Artificial Intelligence (1962-present)

recent open access

2025 (214)

Computing (general) / IEEE Computer

2025	The Role of Knowledge Graphs on Responsible Artificial Intelligence Realization: Research Opportunities and Challenges IEEE Computer 2025 (6); by Xiang Li, Qing Liu, Quan Bai, Xiwei Xu
2025	Artificial Intelligence, Concrete, and Wood IEEE Computer 2025 (6); by Michael Chapiro, Jeffrey M. Voas
2025	How Artificial Intelligence Is Reshaping Our Lives: A Framework to Unravel Its Complexities IEEE Computer 2025 (6); by Antonio Mastropaolo
2025	Assured Autonomy, Artificial Intelligence, and Machine Learning IEEE Computer 2025 (6); by Phil Laplante
2025	Redefining Human Resource Practices With AI Agents and Agentic AI: Automated Compliance and Enhanced Productivity IEEE Computer 2025 (6); by Nir Kshetri
2025	General and Agentic AI, and the Challenges of Xplainable Reliability IEEE Computer 2025 (6); by Angelos Stavrou, Jeffrey M. Voas
2025	Shaping the Future Through Artificial Intelligence Standardization Efforts IEEE Computer 2025 (6); by Jyotika Athavale, Richard Tong
2025	Agentic AI and the Cyber Arms Race IEEE Computer 2025 (5); by Sean Oesch, Jack Hutchins, Phillipe Austria, Amul Chaulagain
2025	Agentic Artificial Intelligence for Cyber Threat Management IEEE Computer 2025 (5); by Nir Kshetri, Jeffrey M. Voas
2025	How AI Agents Are Transforming Software Engineering and the Future of Product Development IEEE Computer 2025 (5); by Sriram Panyam, Praveen Gujar
2025	Evolving AI: What Lies Beyond Today's Language Models IEEE Computer 2025 (5); by Mladan Jovanovic, Mark Campbell
2025	Citizen Development, Low-Code/No-Code Platforms, and the Evolution of Generative AI in Software Development IEEE Computer 2025 (5); by J. T. Sodano, Joanna F. DeFranco
2025	Cyberdidacticism: The New Epistemic Paradigm for Cognitive Minimalism and Generative Artificial Intelligence IEEE Computer 2025 (5); by Hal Berghel
2025	AI for Cloud and SaaS: Technologies and Business Models IEEE Computer 2025 (4); by Christof Ebert, Sriram Panyam, Praveen Gujar
2025	From Predictive and Generative to Agentic AI: Shaping the Future of Marketing Operations and Strategies IEEE Computer 2025 (4); by Nir Kshetri
2025	Intention Is All You Need to Create Your Own Hollywood Blockbuster MoviesRevolutionizing Filmmaking With Generative AI and Saga IEEE Computer 2025 (4); by Russell S. A. Palmer, Andrew M. A. Palmer
2025	Uncertainty in Machine Learning and Future Computers IEEE Computer 2025 (4); by Shinya Takamaeda-Yamazaki
2025	Big Tech, Big Energy, and AI IEEE Computer 2025 (4); by Nir Kshetri, Jeffrey M. Voas
2025	Measuring and Visualizing Dataset Coverage for Machine Learning IEEE Computer 2025 (4); by D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker
2025	Robust Intrusion Detection With Combinatorial Fusion and Generative Artificial Intelligence IEEE Computer 2025 (4); by Evans Owusu, Mariyam Mapkar, Mohamed Rahouti, Dinesh C. Verma
2025	The University as an AI Ombudsman - Part II IEEE Computer 2025 (3); by Yanyi Wu
2025	AI-Accelerated Electronic Materials Discovery and Development IEEE Computer 2025 (2); by Christopher C. Price, Ichiro Takeuchi, James M. Rondinelli, Wei Chen, Christopher L. Hinkle
2025	The University as an AI Ombudsman - Part 1 IEEE Computer 2025 (2); by Yanyi Wu
2025	Architecture 2.0: Foundations of Artificial Intelligence Agents for Modern Computer System Design IEEE Computer 2025 (2); by Vijay Janapa Reddi, Amir Yazdanbakhsh
2025	Building Trust in AI: How Blockchain Enhances Data Integrity, Security, and Privacy IEEE Computer 2025 (2); by Nir Kshetri
2025	Self-Directing AI: The Road to Fully Autonomous AI Agents IEEE Computer 2025 (2); by Mladan Jovanovic, Mark Campbell
2025	Synthetic Data: A New Frontier for Democratizing Artificial Intelligence and Data Access IEEE Computer 2025 (2); by Abdul Majeed, Seong Oun Hwang
2025	Augmented Artificial Intelligence in 5G, 6G, and Beyond: A Quantum Leap IEEE Computer 2025 (1); by Saurabh Sinha, Johannes Wynand Lambrechts, Abadahigwa Bimana, Aili Ashipala
2025	Economics of Open Source Software and AI Models IEEE Computer 2025 (1); by Nir Kshetri
2025	Computing Through Time: Augmented AI IEEE Computer 2025 (1); by Ergun Akleman

Computing (general) / Communications of the ACM

2025	Building Safer and Interoperable AI systems Communications of the ACM 2025 (2); by Vinton G. Cerf
2025	Artificial Intelligence Then and Now Communications of the ACM 2025 (2); by Thomas Haigh
2025	Can AI Keep Accessible Communication in the Picture? Communications of the ACM 2025 (1); by Timothy Neate
2025	Can We Build AI That Does Not Harm Queer People? Communications of the ACM 2025 (5); by Sabine Weber
2025	Boolean Clashes: Discretionary Decision Making in AI-Driven Recruiting Communications of the ACM 2025 (5); by Mona Sloane
2025	Shining a Light on AI Hallucinations Communications of the ACM 2025 (5); by Samuel Greengard
2025	The Pollution of AI Communications of the ACM 2025 (5); by Antonis C. Kakas
2025	Does AI Prediction Scale to Decision Making? Communications of the ACM 2025 (4); by Mari Sako, Teppo Felin
2025	Preprinting in AI Ethics: Toward a Set of Community Guidelines Communications of the ACM 2025 (4); by Henrik Skaug Sætra
2025	Crowdsourcing or AI Sourcing? Communications of the ACM 2025 (4); by Evgenia Christoforou, Gianluca Demartini, Jahna Otterbacher
2025	California's AI Act Vetoed Communications of the ACM 2025 (3); by Pamela Samuelson
2025	Program Merge: What's Deep Learning Got to Do with It? Communications of the ACM 2025 (3); by Shuvendu K. Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Miejer, Terry Coatta
2025	Artificial Intelligence as Catalyst for Biodiversity Understanding Communications of the ACM 2025 (3); by Charles Morphy D. Santos, João Paulo Gois
2025	Feedback Loops Guide AI to Proof Checking Communications of the ACM 2025 (3); by Chris Edwards
2025	The AI Alignment Paradox Communications of the ACM 2025 (3); by Robert West, Roland Aydin

Computing (general) / PhD Theses

2025	Supporting Diagnosis of Pathologists with Human-AI Collaboration PhD Theses 2025 (1); by Hongyan Gu
2025	Application of Machine Learning and Data Science in Synthetic Organic Chemistry PhD Theses 2025 (1); by Jason Wang
2025	Optimizing Road Network Resilience with Scalable Machine Learning Algorithms and Hyperlocal Data Fusion PhD Theses 2025 (1); by Sven Malama
2025	Deep learning-enabled computational imaging: from diffractive computing to microscopy PhD Theses 2025 (1); by Çagatay Isil
2025	Hardware Accelerator Design for Scientific Computing and Machine Learning Workloads PhD Theses 2025 (1); by Paul Xuanyuanliang Huang
2025	Machine Learning Techniques for LiDAR Sensor-Based Head Orientation Estimation and Behavior Analysis for Individuals with Autism PhD Theses 2025 (1); by Onur N. Tepencelik
2025	Privacy meets Robustness: Unveiling the interplay between Differential Privacy and Robustness in Machine Learning PhD Theses 2025 (1); by Xiyang Liu
2025	Physics-Informed Deep Learning for Trajectory Prediction and Uncertainty Quantification PhD Theses 2025 (1); by Zhaobin Mo
2025	Federation of heterogeneous models with machine learning-assisted model views. (Fédération de modèles hétérogènes avec des vues sur les modèles assistées par l'apprentissage automatique) PhD Theses 2025 (1); by James William Pontes Miranda
2025	Detection of Stealthy Distributed Denial of Service Attacks Using Artificial Intelligence Methods. (Détection d'attaques furtives par déni de service distribué à l'aide de méthodes d'intelligence artificielle) PhD Theses 2025 (1); by Vinícius de Miranda Rios
2025	Learning on graphs: from algorithms to socio-technical analyses on AI. (Apprentissage sur graphes: des algorithmes aux analyses socio-techniques de l'IA) PhD Theses 2025 (1); by Simon Delarue
2025	Towards Trustworthy Survival Analysis with Machine Learning Models PhD Theses 2025 (1); by Abdallah Alabdallah
2025	Forecasting battles: New machine learning methods for predicting armed conflict PhD Theses 2025 (1); by Mihai Croicu
2025	Intelligent Data Management via Machine Learning: From Storage Hierarchy to Information Hierarchy PhD Theses 2025 (1); by Tianru Zhang
2025	Decentralized deep learning in statistically heterogeneous environments PhD Theses 2025 (1); by Edvin Listo Zec
2025	Addressing Shortcomings of Explainable Machine Learning Methods PhD Theses 2025 (1); by Amr Alkhatib
2025	Structured models for scientific machine learning: From graphs to kernels PhD Theses 2025 (1); by Maria Bånkestad
2025	Achieving quantum utility and quantum advantage through AI-based approaches and efficient data driven models PhD Theses 2025 (1); by Andrea Ceschini
2025	Data and Computation-efficient Deep Learning for Multi-agent Systems PhD Theses 2025 (1); by Beomseok Kang
2025	Towards Workload-aware Efficient Machine Learning Systems PhD Theses 2025 (1); by Redwan Ibne Seraj Khan
2025	Democratizing Human-Centered AI with Visual Explanation and Interactive Guidance PhD Theses 2025 (1); by Zijie J. Wang
2025	AI Driven Smart Tightening and Feature Management System for Agile Assembly PhD Theses 2025 (1); by Lifei Tang
2025	Efficient and Scalable Machine Learning Methods for Robust Bayesian Optimal Experimental Design PhD Theses 2025 (1); by Jinwoo Go
2025	Deep learning for geographical feature extraction and alignment from heterogeneous (historical) maps PhD Theses 2025 (1); by Sidi Wu
2025	Behavior Analysis for Deep Learning-based Human-Centred Solutions PhD Theses 2025 (1); by Giorgia Marullo
2025	Advances in predictive modeling with tree-based machine learning: Applications to automated valuation models PhD Theses 2025 (1); by Anders Hjort
2025	Efficient Machine Learning for Edge Computing: Architecture and Application PhD Theses 2025 (1); by Wenyao Zhu
2025	Machine Learning algorithms in Computational Fluid Dynamics: Improving Reynolds-Averaged Navier-Stokes equations by ML closure models PhD Theses 2025 (1); by Davide Oberto
2025	From detailed acoustic analysis to AI: designing and developing advanced speech analysis tools PhD Theses 2025 (1); by Kaleem Kashif
2025	Proactive Balancing: AI-driven video-based Active Assisted Living technologies and balancing of interests PhD Theses 2025 (1); by Maksymilian Michal Kuzmicz
2025	Spazio ai dati: Il design data-driven per visualizzare e organizzare le risorse aziendali: co-progettare con il Real Estate TIM PhD Theses 2025 (1); by Sofia Cretaio
2025	Achieving resiliency in smart manufacturing through Artificial Intelligence PhD Theses 2025 (1); by Flavia Monti
2025	Deep learning based binary code analysis PhD Theses 2025 (1); by Fiorella Artuso
2025	Advancing Distribution Automation through Model-based and Machine Learning Approaches PhD Theses 2025 (1); by Zhengrong Chen
2025	Monitoring the production of plastic consumables for laboratories: an artificial intelligence approach to balance efficiency and sustainability PhD Theses 2025 (1); by Meriam Zribi
2025	Deep learning with structured data: topology inference and higher-order modeling PhD Theses 2025 (1); by Lev Telyatnikov
2025	Leveraging Structured Knowledge to Enable Efficient AI Assistants PhD Theses 2025 (1); by Karan Samel
2025	AI-Enhanced ABM Development: Facilitating Agent-based Modeling using Artificial Intelligence PhD Theses 2025 (1); by Siamak Khatami
2025	Explainable AI for Intelligent Trajectory Design in UAV-Assisted Wireless Networks PhD Theses 2025 (1); by Khalid Khan
2025	Advancements in time series analysis using deep learning PhD Theses 2025 (1); by Federico Succetti
2025	Bridging AI and Personalization: From Social Media Insights to Targeted Marketing ; Yapay Zeka ve Kişiselleştirme: Sosyal Medya İçgörülerinden Hedefli Pazarlamaya PhD Theses 2025 (1); by Yusuf Mücahit Çetinkaya
2025	Application of Artificial Intelligence and Robotic Musicianship in South Indian Classical Music PhD Theses 2025 (1); by Raghavasimhan Sankaranarayanan
2025	Human-AI Partnerships in Gesture-Controlled Interactive Music Systems PhD Theses 2025 (1); by Jason Brent Smith
2025	Towards interpretable and controllable machine learning models via logic reasoning PhD Theses 2025 (1); by Yuan Yang
2025	Efficient AI Stack: Deployment-Aware Neural Architecture Search and Serving of Deep Neural Networks PhD Theses 2025 (1); by Alind Khare
2025	Efficiency in Deep Learning: from theoretical foundations to real-world applications PhD Theses 2025 (1); by Lorenzo Papa
2025	Unleashing the Power of AI to Automate Cybersecurity PhD Theses 2025 (1); by Luca Gioacchini
2025	Mutual Theory of Mind for Human-AI Communication in AI-Mediated Social Interaction PhD Theses 2025 (1); by Qiaosi Wang
2025	AI Assisted Mobility Management for Cellular Connected UAVs PhD Theses 2025 (1); by Irshad A. Meer
2025	PDE methods for deep learning analysis and optimization PhD Theses 2025 (1); by Yuxin Sun
2025	Deep Learning Personalization Methods in Peer-to-peer Heterogeneous Systems ; Metode personalizacije dubokog učenja u istorazinskim heterogenim sustavima PhD Theses 2025 (1); by Robert Sajina
2025	Computational Sensemaking for Embodied Co-Creative Artificial Intelligence PhD Theses 2025 (1); by Manoj Deshpande
2025	Human-centered Explainable AI PhD Theses 2025 (1); by Upol Ehsan
2025	Optimized frameworks for deep learning on compressed images PhD Theses 2025 (1); by Karim El Khoury
2025	Error Resilient and Adaptive Deep Learning Systems PhD Theses 2025 (1); by Kwondo Ma
2025	Improving Power System Approximations Through Machine Learning-Inspired Optimization Methods PhD Theses 2025 (1); by Babak Taheri
2025	Semantic communication based on generative AI: a new approach to image compression and edge optimization PhD Theses 2025 (1); by Francesco Pezone

Software Engineering / SE Radio Podcasts (FREE)

2025	SE Radio 666: Eran Yahav on the Tabnine AI Coding Assistant SE Radio Podcasts (FREE) 2025 Eran Yahav,…
2025	SE Radio 647: Praveen Gujar on Gen AI for Digital Ad Tech Platforms SE Radio Podcasts (FREE) 2025 Praveen Gujar, Director of Product at LinkedIn, joins SE Radio host Kanchan Shringi for a discussion on how generative AI GenAI is transforming digital…

Computing (general) / ACM Computing Surveys

2025	Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey ACM Computing Surveys 2025 (8); by Huali Xu, Shuaifeng Zhi, Shuzhou Sun, Vishal M. Patel, Li Liu
2025	Artificial Intelligence as a Service (AIaaS) for Cloud, Fog and the Edge: State-of-the-Art Practices ACM Computing Surveys 2025 (8); by Naeem Syed, Adnan Anwar, Zubair A. Baig, Sherali Zeadally
2025	Machine Learning for Infectious Disease Risk Prediction: A Survey ACM Computing Surveys 2025 (8); by Mutong Liu, Yang Liu, Jiming Liu
2025	A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks ACM Computing Surveys 2025 (8); by Beatrice Casey, Joanna C. S. Santos, George Perry
2025	Facial Expression Analysis in Parkinsons's Disease Using Machine Learning: A Review ACM Computing Surveys 2025 (8); by Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Danilo Samuel Jodas, João Paulo Papa, Dinesh Kant Kumar
2025	Green Federated Learning: A New Era of Green Aware AI ACM Computing Surveys 2025 (8); by Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Francesco Piccialli
2025	Deep Learning Library Testing: Definition, Methods and Challenges ACM Computing Surveys 2025 (7); by Xiaoyu Zhang, Weipeng Jiang, Chao Shen, Qi Li, Qian Wang, Chenhao Lin, Xiaohong Guan
2025	AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways ACM Computing Surveys 2025 (7); by Zehang Deng, Yongjian Guo, Changzhou Han, Wanlun Ma, Junwu Xiong, Sheng Wen, Yang Xiang
2025	Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices ACM Computing Surveys 2025 (7); by Mikolaj Malkinski, Jacek Mandziuk
2025	Deep Learning Based Image Aesthetic Quality Assessment- A Review ACM Computing Surveys 2025 (7); by Maedeh Daryanavard Chounchenani, Asadollah Shahbahrami, Reza Hassanpour, Georgi Gaydadjiev
2025	Point Cloud-Based Deep Learning in Industrial Production: A Survey ACM Computing Surveys 2025 (7); by Yi Liu, Changsheng Zhang, Xingjun Dong, Jiaxu Ning
2025	Decoding Fake News and Hate Speech: A Survey of Explainable AI Techniques ACM Computing Surveys 2025 (7); by Mikel K. Ngueajio, Saurav K. Aryal, Marcellin Atemkeng, Gloria J. Washington, Danda B. Rawat
2025	Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives ACM Computing Surveys 2025 (6); by Atul Rawal, Adrienne Raglin, Danda B. Rawat, Brian M. Sadler, James McCoy
2025	Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications ACM Computing Surveys 2025 (6); by Tong Li, Qingyue Long, Haoye Chai, Shiyuan Zhang, Fenyu Jiang, Haoqiang Liu, Wenzhen Huang, Depeng Jin, Yong Li
2025	Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance ACM Computing Surveys 2025 (6); by Wenqi Wei, Ling Liu
2025	Introduction to Special Issue on Trustworthy Artificial Intelligence (Part II) ACM Computing Surveys 2025 (6); by Roberta Calegari, Fosca Giannotti, Michela Milano, Francesca Pratesi
2025	Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning ACM Computing Surveys 2025 (6); by Xiaoli Tang, Han Yu
2025	Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness ACM Computing Surveys 2025 (6); by Bhanu Chander, Chinju John, Lekha Warrier, Kumaravelan Gopalakrishnan
2025	Fairness in Deep Learning: A Survey on Vision and Language Research ACM Computing Surveys 2025 (6); by Otávio Parraga, Martin D. Móre, Christian Mattjie de Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis Vinícius de Moura, Gabriel S. Simões, Rodrigo C. Barros
2025	Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions ACM Computing Surveys 2025 (6); by Md Imran Hossain, Ghada Zamzmi, Peter R. Mouton, Md Sirajus Salekin, Yu Sun, Dmitry B. Goldgof
2025	IMPACTS Homeostasis Trust Management System: Optimizing Trust in Human-AI Teams ACM Computing Surveys 2025 (6); by Ming Hou, Simon P. Banbury, Brad Cain, Scott Fang, Hannah Willoughby, Liam Foley, Edward W. Tunstel, Imre J. Rudas
2025	Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey ACM Computing Surveys 2025 (6); by Lea Demelius, Roman Kern, Andreas Trügler
2025	Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions ACM Computing Surveys 2025 (6); by Ons Aouedi, Van An Le, Kandaraj Piamrat, Yusheng Ji
2025	Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach ACM Computing Surveys 2025 (5); by Firas Bayram, Bestoun S. Ahmed
2025	Distributed Machine Learning in Edge Computing: Challenges, Solutions and Future Directions ACM Computing Surveys 2025 (5); by Jingke Tu, Lei Yang, Jiannong Cao
2025	ISP Meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing ACM Computing Surveys 2025 (5); by Claudio Filipi Goncalves dos Santos, Rodrigo Reis Arrais, Jhessica Victoria Santos da Silva, Matheus Henrique Marques da Silva, Wladimir Barroso Guedes de Araújo Neto, Leonardo Tadeu Lopes, Guilherme Augusto Bileki, Iago Oliveira Lima, Lucas Borges Rondon, Bruno Melo de Souza, Mayara Costa Regazio, Rodolfo Coelho Dalapicola, Arthur Alves Tasca
2025	Adversarial Binaries: AI-guided Instrumentation Methods for Malware Detection Evasion ACM Computing Surveys 2025 (5); by Luke Koch, Edmon Begoli
2025	A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold ACM Computing Surveys 2025 (5); by Yanhong Fei, Yingjie Liu, Chentao Jia, Zhengyu Li, Xian Wei, Mingsong Chen
2025	Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning ACM Computing Surveys 2025 (5); by Maxwell Standen, Junae Kim, Claudia Szabo
2025	Data-centric Artificial Intelligence: A Survey ACM Computing Surveys 2025 (5); by Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu
2025	Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review ACM Computing Surveys 2025 (5); by Ruyue Xin, Jingye Wang, Peng Chen, Zhiming Zhao
2025	A Survey of AI-Generated Content (AIGC) ACM Computing Surveys 2025 (5); by Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2025	Open-Ethical AI: Advancements in Open-Source Human-Centric Neural Language Models ACM Computing Surveys 2025 (4); by Sabrina Sicari, Jesús Fernando Cevallos Moreno, Alessandra Rizzardi, Alberto Coen-Porisini
2025	Backdoor Attacks and Defenses Targeting Multi-Domain AI Models: A Comprehensive Review ACM Computing Surveys 2025 (4); by Shaobo Zhang, Yimeng Pan, Qin Liu, Zheng Yan, Kim-Kwang Raymond Choo, Guojun Wang
2025	Private and Secure Distributed Deep Learning: A Survey ACM Computing Surveys 2025 (4); by Corinne G. Allaart, Saba Amiri, Henri E. Bal, Adam Belloum, Leon Gommans, Aart van Halteren, Sander Klous
2025	Collaborative Distributed Machine Learning ACM Computing Surveys 2025 (4); by David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev
2025	AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective ACM Computing Surveys 2025 (4); by Bingqiao Luo, Zhen Zhang, Qian Wang, Anli Ke, Shengliang Lu, Bingsheng He
2025	Explainable Artificial Intelligence: Importance, Use Domains, Stages, Output Shapes, and Challenges ACM Computing Surveys 2025 (4); by Naeem Ullah, Javed Ali Khan, Ivanoe De Falco, Giovanna Sannino
2025	Cybersecurity in Electric and Flying Vehicles: Threats, Challenges, AI Solutions & Future Directions ACM Computing Surveys 2025 (4); by Hamed Alqahtani, Gulshan Kumar
2025	A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare ACM Computing Surveys 2025 (4); by Yu Zheng, Qianyue Hao, Jingwei Wang, Changzheng Gao, Jinwei Chen, Depeng Jin, Yong Li
2025	Deep Learning Aided Intelligent Reflective Surfaces for 6G: A Survey ACM Computing Surveys 2025 (3); by Muhammad Tariq, Sohail Ahmad, Mian Ahmad Jan, Houbing Song
2025	A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning ACM Computing Surveys 2025 (3); by Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jack Jiang, Nachiappan Nagappan
2025	Artificial Intelligence to Support the Training and Assessment of Professionals: A Systematic Literature Review ACM Computing Surveys 2025 (3); by Mariano Albaladejo-González, José A. Ruipérez-Valiente, Félix Gómez Mármol
2025	Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation ACM Computing Surveys 2025 (3); by Qian Wang, Hong-Ning Dai, Jinghua Yang, Cai Guo, Peter R. N. Childs, Maaike Kleinsmann, Yike Guo, Pan Wang
2025	Green IN Artificial Intelligence from a Software Perspective: State-of-the-Art and Green Decalogue ACM Computing Surveys 2025 (3); by María Gutiérrez, María Ángeles Moraga, Félix García, Coral Calero
2025	A Review on Blockchain Technology, Current Challenges, and AI-Driven Solutions ACM Computing Surveys 2025 (3); by Mohamed Moetez Abdelhamid, Layth Sliman, Raoudha Ben Djemaa, Guido Perboli
2025	On Efficient Training of Large-Scale Deep Learning Models ACM Computing Surveys 2025 (3); by Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
2025	The Gap Between Trustworthy AI Research and Trustworthy Software Research: A Tertiary Study ACM Computing Surveys 2025 (3); by Bohan Liu, Gongyuan Li, He Zhang, Yuzhe Jin, Zikuan Wang, Dong Shao
2025	A Practical Tutorial on Explainable AI Techniques ACM Computing Surveys 2025 (2); by Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur d'Avila Garcez, Natalia Díaz Rodríguez
2025	Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities ACM Computing Surveys 2025 (2); by Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao
2025	Machine Learning for Actionable Warning Identification: A Comprehensive Survey ACM Computing Surveys 2025 (2); by Xiuting Ge, Chunrong Fang, Xuanye Li, Weisong Sun, Daoyuan Wu, Juan Zhai, Shang-Wei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen
2025	A Survey on Deep Learning for Design and Generation of Virtual Architecture ACM Computing Surveys 2025 (2); by Anqi Wang, Jiahua Dong, Lik-Hang Lee, Jiachuan Shen, Pan Hui
2025	Adversarial Attacks and Countermeasures on Image Classification-based Deep Learning Models in Autonomous Driving Systems: A Systematic Review ACM Computing Surveys 2025 (1); by Bakary Badjie, José Cecílio, António Casimiro
2025	Deep Learning for Time Series Anomaly Detection: A Survey ACM Computing Surveys 2025 (1); by Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu Aggarwal, Mahsa Salehi

Software Engineering / IEEE Software

2025	What No One's Talking About in AI Governance IEEE Software 2025 (4); by Sue Black
2025	AI in State Courts: Navigating Innovation and Ethics With Andrea Miller IEEE Software 2025 (4); by Brittany Johnson, Tim Menzies
2025	From Code Generation to Software Testing: AI Copilot With Context-Based Retrieval-Augmented Generation IEEE Software 2025 (4); by Yuchen Wang, Shangxin Guo, Chee Wei Tan
2025	AI-Powered Software Testing Tools: Full Autonomy Remains a Distant Goal IEEE Software 2025 (4); by Vahid Garousi, Nithin Joy, Davide Taibi
2025	Next-Generation Software Testing: AI-Powered Test Automation IEEE Software 2025 (4); by Filippo Ricca, Boni García, Michel Nass, Mark Harman
2025	Transforming Testing: AI as Our Testing Partner IEEE Software 2025 (4); by Sigrid Eldh
2025	Generative AI for Data Science IEEE Software 2025 (4); by Christof Ebert, Priyanka Nawalramka
2025	Exploring Generative AI in Automated Software Engineering IEEE Software 2025 (3); by Miroslaw Staron, Silvia Abrahão
2025	On AI-Inspired User Interface Design IEEE Software 2025 (3); by Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais, Gérard Dray, Walid Maalej
2025	Beyond Just Generative AI for Discovering Software Opportunities IEEE Software 2025 (3); by Neil A. M. Maiden, Konstantinos Zachos, Kostas Petrianakis, James Lockerbie, Chantakan Chanpalangsri, Holger Ernst, Seyfettin Kara
2025	Interpretability/Explainability Applied to Machine Learning Software Defect Prediction: An Industrial Perspective IEEE Software 2025 (3); by Szymon Stradowski, Lech Madeyski
2025	Matthew Adams on AI Threat Modeling and STRIDE GPT IEEE Software 2025 (3); by Priyanka Raghavan
2025	QB4AIRA: A Question Bank for Responsible AI Risk Assessment IEEE Software 2025 (3); by Sung Une Lee, Harsha Perera, Boming Xia, Yue Liu, Qinghua Lu, Liming Zhu, Olivier Salvado, Jon Whittle
2025	Seamful AI for Creative Software Engineering: Use in Software Development Workflows IEEE Software 2025 (3); by Sarah Inman, Ambar Murillo, Sarah D'Angelo, Adam Brown, Collin Green
2025	N-Version Assessment and Enhancement of Generative AI: Differential GAI IEEE Software 2025 (2); by Marcus Kessel, Colin Atkinson
2025	Legal Aspects for Software Developers Interested in Generative AI Applications IEEE Software 2025 (2); by Steffen Herbold, Brian Valerius, Anamaria Mojica-Hanke, Isabella Lex, Joel Mittel
2025	Establishing Machine Learning Operations for Continual Learning in Computing Clusters: A Framework for Monitoring and Optimizing Cluster Behavior IEEE Software 2025 (1); by Diana McSpadden, Mark Jones, Ahmed Hossam Mohammed, Bryan Hess, Malachi Schram
2025	Machine Learning Lineage for Trustworthy Machine Learning Systems: Information Framework for MLOps Pipelines IEEE Software 2025 (1); by Mikko Raatikainen, Charalampos Souris, Jukka J. Remes, Vlad Stirbu
2025	A State-of-the-Practice Release-Readiness Checklist for Generative AI-Based Software Products: A Gray Literature Survey IEEE Software 2025 (1); by Harsh Patel, Dominique Boucher, Emad Fallahzadeh, Ahmed E. Hassan, Bram Adams

UX & Human Factors / ACM interactions

2025	AI Hallucinations - Bug or Superpower? ACM interactions 2025 (3); by Scott Minneman, Renato Verdugo
2025	Compassionate AI and Worker Well-Being ACM interactions 2025 (3); by Gopinaath Kannabiran, Jodi Forlizzi
2025	The Inhuman Element: Lessons on Play and Creativity from the Rise of Generative AI ACM interactions 2025 (2); by Samantha Stahlke
2025	Emotion AI Will Not Fix the Workplace ACM interactions 2025 (2); by Nazanin Andalibi
2025	Tapping Into AI - Why HCI Is Critical ACM interactions 2025 (2); by Elizabeth F. Churchill, Mikael Wiberg
2025	From Academia to UX: Embodied Cognition, Creativity, and Generative AI ACM interactions 2025 (2); by Roxanne Naseem Rashedi

Enterprise Computing / IEEE IT Professional

2025	Generative Artificial Intelligence: Project Valuation IEEE IT Professional 2025 (2); by In Lee
2025	Generative Artificial Intelligence in University Education IEEE IT Professional 2025 (2); by Yanyi Wu, Weijia Zhang, Chenghua Lin
2025	Generative Artificial Intelligence for Enterprises: Ecosystem, Typology of Applications, and Challenges IEEE IT Professional 2025 (2); by In Lee
2025	Economic and Social Impacts of Generative Artificial Intelligence IEEE IT Professional 2025 (2); by Nir Kshetri, Ravi Sharma, Aijaz A. Shaikh
2025	Bridging the Gap: The Rise of Neurosymbolic Artificial Intelligence in Advanced Computing IEEE IT Professional 2025 (2); by Priyam Ganguly, Isha Mukherjee
2025	Revolutionizing Higher Education: The Impact of Artificial Intelligence Agents and Agentic Artificial Intelligence on Teaching and Operations IEEE IT Professional 2025 (2); by Nir Kshetri
2025	Generative Artificial Intelligence in Financial Services: Opportunities, Challenges, and Cyberthreats IEEE IT Professional 2025 (2); by Kannan S. Thuraisamy, Zubair A. Baig, Sherali Zeadally
2025	Prudence and Generative Artificial Intelligence IEEE IT Professional 2025 (2); by George F. Hurlburt
2025	Security Vulnerability (Backdoor Trojan) During Machine Learning Accelerator Design Phases IEEE IT Professional 2025 (1); by Anirban Sengupta, Aditya Anshul, Vishal Chourasia, Nabendu Bhui
2025	Artificial Intelligence Adoption Is Easy for Gigs, Start-Ups and Small Companies - But Not Mid-Sized and Large Enterprises IEEE IT Professional 2025 (1); by Stephen J. Andriole
2025	Economics of Agentic AI in the Health-Care Industry IEEE IT Professional 2025 (1); by Nir Kshetri
2025	Harnessing AI Augmentation for Effective Digital Transformation Leadership IEEE IT Professional 2025 (1); by Stijn Viaene
2025	Generative Artificial Intelligence: Current Trends, Issues, and Challenges IEEE IT Professional 2025 (1); by Piyush Vyas, Gitika Vyas
2025	Could Artificial Intelligence Write, Review, Edit, and Produce This Column? IEEE IT Professional 2025 (1); by Charalampos Z. Patrikakis, George F. Hurlburt
2025	Right to Explanation in Large Language Models: Lessons from the European Union AI Act and General Data Protection Regulation IEEE IT Professional 2025 (1); by Lukasz Górski, Shashishekar Ramakrishna

Computing (specialised) / IEEE Security & Privacy

2025	The Dual Role of Machine Learning in Data Anonymization: Top 10 Benefits and Risks IEEE Security & Privacy 2025 (2); by Abdul Majeed, Seong Oun Hwang

Computing (specialised) / IEEE Intelligent Systems

2025	The Rise of Agentic AI: Implications, Concerns, and the Path Forward IEEE Intelligent Systems 2025 (2); by San Murugesan
2025	NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems IEEE Intelligent Systems 2025 (2); by Amit P. Sheth, Vedant Khandelwal, Kaushik Roy, Vishal Pallagani, Megha Chakraborty
2025	On the Measurement of Distribution Shift in Machine Learning Systems IEEE Intelligent Systems 2025 (2); by Ozan K. Tonguz, Federico Taschin
2025	Forty Years of IEEE Intelligent Systems: Heralding Research and Innovation in AI IEEE Intelligent Systems 2025 (1); by Jaideep Vaidya
2025	Artificial Intelligence: Looking Forward 15 Years IEEE Intelligent Systems 2025 (1); by Peter Stone

Hardware and Microprocessor Systems / IEEE Micro

2025	Artificial Intelligence and the Jevons Paradox IEEE Micro 2025 (2); by Shane Greenstein
2025	Toward a Standardized Representation for Deep Learning Collective Algorithms IEEE Micro 2025 (2); by Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2025	Rise of the Agentic AI Workforce IEEE Micro 2025 (1); by Hsien-Hsin S. Lee
2025	Advancing Tiny Machine Learning Operations: Robust Model Updates in the Internet of Intelligent Vehicles IEEE Micro 2025 (1); by Thommas K. S. Flores, Ivanovitch Silva, Mariana Azevedo, Thaís Medeiros, Morsinaldo Medeiros, Daniel G. Costa, Paolo Ferrari, Emiliano Sisinni

Computing (specialised) / IEEE Computing in Science & Engineering

2025	A Unifying Framework to Enable Artificial Intelligence in High-Performance Computing Workflows IEEE Computing in Science & Engineering 2025 (1); by Jens Domke, Mohamed Wahib, Anshu Dubey, Tal Ben-Nun, Erik W. Draeger

Software Engineering / Martin Fowler (FREE)

2025	Exploring Generative AI Martin Fowler (FREE) 2025 Generative AI and particularly LLMs Large Language Models have exploded into the public consciousness.

Software Engineering / GOTO Conference Videos (FREE)

2025	Tech Leadership Challenges: Communication & AI at FT GOTO Conference Videos (FREE) 2025; by Alice Bartlett, Charles Humble
2025	The State of the Art of Spring AI GOTO Conference Videos (FREE) 2025; by Josh Long
2025	Ethics in AI's Wild West: Biases & Responsibilities GOTO Conference Videos (FREE) 2025; by Michelle Frost, Hannes Lowette
2025	Prompt Engineering for Generative AI GOTO Conference Videos (FREE) 2025; by James Phoenix, Mike Taylor, Phil Winder

2024 (983)

Computing (general) / Communications of the ACM

2024	Empower Diversity in AI Development Communications of the ACM 2024 (12); by Karl Werder, Lan Cao, Balasubramaniam Ramesh, Eun Hee Park
2024	AI Judging in Sports Communications of the ACM 2024 (12); by Esther Shein
2024	AI Must Be Anti-Ableist and Accessible Communications of the ACM 2024 (12); by Jennifer Mankoff, Devva Kasnitz, L. Jean Camp, Jonathan Lazar, Harry Hochheiser
2024	The 5 th Paradigm: AI-Driven Scientific Discovery Communications of the ACM 2024 (12); by Yannis E. Ioannidis
2024	The EU AI Act and the Wager on Trustworthy AI Communications of the ACM 2024 (12); by Alejandro Bellogín, Oliver Grau, Stefan Larsson, Gerhard Schimpf, Biswa Sengupta, Gürkan Solmaz
2024	HammingMesh: A Network Topology for Large-Scale Deep Learning Communications of the ACM 2024 (12); by Torsten Hoefler, Tommaso Bonoto, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Deepak Goel, Miguel Castro, Steve Scott
2024	An AI Learning Hierarchy Communications of the ACM 2024 (12); by Peter J. Denning, Ted G. Lewis
2024	Between the Booms: AI in Winter Communications of the ACM 2024 (11); by Thomas Haigh
2024	Machine Learning in Computer Security is Difficult to Fix Communications of the ACM 2024 (11); by Battista Biggio
2024	Directions of Technical Innovation for Regulatable AI Systems Communications of the ACM 2024 (11); by Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez
2024	Pitfalls in Machine Learning for Computer Security Communications of the ACM 2024 (11); by Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2024	Toward Effective AI Support for Developers: A survey of desires and concerns Communications of the ACM 2024 (11); by Mansi Khemka, Brian Houck
2024	The Paradigm Shifts in Artificial Intelligence Communications of the ACM 2024 (11); by Vasant Dhar
2024	A Hybrid Future for AI: The drive for efficiency brings large language models out of the cloud Communications of the ACM 2024 (10); by Chris Edwards
2024	The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity Communications of the ACM 2024 (10); by Tanmoy Chakraborty, Sarah Masud
2024	AI Should Challenge, Not Obey Communications of the ACM 2024 (10); by Advait Sarkar
2024	AI Reinvents Chip Design Communications of the ACM 2024 (9); by Samuel Greengard
2024	LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models Communications of the ACM 2024 (9); by Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris
2024	Trustworthy AI Using Confidential Federated Learning Communications of the ACM 2024 (9); by Jinnan Guo, Peter R. Pietzuch, Andrew Paverd, Kapil Vaswani
2024	The Impact of AI on Computer Science Education Communications of the ACM 2024 (9); by Esther Shein
2024	Advancing the Search Frontier with AI Agents Communications of the ACM 2024 (9); by Ryen W. White
2024	Will AI Flood Us with Irrelevant Papers? Communications of the ACM 2024 (9); by Daniel Lemire
2024	Using Generative AI in Finance, and the Lack of Emergent Behavior in LLMs Communications of the ACM 2024 (8); by Ranjeeta Bhattacharya, Mario Antoine Aoun
2024	How Today's Recommender Systems Use Machine Learning to Cater to Your Every Whim Communications of the ACM 2024 (8); by Logan Kugler
2024	Can Artificial Intelligence Be Open Sourced? Communications of the ACM 2024 (8); by Gregory Goth
2024	Artificial Intelligence, Social Responsibility, and the Roles of the University Communications of the ACM 2024 (8); by Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang
2024	Generative AI Requires Broad Labor Policy Considerations Communications of the ACM 2024 (8); by Ed Felten, Manav Raj, Rob Seamans
2024	ForestEyes: Citizen Scientists and Machine Learning-Assisting Rainforest Conservation Communications of the ACM 2024 (8); by Álvaro Luiz Fazenda, Fábio Augusto Faria
2024	The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond Communications of the ACM 2024 (7); by Abigail Sellen, Eric Horvitz
2024	How to Think about Remedies in the Generative AI Copyright Cases Communications of the ACM 2024 (7); by Pamela Samuelson
2024	Raising the Dead with AI Communications of the ACM 2024 (6); by Logan Kugler
2024	Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice Communications of the ACM 2024 (6); by Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
2024	Test-Driven Ethics for Machine Learning Communications of the ACM 2024 (5); by Nicholas Berente, Cameron Kormylo, Christoph Rosenkranz
2024	Computer Vision, ML, and AI in the Study of Fine Art Communications of the ACM 2024 (5); by David G. Stork
2024	Thoughts on AI Interoperability Communications of the ACM 2024 (4); by Vinton G. Cerf
2024	Governments Setting Limits on AI Communications of the ACM 2024 (4); by Esther Shein
2024	How Generative AI Fits into Knowledge Work Communications of the ACM 2024 (4); by Mari Sako
2024	Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond Communications of the ACM 2024 (4); by Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel
2024	Abusing AI for Advertising Communications of the ACM 2024 (4); by Keith Kirkpatrick
2024	Generative AI and CS Education Communications of the ACM 2024 (4); by Maggie Johnson
2024	U.S. Copyright Office's Questions about Generative AI Communications of the ACM 2024 (3); by Pamela Samuelson
2024	Generative AI Degrades Online Communities Communications of the ACM 2024 (3); by Gordon Burtch, Dokyun Lee, Zhichen Chen
2024	Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective Communications of the ACM 2024 (3); by Wojciech Mazurczyk, Dongwon Lee, Andreas Vlachos
2024	Bridging AI with Real-Time Systems: Technical Perspective Communications of the ACM 2024 (2); by Giorgio C. Buttazzo
2024	Gaining Benefit from Artificial Intelligence and Data Science: A Three-Part Framework Communications of the ACM 2024 (2); by Alfred Z. Spector
2024	Energy and Emissions of Machine Learning on Smartphones vs. the Cloud Communications of the ACM 2024 (2); by David Patterson, Jeffrey M. Gilbert, Marco Gruteser, Efren Robles, Krishna Sekar, Yong Wei, Tenghui Zhu
2024	Computing Education in the Era of Generative AI Communications of the ACM 2024 (2); by Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa
2024	Leveraging Professional Ethics for Responsible AI Communications of the ACM 2024 (2); by Nicholas Diakopoulos, Christoph Trattner, Dietmar Jannach, Irene Costera Meijer, Enrico Motta
2024	How the AI Boom Went Bust Communications of the ACM 2024 (2); by Thomas Haigh
2024	Inherent Limitations of AI Fairness Communications of the ACM 2024 (2); by Maarten Buyl, Tijl De Bie
2024	From Eye Tracking to AI-Powered Learning Communications of the ACM 2024 (1); by Sam Zheng
2024	NVIDIA at the Center of the Generative AI Ecosystem - For Now Communications of the ACM 2024 (1); by Michael A. Cusumano

Computing (general) / IEEE Computer

2024	AI Robustness Against Attacks in City-Scale Autonomous Drone Deployments IEEE Computer 2024 (12); by Abdul-Rasheed Ottun, Adeyinka Akintola, Mohan Liyanage, Michell Boerger, Pan Hui, Sasu Tarkoma, Nikolay Tcholtchev, Petteri Nurmi, Huber Flores
2024	Disinformation and Misinformation in the Age of Artificial Intelligence and the Metaverse IEEE Computer 2024 (12); by Nir Kshetri
2024	Generative AI in the Software Development Lifecycle IEEE Computer 2024 (12); by Tracy Trac Bannon, Phil Laplante
2024	Navigating the Landscape of AI-Generated Text Detection: Issues and Solutions for Upholding Academic Integrity IEEE Computer 2024 (11); by Varun Gupta, Chetna Gupta
2024	Global Initiatives on "Safer" and More "Responsible" Artificial Intelligence IEEE Computer 2024 (11); by Ravi S. Sharma, Samia Loucif, Nir Kshetri, Jeffrey M. Voas
2024	Redux: Corporate Governance and Management of AI-Driven Product Development IEEE Computer 2024 (11); by William H. Widen, Marilyn Wolf
2024	Artificial Intelligence Failures in Autonomous Vehicles: Causes, Implications, and Prevention IEEE Computer 2024 (11); by Hem Chandra Joshi, Sandeep Kumar
2024	Generative AI Disproportionately Harms Long Tail Users IEEE Computer 2024 (11); by Barani Maung Maung, Keegan McBride, Jason Samuel Lucas, Maryam Tabar, Dongwon Lee
2024	Defenses Against Artificial Intelligence Attacks IEEE Computer 2024 (11); by Michail Tsikerdekis, Sherali Zeadally, Iyad A. Katib
2024	Bruce Schneier on AI Security (Interview) IEEE Computer 2024 (11); by Hal Berghel
2024	Decoding Real-World Artificial Intelligence Incidents IEEE Computer 2024 (11); by Julia De Miguel Velazquez, Sanja Scepanovic, Andrés Gvirtz, Daniele Quercia
2024	Fusing AI: Multimodal Language Models Inference Across Diverse Inputs IEEE Computer 2024 (11); by Mladan Jovanovic, Mark Campbell
2024	AI Failures IEEE Computer 2024 (11); by M. S. Raunak, D. Richard Kuhn
2024	Artificial Intelligence Employment Interviews: Examining Limitations, Biases, and Perceptions IEEE Computer 2024 (10); by Theresa Fister, George K. Thiruvathukal
2024	Navigating EU Regulations: Challenges for U.S. Technology Firms and the Rise of Europe's Generative AI Ecosystem IEEE Computer 2024 (10); by Nir Kshetri
2024	Artificial Intelligence, the Workforce and Educational Realities IEEE Computer 2024 (10); by George F. Hurlburt
2024	When Should Algorithms Resign? A Proposal for AI Governance IEEE Computer 2024 (10); by Umang Bhatt, Holli Sargeant
2024	Machine Learning Security: Threat Model, Attacks, and Challenges IEEE Computer 2024 (10); by Carson Koball, Yong Wang, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan
2024	Grow Your Artificial Intelligence Competence IEEE Computer 2024 (10); by Christof Ebert, Ulrich Hemel
2024	Artificial Intelligence for the Benefit of Everyone IEEE Computer 2024 (9); by Ali G. Hessami, Alexander Kriebitz, Gerlinde Weger, Eleanor 'Nell' Watson, Patricia Shaw
2024	Infusing Artificial Intelligence Into Software Engineering and the DevSecOps Continuum IEEE Computer 2024 (9); by Tracy Trac Bannon
2024	The Evolution of AI Governance IEEE Computer 2024 (9); by Simon Chesterman, Yuting Gao, Jungpil Hahn, Valerie Sticher
2024	Toward Trustworthy Artificial Intelligence: An Integrated Framework Approach Mitigating Threats IEEE Computer 2024 (9); by Kíng-Pîng Tenn, Yu-Wei Chang, Hong-Yen Chen, Teng-Kai Fan, Tsungnan Lin
2024	Generative AI Changes the World, Maybe IEEE Computer 2024 (9); by Michael Zyda
2024	Adapting to Generative Artificial Intelligence: Approaches in Higher Education Institutions IEEE Computer 2024 (9); by Nir Kshetri, Jeffrey M. Voas
2024	Generative Artificial Intelligence and Problematic Student E-Mails IEEE Computer 2024 (9); by Sorel Reisman
2024	Certifying Generative AI: Retrieval-Augmented Generation Chatbots in High-Stakes Environments IEEE Computer 2024 (9); by Richard Shan
2024	Certifiability Analysis of Machine Learning Systems for Low-Risk Automotive Applications IEEE Computer 2024 (9); by Vinod Vasudevan, Amr Abdullatif, Sohag Kabir, Felician Campean
2024	Language Artificial Intelligence at a Crossroads: Deciphering the Future of Small and Large Language Models IEEE Computer 2024 (8); by Richard Shan
2024	Technology Predictions: Technologies that Advance Humanity and Broad AI Adoption IEEE Computer 2024 (8); by Dejan S. Milojicic, Phil Laplante
2024	Compacting AI: In Search of the Small Language Model IEEE Computer 2024 (8); by Mladan Jovanovic, Mark Campbell
2024	Balancing Innovation and Ethics in AI- and Big Data-Driven Marketing IEEE Computer 2024 (8); by Norita B. Ahmad, Sabir Haque
2024	AI Sensors and Dashboards IEEE Computer 2024 (8); by Huber Flores
2024	Generative Artificial Intelligence in the Financial Services Industry IEEE Computer 2024 (6); by Nir Kshetri
2024	Toward Population Health Intelligence: When Artificial Intelligence Meets Population Health Research IEEE Computer 2024 (6); by Jiangtao Wang, Long Chen, Deborah Lycett, Duncan Vernon, Dingchang Zheng
2024	China Artificial Intelligence Industry Insights IEEE Computer 2024 (6); by Christof Ebert, Xuya Wang
2024	Practical Classroom Use of Generative Artificial Intelligence - A Case Study IEEE Computer 2024 (6); by Sorel Reisman
2024	Disinfecting AI: Mitigating Generative AI's Top Risks IEEE Computer 2024 (5); by Mark Campbell, Mladan Jovanovic
2024	Today Generative AI Is Just a Parlor Trick IEEE Computer 2024 (5); by Michael Zyda
2024	The AI Revolution and the Future of Work: Threats and Opportunities IEEE Computer 2024 (5); by Marco Aiello
2024	Using Explainable AI for Neural Network-Based Network Attack Detection IEEE Computer 2024 (5); by Qingtian Zou, Lan Zhang, Xiaoyan Sun, Anoop Singhal, Peng Liu
2024	AI and Big Data in Contemporary Marketing IEEE Computer 2024 (4); by Sugandha Agarwal, Norita B. Ahmad, Dima Jamali
2024	Machine Learning for Enhancing Public Safety in Modern Cities IEEE Computer 2024 (4); by Eugenio Cesario
2024	Economics of Artificial Intelligence Governance IEEE Computer 2024 (4); by Nir Kshetri
2024	Safety and Artificial Intelligence in Cyberphysical Systems IEEE Computer 2024 (3); by Dimitrios Serpanos, Marilyn Wolf
2024	Large Language Models and Generative AI, Oh My! IEEE Computer 2024 (3); by Michael Zyda
2024	Trustworthy AI-Based Personalized Insulin Recommender for Elderly People Who Have Type-2 Diabetes IEEE Computer 2024 (3); by Padmapritha T, Korkut Bekiroglu, Subathra Seshadhri, Seshadhri Srinivasan
2024	Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions IEEE Computer 2024 (3); by Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor-Pujol, Praveen Kumar Donta, Schahram Dustdar
2024	An AI Harms and Governance Framework for Trustworthy AI IEEE Computer 2024 (3); by Jeremy Peckham
2024	Machine Learning Security Against Data Poisoning: Are We There Yet? IEEE Computer 2024 (3); by Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2024	Computing Through Time: Trustworthy AI IEEE Computer 2024 (3); by Ergun Akleman
2024	Trustworthy AI - Part III IEEE Computer 2024 (3); by Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock
2024	Assured Autonomy, Artificial Intelligence, and Machine Learning: A Roundtable Discussion IEEE Computer 2024 (3); by Phil Laplante, Joanna F. DeFranco, Rick Kuhn
2024	Directing AI: Charting a Roadmap of AI Opportunities and Risks IEEE Computer 2024 (2); by Mark Campbell, Mladan Jovanovic
2024	The Convergence of the Internet of Things and Artificial Intelligence in Medicine: Assessing the Benefits, Challenges, and Risks IEEE Computer 2024 (2); by Nina DeFranco Tommarello, Rebecca Deek
2024	Avoiding Past Mistakes in Unethical Human Subjects Research: Moving From Artificial Intelligence Principles to Practice IEEE Computer 2024 (2); by Kristen K. Greene, Mary Frances Theofanos, Craig Watson, Anne Andrews, Eyeisha Barron
2024	Generative Artificial Intelligence and E-Commerce IEEE Computer 2024 (2); by Nir Kshetri
2024	Making AI Ethical by Design: The UNESCO Perspective IEEE Computer 2024 (2); by Gabriela Ramos, Mariagrazia Squicciarini, Eleonora Lamm
2024	Experts Speak Out About Artificial Intelligence in Education: Second of Two Panel Roundtables IEEE Computer 2024 (2); by George F. Hurlburt, Sorel Reisman
2024	Ethical Issues From Emerging AI Applications: Harms Are Happening IEEE Computer 2024 (2); by Frances S. Grodzinsky, Marty J. Wolf, Keith W. Miller
2024	Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows IEEE Computer 2024 (1); by Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan S. Milojicic, Pavana Prakash, Gourav Rattihalli
2024	Experts Speak Out About Artificial Intelligence in Education: First of Two Roundtables IEEE Computer 2024 (1); by George F. Hurlburt, Sorel Reisman
2024	Generative Artificial Intelligence and the Future of Software Testing IEEE Computer 2024 (1); by Lucas Layman, Ron Vetter
2024	Generative Artificial Intelligence, Semantic Entropy, and the Big Sort IEEE Computer 2024 (1); by Hal Berghel
2024	Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines IEEE Computer 2024 (1); by Abdul Majeed, Seong Oun Hwang
2024	Understanding the Impact of Artificial Intelligence in Academic Writing: Metadata to the Rescue IEEE Computer 2024 (1); by Javier Conde, Pedro Reviriego, Joaquín Salvachúa, Gonzalo Martínez, José Alberto Hernández, Fabrizio Lombardi

Computing (general) / PhD Theses

2024	Enabling AI in Computer Aided Design through Representations PhD Theses 2024 (1); by Benjamin T. Jones
2024	From Texts to Pixels: Leveraging Artificial Intelligence to Achieve Novel Insights into Hydrologic Research, Human-Drought Interactions, and Global Drought Prediction PhD Theses 2024 (1); by Mashrekur Rahman
2024	Smoothness and Adaptivity in Nonlinear Optimization for Machine Learning Applications PhD Theses 2024 (1); by Haochuan Li
2024	Lossy Compression with Machine Learning: Techniques and Fundamental Limits PhD Theses 2024 (1); by Yibo Yang
2024	Robust Modeling through Causal Priors and Data Purification in Machine Learning PhD Theses 2024 (1); by Sunay Bhat
2024	Targeting Social Protection Programs with Machine Learning and Digital Data PhD Theses 2024 (1); by Emily L. Aiken
2024	Understanding Training Data in Large-Scale Machine Learning PhD Theses 2024 (1); by Sang Keun Choe
2024	Machine Learning-Based Detection of Depression Symptoms with Smartphones and Consumer Wearable Devices PhD Theses 2024 (1); by Samir Akre
2024	Towards AI-Assisted Programming: Automation, Comprehensiveness, and Optimization PhD Theses 2024 (1); by Hanxian Huang
2024	Perception amidst interaction: spatial AI with vision and touch for robot manipulation PhD Theses 2024 (1); by Sudharshan Suresh
2024	Enhancing Deep Learning Efficiency: A Hyperdimensional Computing Approach PhD Theses 2024 (1); by Rishikanth Chandrasekaran
2024	Machine Learning and the Multiagent Alignment Problem PhD Theses 2024 (1); by Reilly Raab
2024	Formal Verification of Vision-Based AI-Controlled Cyber-Physical Vehicles PhD Theses 2024 (1); by Ulices Santa Cruz
2024	The Dragon, the Witch and the Juggernaut: Towards a Philosophy of Generative AI PhD Theses 2024 (1); by William R. Morgan
2024	Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning PhD Theses 2024 (1); by Haofeng Zhang
2024	Towards Intelligent Robotic Systems: Unifying Model-based Optimization and Machine Learning for Planning, Control, and Estimation PhD Theses 2024 (1); by Alexander Schperberg
2024	Precise Identification of Neurological Disorders using Deep Learning and Multimodal Clinical Neuroimaging PhD Theses 2024 (1); by David Keetae Park
2024	Robust Machine Learning: Detection, Evaluation and Adaptation Under Distribution Shift PhD Theses 2024 (1); by Saurabh Garg
2024	Combining RF Machine Learning and RF Photonics to Enable New Analog Communications Architectures PhD Theses 2024 (1); by Ronald Davis
2024	Improving Efficiency and Quality of Data Collection with Machine Learning and Citizen Science PhD Theses 2024 (1); by Fahim Hasan Khan
2024	Computational Microscopy with Generalizable and Reliable Artificial Intelligence PhD Theses 2024 (1); by Luzhe Huang
2024	Deep Learning-Based Human Action Understanding in Videos PhD Theses 2024 (1); by Elahe Vahdani
2024	Provably Robust Machine Learning through Structure-Aware Computation PhD Theses 2024 (1); by Brendon G. Anderson
2024	Intelligent Software in the Era of Deep Learning PhD Theses 2024 (1); by Yuke Wang
2024	Generative AI for Music and Audio PhD Theses 2024 (1); by Hao-Wen Dong
2024	Automated Interpretation of Machine Learning Models PhD Theses 2024 (1); by Evan Hernandez
2024	Building Blocks for Human-AI Alignment: Specify, Inspect, Model, and Revise PhD Theses 2024 (1); by Serena Booth
2024	AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning PhD Theses 2024 (1); by Jennifer J. Sun
2024	Defense Frameworks Against Adversarial Attacks on Deep Learning Models PhD Theses 2024 (1); by Zhixun He
2024	Operationalizing Responsible Machine Learning: From Equality Towards Equity PhD Theses 2024 (1); by Angelina Wang
2024	Towards Responsible AI: Safeguarding Privacy, Integrity, and Fairness PhD Theses 2024 (1); by Muhammad Shujaat Mirza
2024	Explainable Machine Learning and Applications in Protein-Ligand Complex Structure Prediction PhD Theses 2024 (1); by Pascal Sturmfels
2024	Auditing the Reasoning Processes of Medical-Image AI PhD Theses 2024 (1); by Alex J. DeGrave
2024	Integration of Control and Dynamical Systems Perspectives to Machine Learning PhD Theses 2024 (1); by Motoya Ohnishi
2024	Building reliable and transparent machine learning systems using structured intermediate representations PhD Theses 2024 (1); by Giulio Zhou
2024	Machine Learning Approaches for Quantitative Analysis and Characterization of Pathological Speech Disorders PhD Theses 2024 (1); by Matthew Perez
2024	Deep Learning-Based Cooperative Perception for Driving Automation PhD Theses 2024 (1); by Zhengwei Bai
2024	Advancing Secure and Efficient Distributed Machine Learning for Edge Systems PhD Theses 2024 (1); by Samaa Gazzaz
2024	Towards Safe, Human-Centered Autonomous Driving: Real-World Artificial Intelligence for Enhanced Situation Awareness and Transition Control PhD Theses 2024 (1); by Ross Greer
2024	Full Stack Approach for Efficient Deep Learning Inference PhD Theses 2024 (1); by Sehoon Kim
2024	Energy-Efficient Hardware Design for Machine Learning with In-Memory Computing PhD Theses 2024 (1); by Bo Zhang
2024	Towards Energy-Efficient and Sustainable Machine Learning Data Centers PhD Theses 2024 (1); by Ali Jahanshahi
2024	Interactive Machine Learning with Heterogeneous Data PhD Theses 2024 (1); by Zhi Wang
2024	Human Mental Models of Self, Others, and AI Agents PhD Theses 2024 (1); by Aakriti Kumar
2024	Integrating Human Expertise and Multi-Modal AI in Digital Pathology PhD Theses 2024 (1); by Fatemeh Ghezloo
2024	Data-Efficient Machine Learning with Applications to Cardiology PhD Theses 2024 (1); by Aniruddh Raghu
2024	Deep Learning Approaches for Scene Understanding PhD Theses 2024 (1); by Hengyue Liu
2024	Knowledge-enhanced Large Language Models and Human-AI Collaboration Frameworks for Creativity Support PhD Theses 2024 (1); by Tuhin Chakrabarty
2024	Modeling of Electromagnetic Responses With Respect to Design Variables: Local Gradients, Surrogate Modeling, and Deep Learning Neural Network PhD Theses 2024 (1); by Botian Zhang
2024	Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond PhD Theses 2024 (1); by Tanmay Gautam
2024	Hardware/Software Co-design Methodologies for Efficient AI Systems and Applications PhD Theses 2024 (1); by Mohanad Odema
2024	Efficient Deep Learning PhD Theses 2024 (1); by Anders Øland
2024	Building reliable machine learning systems for neuroscience PhD Theses 2024 (1); by Estefany Kelly Buchanan
2024	Advances in Explainable AI for Deep Learning: Algorithms and Applications PhD Theses 2024 (1); by Ge Shi
2024	New Perspectives on Adversarially Robust Machine Learning Systems PhD Theses 2024 (1); by Chawin Sitawarin
2024	Speeding Up Coded Distributed Machine Learning PhD Theses 2024 (1); by Xian Su
2024	Multi-tenant Machine Learning Model Serving Systems on GPU Clusters PhD Theses 2024 (1); by Lequn Chen
2024	Artificial Intelligence Algorithms for Large Economic and Computer Games PhD Theses 2024 (1); by Zun Li
2024	Modeling User Engagement on Online Social Platforms - A Context-Aware Machine Learning Approach PhD Theses 2024 (1); by Heinrich Peters
2024	Physical Design Methods and Research Infrastructure for Machine Learning Accelerators PhD Theses 2024 (1); by Zhiang Wang
2024	Understanding and Facilitating Human-AI Teaming for Real-World Computer Vision Tasks PhD Theses 2024 (1); by Chengyuan Xu
2024	Factors Affecting Appropriate Reliance on Artificial Intelligence Decision Support Systems PhD Theses 2024 (1); by Richard E. Dunning
2024	Is AI a General Purpose Technology? PhD Theses 2024 (1); by Mark Desantis
2024	Advances in Prior-Driven Machine Learning Techniques for Health Applications with Limited Data PhD Theses 2024 (1); by Mahya Saffarpour
2024	Deep Learning with Estimation and Complexity Guarantees for Signal Processing PhD Theses 2024 (1); by Kuan-Lin Chen
2024	Stochastic Methods for Machine Learning and their Applications PhD Theses 2024 (1); by Azar Alizadeh
2024	Neurosymbolic Learning and Reasoning for Trustworthy AI PhD Theses 2024 (1); by Zhe Zeng
2024	Model Acceleration for Efficient Deep Learning Computing PhD Theses 2024 (1); by Han Cai
2024	Unlocking Insights in the Life Sciences Domain through Knowledge Graph Construction and Hypothesis Generation Using Machine Learning PhD Theses 2024 (1); by Jason Youn
2024	Machine Learning Assisted Design of mmWave Wireless Transceiver Circuits PhD Theses 2024 (1); by Xuzhe Zhao
2024	Acceleration of Deep Learning Algorithms with Transformers PhD Theses 2024 (1); by Tiandong Zhao
2024	Understanding and Improving Representational Robustness of Machine Learning Models PhD Theses 2024 (1); by Ching Yun Ko
2024	Customized Computing and Machine Learning PhD Theses 2024 (1); by Atefeh Sohrabizadeh
2024	Harmonizing Audio and Human Interaction: Enhancement, Analysis, and Application of Audio Signals via Machine Learning Approaches PhD Theses 2024 (1); by Ruilin Xu
2024	Privacy-Aware Synthetic Data Generation and Knowledge Transfer for Machine Learning PhD Theses 2024 (1); by Dongjie Chen
2024	Contextually Adapting Informational Resources Using AI to Support Iterative Creativity PhD Theses 2024 (1); by Xiaotong Tone Xu
2024	Interpretable Machine Learning Architectures for Efficient Signal Detection with Applications to Gravitational Wave Astronomy PhD Theses 2024 (1); by Jingkai Yan
2024	From Notes to Musical Form: A Machine Learning Approach PhD Theses 2024 (1); by Lilac Atassi
2024	High-Performance Deep Learning Systems via DL Sparsity and DL Compiler PhD Theses 2024 (1); by Guyue Huang
2024	Accelerating Innovation through AI-Powered Conceptual Abstraction and Interaction Design PhD Theses 2024 (1); by Hyeonsu B. Kang
2024	Scalable and Efficient Systems for Large Deep Learning Models PhD Theses 2024 (1); by Lianmin Zheng
2024	Reliable and Practical Machine Learning for Dynamic Healthcare Settings PhD Theses 2024 (1); by Helen Zhou
2024	Towards Responsible Machine Learning: Enhancing Robustness Against Adversaries and Corruptions and Promoting Fairness in Decision-Making PhD Theses 2024 (1); by Bhagyashree Puranik
2024	Machine Learning for Out of Distribution Database Workloads PhD Theses 2024 (1); by Parimarjan Negi
2024	Deep Learning in Medical Applications PhD Theses 2024 (1); by Xinlu Zhang
2024	Building a Simulation Platform for Embodied AI PhD Theses 2024 (1); by Fanbo Xiang
2024	Foundations of Multisensory Artificial Intelligence PhD Theses 2024 (1); by Paul Pu Liang
2024	Incorporating human plausibility in single- and multi-agent AI systems PhD Theses 2024 (1); by Samuel A. Barnett
2024	StoryAI: designing, developing, and evaluating Generative AI-powered story-authoring platform for young learners PhD Theses 2024 (1); by Ariel Han
2024	Towards Sustainable Non-Volatile Memory: Machine Learning and Memory-Aware Data Structures for Energy Efficiency and Longevity PhD Theses 2024 (1); by Saeed Kargar
2024	Graph Deep Learning for Pathology Imaging and Heterogeneous Medical Data PhD Theses 2024 (1); by Zichen Wang
2024	Towards Secure Machine Learning Acceleration: Threats and Defenses Across Algorithms, Architecture, and Circuits PhD Theses 2024 (1); by Kyungmi Lee
2024	Re-examining Metrics for Success in Machine Learning, from Fairness and Interpretability to Protein Design PhD Theses 2024 (1); by Frances Ding
2024	Source Free Domain Adaptive Machine Learning and Unlearning PhD Theses 2024 (1); by Sk Miraj Ahmed
2024	Data-Efficient Machine Learning for Computational Imaging PhD Theses 2024 (1); by Zhen Guo
2024	Designing Machine Learning-Enhanced Tools and Physics-based Techniques for Force Field and Electrostatic Models PhD Theses 2024 (1); by Xingyi Guan
2024	Unlocking AI outside the training distribution: Generalization, Causality, and Coronary Risk Modeling PhD Theses 2024 (1); by Aahlad Manas Puli
2024	Formal Verification of AI-Controlled Cyber-Physical Systems Using Polynomial Approximations: Constraints Solver, Model Checkers, and Applications PhD Theses 2024 (1); by Wael Fatnassi
2024	Probabilistic Approaches for Deep Learning: Representation Learning and Uncertainty Estimation PhD Theses 2024 (1); by Yookoon Park
2024	Towards Efficient Deep Learning for Human-Centric Visual Understanding and Generation PhD Theses 2024 (1); by Haoyu Ma
2024	BCIs for Everyone, Everyday: Generalized Machine Learning Models for Decoding of Human Brain Data PhD Theses 2024 (1); by Zoe Steine-Hanson
2024	Human-AI Collaboration to Support Mental Health and Well-Being PhD Theses 2024 (1); by Ashish Sharma
2024	Multiscale Modeling and Deep Learning for Complex Microbial Colonies PhD Theses 2024 (1); by Jordan Collignon
2024	Realizing Practical LLM-assisted AI Assistant in the Semiconductor Domain PhD Theses 2024 (1); by Yueling Zeng
2024	Advancing AI Understanding in Language & Vision PhD Theses 2024 (1); by Aditya Sharma
2024	Lightly Supervised Machine Learning for Wireless Signals PhD Theses 2024 (1); by Joshua Sanz
2024	Orchestration Systems to Support Deep Learning at Scale PhD Theses 2024 (1); by Kabir Nagrecha
2024	Towards Efficient and Secure Intelligent Transportation Services: AI-driven Traffic Light Controller and Privacy-Preserving Mobility Data Generation PhD Theses 2024 (1); by Ammar Haydari
2024	Solving Real-World Tasks with AI Agents PhD Theses 2024 (1); by Shuyan Zhou
2024	Decoding Cancer Alterations through Machine Learning and Interactive Data Visualization PhD Theses 2024 (1); by Antonio Dominic Muscarella
2024	The role of model implementation in neuroscientific applications of machine learning PhD Theses 2024 (1); by Taiga Abe
2024	Set Priority: Solving an Artificial Intelligence Cybersecurity Challenge with a Simple Manual Agent PhD Theses 2024 (1); by Joaquin Lazaro Ortiz
2024	Deep Learning for Sequence-Based Gene Expression Prediction PhD Theses 2024 (1); by Ksenia Sokolova
2024	Topics on Machine Learning under Imperfect Supervision PhD Theses 2024 (1); by Gan Yuan
2024	Advancing In-hand Dexterous Manipulation via Machine Learning PhD Theses 2024 (1); by Tao Chen
2024	Discovering the Right Things to Design with Artificial Intelligence PhD Theses 2024 (1); by Nur Yildirim
2024	Integrating multiscale simulations, path-splitting methods and deep learning for enhanced kinetic and thermodynamic predictions and efficiency in biomolecular dynamics PhD Theses 2024 (1); by Anupam Anand Ojha
2024	Efficient Deep Learning Computing: From TinyML to LargeLM PhD Theses 2024 (1); by Ji Lin
2024	One Step towards Autonomous AI Agent: Reasoning, Alignment and Planning PhD Theses 2024 (1); by Xiusi Chen
2024	Deep Learning on Graphs: Tackling Scalability, Privacy, and Multimodality PhD Theses 2024 (1); by Minji Yoon
2024	Video Segmentation for Cardiac Analysis in Embryonic Zebrafish Using Deep Learning PhD Theses 2024 (1); by Amir Naderi
2024	Machine learning methods for biological hypothesis generation, facilitating new discoveries at lower costs PhD Theses 2024 (1); by Adelaide Woicik
2024	Machine Learning Assisted Analysis of Solar Module Degradation PhD Theses 2024 (1); by Xin Chen
2024	Classification of Stem Cell Microscopy Images Using Deep Learning PhD Theses 2024 (1); by Adam Witmer
2024	SiaHet: Towards Exploiting Intra-Job Resource Heterogeneity in Heterogeneity-aware, Goodput Optimized Deep Learning Cluster Scheduling PhD Theses 2024 (1); by Nishant Shankar
2024	The Construction of Robust Potential Energy Surfaces from First Principles and Machine Learning PhD Theses 2024 (1); by Sasaank Bandi
2024	DREEM: A Deep Learning System for Tracking Biological Agents at Any Spatiotemporal Scale PhD Theses 2024 (1); by Aaditya Prasad
2024	Data Systems for Explainable AI and Incorporating AI Infrastructure into Data Systems PhD Theses 2024 (1); by Dong He
2024	Stochastic Optimization for Machine Learning: Investigations on Bilevel Optimization and Large Learning Rates PhD Theses 2024 (1); by Xuxing Chen
2024	Enhancing Logistics Automation with AI : Application of Dual-arm Humanoid Torso for Al-powered Depalletizingand Package Handling. (Cοntributiοn à la manipulatiοn de cοlis sοus cοntraintes par un tοrse humanοïde : applicatiοn à la dépaléttisatiοn autοnοme dans les entrepôts lοgistiques) PhD Theses 2024 (1); by Santheep Yesudasu
2024	Segmentation by deep learning with geometric constraints and active contours. (Segmentation par apprentissage rofond avec contraintes géométriques et contours actifs) PhD Theses 2024 (1); by Nicolas Makaroff
2024	Identification and Simulation of Physical Systems with Structured Deep Learning and Inductive Knowledge. (Identification et simulation des systèmes physiques par apprentissage profond structuré et connaissances inductives) PhD Theses 2024 (1); by Steeven Janny
2024	Deep learning based anomaly and drift detection : application to predictive maintenance in embedded systems. (Méthodes d'apprentissage profond pour la détection d'anomalies et de changement de régimes : application à la maintenance prédictive dans des systèmes embarqués) PhD Theses 2024 (1); by Mansour Zoubeirou A. Mayaki
2024	A Gaze into the Art World: Predicting Visual Attention Using Deep Learning. (Un regard sur le monde de l'art: Prédire l'attention visuelle à l'aide de l'apprentissage profond) PhD Theses 2024 (1); by Mohamed Amine Kerkouri
2024	Unsupervised deep learning for the analysis of remote sensing chronological series : Application to GPM. (Apprentissage profond non-supervisé pour l'analyse de séries chronologiques d'observations spatiales : Application aux données GPM) PhD Theses 2024 (1); by Vibolroth Sambath
2024	End-to-End Deep Learning Image Compression. (Compression d'images par apprentissage profond de bout en bout) PhD Theses 2024 (1); by Bouzid Arezki
2024	Social Emotion Recognition with multimodal deep learning architecture in emergency call centers. (Détection des émotions sociales grâce à une architecture d'apprentissage profond multimodale dans les centres d'appel d'urgence) PhD Theses 2024 (1); by Théo Deschamps-Berger
2024	Characterizing and Optimizing Distributed Machine Learning Systems : Towards a Multi-Objective Approach. (Caractérisation et Optimisation des Systèmes d'Apprentissage Machine Distribué : Vers une Approche Multi-Objectif) PhD Theses 2024 (1); by Yasmine Djebrouni
2024	Enabling autonomous IoT systems: A middleware-based hybrid AI approach to self-adaptation. (Autonomie dans les systèmes internet des objets: Une approche d'IA hybride à base d'intergiciel pour l'auto-adaptation) PhD Theses 2024 (1); by Houssam Hajj Hassan
2024	Characterization of radioactivity signals by embedded machine learning. (Caractérisation en flux de signaux radiologiques par apprentissage automatique embarqué) PhD Theses 2024 (1); by Ali Hachem
2024	Refining machine learning evaluation : statistical insights into model performance and fairness. (Affinage de l'évaluation en apprentissage automatique : perspectives statistiques sur la performance des modèles et leur équité) PhD Theses 2024 (1); by Michaël Soumm
2024	Deep learning for MR to CT translation in thoracic imaging. (Apprentissage profond pour la conversion d'IRM vers TDM en imagerie thoracique) PhD Theses 2024 (1); by Arthur Longuefosse
2024	Apprentissage auto-supervisé pour la détection d'anomalies en temps quasi réel dans la surveillance maritime en haute mer. (Self-supervised machine learning for near real-time anomaly detection in maritime surveillance of the open sea) PhD Theses 2024 (1); by Pierre Bernabé
2024	Advanced Clustering and AI-Driven Decision Support Systems for Smart Energy Management. (Systèmes avancés de clustering et d'aide à la décision pilotés par l'IA pour la gestion intelligente de l'énergie) PhD Theses 2024 (1); by Loup-Noé Lévy
2024	High dimensional multiple means estimation and testing with applications to machine learning. (Test et estimation multiple de moyennes en grande dimension avec applications à l'apprentissage automatique) PhD Theses 2024 (1); by Jean-Baptiste Fermanian
2024	AI-driven Zero-Touch solutions for resource management in cloud-native 5G networks. (Solutions Zero-Touch basées sur l'IA pour la gestion des ressources dans les réseaux 5G natifs du cloud) PhD Theses 2024 (1); by Menuka Perera Jayasuriya Kuranage
2024	Reasoning over Data: Analogy-based and Transfer Learning to improve Machine Learning. (Raisonnement sur les données: Apprentissage par analogie et transfert pour améliorer l'apprentissage automatique) PhD Theses 2024 (1); by Esteban Marquer
2024	From simulations to real data, on the relevance of deep learning models and domain adaptation: Application to astrophysics with CTAO and LST-1. (Des simulations aux données réelles, sur la pertinence des modèles d'apprentissage profond et de l'adaptation de domaine : Application à l'astrophysique avec CTAO et LST-1) PhD Theses 2024 (1); by Michaël Dell'aiera
2024	Estimation des paramètres de multitrajets pour des signaux GNSS par apprentissage profond et application en environnement de simulation 3D. (GNSS multipath parameters estimation using deep learning and application to 3D synthetic environment) PhD Theses 2024 (1); by Thomas Gonzalez
2024	Advanced road traffic monitoring with distributed acoustic sensing and deep learning. (Surveillance avancée du trafic routier par détection acoustique distribuée et apprentissage profond) PhD Theses 2024 (1); by Yacine Khacef
2024	Reliability of Deep Learning with Rare Event Simulation :Theory and Practice. (Fiabilité du Deep Learning avec simulation d'événements rares :théorie et pratique) PhD Theses 2024 (1); by Karim Tit
2024	Apprentissage automatique pour la prédiction de performances: du sport à la santé. (Machine learning for performances prediction: from sport to health) PhD Theses 2024 (1); by Rayane Elimam
2024	Extraction, segmentation et reconnaissance hors ligne de manuscrits arabes par apprentissage profond. (Offline Extraction, Segmentation, and Recognition of Arabic Manuscripts Using Deep Learning) PhD Theses 2024 (1); by Takwa Ben Aïcha Gader
2024	Quantum-classical machine learning for brain tumor imaging analysis. (Apprentissage automatique quantique et classique pour l'analyse d'images des tumeurs cérébrales) PhD Theses 2024 (1); by Tony Felefly
2024	Parallelizable training in deep learning through local and distributed approaches. (Entraînement parallélisable en apprentissage profond par le biais d'approches locales et distribuées) PhD Theses 2024 (1); by Louis Fournier
2024	Online Deep Learning for Numerical Simulations at Scale. (Deep Learning en Ligne pour la Simulation Numérique à Grande Échelle) PhD Theses 2024 (1); by Lucas Meyer
2024	IA et éthique pour l'amélioration du service public. (AI and ethics for improving public service) PhD Theses 2024 (1); by Lalla Aicha Kone
2024	Etude sur les mesures d'évaluation de la cohérence entre connaissance et compréhension dans le domaine de l'intelligence artificielle. (Consistency distance between knowledge and understanding in artificial intelligence) PhD Theses 2024 (1); by Sarah Ghidalia
2024	Développement d'interaction homme-IA pour l'explication des décisions des algorithmes : application au domaine financier. (Development of human-AI interactions for explaining algorithmic decisions, application to the financial domain) PhD Theses 2024 (1); by Corentin Boidot
2024	Machine learning and domain adaptation for enhancing the measure of brain health with MEG and EEG signals. (Apprentissage statistique et adaptation de domaine pour l'amélioration de la mesure de la santé cérébrale à partir de signaux MEG et EEG) PhD Theses 2024 (1); by Apolline Mellot
2024	Artificial intelligence and fusion plasma control : application to the WEST tokamak. (Intelligence artificielle et contrôle des plasmas de fusion : application au tokamak WEST) PhD Theses 2024 (1); by Samy Kerboua-Benlarbi
2024	AI-Driven Adaptive Radiation Treatment Delivery for Head & Neck Cancers. (Radiothérapie adaptative guidée par l'intelligence artificielle pour les cancers ORL) PhD Theses 2024 (1); by Alexandre Cafaro
2024	Document Understanding with Deep Learning Techniques. (Analyse intelligente de documents avec des approches neuronales) PhD Theses 2024 (1); by Laura Nguyen
2024	Machine learning algorithms in the health sector : integration of functional knowledge toenhance the analysis of gut microbiota data. (Algorithmes d'apprentissage automatique en santé : intégration de connaissances a priori via le microbiote et les bases de connaissances associées) PhD Theses 2024 (1); by Baptiste Ruiz
2024	Détection et classification multi-label de maladies pulmonaires par apprentissage automatique à partir d'images de radiographie thoracique. (Detection and multi-label classification of lung diseases from chest x-ray images using machine learning) PhD Theses 2024 (1); by Aya Hage Chehade
2024	Apprentissage automatique pour la modélisation de musique symbolique. (Deep Learning for Symbolic Music Modeling) PhD Theses 2024 (1); by Nathan Fradet
2024	Robust hybrid fault detection and isolation by integrating bond graph and artificial intelligence : application to green hydrogen production. (Détection et isolation hybrides robustes des défauts par l'intégration du Bond Graph et de l'intelligence artificielle : application à la production d'hydrogène vert) PhD Theses 2024 (1); by Balyogi Mohan Dash
2024	Algorithmes d'intelligence artificielle pour l'optimisation de la trajectoire des drones et la redirection de trafic dans le réseau de bordure. (Artificial intelligence algorithms for optimization of UAV path planning and trafic routing in edge networks) PhD Theses 2024 (1); by Simon Pichot
2024	Apports de l'Apprentissage Profond pour la simulation d'images SAR. (Contributions of Deep Learning to SAR image simulation) PhD Theses 2024 (1); by Nathan Letheule
2024	Détection et segmentation d'anomalies en imagerie médicale ultrasonore 3D et en imagerie industrielle par apprentissage automatique. (Automatic Anomaly Detection and Segmentation in 3D Medical Ultrasound Imaging and Industrial Imaging using Deep Learning) PhD Theses 2024 (1); by Flora Estermann
2024	Privacy-preserving machine learning for large-scale collaborative healthcare data analysis. (Apprentissage automatique sécurisé pour l'analyse collaborative des données de santé à grande échelle) PhD Theses 2024 (1); by Riccardo Taiello
2024	Measuring and Mitigating Allocation Unfairness Across the Machine Learning Pipeline. (Mesurer et atténuer l'injustice d'allocation dans le processus d'apprentissage automatique) PhD Theses 2024 (1); by Gaurav Maheshwari
2024	Multimodal machine learning methods for pattern analysis in smart cities and transportation. (Méthodes d'apprentissage automatique multimodales pour l'analyse de modèles dans les villes intelligentes et les transports) PhD Theses 2024 (1); by Ifigenia Drosouli
2024	Acceptabilité de l'Intelligence Artificielle en contexte professionnel : facteurs d'influence et méthodologies d'évaluation. (Acceptability of Artificial Intelligence in a Professional Context : influencing factors and evaluation methodologies) PhD Theses 2024 (1); by Alexandre Agossah
2024	Modèles analytiques spectraux et apprentissage automatique pour la prévision des fluctuations de pression en régime transsonique pour les lanceurs spatiaux. (Prediction of wall-pressure fluctuations for transonic space launcher configurations using analyticalspectral models and machine learning) PhD Theses 2024 (1); by Simon Lecler
2024	Artificial Intelligence Methods to Assist the Diagnosis of Pancreatic Diseases in Radiology. (Méthodes d'Intelligence Artificielle pour l'Aide au Diagnostic des Maladies du Pancréas en Radiologie) PhD Theses 2024 (1); by Rebeca Vétil
2024	AI-Driven Reactive Control Strategy for Industrial Humanoid Robots. (Stratégie de contrôle réactif basée sur l'IA pour des robots humanoïdes industriels) PhD Theses 2024 (1); by Côme Perrot
2024	Inherent trade-offs in privacy-preserving machine learning. (Compromis inhérents à l'apprentissage automatique préservant la confidentialité) PhD Theses 2024 (1); by Caelin Kaplan
2024	Network Traffic Generation for Evaluation of Intrusion Detection Tools: Machine learning based generation of synthetic network flows. (Génération par apprentissage automatique de trafic réseau pour l'évaluation des outils de détection d'intrusion) PhD Theses 2024 (1); by Adrien Schoen
2024	Physics Informed Deep Learning: Applications to well opening and closing events. (Physics Informed Deep Learning: Applications aux évenements d'ouverture et de fermeture de puits) PhD Theses 2024 (1); by Antoine Lechevallier
2024	Validation de composants d'intelligence artificielle issus d'apprentissages sur la base de détection d'aberration et de tests métamorphiques. (Validation of artificial intelligence components based on outlier detection and metamorphic testing) PhD Theses 2024 (1); by Jessy Colonval
2024	Enhancing AI interpretability with causal insights : preventing misinterpretations through better explanations. (Améliorer l'interprétabilité de l'IA grâce aux réflexions causales : prévenir les erreurs d'interprétation grâce à de meilleures explications) PhD Theses 2024 (1); by Mahdi Hadj Ali
2024	Deep learning for physical systems: estimation, adaptation and exploration. (Apprentissage profond pour les systèmes physiques : estimation, adaptation et exploration) PhD Theses 2024 (1); by Matthieu Blanke
2024	Data frugality and computational efficiency in deep learning. (Frugalité en données et efficacité computationnelle dans l'apprentissage profond) PhD Theses 2024 (1); by Léon Zheng
2024	Recherche de motifs spatio-temporels fréquents dans un grand graphe via des méthodes d'apprentissage profond. (Frequent spatiotemporal motif mining in a large graph using deep learning method) PhD Theses 2024 (1); by Assaad Oussama Zeghina
2024	Apprentissage automatique pour la caractérisation et l'analyse de la dynamique de la cryosphère par imagerie satellitaire radar. (Machine learning for the characterization and analysis of cryosphere dynamics using satellite radar imagery) PhD Theses 2024 (1); by Matthieu Gallet
2024	Machine learning for fetal ultrasound image analysis using privileged information. (Machine learning pour l'analyse d'échographies fœtales avec l'utilisation d'information privilégiée) PhD Theses 2024 (1); by Jules Bonnard
2024	Segmentation des vaisseaux sanguins par approche variationnelle et apprentissage profond. (Blood vessels segmentation using variational approach and deep learning) PhD Theses 2024 (1); by Sophie Carneiro Esteves
2024	Développement de méthodes d'apprentissage profond pour la reconstruction de données spatio-temporelles hautement comprimées : application aux signaux des réseaux de capteurs sans fil et aux simulations céramiques de structures colloïdales. (Deep learning methods development for highly compressed spatio-temporal data reconstruction : application on wireless sensor networks signals and colloids ceramic simulations) PhD Theses 2024 (1); by Sébastien Rousseau
2024	Investigating Deep Learning and Image-Encoded Time Series Approaches for Multi-Scale Remote Sensing Analysis in the context of Land Use/Land Cover Mapping. (Exploration des approches d'apprentissage profond et des séries temporelles encodées en images pour l'analyse de la cartographie d'occupation du sol) PhD Theses 2024 (1); by Azza Abidi
2024	Apprentissage de représentation différenciées dans des modèles d'apprentissage profond : détection de classes inconnues et interprétabilité. (Differentiated representation learning in deep learning models : detection of unknown classes and interpretability) PhD Theses 2024 (1); by Quentin Christoffel
2024	Automatic recognition and generation of French Cued Speech using deep learning. (Reconnaissance et génération automatique de Langue française Parlée Complétée utilisant l'apprentissage profond) PhD Theses 2024 (1); by Sanjana Sankar
2024	Réalité augmentée et intelligence artificielle pour une chirurgie hépatique guidée par échographie intravascularie. (AI-enabled IVUS-guided augmented reality for liver surgery) PhD Theses 2024 (1); by Sidaty El Hadramy
2024	Modeling topic evolution for scientific archives with deep learning. (Modélisation de l'évolution de sujets pour les archives scientifiques par l'apprentissage profond) PhD Theses 2024 (1); by Hamed Rahimi
2024	Deep learning for automatic quality control and computer-aided diagnosis in neuroimaging using a large-scale clinical data warehouse. (Apprentissage profond pour le contrôle qualité automatique et l'aide au diagnostic en neuroimagerie au sein d'un large entrepôt de données de santé) PhD Theses 2024 (1); by Sophie Loizillon
2024	Deep learning for sea surface height reconstruction from multi-variate satellite observations. (Apprentissage profond pour reconstruire la hauteur de la surface océanique à partir d'observations satellites multivariées) PhD Theses 2024 (1); by Théo Archambault
2024	Analyse et développement de nouveaux optimiseurs en Machine Learning. (Analysis and development of new optimizers in Machine Learning) PhD Theses 2024 (1); by Bilel Bensaid
2024	Co-Creativity and AI Ethics. (Co-Creativity and AI Ethics) PhD Theses 2024 (1); by Vignesh Gokul
2024	Détection des anévrismes intracrâniens par apprentissage profond. (Intracranial aneurysm detection using deep learning) PhD Theses 2024 (1); by Youssef Assis
2024	Enhancement of Process Mining with machine learning for identification of patterns in human behaviour. (Amélioration du Process Mining avec l'apprentissage automatique pour l'identification de modèles de comportement humain) PhD Theses 2024 (1); by Georgia Theodoropoulou
2024	Foundations of machine learning interpretability. (Fondements de l'interprétabilité de l'apprentissage automatique) PhD Theses 2024 (1); by Adrien Roberty, Catherine Berrut, Gianluigi Lopardo
2024	3D motion reconstruction with deep learning methods: application to motor disabilities. (Reconstruction de mouvements en 3D à l'aide de méthodes d'apprentissage profond: application aux handicaps moteurs) PhD Theses 2024 (1); by Mansour Tchenegnon
2024	Deep learning with Lipschitz constraints. (Apprentissage profond avec contraintes Lipschitz) PhD Theses 2024 (1); by Louis Béthune
2024	Une nouvelle fonction d'agrégation intervalliste et son utilisation en tant que modèle d'apprentissage automatique pour la régression. (A new interval-valued aggregation function and its use as a machine learning model for regression) PhD Theses 2024 (1); by Yassine Hmidy
2024	Real-time simulation of nonlinear audio effects using artificial intelligence. (Simulation en temps réel d'effets audio non-linéaires par intelligence artificielle) PhD Theses 2024 (1); by Tara Vanhatalo
2024	Modeling automated legal and ethical compliance for trustworthy AI. (Modélisation de la conformité juridique et éthique automatisée pour une IA digne de confiance) PhD Theses 2024 (1); by Yousef Taheri
2024	Integration of contextual knowledge in deep Learning modeling for vision-based scene analysis. (Intégration de connaissances contextuelles dans des modèles à base d'apprentissage profond pour l'analyse de données visuelles) PhD Theses 2024 (1); by Fatima Ezzahra Benkirane
2024	Measurement of the CP properties of the Higgs-top coupling in the multilepton final state with machine learning in the ATLAS experiment. (Mesure des propriétés CP du couplage Higgs-top dans le canal multilepton avec intelligence artificielle au sein de l'expérience ATLAS) PhD Theses 2024 (1); by Alberto Carnelli
2024	Risk-sensitive machine learning for emergency medical resource optimization and other applications. (Apprentissage automatique sensible au risque pour l'optimisation des ressources médicales d'urgence et autre applications) PhD Theses 2024 (1); by Félicien Hêche
2024	Small target detection using deep learning. (Détection de cibles de petite taille par deep learning) PhD Theses 2024 (1); by Alina Ciocarlan
2024	Artificial Intelligence for Ecosystem Monitoring using Remote Sensing and Digital Agriculture Data. (Intelligence artificielle appliquée aux séries temporelles d'images satellites pour la surveillance des écosystèmes) PhD Theses 2024 (1); by Valentine Bellet
2024	Real-time Indoor Localization with Embedded Computer Vision and Deep Learning. (Localisation temps réel en intérieur par vision embarquée et apprentissage profond) PhD Theses 2024 (1); by Andrea Daou
2024	Machine learning for road active safety in vehicular networks. (Apprentissage pour la sécurité dans les réseaux véhiculaires) PhD Theses 2024 (1); by Jialin Hao
2024	Des humains derrière l'intelligence artificielle. La sous-traitance du travail de la donnée entre la France et Madagascar. (Humans behind artificial intelligence. Outsourcing data processing between France and the Global South) PhD Theses 2024 (1); by Clément Le Ludec
2024	AI based fatigue assessment system for athletes using smart textile wearables. (Système d'évaluation de la fatigue basé sur l'IA pour les athlètes utilisant des vêtements intelligents) PhD Theses 2024 (1); by Deyao Shen
2024	Deep learning for predictive simulation of gait and post-treatment functional benefit in neurological diseases. (Apprentissage profond pour la simulation prédictive de la marche et les bénéfices fonctionnels post-traitement dans les maladies neurologiques) PhD Theses 2024 (1); by Adil Khan
2024	Description automatique des événements sonores par des méthodes d'apprentissage profond. (Automated audio captioning with deep learning methods) PhD Theses 2024 (1); by Etienne Labbé
2024	Dynamic Decision Trees and Community-based Graph Embeddings : towards Interpretable Machine Learning. (Arbres de décisions dynamiques et embedding de graphes basés sur les communautés : contributions à l'apprentissage automatique interprétable) PhD Theses 2024 (1); by Gabriel Damay
2024	Multiparameter topological persistence for machine learning. (Persistance topologique multiparamétrée pour l'apprentissage statistique) PhD Theses 2024 (1); by David Loiseaux
2024	Deep learning for image restoration for digital photography. (Apprentissage profond pour la restauration d'images pour la photographie numérique) PhD Theses 2024 (1); by Charles Laroche
2024	Misplaced trust in AI : the explanation paradox and the human-centric path. A characterisation of the cognitive challenges to appropriately trust algorithmic decisions and applications in the financial sector. (Confiance déplacée dans l'IA : le paradoxe de l'explication et l'approche centrée sur l'homme. Une caractérisation des défis cognitifs pour faire confiance de manière appropriée aux décisions algorithmiques et applications dans le secteur financier) PhD Theses 2024 (1); by Astrid Bertrand
2024	Utilisation de l'IA pour l'analyse d'un robot parallèle à câbles destiné à l'assistance aux personnes fragiles. (Use of AI for the analysis of a cable-driven parallel robot designed to assist vulnerable individuals) PhD Theses 2024 (1); by Romain Tissot
2024	Graphes de connaissances et intelligence artificielle explicable : application au repositionnement de médicaments. (Knowledge graphs and explainable artificial intelligence : application to drug repositioning) PhD Theses 2024 (1); by Martin Drancé
2024	Advancing Ethical and Responsible AI: Exploring Fairness, Privacy, and Explainability through Causal Perspectives. (Promouvoir l'IA éthique et responsable : explorer l'équité, la confidentialité et l'explicabilité à travers des perspectives causales) PhD Theses 2024 (1); by Karima Makhlouf
2024	Deep learning for the rating of atypical anatomical patterns on MRI data. (Apprentissage profond pour l'évaluation des modèles anatomiques atypiques sur des données d'IRM) PhD Theses 2024 (1); by Lisa Hemforth
2024	Distributed Optimization and Machine Learning for Virtualized 6G Wireless Networks. (Optimisation distribuée et apprentissage automatique pour les réseaux sans fil virtualisés 6G) PhD Theses 2024 (1); by Ali Ehsanian
2024	Estimation de poses humaines par apprentissage profond : application aux passagers des véhicules autonomes. (Human pose estimation using deep learning: application to passengers in autonomous vehicles) PhD Theses 2024 (1); by Romain Guesdon
2024	Deep Learning for Reduced Order Modeling. (Apprentissage machine pour la réduction de modèles) PhD Theses 2024 (1); by Emmanuel Menier
2024	Routing and Indoor Localization in IoT Networks: Intelligent Approaches Based on Metaheuristics and Deep Learning. (Routage et localisation en intérieur dans les réseaux IoT : approches intelligentes basées sur les métaheuristiques et l'apprentissage profond) PhD Theses 2024 (1); by Sihem Tlili
2024	Analyse d'images expérimentales par apprentissage profond pour la caractérisation de la combustion de l'aluminium en propulsion solide. (Experimental images analysis by deep learning for the characterization of aluminum combustion in solid propulsion) PhD Theses 2024 (1); by Magdeleine Airiau
2024	Recherche par image robuste par apprentissage profond. (Robust image retrieval with deep learning) PhD Theses 2024 (1); by Elias Ramzi
2024	Intelligence artificielle pour des services moraux : Concilier équité et confidentialité. (Artificial intelligence for moral services : Reconciling fairness and confidentiality) PhD Theses 2024 (1); by Jan Aalmoes
2024	Contributions to the in-situ biomechanical and physical ergonomic analysis of workstations using machine learning and deep learning techniques. (Contributions à l'analyse biomécanique et physique ergonomique in situ des postes de travail à l'aide de techniques d'apprentissage automatique et d'apprentissage profond) PhD Theses 2024 (1); by Hasnaa Ouadoudi Belabzioui
2024	Artificial intelligence-based cloud network control. (Contrôle du réseau cloud basé intelligence artificielle) PhD Theses 2024 (1); by Redha A. Alliche
2024	Enhancing Webshell Detection with Deep Learning-Powered Methods. (Renforcer la détection des webshells grâce à des méthodes basées sur l'apprentissage profond) PhD Theses 2024 (1); by Ha Viet Le
2024	Facilitating human inclusion in the data science process : from capturing business requirements to designing an operational machine learning workflow. (Faciliter l'inclusion humaine dans le processus de science des données : de la capture des exigences métier à la conception d'un workflow d'apprentissage automatique opérationnel) PhD Theses 2024 (1); by Yassine El Amraoui
2024	Machine Learning-Based Multivariate Time Series Analysis For Health Monitoring And Prognostics Of Complex Systems. (Analyse de séries temporelles multivariées basée sur l'apprentissage automatique pour la surveillance et le pronostic de systèmes complexes) PhD Theses 2024 (1); by Etienne Jules
2024	Contributions to machine learning robustness with applications to traffic prediction. (Contributions à la robustesse de l'apprentissage machine avec applications à la prédiction de trafic) PhD Theses 2024 (1); by Loïc Shi-Garrier
2024	Contributions to Econometric and Deep Learning Methods for Time Series Forecasting. (Contributions aux méthodes économétriques et d'apprentissage profond pour la prévision de séries temporelles) PhD Theses 2024 (1); by Hugo Inzirillo
2024	New Baseband Architectures Using Machine Learning and Deep Learning in the Presence of Nonlinearities and Dynamic Environment. (Nouvelles architectures en bande de base en utilisant l'apprentissage automatique et apprentissage profond en présence de non-linéarités et d'environnement dynamique) PhD Theses 2024 (1); by Ana Flávia dos Reis
2024	Caractérisation de l'inclusivité des systèmes de vision par ordinateur basés sur l'apprentissage profond pour les pays du Sud. (Characterising inclusivity of deep learning-based computer vision systems for developing countries) PhD Theses 2024 (1); by Théophile Bayet
2024	Privacy-preserving AI using declarative constraints. (IA préservant la vie privée à l'aide de contraintes déclaratives) PhD Theses 2024 (1); by Moitree Basu
2024	Resilience-as-a-Service for 5G RAN driven by Machine Learning methods. (La résilience en tant que service à la demande des réseaux 5G dirigée par le Machine Learning) PhD Theses 2024 (1); by Soumeya Kaada
2024	Statistical Physics - Machine Learning Interplay : from Addressing Class Imbalance with Replica Theory to Predicting Dynamical Heterogeneities with SE(3)-equivariant Graph Neural Networks. (Interactions entre Physique Statistique et Apprentissage Automatique : lde l'étude du Déséquilibre de Classe avec la Méthode des Répliques à la Prédiction des Hétérogénéités Dynamiques avec des Réseaux de Neurones sur Graphes SE(3)-équivariants) PhD Theses 2024 (1); by Francesco Saverio Pezzicoli
2024	Framework for testing the robustness of machine learning-based software components. (Cadre pour le test de la robustesse des composants logiciels à base d'apprentissage automatique) PhD Theses 2024 (1); by Anne-Laure Wozniak
2024	Improving artificial intelligence reliability through out-of-distribution and misclassification detection. (Amélioration de la fiabilité de l'intelligence artificielle par la détection des données hors distribution et des erreurs de classification) PhD Theses 2024 (1); by Eduardo Dadalto Câmara Gomes
2024	Accurate scene geometry retrieval and motion estimation using deep learning tech- niques for holographic video compression. (Estimation de la géométrie et du mouvement de la scène par apprentissage profond pour la compression de vidéos holographiques) PhD Theses 2024 (1); by Nabil Madali
2024	Analyse explicable et personnalisable de données hétérogènes multi-niveaux : une approche guidée par l'apprentissage automatique et les ontologies. (Explainable and Customizable Analysis of Multi-Level Heterogeneous Data : A Machine Learning and Ontology-Driven Approach) PhD Theses 2024 (1); by Maxime Perrot
2024	Dynamic Methane Inventory for Oil and Gas Industry based on Artificial Intelligence. (Inventaire Dynamique des Emissions de Méthane pour l'Industrie Pétrolière et Gazière basé sur l'Intelligence Artificielle) PhD Theses 2024 (1); by Jade Eva Guisiano
2024	Large-scale simulation and deep learning of diffusion MRI signatures for the development of computational models of cerebral white matter ultrastructure. (Simulation à large échelle et apprentissage profond de la signature en IRM de diffusion pour le développement de modèles computationnels de l'ultrastructure de la substance blanche cérébrale) PhD Theses 2024 (1); by Alexis Brullé
2024	Efficient Deployment of Deep Neural Networks on Hardware Devices for Edge AI. (Déploiement efficace des réseaux de neurones profonds sur les dispositifs matériels pour l'IA en Edge) PhD Theses 2024 (1); by Halima Bouzidi
2024	Artificial Intelligence for Renewable Energy Systems. (Intelligence artificielle pour les systèmes d'énergie renouvelable) PhD Theses 2024 (1); by Gabriel Narvaez Morales
2024	Machine learning for bi-modal EEG-fMRI neurofeedback: EEG electrodes localization and fMRI NF scores prediction. (Apprentissage automatique pour le neurofeedback bi-modal EEG-IRMf: localisation des électrodes EEG et prédiction des scores NF IRMf) PhD Theses 2024 (1); by Caroline Pinte
2024	Transcription de documents historiques avec des algorithmes de Deep Learning. (Text written recognition of historical documents with Deep Learning algorithms) PhD Theses 2024 (1); by Florian Côme Fizaine
2024	Application of artificial intelligence in the exploitation of deflection measurements for the mechanical characterization of pavement structures. (Application de l'intelligence artificielle à l'exploitation des mesures de déflexion pour la caractérisation mécanique des structures de chaussées) PhD Theses 2024 (1); by Abdelgader Abdelmuhsen
2024	DISSEC-ML ˸ towards distributed and secured machine learning in the personal cloud. (DISSEC-ML ˸ vers un apprentissage automatique distribué et sécurisé dans le cloud personnel) PhD Theses 2024 (1); by Julien Mirval
2024	Machine Learning techniques for Electricity Price Forecasting. (Méthodes d'apprentissage machine pour la prévision des prix de l'électricité) PhD Theses 2024 (1); by Léonard Tschora
2024	Trustable machine learning for intrusion detection systems. (Apprentissage automatique de confiance pour les systèmes de détection d'intrusion) PhD Theses 2024 (1); by Robin Duraz
2024	Advancing Ethical AI: Fairness, Diversity, and Privacy in Generative Modeling. (Avancer l'IA éthique: équité, diversité et confidentialité dans la modélisation generative) PhD Theses 2024 (1); by Mariia Zameshina
2024	Development of interpretability methods for certifying machine learning models applied to critical systems. (Développement de méthodes d'interprétabilité en apprentissage automatique pour la certification des intelligences artificielles reliées aux systèmes critiques) PhD Theses 2024 (1); by Marouane Il Idrissi
2024	Vers une Intelligence Artificielle Numérique Responsable. (Towards Responsible Digital Artificial Intelligence) PhD Theses 2024 (1); by Angela Ciocan
2024	Making AI Understandable for Humans : the Plausibility of Attention-Based Explanations in Natural Language Processing. (Rendre l'IA expliquable pour les humains : la plausibilité des explications fondées sur l'attention dans le traitement automatique des langues) PhD Theses 2024 (1); by Duc Hau Nguyen
2024	Deep Learning Methods for Music Structure Analysis : Addressing Data Scarcity and Ambiguity. (Méthodes d'Apprentissage Profond pour l'Analyse de Structures Musicales : Adresser le Manque et l'Ambiguïté des Données) PhD Theses 2024 (1); by Morgan Buisson
2024	Machine learning methods for cross-section reconstruction in full-core deterministic neutronics codes. (Méthodes de machine learning pour la reconstruction des sections efficaces dans les codes de neutronique déterministe à l'échelle coeur) PhD Theses 2024 (1); by Olivier Truffinet
2024	AI-based decision-making in a mass-customization industry 4.0 environment : Application to Total Manufacturing Quality 4.0. (Prise de décision basée sur l'IA dans un environnement de personnalisation de masse Industrie 4.0 : Application à la qualité totale de la fabrication 4.0) PhD Theses 2024 (1); by Badreddine Tanane
2024	Harnessing symmetries for modern deep learning challenges: a path-lifting perspective. (Exploiter les symétries pour relever les défis modernes de l'apprentissage profond: une perspective par le relèvement dans l'espace des chemins) PhD Theses 2024 (1); by Antoine Gonon
2024	Hybrid Artificial Intelligence Methods for Autonomous Driving Applications. (Méthodes Hybrides d'Intelligence Artificielle pour la Conduite Autonome) PhD Theses 2024 (1); by Ziming Liu
2024	Docking and Machine Learning approaches to explore new scaffolds for molecules of therapeutic interest. (Approches de docking et de Machine Learning pour l'exploration de nouveaux « scaffolds » lors de la recherche de molécules d'intérêt thérapeutique) PhD Theses 2024 (1); by Philippe Pinel
2024	Multi-modal AI methods in the context of heterogeneous oceanic observations and multisensor maritime surveillance. (Méthodes IA multimodales dans des contextes d'observation océanographique et de surveillance maritime multi-capteurs hétérogènes) PhD Theses 2024 (1); by Matteo Zambra
2024	Compression and federated learning: an approach to frugal machine learning. (Compression et apprentissage fédéré: une approche pour l'apprentissage machine frugal) PhD Theses 2024 (1); by Louis Leconte
2024	Deep Learning for Partially Observed Dynamical Systems. (Apprentissage profond pour les systèmes dynamiques partiellement observables) PhD Theses 2024 (1); by Thibault Monsel
2024	For an ethics of conversational Artificial Intelligence. (Pour une éthique de l'intelligence artificielle conversationnelle) PhD Theses 2024 (1); by Giada Pistilli
2024	Contributions to machine learning with structured data: theory and algorithms. (Contributions à l'apprentissage statistique structuré : théorie et algorithmes) PhD Theses 2024 (1); by Théophile Cantelobre
2024	Explainable Artificial Intelligence approaches for Image Captioning. (Approches d'intelligence artificielle explicables pour le sous-titrage d'images) PhD Theses 2024 (1); by Sofiane Elguendouze
2024	Apprentissage automatique et optimisation pour la détermination des propriétés acoustiques d'une salle à partir de signaux audio. (Machine learning and optimization for acoustic property determination of a room from audio signals) PhD Theses 2024 (1); by Stéphane Dilungana
2024	Deep learning and computational methods on single-cell and spatial data for precision medicine in oncology. (Méthodes d'apprentissage profond et computationnelles pour la médecine de précision sur données spatiales et à résolution cellulaire) PhD Theses 2024 (1); by Quentin Blampey
2024	Simulation-based inference with deep learning : application to neuroscience time series data. (Inférence à base de simulateurs par réseaux de neurones : application aux signaux de neurosciences) PhD Theses 2024 (1); by Julia Linhart
2024	Deep learning representations for prognostics and health management. (Apprentissage profond des représentations pour le pronostic et management de la santé) PhD Theses 2024 (1); by Alaaeddine Chaoub
2024	Developing interactive artificial intelligence tools to assist pathologists with histology annotation. (Développement d'outils interactifs d'intelligence artificielle pour l'aide à l'annotation en histopathologie) PhD Theses 2024 (1); by Antoine Habis
2024	Deep learning methods for localization, segmentation and robustness in medical imaging. (Méthodes d'apprentissage profond pour la localisation, la segmentation et la robustesse en imagerie médicale) PhD Theses 2024 (1); by Othmane Laousy
2024	Decoding the Black Box: Enhancing Interpretability and Trust in Artificial Intelligence for Biomedical Imaging - a Step Toward Responsible Artificial Intelligence. (Décoder la boîte noire: améliorer l'interprétabilité et la confiance en l'Intelligence Artificielle pour l'imagerie biomédicale - un pas vers une Intelligence Artificielle responsable) PhD Theses 2024 (1); by Mehdi Ounissi
2024	Machine learning-based particle accelerator modeling. (Utilisation de méthodes d'apprentissage pour la modélisation d'un accélérateur de particules) PhD Theses 2024 (1); by Emmanuel Goutierre
2024	Vers une approche à base d'apprentissage automatique pour l'identification de cas de cyber harcèlement sur les réseaux sociaux. (Towards a machine learning-based approach for identifying cases of cyberbullying on social networks) PhD Theses 2024 (1); by Fatemeh Sajadi Ansari
2024	Prédiction du risque des maladies endocriniennes à l'aide de la science des données et de l'intelligence artificielle explicable. (Risk prediction of endocrine diseases using data science and explainable artificial intelligence) PhD Theses 2024 (1); by Firas Ketata
2024	Algorithms and Machine Learning for fair and classical combinatorial optimization. (Algorithmes et l'apprentissage automatique pour optimisation combinatoire équitable et classique) PhD Theses 2024 (1); by Thi Quynh Trang Vo
2024	A Versatile Methodology for Assessing the Electricity Consumption and Environmental Footprint of Machine Learning Training: from Supercomputers to Edge Devices. (Une méthodologie polyvalente pour évaluer la consommation électrique et l'empreinte environnementale de l'entraînement de l'apprentissage machine : des supercalculateurs aux équipements embarqués) PhD Theses 2024 (1); by Mathilde Jay
2024	Spectral computed tomographic image reconstruction using deep learning. (Reconstruction des images médicales de tomodensitométrie spectrale par apprentissage profond) PhD Theses 2024 (1); by Zhihan Wang
2024	Next-Generation Air Pollution Forecasting: Integrating AI, Spatiotemporal Dynamics, and Privacy-Ensuring Approaches for Urban Areas. (Prévision de la Pollution de l'Air de Nouvelle Génération: Intégration de l'IA, des Dynamiques Spatiotemporelles et des Approches Garantissant la Confidentialité pour les Zones Urbaines) PhD Theses 2024 (1); by Maryam Rahmani
2024	Contributions to Roto-Translation Equivariance for Deep Learning in Image Processing. (Contributions à l'Equivariance aux Roto-Translations pour l'Apprentissage Profond en Traitement d'Images) PhD Theses 2024 (1); by Valentin Penaud-Polge
2024	Deep learning methods for the integration of multi-omics and histopathology data for precision medicine in oncology. (Méthodes d'apprentissage profond pour l'intégration de données multi-omiques et d'histopathologie pour la médecine de précision en oncologie) PhD Theses 2024 (1); by Hakim Benkirane
2024	Robust Deep Learning-based Methods for Non-Rigid Shape Correspondence. (Méthodes Robustes Basées sur l'Apprentissage Profond pour la Correspondance de Formes Non Rigides) PhD Theses 2024 (1); by Souhaib Attaiki
2024	Affect detection with explainable AI for time series PhD Theses 2024 (1); by Nazanin Fouladgar
2024	Cognition and the Machine: Exploring Human-AI Interaction via Predictive Processing PhD Theses 2024 (1); by Anders Persson
2024	Explainable Artificial Intelligence for Enhancing Transparency in Decision Support Systems PhD Theses 2024 (1); by Mir Riyanul Islam
2024	Data-Driven AI for Patient and Public Health: On the Use of Multisource and Multimodal Data in Machine Learning to Improve Healthcare PhD Theses 2024 (1); by Maria Bampa
2024	Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Student Self-Regulation PhD Theses 2024 (1); by Muhammad Afzaal
2024	Understanding Modern Machine Learning Models through the Llens of High-dimensional Statistics PhD Theses 2024 (1); by Yi Wu
2024	Machine learning approaches for structure-guided protein design PhD Theses 2024 (1); by Alexey Strokach
2024	Scalable Nested Optimization For Deep Learning PhD Theses 2024 (1); by Jonathan Lorraine
2024	Addressing Challenges for Reliable Machine Learning Model Updates PhD Theses 2024 (1); by George-Alexandru Adam
2024	Machine learning and causality: Building robust and scalable models for decision-making PhD Theses 2024 (1); by Sindhu C. M. Gowda
2024	Software defect localization using explainable deep learning PhD Theses 2024 (1); by Tom Ganz
2024	Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images PhD Theses 2024 (1); by Juliane Blarr
2024	From Competition to Complementarity: Foundations and Evidence for Effective Human-AI Collaboration PhD Theses 2024 (1); by Max Schemmer
2024	Rapidly adapting machine learning methods for brain-computer interfaces PhD Theses 2024 (1); by Jan Sosulski
2024	Machine Learning from Evolution PhD Theses 2024 (1); by Oskar Taubert
2024	On the robustness and generalization of deep learning approaches for image classification and reconstruction PhD Theses 2024 (1); by Kanchana Vaishnavi Gandikota
2024	On the impact of artificial intelligence for refined diagnostic and prognostic resolution in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement PhD Theses 2024 (1); by Elena Louisa Charlotte Rippen
2024	Deep Learning for Dynamic Representations of Real-World Entities PhD Theses 2024 (1); by Simon Werner
2024	Supervising deep learning models with autoencoder based approaches PhD Theses 2024 (1); by Joana Kühne
2024	Innovations in Deep Learning for Biotechnology PhD Theses 2024 (1); by Dominik Stallmann
2024	Aspects of Algorithmic Information Theory in Spatial Machine Learning PhD Theses 2024 (1); by Gabriel Dax
2024	Think outside the Black Box: Model-Agnostic Deep Learning with Domain Knowledge PhD Theses 2024 (1); by Konstantin Kobs
2024	Application of hybrid quantum machine learning for image processing in the NISQ era PhD Theses 2024 (1); by Alexander Geng
2024	AI-based Proactive Failure Management in Large-scale Cloud Environments PhD Theses 2024 (1); by Paolo Notaro
2024	Enhancing lower-limb movement efficiency via integration of machine learning and soft wearable robotics PhD Theses 2024 (1); by Xiaohui Zhang
2024	Machine learning-based prediction of missing parts for assembly PhD Theses 2024 (1); by Fabian Steinberg
2024	Post-Training Optimization of Cross-layer Approximate Computing for Edge Inference of Deep Learning Applications PhD Theses 2024 (1); by Cecilia De la Parra
2024	Development of Fast Machine Learning Algorithms for False Discovery Rate Control in Large-Scale High-Dimensional Data PhD Theses 2024 (1); by Jasin Machkour
2024	Machine learning solutions for high dynamic range video processing and image quality evaluation PhD Theses 2024 (1); by Ugur Çogalan
2024	Machine Learning-Enabled Dimensioning of Slicing-Based Private Mobile Communication Networks PhD Theses 2024 (1); by Caner Bektas
2024	Bridging gaps in interpretable machine learning: sensitivity analysis, marginal effects, and cluster explanations PhD Theses 2024 (1); by Christian A. Scholbeck
2024	Camera self-health-maintenance by means of sensor artificial intelligence PhD Theses 2024 (1); by Maik Wischow
2024	Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing PhD Theses 2024 (1); by Tobias Schlosser
2024	An Interaction Design for AI-enhanced Assistive Human-Robot Collaboration PhD Theses 2024 (1); by Max Pascher
2024	Artificial Intelligence in Magnetic Resonance: A Focus on Enhanced NMR Shimming and RASER MRI Artefact Correction PhD Theses 2024 (1); by Moritz Becker
2024	A vision for edge AI: robust binarized neural networks on emerging resource-constrained hardware PhD Theses 2024 (1); by Michael Yayla
2024	Incrementally enriching the common ground: cognitively motivated evaluative approaches to dialogue processing with deep learning models PhD Theses 2024 (1); by Brielen Madureira
2024	Understanding and Modelling Convection with Machine Learning PhD Theses 2024 (1); by Gunnar Behrens
2024	Machine Learning for Irregularly-Sampled Time Series PhD Theses 2024 (1); by Marin Bilos
2024	Code Optimization and Generation of Machine Learning and Driver Software for Memory-Constrained Edge Devices PhD Theses 2024 (1); by Rafael Stahl
2024	On the Algorithmic Impact of Scientific Computing on Machine Learning PhD Theses 2024 (1); by Severin Reiz
2024	Infrastructure for digital medicine and AI enhanced pathology PhD Theses 2024 (1); by Michael Huttner
2024	Knowledge and learning: synergies between ontologies and machine learning PhD Theses 2024 (1); by Martin Glauer
2024	Deep Learning-based Multi-Modal Fusion Method for Skin Lesion Classification PhD Theses 2024 (1); by Peng Tang
2024	Machine learning in combinatorial optimization - an application to machine scheduling PhD Theses 2024 (1); by Aykut Uzunoglu
2024	Performance Optimization in Deep Learning Systems PhD Theses 2024 (1); by Alexander Erben
2024	Battery management system with machine learning PhD Theses 2024 (1); by Muhammad Hamid
2024	Towards sustainable artificial intelligence systems: enhanced system design with machine learning based design techniques PhD Theses 2024 (1); by Christopher A. Metz
2024	HW-Acceleration for Edge-AI PhD Theses 2024 (1); by Sebastian Siegfried Prebeck
2024	Safety-critical automotive software configuration for classic/adaptive AUTOSAR, machine learning or time/event-triggered applications PhD Theses 2024 (1); by Milan Copic
2024	Unsupervised deep machine learning methods to discriminate icequakes in seismological data from Neumayer Station, Antarctica PhD Theses 2024 (1); by Louisa Kinzel
2024	Data-centric artificial intelligence: foundations and methods for deep learning PhD Theses 2024 (1); by Johannes Jakubik
2024	Workflow recommendations using deep learning and machine learning tools for exploratory and predictive data analysis in Galaxy PhD Theses 2024 (1); by Anup Kumar
2024	Multimodal Machine Learning for Automated Assessment of Attention-Related Processes during Learning PhD Theses 2024 (1); by Babette Bühler
2024	Security viewpoints on explainable machine learning PhD Theses 2024 (1); by Alexander Warnecke
2024	Adoption of Artificial Intelligence in Industry and Politics: An Analysis Based on Web Mining and Case Studies across Diverse Data Sources PhD Theses 2024 (1); by Philipp Dumbach
2024	Improving Deep Learning-based Object Detection Algorithms for Omnidirectional Images by Simulated Data PhD Theses 2024 (1); by Tobias Scheck
2024	Deep Learning for health data: attention, activations and beyond PhD Theses 2024 (1); by Srividya Tirunellai Rajamani
2024	Deep Learning based Design and Optimization of Electrical Machines PhD Theses 2024 (1); by Vivek Parekh
2024	Artificial Intelligence for automated decision-making in error-pattern recognition PhD Theses 2024 (1); by Felip Guimerà Cuevas
2024	On automatic machine learning for industrial condition monitoring PhD Theses 2024 (1); by Tizian Schneider
2024	Addressing the Challenge of Ambiguous Data in Deep Learning: A Strategy for Creating High-quality Image Annotations with Human Reliability and Judgement Enhancement PhD Theses 2024 (1); by Lars Schmarje
2024	From the Ivory Tower into the Wild - Analysis of (Mis)information in Online Discourses in the Age of Deep Learning PhD Theses 2024 (1); by Katarina Boland
2024	Similarity Metrics for Numerical Simulations using Deep Learning PhD Theses 2024 (1); by Georg Kohl
2024	Causal inference and causal machine learning for data-driven management: applications in corporate finance and marketing PhD Theses 2024 (1); by Helmut Wasserbacher
2024	On the confluence of machine learning and model-based energy minimization methods for computer vision PhD Theses 2024 (1); by Hannah Dröge
2024	Deep learning in volume rendering PhD Theses 2024 (1); by Dominik Engel
2024	Deep learning for brain-signal decoding from electroencephalography PhD Theses 2024 (1); by Robin Tibor Schirrmeister
2024	Contributions to energy informatics, data protection, AI-driven cybersecurity, and explainable AI PhD Theses 2024 (1); by Jana Gerlach
2024	Efficient Deep Learning at Inference Time for Gram Stained Image Classification PhD Theses 2024 (1); by Hee E. Kim
2024	Entity-centric machine learning: leveraging entity neighbourhoods for personalised predictors PhD Theses 2024 (1); by Vishnu Unnikrishnan
2024	A Deep Learning Approach for Inertial Sensor-based Handwriting Recognition & Reconstruction PhD Theses 2024 (1); by Mohamad Wehbi
2024	Machine Learning Models in Network Intrusion Detection Systems: Self-Supervised Detection of Malicious Flows and Traffic Patterns Recognition in Programmable Networks PhD Theses 2024 (1); by Pegah Golchin
2024	Non-invasive continuous blood pressure measurement using machine learning PhD Theses 2024 (1); by Carolin Wuerich
2024	Contrasting Explanations in Machine Learning. Efficiency, Robustness & Applications PhD Theses 2024 (1); by André Artelt
2024	Why Machine Learning Models Fail: A Benchmarking Perspective PhD Theses 2024 (1); by Claudio Michaelis
2024	Privacy-Decision Assisting Techniques: Leveraging Deep Learning Approaches for Predicting Social Ties, Sharing Audience, and Content Sensitivity in Online Social Media Networks PhD Theses 2024 (1); by Lindrit Kqiku
2024	Revealing trust transfer mechanisms in the context of artificial intelligence PhD Theses 2024 (1); by Maximilian Renner
2024	Machine Learning based Reliability Assurance in Optical Networks / Lars Eike Kruse ; Gutachter: Carmen Mas Machuca ; Betreuer: Stephan Pachnicke PhD Theses 2024 (1); by Lars E. Kruse
2024	Debugging learning algorithms: understanding and correcting machine learning models PhD Theses 2024 (1); by Christopher J. Anders
2024	Explainable AI for the Human-Centric Development of NLP Models: Working Towards more Interpretable, Robust, and Controllable Models PhD Theses 2024 (1); by Edoardo Mosca
2024	Human-centered explainable artificial intelligence for natural language processing PhD Theses 2024 (1); by Hendrik Schuff
2024	Machine learning with knowledge graphs for explainable Artificial Intelligence PhD Theses 2024 (1); by Yushan Liu
2024	Deep Learning and Continual Learning Techniques for Plant Image Analysis PhD Theses 2024 (1); by Sohaib Younis
2024	Efficient generalizable deep learning for inverse problems PhD Theses 2024 (1); by Wenzhao Zhao
2024	Preprocessing and Classification Techniques for FMCW Radar and Deep Learning Based Indoor Motion Classification PhD Theses 2024 (1); by Thomas Stadelmayer
2024	Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction PhD Theses 2024 (1); by Yannick Lingelbach
2024	Prediction of enzyme kinetic parameters and substrate scopes using artificial intelligence PhD Theses 2024 (1); by Alexander Kroll
2024	Understanding and assessment of privacy risks in machine learning systems PhD Theses 2024 (1); by Min Chen
2024	Artificial intelligence in organizations PhD Theses 2024 (1); by Ann-Katrin Maren Eicke
2024	Guiding the Practical Adoption of Federated Machine Learning in Organizations PhD Theses 2024 (1); by Tobias Müller
2024	Pricing and market modeling with artificial intelligence: applications to options markets PhD Theses 2024 (1); by Antal Ratku
2024	Statistical approaches towards label uncertainty in machine learning models PhD Theses 2024 (1); by Katharina Hechinger
2024	Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies PhD Theses 2024 (1); by Annika Stein
2024	Machine learning techniques for time series forecasting in power systems operation PhD Theses 2024 (1); by Gonca Gürses-Tran
2024	Deep learning for imaging particle analysis applications PhD Theses 2024 (1); by Max Frei
2024	Supporting Early Phases of Conceptual Design in Architecture Using Case-Based Reasoning and Distributed Artificial Intelligence PhD Theses 2024 (1); by Viktor Eisenstadt
2024	Challenges in machine learning for predicting psychological attributes from smartphone data PhD Theses 2024 (1); by Jiew-Quay Au
2024	Operational forecasting platforms based on artificial intelligence methods PhD Theses 2024 (1); by Willian Weber de Melo
2024	Drowsy driving monitorization using statistical and machine learning techniques PhD Theses 2024 (1); by Ana Rita Antunes
2024	Deep Learning-based Perception Modules using RGB Data applied in a Dynamic Visual Interface for Brain-actuated Wheelchairs PhD Theses 2024 (1); by Ricardo Pereira
2024	Artificial Intelligence (AI) Implications for Marketing: The Role of Identity Based Motivation PhD Theses 2024 (1); by Ana Rita Gonçalves
2024	Ethics and new trends in artificial intelligence in intensive care units PhD Theses 2024 (1); by Diana Ferreira
2024	Omics-based prediction of human phenotypes using scalable machine learning approaches PhD Theses 2024 (1); by Marta Moreno
2024	Map-Optimize-Learn: A Data Transformation, Feature Selection and Deep Learning Based Strategy to Improve Predictions on Tabular Dataset PhD Theses 2024 (1); by Mario Tasso Ribeiro Serra Neto
2024	"Some things you can ask me": on gender and artificial intelligence PhD Theses 2024 (1); by Pedro Ferreira Da Costa
2024	The Impact of Artificial Intelligence (AI) Replacement in Marketing - Integrating Contemporary Service Theories to Explore Stakeholder Dynamics PhD Theses 2024 (1); by Darina Vorobeva
2024	Artificial Intelligence Methods for Automated Difficulty and Power Balance in Games PhD Theses 2024 (1); by Simão Paulo Rato Alves Reis
2024	Data-centric artificial intelligence in the context of computer vision PhD Theses 2024 (1); by Daniel Canedo
2024	Hybrid methods based on optimization and machine learning in engineering PhD Theses 2024 (1); by Beatriz Flamia Azevedo
2024	M3L: exploring synergies between metabolic modelling and machine learning for studying plants PhD Theses 2024 (1); by Marta Sampaio
2024	Artificial intelligence collaborative robot for patient-specific laser treatment of vascular lesions PhD Theses 2024 (1); by Bruno Oliveira
2024	AI-Enhanced Indoor Localization System for Autonomous Mobile Robots PhD Theses 2024 (1); by João A. Braun Neto
2024	Scalable hardware solutions for machine learning: FPGA implementation and methodology analysis PhD Theses 2024 (1); by Gracieth Cavalcanti Batista
2024	Explainable Artificial Intelligence: Methods and Evaluation PhD Theses 2024 (1); by Gayane Grigoryan
2024	Binary Deep Learning: Binary Weights and Semantic Binary Data Compression PhD Theses 2024 (1); by Yunqiang Li
2024	Self-supervised deep learning methods for medical image analysis (Selbstüberwachte Deep Learning Methoden für die medizinische Bildanalyse) PhD Theses 2024 (1); by Aiham Taleb
2024	Performance and Interpretability of Entity Matching with Deep Learning PhD Theses 2024 (1); by Nils Barlaug
2024	Generative AI for Artifact Correction and Privacy-Secure Medical Imaging PhD Theses 2024 (1); by Lennart Alexander Van der Goten
2024	A Perturbation Approach to Differential Privacy for Deep Learning based Speech Processing PhD Theses 2024 (1); by Chao-Han Huck Yang
2024	Human Behaviour Recognition of Elderly in Single-Resident IoT Enabled Smart Homes: An Applied Machine Learning Approach PhD Theses 2024 (1); by Zahraa Khais Shahid
2024	Deep Learning and Scientific Models: Complementing Dynamical Systems Using Artificial Neural Networks PhD Theses 2024 (1); by Rodolfo Adrian Rojas Campos
2024	Deep learning assisted phase retrieval and computational methods in coherent diffractive imaging PhD Theses 2024 (1); by Alfredo Bellisario
2024	Machine Learning Methods for Heterogeneous Data: Multimodal deep learning and dimensionality reduction PhD Theses 2024 (1); by Kateryna Chumachenko
2024	Toward electrocardiogram acquisition via a novel wearable device and analysis via artificial intelligence PhD Theses 2024 (1); by Luca Neri
2024	Machine Learning Aided Uncertainty Quantification for Engineering Structures PhD Theses 2024 (1); by Qihan Wang
2024	Artificial Intelligence for Medical Image Analysis with Limited Data PhD Theses 2024 (1); by Christos Matsoukas
2024	Distributed Deep Learning Methods for Medical Imaging Analysis PhD Theses 2024 (1); by Raissa Souza
2024	A deep learning approach to solving inverse problems PhD Theses 2024 (1); by Jihui Jin
2024	Automatic Bucket Filling for Wheel Loaders: A Machine Learning Approach PhD Theses 2024 (1); by Daniel Eriksson
2024	Using Accelerometer Data and Machine Learning as Support for Clinical Studies PhD Theses 2024 (1); by Andrea Fasciglione
2024	Robust and generalizable AI for medical image processing PhD Theses 2024 (1); by Emir Konuk
2024	ICT in Public Transport: Exploring the Potential of IoT and Machine Learning in the context of Automatic Passenger Counting Systems PhD Theses 2024 (1); by Deepan Anbarasan
2024	Analysis of Sensor Data Using Machine Learning Algorithms for Health Applications PhD Theses 2024 (1); by Aditi Site
2024	AI System for Automatic Robotic Microsurgery PhD Theses 2024 (1); by Shunlei Li
2024	AI Empowered Music Education PhD Theses 2024 (1); by Snehesh Shrestha
2024	Toward Trustworthiness of Deep Learning Models for 12-Lead ECGs PhD Theses 2024 (1); by Theresa Bender
2024	Data-Centric Bias Mitigation in Machine Learning Life Cycle PhD Theses 2024 (1); by Hantian Zhang
2024	Algorithm-Hardware Co-design for Deep Learning and Probabilistic Computing with Compute-in-Memory Accelerators PhD Theses 2024 (1); by Anni Lu
2024	Digital transformation in a hyper-connected world. Transforming legacy systems through blockchains, IoT and AI PhD Theses 2024 (1); by Francesca De Luzi
2024	Improving the Understanding of Malware using Machine Learning PhD Theses 2024 (1); by Evan Downing
2024	Advances in Bayesian Model Selection and Uncertainty Estimation for Deep Learning PhD Theses 2024 (1); by Alexander Immer
2024	Privacy-Preserving Deep Learning Framework for IoT Malware Detection PhD Theses 2024 (1); by Sabbir Ahmed Khan
2024	Natural Language Processing using Deep Learning for Classifying Water Infrastructure Procurement Records and Calculating Unit Costs PhD Theses 2024 (1); by Milad Khaki
2024	Interpretabilnost modela dubokoga učenja vrjednovanjem mapa relevantnosti ; Interpretability of deep learning models by evaluating relevance maps PhD Theses 2024 (1); by Davor Vukadin
2024	Differentiable Approximation of Discreteness for Interpretable and Efficient Deep Learning PhD Theses 2024 (1); by Peter Belcak
2024	Automated precision computational image analysis and applied machine learning for experimental and clinical hematology applications PhD Theses 2024 (1); by Meredith Fay
2024	A Comprehensive Analysis of Deep Learning for Interference Suppression, Sample and Model Complexity in Wireless Systems PhD Theses 2024 (1); by Taiwo Oyedare
2024	AI Enabled IoT Network Traffic Fingerprinting with Locality Sensitive Hashing PhD Theses 2024 (1); by Jay Thom
2024	BEYOND F(AI)TH: The introduction and materialisation of artificial intelligence in schools ; BEYOND F(AI)TH: Hur artificiell intelligens introduceras och materialiseras i skolan PhD Theses 2024 (1); by Katarina Sperling
2024	Methodologies for co-designing supercomputer-scale systems and deep learning software PhD Theses 2024 (1); by Mikhail Isaev
2024	KI-basierte Personalisierung der Therapie des Schlaganfalls zur Outcome-Verbesserung (AI-Based Personalization of Stroke Treatment for Outcome Improvement) PhD Theses 2024 (1); by Dietmar Frey
2024	Exploring feature identification and machine learning in predicting protein-protein interactions of disordered proteins PhD Theses 2024 (1); by Gözde Kibar
2024	Denoising Monte Carlo Renderings: a Sub-Pixel Exploration with Deep Learning PhD Theses 2024 (1); by Xianyao Zhang
2024	Understanding and Enhancing Machine Learning Models with Theoretical Foundations PhD Theses 2024 (1); by Zhengmian Hu
2024	Minie: a Machine Learning Network Inference Tool for Time-Series Multi-Omic Data PhD Theses 2024 (1); by Maria Moscardo Garcia
2024	Deep Learning and Explainable Artificial Intelligence for Biomedical Applications: Methods for Cytology-based Cancer Detection PhD Theses 2024 (1); by Nadezhda Koriakina
2024	Bone X-Ray analysis with explainable AI and multimodal self-supervised learning PhD Theses 2024 (1); by Alexandre Englebert
2024	Visual, Interactive Deep Model Debugging : Supporting AI Development and Explainability PhD Theses 2024 (1); by Thilo Spinner
2024	Analysis and classification of malware based on symbolic execution and machine learning PhD Theses 2024 (1); by Charles-Henry Bertrand Van Ouytsel
2024	Bayesian Additive Regression Networks (BARN): A Machine Learning Algorithm and Scientific Software Library PhD Theses 2024 (1); by Danielle Van Boxel
2024	Machine learning for traffic prediction and communication efficient data analytic in wireless networks PhD Theses 2024 (1); by Abdulrahman Alamoudi
2024	Privacy-preserving graph machine learning PhD Theses 2024 (1); by Iyiola E. Olatunji
2024	Generative Deep Learning for Inverse Design: Photonics and Beyond PhD Theses 2024 (1); by Dayu Zhu
2024	From Data to Decisions: A Comparative Study of Machine Learning and Statistical Approaches in Estimating Passenger Counts PhD Theses 2024 (1); by Ximena Rocio Garzón Ruiz
2024	Self-supervised deep learning and EEG categorization PhD Theses 2024 (1); by Mats Svantesson
2024	Machine Learning-Aided Monitoring and Prediction of Respiratory and Neurodegenerative Diseases Using Wearables PhD Theses 2024 (1); by Justyna Skibinska
2024	Manifold Learning of Neural Representations for Efficient Machine Learning Systems PhD Theses 2024 (1); by Kion Fallah
2024	Understanding and Improving Reliability of Predictive and Generative Deep Learning Models PhD Theses 2024 (1); by Priyatham Kattakinda
2024	Robust machine learning models for high dimensional data interpretation PhD Theses 2024 (1); by Francesco Manigrasso
2024	Leveraging AI to Combat Misinformation by Empowering Crowds and Evaluating Detectors PhD Theses 2024 (1); by Bing He
2024	Information-theoretic frameworks for Machine Learning on Solar Data PhD Theses 2024 (1); by Denis Ullmann
2024	Towards Effective and Inclusive AI: Aligning AI Systems with User Needs and Stakeholder Values Across Diverse Contexts PhD Theses 2024 (1); by Yang Trista Cao
2024	Deep Learning for Histopathology Whole Slide Image Analysis PhD Theses 2024 (1); by Lei Fan
2024	Deep Learning-Based Depth Estimation from Light Fields PhD Theses 2024 (1); by Titus Leistner
2024	Beyond predictions: alignment between prior knowledge and machine learning for human-centric augmented intelligence PhD Theses 2024 (1); by Xia Chen
2024	HW/SW Co-Design for Security Systems and the Investigation of Deep Learning-based Side-channel Analysis PhD Theses 2024 (1); by Huimin Li
2024	Hybrid AI Systems in Automated Content Moderation and Analysis (Hybride KI-Systeme für die automatisierte Moderation und Analyse von Inhalten) PhD Theses 2024 (1); by Veronika Solopova
2024	Artificial Intelligence in Organizations: Managing the Lifecycle of Conversational Agents PhD Theses 2024 (1); by Tom Lewandowski
2024	Advancing X-ray imaging with deep learning: Physics-inspired reconstruction approaches PhD Theses 2024 (1); by Yuhe Zhang
2024	Interpretable machine learning: leveraging SVMs to construct optimal decision trees PhD Theses 2024 (1); by Marta Monaci
2024	Informed machine learning for epidemics: from data analysis to time-series forecasting PhD Theses 2024 (1); by Federico Baldo
2024	Adaptive Data Visualization via Machine Learning from Human Feedback PhD Theses 2024 (1); by Matt-Heun Hong
2024	Computability theory for deep learning and matrix optimization PhD Theses 2024 (1); by Luca Eva Gazdag
2024	Machine Learning for Cancer Survival Prediction (Maschinelles Lernen für die Krebsüberlebensvorhersage) PhD Theses 2024 (1); by Kristina Thedinga
2024	Data Efficient Deep Learning Models for Biomedical Image Segmentation PhD Theses 2024 (1); by Marin Bencevic
2024	Knowledge Transferability for Data-Efficient Deep Learning PhD Theses 2024 (1); by Andrea Maracani
2024	Promoting Human-Centered AI by Integrating Human Factors into Model Design (Förderung von menschenzentrierter KI durch die Integration menschlicher Faktoren in das Modell-Design) PhD Theses 2024 (1); by Yao Rong
2024	The Signature Transform in Numerics and Machine Learning PhD Theses 2024 (1); by Biagio Paparella
2024	Weakly Supervised Deep Learning for Human Activity Recognition PhD Theses 2024 (1); by Sungtae An
2024	Data Centric AI PhD Theses 2024 (1); by Thomas Frick
2024	Topics in Stochastic Optimization: Learning with Implicit and Adaptive Steps (Implizite und Adaptive Methoden der Stochastischen Optimierung für Machine Learning) PhD Theses 2024 (1); by Fabian Schaipp
2024	Machine Learning Characterization of Vascular Functions in Stroke Perfusion Imaging (Charakterisierung vaskulärer Funktionen in der Schlaganfall-Perfusionsbildgebung mittels maschinellem Lernen) PhD Theses 2024 (1); by Ezequiel de la Rosa
2024	Deep Learning for Causal Inference and Latent Dynamical Modeling in Biomedical Research PhD Theses 2024 (1); by Kai Lagemann
2024	Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things: Enhancing COVID-19 & Early Sepsis Detection PhD Theses 2024 (1); by Mahbub Ul Alam
2024	Mitigating AI-Enabled Cyber Attacks on Hardware, Software, and System Users PhD Theses 2024 (1); by Fredrik Heiding
2024	Machine Learning in Digital Neuropathology: Towards a Large-Scale Analysis Platform for Federated Cohorts PhD Theses 2024 (1); by Juan Carlos Vizcarra
2024	Out of Distribution Evaluation of Natural Language Processing Systems: Generalization to low-Resource and distant Languages and Human-AI Collaborative Writing PhD Theses 2024 (1); by Aquia Richburg
2024	Machine Learning for Agile Robotic Control PhD Theses 2024 (1); by Nolan Wagener
2024	Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning (Datengetriebene thermische Modellierung eines Permanentmagnet-Synchronomotors mittels maschinellem Lernen) PhD Theses 2024 (1); by Wilhelm Kirchgässner
2024	Learning with Less: Low-rank Dynamics, Communication, and Introspection in Machine Learning PhD Theses 2024 (1); by Bradley T. Baker
2024	Interpreting Omics Data in Parkinson's Disease: A Statistical, Machine Learning, and Graph Representation Learning Approach PhD Theses 2024 (1); by Elisa Gómez de Lope
2024	Human-Centered Explainable AI for Sequential Decision-Making Systems PhD Theses 2024 (1); by Devleena Das
2024	Enabling Low-Data Machine Learning with Visual Foundation Models PhD Theses 2024 (1); by Manuel Knott
2024	Artificial Intelligence-Based Approaches for Analysis and Optimization of Complex Systems: Case Studies in Computational Epidemiology PhD Theses 2024 (1); by Shaon Bhatta Shuvo
2024	Machine learning and computational analyses of adaptive immune receptors PhD Theses 2024 (1); by Lonneke Scheffer
2024	Explore, Support, and Interact: Scaling Interpretable and Explainable Machine Learning up to Realities of Biomedical Data PhD Theses 2024 (1); by Ricards Marcinkevics
2024	Compiler and Machine Learning-based Predictive Techniques for Security Enhancement through Software Debloating PhD Theses 2024 (1); by Chris Porter
2024	On Deep Learning for Low-Dimensional Representations PhD Theses 2024 (1); by Daniel Gedon
2024	A Novel Approach to Developing Digital Twins in Maintenance Utilising Industrial Artificial Intelligence PhD Theses 2024 (1); by Amit Patwardhan
2024	Development and Application of Scalable Density Functional Theory Machine Learning Models PhD Theses 2024 (1); by Lenz Fiedler
2024	Deep Learning for Real-Time Inverse Problems and Data Assimilation with Uncertainty Quantification for Digital Twins PhD Theses 2024 (1); by Nikolaj Takata Mücke
2024	Robust and Trustworthy Machine Learning PhD Theses 2024 (1); by Hanxun Huang
2024	Secure Machine Learning Based RF Signal Classification for Wireless Systems PhD Theses 2024 (1); by Wenhan Zhang
2024	Machine Learning for Perception and Localization: Efficient and Invariant Methods PhD Theses 2024 (1); by Axel Berg
2024	Remaining Machining Tool Life Prediction Using Machine Learning PhD Theses 2024 (1); by Lukas Krupp
2024	Synergizing Machine Learning and Optimization: Scalable Real-Time Risk Assessment in Power Systems PhD Theses 2024 (1); by Wenbo Chen
2024	Advanced Machine Learning for Sparse Representations in Pattern Recognition Applications PhD Theses 2024 (1); by Muharrem Mete Ahishali
2024	Advanced Strategies for Improving the Robustness of Deep Learning PhD Theses 2024 (1); by Keyu Chen
2024	Deep Learning Methods for Novel Peptide Discovery and Function Prediction PhD Theses 2024 (1); by Shaokai Wang
2024	Utilization of Machine Learning Algorithms and Radio Frequency Signals to Remove the Barriers of Low-Cost Accurate Seamless Localization PhD Theses 2024 (1); by Ghazaleh Kia
2024	Parallel computing architectures and techniques for heterogeneous acceleration of AI algorithms PhD Theses 2024 (1); by Nazareno Bruschi
2024	Design Methodology And Electronic Design Automation Techniques For Heterogeneous 3D Machine Learning Accelerators PhD Theses 2024 (1); by Gauthaman Murali
2024	Ontology-Enhanced Automated Machine Learning PhD Theses 2024 (1); by Cooper T. S. Davies
2024	Abstractions for Efficient Machine Learning and Nested Data Processing PhD Theses 2024 (1); by Dan-Ovidiu Graur
2024	Improving Labour Inspection Efficiency via Machine Learning PhD Theses 2024 (1); by Eirik Lund Flogard
2024	Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning PhD Theses 2024 (1); by Alexander V. Nikitin
2024	Improving Human Safety Through Motion Planning, Machine Learning, and an Assistive Exoskeleton PhD Theses 2024 (1); by Aakash Bajpai
2024	On Color and Symmetries for Data Efficient Deep Learning PhD Theses 2024 (1); by Attila Lengyel
2024	Interpretable machine learning and generative modeling with mixed tabular data - advancing methodology from the perspective of statistics PhD Theses 2024 (1); by Kristin Blesch
2024	Deep Learning Methods for Point Matching, Visual Localization and 3D Reconstruction PhD Theses 2024 (1); by Shuzhe Wang
2024	Deep learning for brain structure and function analysis from neuroimaging data PhD Theses 2024 (1); by Ari Tchetchenian
2024	Deep learning for massive multiple access in 6G PhD Theses 2024 (1); by Muhammad Usman Khan
2024	Machine learning for cultural heritage conservation: decoding the past through analysis of hyperspectral data PhD Theses 2024 (1); by Lingxi Liu
2024	Toward personalized medicine and transparent decision-making with Machine Learning Models for complex diseases: a focus on HIV-1 and type 2 Diabetes PhD Theses 2024 (1); by Giulia Di Teodoro
2024	Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning ; Perspektiv pÃ¥ prediktiv- och etikettosäkerhet i probabilistisk maskininlärning PhD Theses 2024 (1); by Amanda Olmin
2024	Flexible Machine Learning and Reinforcement Learning in Decision Making PhD Theses 2024 (1); by Haixu Ma
2024	Building Teachable AI from Explanations, Interactions, and Demonstrations PhD Theses 2024 (1); by Sayan Ghosh
2024	Simulation, Representation, and Automation: Human-Centered Artificial Intelligence for Augmenting Visualization Design PhD Theses 2024 (1); by Sungbok Shin
2024	Towards Generalized and Scalable Machine Learning on Structured Data PhD Theses 2024 (1); by Kezhi Kong
2024	Deep learning-based severity analysis of pneumoconiosis in Chest X-Rays PhD Theses 2024 (1); by Md. Shariful Alam
2024	Enhancing autonomous driving vision: deep learning approaches to data synthesis, 3D representation and model efficiency PhD Theses 2024 (1); by Anthony Dell'Eva
2024	Mathematical Methods for eXplainable and Reliable Machine Learning in Trustworthy Artificial Intelligence PhD Theses 2024 (1); by Alberto Carlevaro
2024	Domain Knowledge Exploitation for Machine Learning Applications in the Context of Automated Driving and Manufacturing (Ausnutzung von Domänenwissen für Maschinelles Lernen im Kontext des Automatisierten Fahrens und der Fertigung) PhD Theses 2024 (1); by Matthias Pollach
2024	Machine Learning Algorithms for Computer-aided Diagnosis of Myocardial Infarction from 2D Echocardiography and COVID-19 from Chest X-rays PhD Theses 2024 (1); by Aysen Degerli
2024	Enhancing maritime video surveillance trough deep learning and hybrid distance estimation ; Rad ne sadrži naslov na drugom jeziku PhD Theses 2024 (1); by Miro Petkovic
2024	Leveraging machine learning for enhancing code performance and programming productivity PhD Theses 2024 (1); by Fangke Ye
2024	Enabling multi-tasking AI-based perception on autonomous nano-UAVS PhD Theses 2024 (1); by Lorenzo Lamberti
2024	Integrating Multi-Domain Electronic Health Data, Machine Learning, and Automated Cardiac Phenomics for Personalized Cardiovascular Care PhD Theses 2024 (1); by Steven Dykstra
2024	Advances in Deep Learning: Towards Robustness, Multimodality, and Zero-Shot Abilities PhD Theses 2024 (1); by Zhao Meng
2024	Interpretable Artificial Intelligence for Personalized Human-Robot Collaboration PhD Theses 2024 (1); by Rohan Paleja
2024	Towards Mental Imagery-Aware Systems using Physiological Sensors and Machine Learning PhD Theses 2024 (1); by Iuliia Brishtel
2024	Deep Learning Diffusion Parameters from Magnetic Resonance Imaging An Odyssey of Deep Learning IVIM Parameter Estimation PhD Theses 2024 (1); by Misha P. T. Kaandorp
2024	Analysis of Optical Subsystems and Links using Statistical and Machine Learning Methods PhD Theses 2024 (1); by Daniel Lippiatt
2024	Tree-based machine learning methods with non-life insurance applications PhD Theses 2024 (1); by Henning Zakrisson
2024	Towards Trustworthy Machine Learning Using Unlabeled Data PhD Theses 2024 (1); by Alexandru Tifrea
2024	Fairness-aware Machine Learning in Educational Data Mining PhD Theses 2024 (1); by Tai Le Quy
2024	Machine learning for predicting antibody-antigen interaction from amino acid sequences PhD Theses 2024 (1); by Chao Ye
2024	Contemporary developments and applications of unsupervised machine learning methods PhD Theses 2024 (1); by Busra Tas Kiper
2024	Security and Privacy in Artificial Intelligence PhD Theses 2024 (1); by Farzad Nikfam
2024	Multimodal Video Understanding Based on Deep Learning PhD Theses 2024 (1); by Haopeng Li
2024	Weakly Supervised Deep Learning Scheme for Solar Panel Mapping Using Remote Sensing Images PhD Theses 2024 (1); by Jue Zhang
2024	Towards Trustworthy Machine Learning For Human Activity Recognition PhD Theses 2024 (1); by Debaditya Roy
2024	Machine Learning for Analysis and Diagnosis of Musculoskeletal Tumours (Maschinelles Lernen für die Analyse und Diagnose von muskuloskelettalen Tumoren) PhD Theses 2024 (1); by Florian Hinterwimmer
2024	Lifelong Machine Learning without Lifelong Data Retention PhD Theses 2024 (1); by James Seale Smith
2024	Deep Learning Applications in Pre-Clinical Imaging for accelerated Drug Discovery Studies PhD Theses 2024 (1); by Elena Vincenzi
2024	Machine Learning for Code: Security and Reliability PhD Theses 2024 (1); by Jingxuan He
2024	Meta-Solving via Machine Learning for Automated Reasoning PhD Theses 2024 (1); by Joseph Scott
2024	Bilevel Optimization in the Deep Learning Era: Methods and Applications PhD Theses 2024 (1); by Lei Zhang 0159
2024	Deep Learning for Prediction of Recurrence of Diffuse Large B-Cell Lymphoma PhD Theses 2024 (1); by Hussein Naji
2024	Artificial Intelligence based screening of materials for energy storage applications PhD Theses 2024 (1); by Giovanni Trezza
2024	On the Democratization of AI: Bridging the Gap with AutoML PhD Theses 2024 (1); by Joseph Giovanelli
2024	Advanced Machine Learning Models for Analyzing single-cell RNA-sequencing Data PhD Theses 2024 (1); by Akram Vasighizaker
2024	Interpretable and robust Machine Learning models for time-series analysis in cardiology PhD Theses 2024 (1); by Alina Dubatovka
2024	Suspension of Judgment in Artificial Intelligence - Uncovering Uncertainty in Data-Based and Logic-Based Systems PhD Theses 2024 (1); by Daniela Schuster
2024	Automated avalanche mapping with deep learning: from satellite to webcam imagery PhD Theses 2024 (1); by Elisabeth D. Hafner
2024	More Effective Test Case Generation with Multiple Tribes of AI PhD Theses 2024 (1); by Mitchell Olsthoorn
2024	Machine Learning Techniques for Inverse Problems PhD Theses 2024 (1); by Jonathan Eduardo Chirinos Rodriguez
2024	From 3D Mapping to Scene Representations for Embodied AI PhD Theses 2024 (1); by Vincent Cartillier
2024	Automated and Efficient Multi-Cloud Configuration for Machine Learning Workloads PhD Theses 2024 (1); by Malgorzata Lazuka
2024	Top View Deep Learning Object Detection using Active Perception in Construction Environment PhD Theses 2024 (1); by Tanittha Sutjaritvorakul
2024	Enhancing Machine Learning Robustness for Critical Industrial Systems: Constrained Adversarial Attacks and Distribution Drift Solutions PhD Theses 2024 (1); by Thibault Simonetto
2024	Quantitative convergence analysis of dynamical processes in machine learning PhD Theses 2024 (1); by Yuqing Wang
2024	Representation learning methods for robotic perception and learning - at the intersection of computational neuroscience and machine learning PhD Theses 2024 (1); by Oliver Struckmeier
2024	Machine learning-based assessment of multiple anatomical structures in medical image data for diagnosis and prediction of knee osteoarthritis (Auf maschinellem Lernen basierende Analyse mehrerer anatomischer Strukturen in medizinischen Bilddaten zur Diagnose und Vorhersage von Kniearthrose) PhD Theses 2024 (1); by Alexander Tack
2024	Practical Application of Machine Learning to Water Pipe Failure Prediction PhD Theses 2024 (1); by Kevin Laven
2024	Resource Allocation in V2I Link Between Connected Autonomous Vehicles and 5G mm-Wave Band Small-Cells Using Machine Learning PhD Theses 2024 (1); by Mostafa Raeisi
2024	Detection, Extraction and Analysis of Vossian Antonomasia in Large Text Corpora Using Machine Learning PhD Theses 2024 (1); by Michel Schwab
2024	Formal and Statistical Certification of Robustness and Fairness for AI PhD Theses 2024 (1); by Janko Diminic, Daniel Göhring, Mislav Balunovic
2024	Upper Aero Digestive Tract Cancer Diagnosis using Deep Learning Methods PhD Theses 2024 (1); by Muhammad Adeel Azam
2024	Physics Informed Deep Learning Application In High-Dimensional Groundwater Inverse Modeling Of Hydraulic Tomography PhD Theses 2024 (1); by Quan Guo
2024	Artificial Intelligence for Data-centric Surveillance and Forecasting of Epidemics PhD Theses 2024 (1); by Alexander D. Rodriguez Castillo
2024	Physics-informed Machine Learning with Uncertainty Quantification PhD Theses 2024 (1); by Arka Daw
2024	Data efficient machine learning-guided protein engineering PhD Theses 2024 (1); by Mason Minot
2024	Object Detection for Automotive Radar Perception (Machine Learning Approaches for Identifying Moving Road Users in Urban Scenarios) PhD Theses 2024 (1); by Nicolas Scheiner
2024	Deep learning in data scarcity scenarios PhD Theses 2024 (1); by Julio Ivan Davila Carrazco
2024	Metody hlubokého učení pro segmentaci elektrokardiografických signálů ; Segmentation of Electrocardiographic Signals Using Deep Learning Methods PhD Theses 2024 (1); by Jakub Hejc
2024	Towards Inherently Interpretable Machine Learning for Healthcare PhD Theses 2024 (1); by Jonas C. Ditz
2024	Approximation and Optimization of Compute-Intensive Environmental Simulations through Machine Learning Methods PhD Theses 2024 (1); by Elnaz Azmi
2024	Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning PhD Theses 2024 (1); by Haekyu Park
2024	Object Detection in High-Definition Mapping for Autonomous Driving: Machine Learning Method and Quality Control PhD Theses 2024 (1); by Ziqi Ma
2024	Deep Learning for CT Image Enhancement and Segmentation: Metal Artifact Reduction and Airway Segmentation PhD Theses 2024 (1); by Yan Hu
2024	Orange Juice: Enhancing Machine Learning Interpretability PhD Theses 2024 (1); by Alejandro Kuratomi Hernández
2024	Modern Adaptive Experiment Design: Machine Learning Perspective PhD Theses 2024 (1); by Mojmír Mutný
2024	Machine Learning for Biomedical Applications: From Clinical Complications to PCR Bias PhD Theses 2024 (1); by Bowen Fan
2024	Traffic Signal Phase and Timing Prediction: A Machine Learning and Controller Logic Hybrid Approach PhD Theses 2024 (1); by Seifeldeen Eteifa
2024	A Model-Agnostic Search for Beyond the Standard Model Physics in the Dijet Topology using Machine Learning PhD Theses 2024 (1); by Tobias Quadfasel
2024	Analyzing and Extending Machine Learning Frameworks on High Risk Domains PhD Theses 2024 (1); by Chengbin Hu
2024	Applicability and Robustness of Deep Learning in Healthcare ; Syväoppimisen soveltuvuus ja robustisuus terveydenhuollossa PhD Theses 2024 (1); by Jaakko Sahlsten
2024	Creativity Injection into AI-powered Multimedia Storyboards PhD Theses 2024 (1); by Bartolomeo Vacchetti
2024	Computational Intelligence for Computer-Aided Design Machine Learning Techniques for Microcontrollers Performance Screenings PhD Theses 2024 (1); by Nicolò Bellarmino
2024	Cost-efficient Hyperspectral Imaging Methods with Deep Learning PhD Theses 2024 (1); by Ke Li
2024	Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities PhD Theses 2024 (1); by Benedikt Heidrich
2024	Fundamentals of Quantum Communication Networks: Scalability, Efficiency, and Distributed Quantum Machine Learning PhD Theses 2024 (1); by Mahdi Chehimi
2024	Towards Trustworthiness in Artificial Intelligence: Pushing for Explainable, Fair, Robust, and Private Supervised Machine Learning PhD Theses 2024 (1); by Danilo Franco
2024	Scalable and Safe Deep Learning Architectures for Stochastic Optimal Control Using Forward-Backward Stochastic Differential Equations PhD Theses 2024 (1); by Marcus Aloysius Pereira
2024	Deep Beyond Pixels: Enhancing Super-Resolution via Deep Learning PhD Theses 2024 (1); by Jiezhang Cao
2024	Efficient Optimization Algorithms for Nonconvex Machine Learning Problems PhD Theses 2024 (1); by Wenhan Xian
2024	Globální plánování cest v neurčitých prostředích s využitím metod umělé inteligence ; GLOBAL PATH PLANNING IN NONDETERMINISTIC ENVIRONMENT USING ARTIFICIAL INTELLIGENCE PhD Theses 2024 (1); by Petr Soustek
2024	Human-Aware Artificial Intelligence Procedural Content Generation PhD Theses 2024 (1); by Zhiyu Lin
2024	Towards Interpretable Machine Learning for Healthcare using Domain Knowledge PhD Theses 2024 (1); by Irfan Al-Hussaini
2024	Machine Learning Solutions for Classification and Regions of Interest Analysis on Imbalanced Datasets PhD Theses 2024 (1); by Lei Xu
2024	Foundations of Trustworthy Deep Learning: Fairness, robustness, and Explainability PhD Theses 2024 (1); by Vedant Nanda
2024	Otkrivanje anomalija mrežnog prometa metodom klasifikacije strojnim učenjem u hibridnoj programski definiranoj mreži ; Anomaly Detection in Network Traffic Using Machine Learning Classification in a Hybrid Software-Defined Network PhD Theses 2024 (1); by Igor Fosic
2024	Graph-based Methods for Efficient, Interpretable and Reliable Machine Learning PhD Theses 2024 (1); by Yujunrong Ma
2024	Biomedical Image Stack Analysis with Machine Learning and Virtual Reality PhD Theses 2024 (1); by Kaisa Liimatainen
2024	Machine Learning Explainability on Multi-Modal Data using Ecological Momentary Assessments in the Medical Domain (Erklärbarkeit von maschinellem Lernen unter Verwendung multi-modaler Daten und Ecological Momentary Assessments im medizinischen Sektor) PhD Theses 2024 (1); by Johannes Allgaier
2024	Development of Novel Deep Learning Techniques for Accelerated Diffusion MRI PhD Theses 2024 (1); by Phillip Martin
2024	Rankings and importance scores as multi-facets of explainable machine learning PhD Theses 2024 (1); by Chiara Balestra
2024	Detecting, Counting, and Estimating the Speed of Moving Objects in Edge Devices through Deep Learning PhD Theses 2024 (1); by Zuo Huang
2024	AI-enhanced cyber-physical systems in automotive industry : integration of CPS and application artificial intelligence technologies in automotive paint shop process PhD Theses 2024 (1); by Elma Sanz Gràcia
2024	Software diagnostics for autonomous safety-critical control-systems based on artificial intelligence PhD Theses 2024 (1); by Javier Fernández
2024	Artificial intelligence, LiDAR and co-operative remote sensing for atmospheric observation and off-shore wind energy PhD Theses 2024 (1); by Andreu Salcedo-Bosch
2024	Lifelong AI-driven zero-touch network slicing PhD Theses 2024 (1); by Farhad Rezazadeh
2024	Prediction of mental health crises based on electronic health records: probabilistic and machine learning models for clinical applications PhD Theses 2024 (1); by Roger Garriga
2024	Deep Learning-based Solutions to Improve Diagnosis in Wireless Capsule Endoscopy PhD Theses 2024 (1); by Pablo Laiz
2024	Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions PhD Theses 2024 (1); by Pedro Herruzo
2024	Optimization of neural networks for deep learning and applications to CT image segmentation PhD Theses 2024 (1); by Giuseppe Pezzano
2024	Energy management systems for smart homes and local energy communities based on optimization and artificial intelligence techniques PhD Theses 2024 (1); by Sara Barja-Martinez
2024	Fault diagnosis in wind turbines using machine learning techniques PhD Theses 2024 (1); by Esvan-Jesús Pérez-Pérez
2024	Generalizability in multi-centre cardiac image analysis with machine learning PhD Theses 2024 (1); by Víctor M. Campello
2024	US signal and image monitoring and diagnosis using computer vision and deep learning PhD Theses 2024 (1); by Maria Farahi
2024	Intelligent condition monitoring of structures through data-driven process and machine learning methods PhD Theses 2024 (1); by Jersson X. Leon-Medina
2024	Deep learning based methodologies applied to industrial electromechanical systems monitoring PhD Theses 2024 (1); by Francisco Arellano-Espitia
2024	Fuzzy-based machine learning methods for continuous diagnosis and prognosis of Diabetic Retinopathy PhD Theses 2024 (1); by Jordi Pascual-Fontanilles
2024	Artificial intelligence solutions for quantum communications PhD Theses 2024 (1); by Seyed Morteza Ahmadian
2024	Computational analysis of fetal brain development with patient-specific modelling and deep learning techniques PhD Theses 2024 (1); by Mireia Alenyà
2024	Machine learning techniques for adaptive polynomial and neural network digital predistorters PhD Theses 2024 (1); by David López Bueno
2024	Scaling deep learning workloads. Applications in computer vision and seismology PhD Theses 2024 (1); by Stalin Leonel Cruz de la Cruz
2024	Self-supervised Advanced Deep Learning for Characterization of Brain Tumor Aggressiveness and Prognosis Analysis Through Multimodality MRI Imaging PhD Theses 2024 (1); by Moona Mazher
2024	Contributions to Explainability and Attack Detection in Deep Learning PhD Theses 2024 (1); by Rami Haffar
2024	Deep Learning Based Data Fusion Approaches for the Assessment of Cognitive States on EEG Signals PhD Theses 2024 (1); by José Elías Yauri Vidalón
2024	Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures PhD Theses 2024 (1); by Peini Liu
2024	Unsupervised and attention approaches for deep learning speaker recognition PhD Theses 2024 (1); by Pooyan Safari
2024	Machine learning algorithms for 5G optical networks PhD Theses 2024 (1); by Asmaa Ibrahim
2024	Application of machine learning methods on SARS-Cov-2: Mortality prediction by using health and nutritional factors and prediction of recurrent mutations PhD Theses 2024 (1); by Bryan Saldivar-Espinoza
2024	AI with care: Integrating machine learning with expert knowledge for In Vitro Fertilization PhD Theses 2024 (1); by Núria Correa

Software Engineering / Martin Fowler (FREE)

2024	Exploring Generative AI Martin Fowler (FREE) 2024 Generative AI and particularly LLMs Large Language Models have exploded into the public consciousness.
2024	Instead of restricting AI and algorithms, make them explainable Martin Fowler (FREE) 2024 The steady increase in deployment of AI tools has led a lot of people concerned about how software makes decisions that affect our lives.

Software Engineering / GOTO Conference Videos (FREE)

2024	Code Generation in 2024: How AI Will Take Your Job…to the Next Level! GOTO Conference Videos (FREE) 2024; by Julien Dubois
2024	Spring AI Is All You Need GOTO Conference Videos (FREE) 2024; by Christian Tzolov
2024	Harnessing AI to Clean up Beaches from Plastic Pellets GOTO Conference Videos (FREE) 2024; by Signe Simonsen, Julian Wood
2024	AI Assistance Beyond Code: What Do We Need to Make it Work? GOTO Conference Videos (FREE) 2024; by Birgitta Bckeler
2024	How to Make Smart Architecture Decisions when Building Gen AI Apps GOTO Conference Videos (FREE) 2024; by Gillian Armstrong
2024	Navigating AI's Impact GOTO Conference Videos (FREE) 2024; by Alistair Cockburn, Aino Vonge Corry
2024	Your AI Survival Guide GOTO Conference Videos (FREE) 2024; by Sol Rashidi, Joe Reis
2024	Health Insurance Appeals with Generative AI: From Lab to Production GOTO Conference Videos (FREE) 2024; by Holden Karau
2024	Using Generative AI to Strengthen & Accelerate Learning GOTO Conference Videos (FREE) 2024; by Barbara Oakley
2024	Add Useful AI to Your Web App (Not Just Chatbots) GOTO Conference Videos (FREE) 2024; by Steve Sanderson
2024	How AI Will Bring Computing to Everyone GOTO Conference Videos (FREE) 2024; by Matt Welsh
2024	How to Lead Your Organisation’s AI-Transformation GOTO Conference Videos (FREE) 2024; by Rasmus Lystrm
2024	Skills for the Age of AI GOTO Conference Videos (FREE) 2024; by Michelle "MishManners" Duke
2024	AI Powered Bug Hunting GOTO Conference Videos (FREE) 2024; by Ben Sadeghipour NahamSec
2024	Practical GenAI: Building a Chatbot Using Spring AI GOTO Conference Videos (FREE) 2024; by Rod Johnson
2024	Concerto for Java & AI - Building Production-Ready LLM Apps GOTO Conference Videos (FREE) 2024; by Thomas Vitale
2024	Where AI Meets Code GOTO Conference Videos (FREE) 2024; by Michael Feathers
2024	AI-Powered Software Development From the Trenches GOTO Conference Videos (FREE) 2024; by Henrik Kniberg
2024	The Marvelous Magic of Multimodal AI GOTO Conference Videos (FREE) 2024; by Alex Castrounis
2024	AI-Powered Bug Hunting GOTO Conference Videos (FREE) 2024; by Ben Sadeghipour NahamSec
2024	Event Streaming for Multi-Agentic Generative AI Workflows GOTO Conference Videos (FREE) 2024; by Mary Grygleski
2024	Concerto for Java & AI – Building Production-Ready LLM Applications GOTO Conference Videos (FREE) 2024; by Thomas Vitale
2024	Enhancing Productivity with Tools, Aesthetics & AI GOTO Conference Videos (FREE) 2024; by Cassidy Williams, Ben Hong

Software Engineering / SE Radio Podcasts (FREE)

2024	SE Radio 648: Matthew Adams on AI Threat Modeling and Stride GPT SE Radio Podcasts (FREE) 2024 Matthew Adams, Head of Security Enablement at Citi, joins SE Radio host Priyanka Raghavan to explore the use of large language models in threat modeling,…
2024	SE Radio 641: Catherine Nelson on Machine Learning in Data Science SE Radio Podcasts (FREE) 2024 Catherine Nelson, author of the new OReilly book, Software Engineering for Data Scientists, discusses the collaboration…
2024	SE Radio 633: Itamar Friedman on Automated Testing with Generative AI SE Radio Podcasts (FREE) 2024 Itamar Friedman, the CEO and co-founder of CodiumAI, speaks with host Gregory M.
2024	SE Radio 626: Ipek Ozkaya on Gen AI for Software Architecture SE Radio Podcasts (FREE) 2024 Ipek Ozkaya, Principal Researcher and Technical Director of the Engineering Intelligent Software Systems group at the Software Engineering Institute,…

Computing (general) / ACM Computing Surveys

2024	Deep Learning for Table Detection and Structure Recognition: A Survey ACM Computing Surveys 2024 (12); by Mahmoud SalahEldin Kasem, Abdelrahman Abdallah, Alexander Berendeyev, Ebrahem Elkady, Mohamed Mahmoud, Mahmoud Abdalla, Mohamed Hamada, Sebastiano Vascon, Daniyar B. Nurseitov, Islam Taj-Eddin
2024	A Unified Review of Deep Learning for Automated Medical Coding ACM Computing Surveys 2024 (12); by Shaoxiong Ji, Xiaobo Li, Wei Sun, Hang Dong, Ara Taalas, Yijia Zhang, Honghan Wu, Esa Pitkänen, Pekka Marttinen
2024	Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review ACM Computing Surveys 2024 (12); by Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah
2024	Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey ACM Computing Surveys 2024 (12); by Yuecong Xu, Haozhi Cao, Lihua Xie, Xiao-Li Li, Zhenghua Chen, Jianfei Yang
2024	Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey ACM Computing Surveys 2024 (12); by Uchitha Rajapaksha, Ferdous Sohel, Hamid Laga, Dean Diepeveen, Mohammed Bennamoun
2024	Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit ACM Computing Surveys 2024 (12); by Yao Wan, Zhangqian Bi, Yang He, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
2024	A Comprehensive Analysis of Explainable AI for Malware Hunting ACM Computing Surveys 2024 (12); by Mohd Saqib, Samaneh Mahdavifar, Benjamin C. M. Fung, Philippe Charland
2024	Creativity and Machine Learning: A Survey ACM Computing Surveys 2024 (11); by Giorgio Franceschelli, Mirco Musolesi
2024	Secure UAV (Drone) and the Great Promise of AI ACM Computing Surveys 2024 (11); by Behrouz Zolfaghari, Mostafa Abbas Mollaei, Fahimeh Hajizadeh, Naoto Yanai, Khodakhast Bibak
2024	AI-Based Affective Music Generation Systems: A Review of Methods and Challenges ACM Computing Surveys 2024 (11); by Adyasha Dash, Kathleen Agres
2024	Machine Learning with Confidential Computing: A Systematization of Knowledge ACM Computing Surveys 2024 (11); by Fan Mo, Zahra Tarkhani, Hamed Haddadi
2024	Macro Ethics Principles for Responsible AI Systems: Taxonomy and Directions ACM Computing Surveys 2024 (11); by Jessica Woodgate, Nirav Ajmeri
2024	Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias ACM Computing Surveys 2024 (11); by Anthony Paproki, Olivier Salvado, Clinton Fookes
2024	Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review ACM Computing Surveys 2024 (10); by James Halvorsen, Clemente Izurieta, Haipeng Cai, Assefaw Hadish Gebremedhin
2024	A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution ACM Computing Surveys 2024 (10); by Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng
2024	Artificial Intelligence for Web 3.0: A Comprehensive Survey ACM Computing Surveys 2024 (10); by Meng Shen, Zhehui Tan, Dusit Niyato, Yuzhi Liu, Jiawen Kang, Zehui Xiong, Liehuang Zhu, Wei Wang, Xuemin Sherman Shen
2024	Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions ACM Computing Surveys 2024 (10); by Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
2024	Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning ACM Computing Surveys 2024 (10); by Max Sponner, Bernd Waschneck, Akash Kumar
2024	Lightweight Deep Learning for Resource-Constrained Environments: A Survey ACM Computing Surveys 2024 (10); by Hou-I Liu, Marco Galindo, Hongxia Xie, Lai-Kuan Wong, Hong-Han Shuai, Yung-Hui Li, Wen-Huang Cheng
2024	Resilient Machine Learning: Advancement, Barriers, and Opportunities in the Nuclear Industry ACM Computing Surveys 2024 (9); by Anita Khadka, Saurav Sthapit, Gregory Epiphaniou, Carsten Maple
2024	Controllable Data Generation by Deep Learning: A Review ACM Computing Surveys 2024 (9); by Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui S. Qin, Liang Zhao
2024	Deep Learning for Iris Recognition: A Survey ACM Computing Surveys 2024 (9); by Kien Nguyen Thanh, Hugo Proença, Fernando Alonso-Fernandez
2024	Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey ACM Computing Surveys 2024 (9); by Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi
2024	Machine Learning in Metaverse Security: Current Solutions and Future Challenges ACM Computing Surveys 2024 (8); by Yazan Otoum, Navya Gottimukkala, Neeraj Kumar, Amiya Nayak
2024	Fairness in Machine Learning: A Survey ACM Computing Surveys 2024 (7); by Simon Caton, Christian Haas
2024	Exploiting Blockchain to Make AI Trustworthy: A Software Development Lifecycle View ACM Computing Surveys 2024 (7); by Peiyun Zhang, Song Ding, Qinglin Zhao
2024	Who's in Charge Here? A Survey on Trustworthy AI in Variable Autonomy Robotic Systems ACM Computing Surveys 2024 (7); by Leila Methnani, Manolis Chiou, Virginia Dignum, Andreas Theodorou
2024	Secure and Trustworthy Artificial Intelligence-extended Reality (AI-XR) for Metaverses ACM Computing Surveys 2024 (7); by Adnan Qayyum, Muhammad Atif Butt, Hassan Ali, Muhammad Usman, Osama Halabi, Ala I. Al-Fuqaha, Qammer H. Abbasi, Muhammad Ali Imran, Junaid Qadir
2024	Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering ACM Computing Surveys 2024 (7); by Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet
2024	Byzantine Machine Learning: A Primer ACM Computing Surveys 2024 (7); by Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
2024	Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey ACM Computing Surveys 2024 (7); by Jon Pérez-Cerrolaza, Jaume Abella, Markus Borg, Carlo Donzella, Jesús Cerquides, Francisco J. Cazorla, Cristofer Englund, Markus Tauber, George Nikolakopoulos, Jose Luis Flores
2024	Introduction to Special Issue on Trustworthy Artificial Intelligence ACM Computing Surveys 2024 (7); by Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano
2024	Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey ACM Computing Surveys 2024 (7); by Xiaodan Xing, Huanjun Wu, Lichao Wang, Iain Stenson, May Yong, Javier Del Ser, Simon Walsh, Guang Yang
2024	Efficient High-Resolution Deep Learning: A Survey ACM Computing Surveys 2024 (7); by Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2024	Deep Learning Workload Scheduling in GPU Datacenters: A Survey ACM Computing Surveys 2024 (6); by Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
2024	Machine Learning for Refining Knowledge Graphs: A Survey ACM Computing Surveys 2024 (6); by Budhitama Subagdja, D. Shanthoshigaa, Zhaoxia Wang, Ah-Hwee Tan
2024	Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review ACM Computing Surveys 2024 (6); by Mingliang Dou, Jijun Tang, Prayag Tiwari, Yijie Ding, Fei Guo
2024	A Survey of Robustness and Safety of 2D and 3D Deep Learning Models against Adversarial Attacks ACM Computing Surveys 2024 (6); by Yanjie Li, Bin Xie, Songtao Guo, Yuanyuan Yang, Bin Xiao
2024	Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches ACM Computing Surveys 2024 (6); by Jianping Yao, Son N. Tran, Saurabh Kumar Garg, Samantha Sawyer
2024	Malware Detection with Artificial Intelligence: A Systematic Literature Review ACM Computing Surveys 2024 (6); by Matthew G. Gaber, Mohiuddin Ahmed, Helge Janicke
2024	Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges ACM Computing Surveys 2024 (6); by Huaming Chen, Muhammad Ali Babar
2024	A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms ACM Computing Surveys 2024 (6); by Pascal Maniriho, Abdun Naser Mahmood, Mohammad Jabed Morshed Chowdhury
2024	A Systematic Collection of Medical Image Datasets for Deep Learning ACM Computing Surveys 2024 (5); by Johann Li, Guangming Zhu, Cong Hua, Mingtao Feng, Basheer Bennamoun, Ping Li, Xiaoyuan Lu, Juan Song, Peiyi Shen, Xu Xu, Lin Mei, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun
2024	Machine Learning and Physics: A Survey of Integrated Models ACM Computing Surveys 2024 (5); by Azra Seyyedi, Mahdi Bohlouli, Seyed Ehsan Nedaaee Oskoee
2024	A Survey of Deep Learning for Low-shot Object Detection ACM Computing Surveys 2024 (5); by Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song
2024	A Survey of Privacy Attacks in Machine Learning ACM Computing Surveys 2024 (4); by Maria Rigaki, Sebastián García
2024	A Survey of Single Image Rain Removal Based on Deep Learning ACM Computing Surveys 2024 (4); by Zhipeng Su, Yixiong Zhang, Jianghong Shi, Xiao-Ping Zhang
2024	Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance ACM Computing Surveys 2024 (4); by Marcel André Hoffmann, Rainer Lasch
2024	Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review ACM Computing Surveys 2024 (4); by Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
2024	Explainable Deep Learning Methods in Medical Image Classification: A Survey ACM Computing Surveys 2024 (4); by Cristiano Patrício, João C. Neves, Luís F. Teixeira
2024	Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications ACM Computing Surveys 2024 (3); by Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa
2024	Deep Learning Approaches on Image Captioning: A Review ACM Computing Surveys 2024 (3); by Taraneh Ghandi, Hamidreza Pourreza, Hamidreza Mahyar
2024	Artificial Intelligence Applied to Software Testing: A Tertiary Study ACM Computing Surveys 2024 (3); by Domenico Amalfitano, Stefano Faralli, Jean Carlo Rossa Hauck, Santiago Matalonga, Damiano Distante
2024	A Survey on Deep Learning Based Forest Environment Sound Classification at the Edge ACM Computing Surveys 2024 (3); by Dulani Meedeniya, Isuru Ariyarathne, Meelan Bandara, Roshinie Jayasundara, Charith Perera
2024	Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues ACM Computing Surveys 2024 (2); by Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin
2024	Deep Learning for Zero-day Malware Detection and Classification: A Survey ACM Computing Surveys 2024 (2); by Fatemeh Deldar, Mahdi Abadi
2024	Offloading Machine Learning to Programmable Data Planes: A Systematic Survey ACM Computing Surveys 2024 (1); by Ricardo Parizotto, Bruno Loureiro Coelho, Diego Cardoso Nunes, Israat Haque, Alberto Schaeffer-Filho
2024	The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey ACM Computing Surveys 2024 (1); by Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen
2024	Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives ACM Computing Surveys 2024 (1); by Zhe Fu, Xi Niu, Mary Lou Maher
2024	Deep Learning-based Human Pose Estimation: A Survey ACM Computing Surveys 2024 (1); by Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
2024	Deep Learning for Variable Renewable Energy: A Systematic Review ACM Computing Surveys 2024 (1); by Janice Klaiber, Clemens van Dinther
2024	Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey ACM Computing Surveys 2024 (1); by Zhaolong Ning, Hao Hu, Xiaojie Wang, Lei Guo, Song Guo, Guoyin Wang, Xinbo Gao
2024	A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges ACM Computing Surveys 2024 (1); by Shulei Ji, Xinyu Yang, Jing Luo
2024	Impossibility Results in AI: A Survey ACM Computing Surveys 2024 (1); by Mario Brcic, Roman V. Yampolskiy

UX & Human Factors / ACM interactions

2024	Cutting Through the Code: Will AI Bring Efficiency or Reinforce Complexity? ACM interactions 2024 (6); by Jonathan Bean
2024	Adventures in AI Wonderland: How Children Are Shaping the Future of AI ACM interactions 2024 (6); by Eliza Kosoy, Emily Rose Reagan, Soojin Jeong
2024	Beyond 'Slumming It' - AI and the Real Lives of Global South Communities ACM interactions 2024 (6); by Matt Jones, Dani Kalarikalayil Raju, Jennifer Pearson, Thomas Reitmaier, Simon Robinson, Arka Majhi
2024	AI Through Gen Z: Partnerships Toward New Research Agendas ACM interactions 2024 (5); by Nora McDonald, Karla Badillo-Urquiola, Afsaneh Razi, John S. Seberger, Denise E. Agosto, Pamela J. Wisniewski
2024	UX for RAI: User Experience Meets Responsible AI ACM interactions 2024 (4); by Mikael Wiberg, Elizabeth F. Churchill
2024	Large Language Objects: The Design of Physical AI and Generative Experiences ACM interactions 2024 (4); by Marcelo Coelho, Jean-Baptiste Labrune
2024	Unmasking AI: Informing Authenticity Decisions by Labeling AI-Generated Content ACM interactions 2024 (4); by Olivia Burrus, Amanda Nicole Curtis, Laura Mariah Herman
2024	UX Matters: The Critical Role of UX in Responsible AI ACM interactions 2024 (4); by Q. Vera Liao, Mihaela Vorvoreanu, Hari Subramonyam, Lauren Wilcox
2024	Steaming Ahead: Will AI Amplify Electric Inequities? ACM interactions 2024 (4); by Jonathan Bean
2024	From Prompt Engineering to Collaborating: A Human-Centered Approach to AI Interfaces ACM interactions 2024 (3); by Tanya Kraljic, Michal Lahav
2024	Musing on AI and Art ACM interactions 2024 (3); by Alexander Reben
2024	The Inflammable Space Between AI and Art ACM interactions 2024 (3); by Daria Loi
2024	Speaking Human - Beyond Humanizing AI ACM interactions 2024 (3); by Elizabeth F. Churchill, Mikael Wiberg
2024	Reflections on Explainable AI for the Arts (XAIxArts) ACM interactions 2024 (1); by Nick Bryan-Kinns
2024	From Humans to AI: A Timely Debate on Human-AI Relations ACM interactions 2024 (1); by Elizabeth F. Churchill, Mikael Wiberg
2024	Applying HCAI in Developing Effective Human-AI Teaming: A Perspective from Human-AI Joint Cognitive Systems ACM interactions 2024 (1); by Wei Xu, Zaifeng Gao
2024	Simulating the Human in HCD with ChatGPT: Redesigning Interaction Design with AI ACM interactions 2024 (1); by Albrecht Schmidt, Passant Elagroudy, Fiona Draxler, Frauke Kreuter, Robin Welsch

UX & Human Factors / IEEE Computer Graphics & Applications

2024	Enhancing Virtual Reality Training Through Artificial Intelligence: A Case Study IEEE Computer Graphics & Applications 2024 (6); by Riccardo Giussani, Nicolò Dozio, Stefano Rigone, Luca Parenzan, Francesco Ferrise
2024	Quantum Machine Learning Playground IEEE Computer Graphics & Applications 2024 (5); by Pascal Debus, Sebastian Issel, Kilian Tscharke
2024	Nina Rajcic: Navigating Artificial Intelligence for a Meaningful Artistic Practice IEEE Computer Graphics & Applications 2024 (4); by Nina Rajcic, Bruce Donald Campbell, Francesca Samsel
2024	To Authenticity, and Beyond! Building Safe and Fair Generative AI Upon the Three Pillars of Provenance IEEE Computer Graphics & Applications 2024 (3); by John P. Collomosse, Andy Parsons
2024	Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023 IEEE Computer Graphics & Applications 2024 (3); by Angelos Chatzimparmpas, Kostiantyn Kucher, Andreas Kerren
2024	Generative AI for Visualization: Opportunities and Challenges IEEE Computer Graphics & Applications 2024 (2); by Rahul C. Basole, Timothy Major
2024	How Text-to-Image Generative AI Is Transforming Mediated Action IEEE Computer Graphics & Applications 2024 (2); by Henriikka Vartiainen, Matti Tedre
2024	Art and Artificial Intelligence IEEE Computer Graphics & Applications 2024 (2); by Bruce Donald Campbell, Nicholas R. Hedley, Aaron Hertzmann
2024	Testing the Capability of AI Art Tools for Urban Design IEEE Computer Graphics & Applications 2024 (2); by Connor Phillips, Junfeng Jiao, Emmalee Clubb

Computing (specialised) / IEEE Internet Computing

2024	Distributed Federated Deep Learning in Clustered Internet of Things Wireless Networks With Data Similarity-Based Client Participation IEEE Internet Computing 2024 (6); by Evangelia Fragkou, Eleftheria Chini, Maria Papadopoulou, Dimitrios K. Papakostas, Dimitrios Katsaros, Schahram Dustdar
2024	Knowledge Graphs of Driving Scenes to Empower the Emerging Capabilities of Neurosymbolic AI IEEE Internet Computing 2024 (6); by Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth
2024	Softwarized Networks in the Age of Generative Artificial Intelligence: Use Cases, Challenges, and Opportunities IEEE Internet Computing 2024 (6); by Prasad Calyam, Alexander Clemm, Ashish Pandey, Upasana Roy, Alexander Keller, Sajal K. Das, Kenneth L. Calvert
2024	Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study IEEE Internet Computing 2024 (5); by Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker, Yiannis Papadopoulos
2024	AI Design: A Responsible Artificial Intelligence Framework for Prefilling Impact Assessment Reports IEEE Internet Computing 2024 (5); by Edyta Paulina Bogucka, Marios Constantinides, Sanja Scepanovic, Daniele Quercia
2024	The Internet of Things in the Era of Generative AI: Vision and Challenges IEEE Internet Computing 2024 (5); by Xin Wang 0120, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari
2024	Toward a Programmable Humanizing Artificial Intelligence Through Scalable Stance-Directed Architecture IEEE Internet Computing 2024 (5); by Yusuf Mücahit Çetinkaya, Yeonjung Lee, Emre Külah, Ismail Hakki Toroslu, Michael A. Cowan, Hasan Davulcu
2024	Civilizing and Humanizing Artificial Intelligence in the Age of Large Language Models IEEE Internet Computing 2024 (5); by Amit P. Sheth, Kaushik Roy, Hemant Purohit, Amitava Das
2024	Machine Learning Data Market Based on Multiagent Systems IEEE Internet Computing 2024 (4); by Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
2024	Revisiting Edge AI: Opportunities and Challenges IEEE Internet Computing 2024 (4); by Tobias Meuser, Lauri Lovén, Monowar H. Bhuyan, Shishir G. Patil, Schahram Dustdar, Atakan Aral, Suzan Bayhan, Christian Becker, Eyal de Lara, Aaron Yi Ding, Janick Edinger, James Gross, Nitinder Mohan, Andy D. Pimentel, Etienne Rivière, Henning Schulzrinne, Pieter Simoens, Gürkan Solmaz, Michael Welzl
2024	Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines IEEE Internet Computing 2024 (3); by Ann Mary Justine Koomthanam, Aalap Tripathy, Sergey Serebryakov, Gyanaranjan Nayak, Martin Foltin, Suparna Bhattacharya
2024	The Role of Computer Science in Responsible AI Governance IEEE Internet Computing 2024 (3); by Virgílio A. F. Almeida, Jussara M. Almeida, Wagner Meira Jr.
2024	Distributed Quantum Machine Learning: Federated and Model-Parallel Approaches IEEE Internet Computing 2024 (2); by Jindi Wu, Tianjie Hu, Qun Li

Computing (specialised) / IEEE Intelligent Systems

2024	Neurosymbolic AI Approach to Attribution in Large Language Models IEEE Intelligent Systems 2024 (6); by Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth
2024	Artificial Intelligence-Based Video Saliency Prediction: Challenges and Trends IEEE Intelligent Systems 2024 (6); by Jiongzhi Lin, Baitao Huang, Fei Zhou
2024	To Thrive in the Artificial Intelligence Age, Stay Professionally Fit - Forever IEEE Intelligent Systems 2024 (6); by San Murugesan
2024	Lights Toward Adversarial Machine Learning: The Achilles Heel of Artificial Intelligence IEEE Intelligent Systems 2024 (5); by Luca Pajola, Mauro Conti
2024	The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives IEEE Intelligent Systems 2024 (5); by Jason Samuel Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, Dongwon Lee
2024	Neurosymbolic AI for Enhancing Instructability in Generative AI IEEE Intelligent Systems 2024 (5); by Amit P. Sheth, Vishal Pallagani, Kaushik Roy
2024	Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem IEEE Intelligent Systems 2024 (4); by Luca Nannini, Jose Maria Alonso-Moral, Alejandro Catalá, Manuel Lama, Senén Barro
2024	Causal Neurosymbolic AI: A Synergy Between Causality and Neurosymbolic Methods IEEE Intelligent Systems 2024 (3); by Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth
2024	Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? IEEE Intelligent Systems 2024 (2); by Mohammad Anas, Anam Saiyeda, Shahab Saquib Sohail, Erik Cambria, Amir Hussain
2024	Grounding From an AI and Cognitive Science Lens IEEE Intelligent Systems 2024 (2); by Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth
2024	Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How) IEEE Intelligent Systems 2024 (1); by Amit P. Sheth, Kaushik Roy
2024	Responsible AI: An Urgent Mandate IEEE Intelligent Systems 2024 (1); by Ricardo Baeza-Yates, Usama M. Fayyad
2024	An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence IEEE Intelligent Systems 2024 (1); by Roberto Confalonieri, Jose Maria Alonso-Moral

Hardware and Microprocessor Systems / IEEE Micro

2024	AMD XDNA NPU in Ryzen AI Processors IEEE Micro 2024 (6); by Alejandro Rico, Satyaprakash Pareek, Javier Cabezas, David Clarke, Baris Özgül, Francisco Barat, Yao Fu, Stephan Münz, Dylan Stuart, Patrick Schlangen, Pedro Duarte, Sneha Date, Indrani Paul, Jian Weng, Sonal Santan, Vinod Kathail, Ashish Sirasao, Juanjo Noguera
2024	Quantifying CO 2 Emission Reduction Through Spatial Partitioning in Deep Learning Recommendation System Workloads IEEE Micro 2024 (5); by Andrei Bersatti, Euna Kim, Hyesoon Kim
2024	Beyond Efficiency: Scaling AI Sustainably IEEE Micro 2024 (5); by Carole-Jean Wu, Bilge Acun, Ramya Raghavendra, Kim M. Hazelwood
2024	Navigating Applications Development in Generative AI IEEE Micro 2024 (4); by Shane Greenstein
2024	The Worlds I See: Curiosity, Exploration, and the Discovery at the Dawn of AI - Fei-Fei Li (New York, NY, USA: Flatiron Books, 2023, 336 pp.) IEEE Micro 2024 (3); by Shane M. Greenstein
2024	Combining Multiple Tiny Machine Learning Models for Multimodal Context-Aware Stress Recognition on Constrained Microcontrollers IEEE Micro 2024 (3); by Michael Gibbs, Kieran Woodward, Eiman Kanjo
2024	AI and Memory Wall IEEE Micro 2024 (3); by Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer
2024	Enabling Artificial Intelligence Supercomputers With Domain-Specific Networks IEEE Micro 2024 (2); by Dennis Abts, John Kim

Computing (specialised) / IEEE Security & Privacy

2024	AI Code Generators for Security: Friend or Foe? IEEE Security & Privacy 2024 (5); by Roberto Natella, Pietro Liguori, Cristina Improta, Bojan Cukic, Domenico Cotroneo
2024	Synthetic Realities and Artificial Intelligence-Generated Contents IEEE Security & Privacy 2024 (4); by Daniel Moreira, Sébastien Marcel, Anderson Rocha
2024	Understanding the Impact of AI-Generated Deepfakes on Public Opinion, Political Discourse, and Personal Security in Social Media IEEE Security & Privacy 2024 (4); by Prakash Laxman Kharvi
2024	Unleashing Malware Analysis and Understanding With Generative AI IEEE Security & Privacy 2024 (3); by Yeali S. Sun, Zhi-Kang Chen, Yi-Ting Huang, Meng Chang Chen
2024	Synthetic Realities and Artificial Intelligence-Generated Contents IEEE Security & Privacy 2024 (3); by Daniel Moreira, Sébastien Marcel, Anderson Rocha
2024	Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images IEEE Security & Privacy 2024 (3); by Luca Maiano, Alexandra Benova, Lorenzo Papa, Mara Stockner, Michela Marchetti, Gianmarco Convertino, Giuliana Mazzoni, Irene Amerini
2024	Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn't There yet IEEE Security & Privacy 2024 (3); by Diangarti Tariang, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva
2024	AI Safety: A Poisoned Chalice? IEEE Security & Privacy 2024 (2); by Helen Nissenbaum

UX & Human Factors / IEEE Multimedia

2024	JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach IEEE Multimedia 2024 (4); by Elena Alshina, João Ascenso, Touradj Ebrahimi
2024	High-Performance Embedded System Design for QR Code Recognition With Deep Learning IEEE Multimedia 2024 (4); by Wencheng Gu, Li Sun, Zhipeng Jiang, Kexue Sun
2024	Generative AI for 3-D Point Clouds IEEE Multimedia 2024 (2); by Minhas Kamal, Balakrishnan Prabhakaran

Computing (specialised) / IEEE Pervasive Computing

2024	Creating Super-Hearing Capabilities With Real-Time AI IEEE Pervasive Computing 2024 (4); by Malek Itani, Bandhav Veluri, Tuochao Chen, Shyamnath Gollakota
2024	The Future of Consumer Edge-AI Computing IEEE Pervasive Computing 2024 (3); by Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
2024	Introduction to Pervasive AI IEEE Pervasive Computing 2024 (3); by Florian Michahelles, Stefan Schneegass
2024	Integrating Generative Artificial Intelligence to a Project-Based Tangible Interaction Course IEEE Pervasive Computing 2024 (1); by Orit Shaer, Angelora Cooper

Enterprise Computing / IEEE IT Professional

2024	Drift Detection for Black-Box Deep Learning Models IEEE IT Professional 2024 (2); by Luca Piano, Fabio Garcea, Andrea Cavallone, Ignacio Aparicio Vazquez, Lia Morra, Fabrizio Lamberti
2024	An Ethical Trio - AI, Cybersecurity, and Coding at Scale IEEE IT Professional 2024 (2); by George F. Hurlburt
2024	Navigating the Landscape of Generative AI: Investment Trends, Industry Growth, and Economic Effects IEEE IT Professional 2024 (2); by Nir Kshetri
2024	Masterminds of Generative AI: Vaswani and Altman IEEE IT Professional 2024 (2); by George O. Strawn
2024	StyleGAN-Based Advanced Semantic Segment Encoder for Generative AI IEEE IT Professional 2024 (2); by Byungseok Kang, Youngjae Jo
2024	Spectrum-Based Hybrid Deep Learning for Intact Prediction of Postharvest Avocado Ripeness IEEE IT Professional 2024 (6); by Sumitra Nuanmeesri
2024	Harnessing Generative Artificial Intelligence: A Game-Changer for Small and Medium Enterprises IEEE IT Professional 2024 (6); by Nir Kshetri, Diana Rojas-Torres, Mamduh M. Hanafi, Mousa Al-Kfairy, Gayle O'Keefe, Nathan Feeney
2024	Generative AI in Advertising IEEE IT Professional 2024 (5); by Nir Kshetri
2024	Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems IEEE IT Professional 2024 (5); by Javier Conde, Jose Andrés Muñoz-Arcentales, Álvaro Alonso, Joaquín Salvachúa, Gabriel Huecas
2024	Enhancing Aluminum Extrusion Quality via AI-Driven Temperature Prediction in Cyberphysical Systems for Industry 4.0 IEEE IT Professional 2024 (5); by Yao-Hsin Chou, Chien-Ming Chen, Yun-Ting Lai, Shu-Yu Kuo, Yu-Chi Jiang, Fan-Hsun Tseng
2024	Empowering African Development: The Transformative Potential of Artificial Intelligence Across Sectors IEEE IT Professional 2024 (4); by Nir Kshetri
2024	Artificial Intelligence in Higher Education: Community Perceptions at a Large U.S. University IEEE IT Professional 2024 (4); by Amir Dabirian, Su Swarat
2024	4W1H in Resource Distribution in Artificial Intelligence for Emergency Logistics IEEE IT Professional 2024 (4); by Xuefeng Xie, Wanyi Zhang, Lin Wang
2024	Can AI Fix Distracted CFO Syndrome? It's Still an Open Question IEEE IT Professional 2024 (3); by Noah P. Barsky
2024	Trust and Dependability in Blockch-AI-n-Based Medical Internet of Things Applications: Research Challenges and Future Directions IEEE IT Professional 2024 (3); by Ellis Solaiman, Christa Awad
2024	Where Deep Learning and Generative AI Started: Masterminds of Artificial Neural Networks - McCulloch, Pitts, and Rosenblatt IEEE IT Professional 2024 (3); by George O. Strawn
2024	The Environmental Impact of Artificial Intelligence IEEE IT Professional 2024 (3); by Nir Kshetri

Software Engineering / IEEE Software

2024	Generative AI to Generate Test Data Generators IEEE Software 2024 (6); by Benoit Baudry, Khashayar Etemadi, Sen Fang, Yogya Gamage, Yi Liu, Yuxin Liu, Martin Monperrus, Javier Ron, André Silva, Deepika Tiwari
2024	Generative AI Copilot to Support Safety Analyses of Human-Robot Collaborations: Hazard Operability Analysis and GPT-4 IEEE Software 2024 (6); by Philipp Kranz, Fabian Schirmer, Tobias Kaupp, Marian Daun
2024	The Fine Balance Between Helping With Your Job and Taking It: AI Code Assistants Come to the Fore IEEE Software 2024 (6); by Cleidson Ronald Botelho de Souza, Gema Rodríguez-Pérez, Manaal Basha, Dongwook Yoon, Ivan Beschastnikh
2024	Ipek Ozkaya on Generative AI for Software Architecture IEEE Software 2024 (6); by Priyanka Raghavan
2024	Generative AI: Redefining the Future of Software Engineering IEEE Software 2024 (6); by Anita D. Carleton, Davide Falessi, Hongyu Zhang, Xin Xia
2024	AI Over-Hype: A Dangerous Threat (and How to Fix It) IEEE Software 2024 (6); by Brittany Johnson, Tim Menzies
2024	Generative AI in the Software Modeling Classroom: An Experience Report With ChatGPT and Unified Modeling Language IEEE Software 2024 (6); by Javier Cámara, Javier Troya, Julio Montes-Torres, Francisco J. Jaime
2024	Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems IEEE Software 2024 (6); by Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle
2024	Tales From the Trenches: Expectations and Challenges From Practice for Code Review in the Generative AI Era IEEE Software 2024 (6); by Nicole Davila, Jorge Melegati, Igor Wiese
2024	Generative AI for Software Security Analysis: Fundamentals, Applications, and Challenges IEEE Software 2024 (6); by Ao Ding, Gaolei Li, Xiaoyu Yi, Xi Lin, Jianhua Li, Chaofeng Zhang
2024	Understanding and Designing for Trust in AI-Powered Developer Tooling IEEE Software 2024 (6); by Ambar Murillo, Alberto Elizondo, Sarah D'Angelo, Adam Brown, Ugam Kumar, Quinn Madison, Andrew Macvean
2024	Bringing Software Engineering Discipline to the Development of AI-Enabled Systems IEEE Software 2024 (5); by Miroslaw Staron, Silvia Abrahão, Grace A. Lewis, Henry Muccini, Chetan Honnenahalli
2024	Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems IEEE Software 2024 (5); by Tim Menzies, Brittany Johnson
2024	Decentralized Governance-Driven Architecture for Designing Foundation-Model-Based Systems: Exploring the Role of Blockchain in Responsible AI IEEE Software 2024 (5); by Yue Liu, Qinghua Lu, Liming Zhu, Hye-Young Paik
2024	The State of Documentation Practices of Third-Party Machine Learning Models and Datasets IEEE Software 2024 (5); by Ernesto Lang Oreamuno, Rohan Faiyaz Khan, Abdul Ali Bangash, Catherine Stinson, Bram Adams
2024	Hints for Generative AI Software Development IEEE Software 2024 (5); by Christof Ebert, John Pravin Arockiasamy, Lennard Hettich, Michael Weyrich
2024	Toward Optimal Psychological Functioning in AI-Driven Software Engineering Tasks: The Software Evaluation for Well-Being and Optimal Psychological Functioning in a Context-Aware Environment Assessment Framework IEEE Software 2024 (4); by Oussama Ben Sghaier, Jean-Sebastien Boudrias, Houari A. Sahraoui
2024	Design Patterns for Machine Learning-Based Systems With Humans in the Loop IEEE Software 2024 (4); by Jakob Smedegaard Andersen, Walid Maalej
2024	Pair Programming With Generative AI IEEE Software 2024 (3); by Diomidis Spinellis
2024	What an AI-Embracing Software Engineering Curriculum Should Look Like: An Empirical Study IEEE Software 2024 (2); by Natasha Randall, Dennis Wäckerle, Nils Stein, Dennis Goßler, Stefan Bente
2024	SE4AI: A Training Program Considering Technical, Social, and Professional Aspects of AI-Based Software Systems IEEE Software 2024 (2); by Ahmad Abdellatif, Gita Ghiasi, Diego Elias Costa, Emad Shihab, Tanja Tajmel
2024	Generative AI Is Changing How and What We Learn IEEE Software 2024 (2); by Sigrid Eldh
2024	Testing, Debugging, and Log Analysis With Modern AI Tools IEEE Software 2024 (2); by Miroslaw Staron, Silvia Abrahão, Gregory Gay, Alexander Serebrenik
2024	The Future of Software Engineering Education and Training in the Age of AI IEEE Software 2024 (2); by Bastian Tenbergen, Stephan Krusche
2024	Generative Artificial Intelligence Assistants in Software Development Education: A Vision for Integrating Generative Artificial Intelligence Into Educational Practice, Not Instinctively Defending Against It IEEE Software 2024 (2); by Christopher Bull, Ahmed Kharrufa
2024	Teaching Engineering of AI-Intensive Systems IEEE Software 2024 (2); by Atif Mashkoor, Wesley K. G. Assunção, Alexander Egyed
2024	Training Future Machine Learning Engineers: A Project-Based Course on MLOps IEEE Software 2024 (2); by Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta
2024	Navigating the Upcoming European Union AI Act IEEE Software 2024 (1); by Matthias Wagner, Markus Borg, Per Runeson

Software Engineering / ACM queue (FREE)

2024	You Don't Know Jack About AI: And ChatGPT probably doesn't either ACM queue (FREE) 2024 (5); by Sonja Johnson-Yu, Sanket Shah
2024	Program Merge: What's Deep Learning Got to Do with It?: A discussion with Shuvendu Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Meijer and Terry Coatta ACM queue (FREE) 2024 (4); by Shuvendu K. Lahiri, Alexey Svyatkovskiy, Christian Bird, Erik Meijer, Terry Coatta
2024	Toward Effective AI Support for Developers: A survey of desires and concerns ACM queue (FREE) 2024 (3); by Mansi Khemka, Brian Houck
2024	Trustworthy AI using Confidential Federated Learning: Federated learning and confidential computing are not competing technologies ACM queue (FREE) 2024 (2); by Jinnan Guo, Peter R. Pietzuch, Andrew Paverd, Kapil Vaswani

2023 (1050)

Computing (general) / ACM Computing Surveys

2023	A Survey of AI-enabled Dynamic Manufacturing Scheduling: From Directed Heuristics to Autonomous Learning ACM Computing Surveys 2023 (14); by Jiepin Ding, Mingsong Chen, Ting Wang, Junlong Zhou, Xin Fu, Keqin Li
2023	A Survey of Threats to Research Literature-dependent Medical AI Solutions ACM Computing Surveys 2023 (14); by Shalini Saini, Nitesh Saxena
2023	Combining Machine Learning and Semantic Web: A Systematic Mapping Study ACM Computing Surveys 2023 (14); by Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen
2023	I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences ACM Computing Surveys 2023 (14); by Daryna Oliynyk, Rudolf Mayer, Andreas Rauber
2023	Interpreting Adversarial Examples in Deep Learning: A Review ACM Computing Surveys 2023 (14); by Sicong Han, Chenhao Lin, Chao Shen, Qian Wang, Xiaohong Guan
2023	A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning ACM Computing Surveys 2023 (13); by Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao
2023	What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective ACM Computing Surveys 2023 (13); by Zeyu Tang, Jiji Zhang, Kun Zhang
2023	From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI ACM Computing Surveys 2023 (13); by Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
2023	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning ACM Computing Surveys 2023 (13); by Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2023	AI-Empowered Persuasive Video Generation: A Survey ACM Computing Surveys 2023 (13); by Chang Liu, Han Yu
2023	Machine Learning for Software Engineering: A Tertiary Study ACM Computing Surveys 2023 (12); by Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis
2023	Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better ACM Computing Surveys 2023 (12); by Gaurav Menghani
2023	Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging ACM Computing Surveys 2023 (12); by Robert Hertel, Rachid Benlamri
2023	Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues ACM Computing Surveys 2023 (12); by Arash Heidari, Nima Jafari Navimipour, Mehmet Unal, Guodao Zhang
2023	Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective ACM Computing Surveys 2023 (12); by Caesar Wu, Rui Zhang, Ramamohanarao Kotagiri, Pascal Bouvry
2023	SoK: Deep Learning-based Physical Side-channel Analysis ACM Computing Surveys 2023 (11); by Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina
2023	AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey ACM Computing Surveys 2023 (11); by Sampath Rajapaksha, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Garikayi Madzudzo, Madeline Cheah
2023	Virtual Reality Solutions Employing Artificial Intelligence Methods: A Systematic Literature Review ACM Computing Surveys 2023 (10); by Tainã Ribeiro de Oliveira, Brenda Biancardi Rodrigues, Matheus Moura da Silva, Rafael Antonio N. Spinassé, Gabriel Giesen Ludke, Mateus Ruy Soares Gaudio, Guilherme Iglesias Rocha Gomes, Luan Guio Cotini, Daniel Vargens, Marcelo Queiroz Schimidt, Rodrigo Varejão Andreão, Mário Mestria
2023	Open-world Machine Learning: Applications, Challenges, and Opportunities ACM Computing Surveys 2023 (10); by Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury, Santosh Singh Rathore
2023	Survey: Exploiting Data Redundancy for Optimization of Deep Learning ACM Computing Surveys 2023 (10); by Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen
2023	Trustworthy AI: From Principles to Practices ACM Computing Surveys 2023 (9); by Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou
2023	Edge Computing with Artificial Intelligence: A Machine Learning Perspective ACM Computing Surveys 2023 (9); by Haochen Hua, Yutong Li, Tonghe Wang, Nanqing Dong, Wei Li, Junwei Cao
2023	Explainable AI (XAI): Core Ideas, Techniques, and Solutions ACM Computing Surveys 2023 (9); by Rudresh Dwivedi, Devam Dave, Het Naik, Smiti Singhal, Omer F. Rana, Pankesh Patel, Bin Qian, Zhenyu Wen, Tejal Shah, Graham Morgan, Rajiv Ranjan
2023	Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems ACM Computing Surveys 2023 (9); by Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai
2023	Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity ACM Computing Surveys 2023 (8); by Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2023	A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning ACM Computing Surveys 2023 (8); by Zhiyi Tian, Lei Cui, Jie Liang, Shui Yu
2023	Deep Learning for Android Malware Defenses: A Systematic Literature Review ACM Computing Surveys 2023 (8); by Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2023	Deep Learning in Sentiment Analysis: Recent Architectures ACM Computing Surveys 2023 (8); by Tariq Abdullah, Ahmed Ahmet
2023	Taxonomy of Machine Learning Safety: A Survey and Primer ACM Computing Surveys 2023 (8); by Sina Mohseni, Haotao Wang, Chaowei Xiao, Zhiding Yu, Zhangyang Wang, Jay Yadawa
2023	A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning ACM Computing Surveys 2023 (8); by Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar
2023	AUC Maximization in the Era of Big Data and AI: A Survey ACM Computing Surveys 2023 (8); by Tianbao Yang, Yiming Ying
2023	A Survey on Dynamic Fuzzy Machine Learning ACM Computing Surveys 2023 (7); by Li Liu, Fanzhang Li
2023	Asset Management in Machine Learning: State-of-research and State-of-practice ACM Computing Surveys 2023 (7); by Samuel Idowu, Daniel Strüber, Thorsten Berger
2023	Threats to Training: A Survey of Poisoning Attacks and Defenses on Machine Learning Systems ACM Computing Surveys 2023 (7); by Zhibo Wang, Jingjing Ma, Xue Wang, Jiahui Hu, Zhan Qin, Kui Ren
2023	Challenges in Deploying Machine Learning: A Survey of Case Studies ACM Computing Surveys 2023 (6); by Andrei Paleyes, Raoul-Gabriel Urma, Neil D. Lawrence
2023	Deep Learning for Time Series Forecasting: Tutorial and Literature Survey ACM Computing Surveys 2023 (6); by Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
2023	Multi-document Summarization via Deep Learning Techniques: A Survey ACM Computing Surveys 2023 (5); by Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng
2023	Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats ACM Computing Surveys 2023 (5); by Zhiyan Chen, Jinxin Liu, Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Petar Djukic
2023	Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges ACM Computing Surveys 2023 (5); by Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia
2023	Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective ACM Computing Surveys 2023 (4); by Wu Liu, Qian Bao, Yu Sun, Tao Mei
2023	Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview ACM Computing Surveys 2023 (4); by Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He
2023	Socially Enhanced Situation Awareness from Microblogs Using Artificial Intelligence: A Survey ACM Computing Surveys 2023 (4); by Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read
2023	Machine Learning for Computer Systems and Networking: A Survey ACM Computing Surveys 2023 (4); by Marios Evangelos Kanakis, Ramin Khalili, Lin Wang
2023	Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems ACM Computing Surveys 2023 (4); by Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2023	A Review on Fairness in Machine Learning ACM Computing Surveys 2023 (3); by Dana Pessach, Erez Shmueli
2023	AI in Finance: Challenges, Techniques, and Opportunities ACM Computing Surveys 2023 (3); by Longbing Cao
2023	A Survey of Machine Learning for Computer Architecture and Systems ACM Computing Surveys 2023 (3); by Nan Wu, Yuan Xie
2023	Deep Learning-based Face Super-resolution: A Survey ACM Computing Surveys 2023 (2); by Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma
2023	A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data ACM Computing Surveys 2023 (2); by Shallu Sharma, Pravat Kumar Mandal
2023	Adversarial Machine Learning in Image Classification: A Survey Toward the Defender's Perspective ACM Computing Surveys 2023 (2); by Gabriel Resende Machado, Eugênio Silva, Ronaldo Ribeiro Goldschmidt
2023	Artificial Intelligence Security: Threats and Countermeasures ACM Computing Surveys 2023 (2); by Yupeng Hu, Wenxin Kuang, Zheng Qin, Kenli Li, Jiliang Zhang, Yansong Gao, Wenjia Li, Keqin Li
2023	Tackling Climate Change with Machine Learning ACM Computing Surveys 2023 (2); by David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
2023	A Survey on Deep Learning for Human Mobility ACM Computing Surveys 2023 (2); by Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo
2023	Gait Recognition Based on Deep Learning: A Survey ACM Computing Surveys 2023 (2); by Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
2023	Trustworthy Artificial Intelligence: A Review ACM Computing Surveys 2023 (2); by Davinder Kaur, Suleyman Uslu, Kaley J. Rittichier, Arjan Durresi

Computing (general) / Communications of the ACM

2023	Revamping Python for an AI World Communications of the ACM 2023 (12); by Neil Savage
2023	There Was No 'First AI Winter' Communications of the ACM 2023 (12); by Thomas Haigh
2023	Privacy in the Age of AI Communications of the ACM 2023 (11); by Sauvik Das, Hao-Ping Hank Lee, Jodi Forlizzi
2023	Machine Learning Sensors Communications of the ACM 2023 (11); by Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi
2023	Legal Challenges to Generative AI, Part II Communications of the ACM 2023 (11); by Pamela Samuelson
2023	Controlling AI Communications of the ACM 2023 (10); by Gary Marcus
2023	Generative AI as a New Innovation Platform Communications of the ACM 2023 (10); by Michael A. Cusumano
2023	Dilemma of the Artificial Intelligence Regulatory Landscape Communications of the ACM 2023 (9); by Weiyue Wu, Shaoshan Liu
2023	Cargo Cult AI Communications of the ACM 2023 (9); by Edlyn V. Levine
2023	Humble AI Communications of the ACM 2023 (9); by Bran Knowles, Jason D'Cruz, John T. Richards, Kush R. Varshney
2023	The Carbon Footprint of Artificial Intelligence Communications of the ACM 2023 (8); by Keith Kirkpatrick
2023	AI and Society: Ethics, Trust, and Cooperation Communications of the ACM 2023 (8); by Benjamin Kuipers
2023	The Principles of Data-Centric AI Communications of the ACM 2023 (8); by Mohammad Hossein Jarrahi, Ali Memariani, Shion Guha
2023	3D Modeling Draws on AI Communications of the ACM 2023 (8); by Samuel Greengard
2023	Building and Nurturing AI Development in Vietnam Communications of the ACM 2023 (7); by Hung Bui, Nguyen Minh Le, Dat Quoc Nguyen, Linh Pham, Dinh Q. Phung
2023	Unleashing the Power of Deep Learning Communications of the ACM 2023 (7); by Vivienne Sze
2023	Digital Twins and Dependency/Constraint-Aware AI for Digital Manufacturing Communications of the ACM 2023 (7); by Dimitrios Georgakopoulos, Prem Prakash Jayaraman
2023	Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing Communications of the ACM 2023 (7); by Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Weiyun Yau
2023	Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach Communications of the ACM 2023 (7); by Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet
2023	Legal Challenges to Generative AI, Part I Communications of the ACM 2023 (7); by Pamela Samuelson
2023	South Korea's Nationwide Effort for AI Semiconductor Industry Communications of the ACM 2023 (7); by Ji-Hoon Kim, Sungyeob Yoo, Joo-Young Kim
2023	Human-AI Cooperation to Tackle Misinformation and Polarization Communications of the ACM 2023 (7); by Damiano Spina, Mark Sanderson, Daniel Angus, Gianluca Demartini, Dana McKay, Lauren L. Saling, Ryen W. White
2023	Accelerating Optical Communications with AI Communications of the ACM 2023 (7); by Chris Edwards
2023	AI in the Enterprise Communications of the ACM 2023 (6); by Doug Meil
2023	Can Generative AI Bots Be Trusted? Communications of the ACM 2023 (6); by Peter J. Denning
2023	Conjoined Twins: Artificial Intelligence and the Invention of Computer Science Communications of the ACM 2023 (6); by Thomas Haigh
2023	ChatGPT, Can You Tell Me a Story? An Exercise in Challenging the True Creativity of Generative AI Communications of the ACM 2023 (5); by Ralph Raiola
2023	Artificial Intelligence for Materials Discovery Communications of the ACM 2023 (4); by Don Monroe
2023	AI Rewrites Coding Communications of the ACM 2023 (4); by Samuel Greengard
2023	Hoping for the Best as AI Evolves Communications of the ACM 2023 (4); by Gary Marcus
2023	Contracting for Artificial Intelligence Communications of the ACM 2023 (4); by Mari Sako
2023	Toward Practices for Human-Centered Machine Learning Communications of the ACM 2023 (3); by Stevie Chancellor
2023	The AI Tech-Stack Model Communications of the ACM 2023 (3); by Rua-Huan Tsaih, Hsin-Lu Chang, Chih-Chun Hsu, David C. Yen
2023	A Philosopher's Daughter Navigates a Career in AI Communications of the ACM 2023 (3); by Nuria Oliver
2023	AI and Neurotechnology: Learning from AI Ethics to Address an Expanded Ethics Landscape Communications of the ACM 2023 (3); by Sara Berger, Francesca Rossi
2023	Software Engineering of Machine Learning Systems Communications of the ACM 2023 (2); by Charles Isbell, Michael L. Littman, Peter Norvig
2023	Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning Communications of the ACM 2023 (2); by Martin T. Vechev
2023	Building Machine Learning Models Like Open Source Software Communications of the ACM 2023 (2); by Colin Raffel
2023	Ethical AI is Not about AI Communications of the ACM 2023 (2); by Deborah G. Johnson, Mario Verdicchio
2023	Can AI Demonstrate Creativity? Communications of the ACM 2023 (2); by Keith Kirkpatrick
2023	Making AI Fair, and How to Use It Communications of the ACM 2023 (1); by Marc Rotenberg, Jeremy Roschelle
2023	The AI Ethicist's Dirty Hands Problem Communications of the ACM 2023 (1); by Henrik Skaug Sætra, Mark Coeckelbergh, John Danaher
2023	Actionable Auditing Revisited: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products Communications of the ACM 2023 (1); by Inioluwa Deborah Raji, Joy Buolamwini

Computing (general) / IEEE Computer

2023	Generative Artificial Intelligence and the Economics of Effective Prompting IEEE Computer 2023 (12); by Nir Kshetri
2023	Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning? IEEE Computer 2023 (12); by Ying-Dar Lin, Yuan-Cheng Lai, Didik Sudyana, Ren-Hung Hwang
2023	Authorship and Peer Review in the Era of Artificial Intelligence IEEE Computer 2023 (12); by Carlos Henrique C. Duarte
2023	Strengthening and Democratizing Artificial Intelligence Research and Development IEEE Computer 2023 (11); by Manish Parashar, Tess DeBlanc-Knowles, Erwin P. Gianchandani, Lynne E. Parker
2023	Connecting AI: Merging Large Language Models and Knowledge Graph IEEE Computer 2023 (11); by Mladan Jovanovic, Mark Campbell
2023	Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach IEEE Computer 2023 (11); by Allen-Jasmin Farcas, Radu Marculescu
2023	A System Engineering Approach to AI Security and Safety IEEE Computer 2023 (11); by Fariborz Farahmand
2023	Assuring Safety-Critical Machine Learning-Enabled Systems: Challenges and Promise IEEE Computer 2023 (9); by Alwyn E. Goodloe
2023	Navigating Foreign Language-Taught Degrees: Embracing Artificial Intelligence-Driven Language Translators to Overcome Linguistic Challenges IEEE Computer 2023 (9); by Varun Gupta, Chetna Gupta
2023	Embedded Artificial Intelligence: Intelligence on Devices IEEE Computer 2023 (9); by Hsiao-Ying Lin
2023	The Economics of Generative Artificial Intelligence in the Academic Industry IEEE Computer 2023 (8); by Nir Kshetri
2023	Deep Learning on Mobile Devices With Neural Processing Units IEEE Computer 2023 (8); by Tianxiang Tan, Guohong Cao
2023	Algorithmic Nudge: An Approach to Designing Human-Centered Generative Artificial Intelligence IEEE Computer 2023 (8); by Donghee Shin, Norita B. Ahmad
2023	Detecting Artificial Intelligence: A New Cyberarms Race Begins IEEE Computer 2023 (8); by Mark Campbell, Mladan Jovanovic
2023	A Scaled Multiyear Responsible Artificial Intelligence Impact Assessment IEEE Computer 2023 (8); by Sean McGregor
2023	Green-IN Machine Learning at a Glance IEEE Computer 2023 (6); by María Gutiérrez, María Ángeles Moraga, Félix García, Coral Calero
2023	Generative Artificial Intelligence and the Education Sector IEEE Computer 2023 (6); by Norita B. Ahmad, San Murugesan, Nir Kshetri
2023	Human-Centered AI: A Framework for Green and Sustainable AI IEEE Computer 2023 (6); by Donghee Shin, Emily Y. Shin
2023	Trustworthy AI - Part II IEEE Computer 2023 (5); by Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock
2023	A Framework for Trustworthy AI in Credit Risk Management: Perspectives and Practices IEEE Computer 2023 (5); by Sourav Mazumder, Subhankar Dhar, Avinash Asthana
2023	Documenting High-Risk AI: A European Regulatory Perspective IEEE Computer 2023 (5); by Isabelle Hupont, Marina Micheli, Blagoj Delipetrev, Emilia Gómez, Josep Soler Garrido
2023	Data-Centric Artificial Intelligence, Preprocessing, and the Quest for Transformative Artificial Intelligence Systems Development IEEE Computer 2023 (5); by Abdul Majeed, Seong Oun Hwang
2023	The Rise of Generative Artificial Intelligence and Its Impact on Education: The Promises and Perils IEEE Computer 2023 (5); by San Murugesan, Aswani Kumar Cherukuri
2023	Trustworthy AI That Engages Humans as Partners in Teaching and Learning IEEE Computer 2023 (5); by Richard Jiarui Tong, Timothy Xueqian Lee
2023	Functional Analogies Increase Trust in Black-Box AI Systems Among Lay Consumers: The Case of GeNose C-19 IEEE Computer 2023 (5); by Elizabeth Demissie Degefe, Yulius Denny Prabowo, Krishna Savani, Abhishek Sheetal
2023	Quality Attributes of Trustworthy Artificial Intelligence in Normative Documents and Secondary Studies: A Preliminary Review IEEE Computer 2023 (4); by Gongyuan Li, Bohan Liu, He Zhang
2023	Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? IEEE Computer 2023 (4); by Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh
2023	Quantum Cognition: A Cognitive Architecture for Human-AI and In-Memory Computing IEEE Computer 2023 (4); by Fariborz Farahmand
2023	AI Accountability: Approaches, Affecting Factors, and Challenges IEEE Computer 2023 (4); by Ashwin Kumar Raja, Jianlong Zhou
2023	Software Engineering for Responsible AI IEEE Computer 2023 (4); by Qinghua Lu, Liming Zhu, Jon Whittle, James Bret Michael
2023	Tailoring Requirements Engineering for Responsible AI IEEE Computer 2023 (4); by Walid Maalej, Yen Dieu Pham, Larissa Chazette
2023	Software Architecture for Responsible Artificial Intelligence Systems: Practice in the Digitization of Industrial Drawings IEEE Computer 2023 (4); by Zhicheng Bao, Weishan Zhang, Xingjie Zeng, Hongwei Zhao, Cihao Dong, Yuming Nie, Yuru Liu, Yuange Liu, Junzhong Wu
2023	A Trustworthy View on Explainable Artificial Intelligence Method Evaluation IEEE Computer 2023 (4); by Ding Li, Yan Liu, Jun Huang, Zerui Wang
2023	Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales IEEE Computer 2023 (4); by Kin Long Kelvin Lee, Nalini Kumar
2023	Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems IEEE Computer 2023 (3); by Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
2023	AI for Water IEEE Computer 2023 (3); by Feras A. Batarseh, Ajay Kulkarni
2023	A Survey on Deep Learning Resilience Assessment Methodologies IEEE Computer 2023 (2); by Annachiara Ruospo, Ernesto Sánchez, Lucas Matana Luza, Luigi Dilillo, Marcello Traiola, Alberto Bosio
2023	Wasabi: A Conceptual Model for Trustworthy Artificial Intelligence IEEE Computer 2023 (2); by Amika M. Singh, Munindar P. Singh
2023	Trustworthy AI - Part 1 IEEE Computer 2023 (2); by Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock
2023	Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain IEEE Computer 2023 (2); by David Fernández Llorca, Emilia Gómez
2023	Three Levels of AI Transparency IEEE Computer 2023 (2); by Prahalad Kashyap Haresamudram, Stefan Larsson, Fredrik Heintz
2023	AI Maintenance: A Robustness Perspective IEEE Computer 2023 (2); by Pin-Yu Chen, Payel Das
2023	Standing on the Shoulders of AI Giants IEEE Computer 2023 (1); by Hsiao-Ying Lin

Software Engineering / IEEE Software

2023	Commands as AI Conversations IEEE Software 2023 (6); by Diomidis Spinellis
2023	Artificial Intelligence for Cybersecurity IEEE Software 2023 (6); by Christof Ebert, Maximilian Beck
2023	Focusing on Developers in the Era of AI and ML IEEE Software 2023 (6); by Silvia Abrahão, Miroslaw Staron, Alexander Serebrenik, Birgit Penzenstadler, Rafael Prikladnicki, Henry Muccini
2023	Augmented Agile: Human-Centered AI-Assisted Software Management IEEE Software 2023 (4); by Rashina Hoda, Hoa Khanh Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, Margaret-Anne D. Storey
2023	The Next Frontier in Software Development: AI-Augmented Software Development Processes IEEE Software 2023 (4); by Ipek Ozkaya
2023	Generative AI for Software Practitioners IEEE Software 2023 (4); by Christof Ebert, Panos Louridas
2023	How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik IEEE Software 2023 (3); by Tim Menzies
2023	Responsible-AI-by-Design: A Pattern Collection for Designing Responsible Artificial Intelligence Systems IEEE Software 2023 (3); by Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle
2023	AI, Tech, Energy, and Collaboration IEEE Software 2023 (3); by Birgit Penzenstadler, Miroslaw Staron, Silvia Abrahão, Lorin Hochstein
2023	Explainable AI for SE: Challenges and Future Directions IEEE Software 2023 (3); by Chakkrit Tantithamthavorn, Jürgen Cito, Hadi Hemmati, Satish Chandra
2023	Pipeline Infrastructure Required to Meet the Requirements on AI IEEE Software 2023 (1); by Markus Borg

Enterprise Computing / IEEE IT Professional

2023	Nothing Is Harder to Resist Than the Temptation of AI IEEE IT Professional 2023 (6); by Andrew Park, Jan Kietzmann, Jayson Andrew Killoran, Yuanyuan Gina Cui, Patrick van Esch, Amir Dabirian
2023	Smart Helmet: Combining Sensors, AI, Augmented Reality, and Personal Protection to Enhance First Responders' Situational Awareness IEEE IT Professional 2023 (6); by Anaida Fernández-García, Xabier Oregui Biain, Konstantinos Lingos, Konstantinos Konstantoudakis, Alberto Belmonte-Hernández, Izar Azpiroz Iragorri, Dimitrios Zarpalas
2023	An Executive Guide to AI, Machine Learning, and Generative AI - With Some Help From ChatGPT and Bard IEEE IT Professional 2023 (6); by Stephen J. Andriole
2023	Technical Analysis of Data-Centric and Model-Centric Artificial Intelligence IEEE IT Professional 2023 (6); by Abdul Majeed, Seong Oun Hwang
2023	Generative Artificial Intelligence in Marketing IEEE IT Professional 2023 (5); by Nir Kshetri
2023	Misinformation Detection Using Deep Learning IEEE IT Professional 2023 (5); by Michail Tsikerdekis, Sherali Zeadally
2023	Evaluation of Tree-Based Machine Learning Algorithms for Network Intrusion Detection in the Internet of Things IEEE IT Professional 2023 (5); by Mohamed Saied Essa, Shawkat Kamal Guirguis
2023	AI in User Interface Design and Evaluation IEEE IT Professional 2023 (2); by Julián Grigera, Jordán Pascual Espada, Gustavo Rossi
2023	How Many Data Does Machine Learning in Human-Computer Interaction Need?: Re-Estimating the Dataset Size for Convolutional Neural Network-Based Models of Visual Perception IEEE IT Professional 2023 (2); by Maxim Bakaev, Sebastian Heil, Vladimir Khvorostov, Martin Gaedke
2023	Examining the Dilemma Between Artificial Intelligence Techniques and Professional Medical Service: A Hybrid Balancing Perspective IEEE IT Professional 2023 (2); by Chen-Hao Huang, Tzu-Chuan Chou

UX & Human Factors / ACM interactions

2023	Building Dreams Beyond Labor: Worker Autonomy in the Age of AI ACM interactions 2023 (6); by Dan Calacci
2023	So, There's an AI Revolution? and Other Stories ACM interactions 2023 (5); by Elizabeth F. Churchill, Mikael Wiberg
2023	Is AI Going to Replace Creative Professionals? ACM interactions 2023 (5); by Bhautik J. Joshi
2023	Advancing Explainability Through AI Literacy and Design Resources ACM interactions 2023 (5); by Patrick Gage Kelley, Allison Woodruff
2023	Rage Against the AI Machine: A Sketch in Time ACM interactions 2023 (5); by Miriam Sturdee
2023	Seeing Like a Dataset: Notes on AI Photography ACM interactions 2023 (3); by Eryk Salvaggio
2023	Beyond the Binary - Queering AI for an Inclusive Future ACM interactions 2023 (3); by Evelina Liliequist, Andrea Aler Tubella, Karin Danielsson, Coppélie Cocq
2023	OpenSpeaks before AI: Frameworks for Creating the AI/ML Building Blocks for Low-Resource Languages ACM interactions 2023 (3); by Subhashish Panigrahi
2023	Enabling Human-Centered AI: A New Junction and Shared Journey Between AI and HCI Communities ACM interactions 2023 (1); by Wei Xu, Marvin J. Dainoff
2023	Living Intimately with Machines: Can AI Be Disabled? ACM interactions 2023 (1); by Laura Forlano

Computing (specialised) / IEEE Security & Privacy

2023	Trustworthy AI Means Public AI [Last Word] IEEE Security & Privacy 2023 (6); by Bruce Schneier
2023	Privacy-Preserving Machine Learning [Cryptography] IEEE Security & Privacy 2023 (6); by Florian Kerschbaum, Nils Lukas
2023	Lessons Learned on Machine Learning for Computer Security IEEE Security & Privacy 2023 (5); by Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck
2023	Are Machine Learning Models for Malware Detection Ready for Prime Time? IEEE Security & Privacy 2023 (2); by Lorenzo Cavallaro, Johannes Kinder, Feargus Pendlebury, Fabio Pierazzi
2023	Privacy in the Era of 5G, IoT, Big Data, and Machine Learning IEEE Security & Privacy 2023 (1); by Elisa Bertino

Computing (specialised) / IEEE Internet Computing

2023	A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning IEEE Internet Computing 2023 (6); by Guanqin Zhang, Jiankun Sun, Feng Xu, Yulei Sui, H. M. N. Dilum Bandara, Shiping Chen, Tim Menzies
2023	Balancing Trustworthiness and Efficiency in Artificial Intelligence Systems: An Analysis of Tradeoffs and Strategies IEEE Internet Computing 2023 (6); by Yifei Wang
2023	Trustworthy AI and Data Lineage IEEE Internet Computing 2023 (6); by Elisa Bertino, Suparna Bhattacharya, Elena Ferrari, Dejan S. Milojicic
2023	Governing Artificial Intelligence Through a Sociotechnical Lens IEEE Internet Computing 2023 (5); by Fernando Filgueiras, Ricardo Fabrino Mendonça, Virgílio Almeida
2023	Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy IEEE Internet Computing 2023 (5); by Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni, Manas Gaur, Sudip Mittal, Anupam Joshi
2023	Open Challenges in Federated Machine Learning IEEE Internet Computing 2023 (2); by Luciano Baresi, Giovanni Quattrocchi, Nicholas Rasi
2023	Rural AI: Serverless-Powered Federated Learning for Remote Applications IEEE Internet Computing 2023 (2); by Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster
2023	Cloud-Edge-End Cooperative Detection of Wind Turbine Blade Surface Damage Based on Lightweight Deep Learning Network IEEE Internet Computing 2023 (1); by Yajuan Liu, Zhen Wang, Xiaolun Wu, Fang Fang, Ali Syed Saqlain
2023	Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability IEEE Internet Computing 2023 (1); by Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, Amit P. Sheth
2023	On the Development of AI Governance Frameworks IEEE Internet Computing 2023 (1); by Virgílio Almeida, Laura Schertel Mendes, Danilo Doneda

Computing (specialised) / IEEE Intelligent Systems

2023	Unjustified Sample Sizes and Generalizations in Explainable Artificial Intelligence Research: Principles for More Inclusive User Studies IEEE Intelligent Systems 2023 (6); by Uwe Peters, Mary Carman
2023	The Building Blocks of a Responsible Artificial Intelligence Practice: An Outlook on the Current Landscape IEEE Intelligent Systems 2023 (6); by Maryem Marzouk, Cyrine Zitoun, Oumaima Belghith, Sabri Skhiri
2023	Artificial Intelligence Ethics and Trust: From Principles to Practice IEEE Intelligent Systems 2023 (6); by Fang Chen, Jianlong Zhou, Andreas Holzinger, Kenneth R. Fleischmann, Simone Stumpf
2023	The Importance of an Ethical Framework for Trust Calibration in AI IEEE Intelligent Systems 2023 (6); by Amelie Schmid, Manuel Wiesche
2023	Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach IEEE Intelligent Systems 2023 (6); by Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle
2023	Whom to Trust, How and Why: Untangling Artificial Intelligence Ethics Principles, Trustworthiness, and Trust IEEE Intelligent Systems 2023 (6); by Andreas Duenser, David M. Douglas
2023	Seven Pillars for the Future of Artificial Intelligence IEEE Intelligent Systems 2023 (6); by Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho
2023	Why Do We Need Neurosymbolic AI to Model Pragmatic Analogies? IEEE Intelligent Systems 2023 (5); by Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das
2023	Deep Learning and Smart Contract-Assisted Secure Data Sharing for IoT-Based Intelligent Agriculture IEEE Intelligent Systems 2023 (4); by Randhir Kumar, Prabhat Kumar, Ahamed Aljuhani, A. K. M. Najmul Islam, Alireza Jolfaei, Sahil Garg
2023	Neurosymbolic Artificial Intelligence (Why, What, and How) IEEE Intelligent Systems 2023 (3); by Amit P. Sheth, Kaushik Roy, Manas Gaur
2023	AI's 10 to Watch, 2022 IEEE Intelligent Systems 2023 (2); by Jürgen Dix, Zhongfei Zhang
2023	Rethinking Homework in the Age of Artificial Intelligence IEEE Intelligent Systems 2023 (2); by Hazem Ibrahim, Rohail Asim, Fareed Zaffar, Talal Rahwan, Yasir Zaki
2023	Simulation Driven AI: From Artificial to Actual and Vice Versa IEEE Intelligent Systems 2023 (1); by Li Li, Yilun Lin, Yutong Wang, Fei-Yue Wang

Computing (specialised) / IEEE Computing in Science & Engineering

2023	Training Next-Generation Artificial Intelligence Users and Developers at NCSA IEEE Computing in Science & Engineering 2023 (6); by Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar
2023	Accelerating Scientific Discovery With AI-Aided Automation IEEE Computing in Science & Engineering 2023 (5); by Tapio Schneider, Ilkay Altintas, Daniel Atkins
2023	Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT IEEE Computing in Science & Engineering 2023 (3); by Philip J. Guo

Hardware and Microprocessor Systems / IEEE Micro

2023	Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications IEEE Micro 2023 (6); by Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri
2023	NetDistiller: Empowering Tiny Deep Learning via In Situ Distillation IEEE Micro 2023 (6); by Shunyao Zhang, Yonggan Fu, Shang Wu, Jyotikrishna Dass, Haoran You, Yingyan Lin
2023	The AI Gold Rush IEEE Micro 2023 (6); by Shane Greenstein
2023	Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications IEEE Micro 2023 (6); by Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
2023	On-Device Tiny Machine Learning for Anomaly Detection Based on the Extreme Values Theory IEEE Micro 2023 (6); by Eduardo S. Pereira, Leonardo S. Marcondes, Josemar M. Silva
2023	On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples IEEE Micro 2023 (6); by Manuele Rusci, Tinne Tuytelaars
2023	Making Machine Learning More Energy Efficient by Bringing It Closer to the Sensor IEEE Micro 2023 (6); by Marius Brehler, Lucas Camphausen, Benjamin Heidebroek, Dennis Krön, Henri Gründer, Simon Camphausen
2023	Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems IEEE Micro 2023 (5); by Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Behnam Omidi, Setareh Rafatirad, Hossein Sayadi, Khaled N. Khasawneh, Houman Homayoun
2023	Cerebras Architecture Deep Dive: First Look Inside the Hardware/Software Co-Design for Deep Learning IEEE Micro 2023 (3); by Sean Lie
2023	Sustainable AI Processing at the Edge IEEE Micro 2023 (1); by Sébastien Ollivier, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones

UX & Human Factors / IEEE Multimedia

2023	Interpretability of Machine Learning: Recent Advances and Future Prospects IEEE Multimedia 2023 (4); by Lei Gao, Ling Guan
2023	The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption IEEE Multimedia 2023 (1); by João Ascenso, Elena Alshina, Touradj Ebrahimi
2023	Distributed Architecture for an Elderly Accompaniment Service Based on IoT Devices, AI, and Cloud Services IEEE Multimedia 2023 (1); by Francisco Maciá Pérez, Iren Lorenzo-Fonseca, José Vicente Berná-Martínez, Alex Maciá-Fiteni

Computing (specialised) / IEEE Pervasive Computing

2023	Generative AI and the Call for Brevity IEEE Pervasive Computing 2023 (3); by Fahim Kawsar
2023	Provocative AI: Beyond Calm Interactions IEEE Pervasive Computing 2023 (3); by Tom Hargreaves, Vinicius J. Pereira
2023	AI-driven Family Interaction Over Melded Space and Time IEEE Pervasive Computing 2023 (1); by Bumsoo Kang, Seungwoo Kang, Inseok Hwang
2023	A Hierarchical Framework for Collaborative Artificial Intelligence IEEE Pervasive Computing 2023 (1); by James L. Crowley, Joëlle Coutaz, Jasmin Grosinger, Javier Vázquez-Salceda, Cecilio Angulo, Alberto Sanfeliu, Luca Iocchi, Anthony G. Cohn
2023	A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems IEEE Pervasive Computing 2023 (1); by Samuel Kernan Freire, Sarath Surendranadha Panicker, Santiago Ruiz-Arenas, Zoltán Rusák, Evangelos Niforatos
2023	Human-Centered AI IEEE Pervasive Computing 2023 (1); by Claudio S. Pinhanez, Florian Michahelles, Albrecht Schmidt
2023	DDoD: Dual Denial of Decision Attacks on Human-AI Teams IEEE Pervasive Computing 2023 (1); by Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko

Other / IEEE Annals of the History of Computing

2023	Perspectives on Artificial Intelligence in Europe IEEE Annals of the History of Computing 2023 (3); by Helen Piel, Rudolf Seising
2023	Literature and Artificial Intelligence IEEE Annals of the History of Computing 2023 (3); by Hans-Christian von Herrmann
2023	The "KI-Rundbrief," Its Editors, and Its Community: A Perspective on West German AI, 1975-1987 IEEE Annals of the History of Computing 2023 (3); by Dinah Pfau, Helen Piel, Florian Müller, Jakob Tschandl, Rudolf Seising
2023	Early AI in Britain: Turing et al IEEE Annals of the History of Computing 2023 (3); by B. Jack Copeland

Software Engineering / ACM queue (FREE)

2023	Cargo Cult AI: Is the ability to think scientifically the defining essence of intelligence? ACM queue (FREE) 2023 (2); by Edlyn V. Levine
2023	Designing a Framework for Conversational Interfaces: Combining the latest advances in machine learning with earlier approaches ACM queue (FREE) 2023 (1); by Zachary Tellman

Computing (general) / PhD Theses

2023	Optimization for machine learning: Memory-efficient and tractible solutions to large-scale non-convex systems PhD Theses 2023 (1); by Aditya Ranganath
2023	Large-scale programmable silicon photonics for quantum and classical machine learning PhD Theses 2023 (1); by Mihika Prabhu
2023	Algorithm-Centric Design of Reliable and Efficient Deep Learning Processing Systems PhD Theses 2023 (1); by Elbruz Ozen
2023	Data-Centric Machine Learning for Human-Centric Applications PhD Theses 2023 (1); by Hari Prasanna Das
2023	Steerable AI-powered Art-making Tools PhD Theses 2023 (1); by John Joon Young Chung
2023	Delocalized Photonic Deep Learning on the Internet's Edge PhD Theses 2023 (1); by Alexander Sludds
2023	Task-Driven Adaptation of Deep Learning Architectures PhD Theses 2023 (1); by Siyu Qi
2023	Embracing Data-Centric AI: Practical and Provable Solutions to Weakly Supervised Data PhD Theses 2023 (1); by Zhaowei Zhu
2023	Novel Vision-AI Techniques for Morphological Discovery in System Biology PhD Theses 2023 (1); by Amitash Nanda
2023	Advancing Automated Machine Learning: Neural Architectures and Optimization Algorithms PhD Theses 2023 (1); by Xiangning Chen
2023	Scaling Machine Learning in Practice PhD Theses 2023 (1); by Daniel Suo
2023	Robust Machine Learning by Integrating Context PhD Theses 2023 (1); by Chengzhi Mao
2023	Understanding the Brain using Machine Learning and Enhancing Machine Learning with Neuroscience PhD Theses 2023 (1); by Jinwei Xing
2023	Identifying Children Autism Spectrum Disorder via Machine Learning based Behavior Analysis PhD Theses 2023 (1); by Wenbo Liu
2023	Robust and Efficient Deep Learning for Multimedia Generation and Recognition PhD Theses 2023 (1); by Shehzeen Samarah Hussain
2023	Multimodal deep learning systems for analysis of human behavior, preference, and state PhD Theses 2023 (1); by Sharath C. Koorathota
2023	Interpretations of Machine Learning and Their Application to Therapeutic Design PhD Theses 2023 (1); by Brandon Carter
2023	Enabling Compositional Generalization of AI Systems PhD Theses 2023 (1); by Shuang Li
2023	Towards Rigorously Tested & Reliable Machine Learning for Health PhD Theses 2023 (1); by Michael Oberst
2023	Synthesis and Robust Detection of AI-generated Media PhD Theses 2023 (1); by Paarth Neekhara
2023	Constrained machine learning: algorithms and models PhD Theses 2023 (1); by Geoffrey Négiar
2023	Quantum Machine Learning Without Any Quantum PhD Theses 2023 (1); by Ewin Tang
2023	Crafting Machine Learning Defenses against Adversaries PhD Theses 2023 (1); by Won Park
2023	Surprising Empirical Phenomena of Deep Learning and Kernel Machines PhD Theses 2023 (1); by Like Hui
2023	Hierarchical Heterogeneous Cluster Systems for Scalable Distributed Deep Learning PhD Theses 2023 (1); by Yibo Wang
2023	Value Learning for Interactive Games, Embodied Artificial Intelligence, and Robotics PhD Theses 2023 (1); by Yizhou Zhao
2023	Machine Learning for Semiconducting Solids: Benchmarking, Thermoelectric Discovery, and Dopant Engineering PhD Theses 2023 (1); by Alexander Dunn
2023	The Primacy of Applied Privacy: Different Approaches to Data Privacy Needed for Different Machine Learning Tasks PhD Theses 2023 (1); by Casey Meehan
2023	Interactive Causality Enabled Adaptive Machine Learning PhD Theses 2023 (1); by Yutian Ren
2023	Social Reference Processing with Collaborative Human-AI Systems PhD Theses 2023 (1); by Jordan S. Huffaker
2023	Machine Learning Modeling for Process Control and Electrochemical Reactor Operation PhD Theses 2023 (1); by Junwei Luo
2023	Application-Driven Development of Computational Tools and Algorithms for Machine Learning and Mean-Field Games PhD Theses 2023 (1); by Mahan Tajrobehkar
2023	Beyond Model Efficiency: Data Optimizations for Machine Learning Systems PhD Theses 2023 (1); by Michael Kuchnik
2023	Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data PhD Theses 2023 (1); by Matthew E. Levine
2023	Foundations of Machine Learning: Over-parameterization and Feature Learning PhD Theses 2023 (1); by Adityanarayanan Radhakrishnan
2023	Machine Learning Inorganic Solid-state Synthesis from Materials Science Literature PhD Theses 2023 (1); by Tanjin He
2023	Efficient and Dependable Deep Learning Systems PhD Theses 2023 (1); by Salar Latifi
2023	Physics-Guided Deep Learning for Dynamics Forecasting PhD Theses 2023 (1); by Rui Wang
2023	Machine Learning Empowered Agile Hardware Design and Design Automation PhD Theses 2023 (1); by Nan Wu
2023	High-throughput Data Systems for Deep Learning Workloads PhD Theses 2023 (1); by Yuhao Zhang
2023	Minimalist Systems for Pervasive Machine Learning PhD Theses 2023 (1); by Fan Lai
2023	Machine Learning and Security in Adversarial Settings PhD Theses 2023 (1); by Hojjat Aghakhani
2023	Overcoming Real-world Deployment Challenges for AI-enabled Systems PhD Theses 2023 (1); by Matt Whitehill
2023	Promises and Pitfalls of Generative AI: An AI-Safety Centric Approach PhD Theses 2023 (1); by Vikash Sehwag
2023	Artificial Intelligence-Aided Synthesis and Characterization of 2D Materials PhD Theses 2023 (1); by Ang-Yu Lu
2023	Applications of AI in Non-Stationary Markets PhD Theses 2023 (1); by Tugce Karatas
2023	Data-driven Image Segmentation of Complex Microstructures with Deep Learning PhD Theses 2023 (1); by Bo Lei
2023	On Distributed Learning Techniques for Machine Learning PhD Theses 2023 (1); by Saeed Vahidian
2023	Optimizing Content Distribution Network Caches with Machine Learning PhD Theses 2023 (1); by Zhenyu Song
2023	Efficient Algorithms, Hardware Architectures and Circuits for Deep Learning Accelerators PhD Theses 2023 (1); by Miaorong Wang
2023	AI and the Writer: How Language Models Support Creative Writers PhD Theses 2023 (1); by Katy Ilonka Gero
2023	Structured Deep Probabilistic Machine Learning Models with Imaging Applications PhD Theses 2023 (1); by Arunesh Mittal
2023	Generative Image AI for Design PhD Theses 2023 (1); by Chengzhi Zhang
2023	Improving Acute Ischemic Stroke Diagnosis Using Medical Imaging and Deep Learning Methods PhD Theses 2023 (1); by Haoyue Zhang
2023	Large-Scale Machine Learning over Streaming Data PhD Theses 2023 (1); by Ellango Jothimurugesan
2023	Integrating statistical and machine learning approaches to identify receptive field structure in neural populations PhD Theses 2023 (1); by Mehrad Sarmashghi
2023	AI-Based Speech Assessment of Cognitive Impairment Disorders PhD Theses 2023 (1); by R'mani Haulcy
2023	Efficient Machine Learning Acceleration at the Edge PhD Theses 2023 (1); by Wojciech Romaszkan
2023	Make Knowledge Computable: Towards Differentiable Neural-Symbolic AI PhD Theses 2023 (1); by Ziniu Hu
2023	(Un)Fairness Along the AI Pipeline Problems and Solutions PhD Theses 2023 (1); by Emily Black
2023	Deep Learning for Flow Feature Detection PhD Theses 2023 (1); by Akila de Silva
2023	Online Learning for Orchestrating Deep Learning Inference at Edge PhD Theses 2023 (1); by Sina Shahhosseini
2023	Sequential Decision Making for Large Scale Machine Learning PhD Theses 2023 (1); by Rui Liu
2023	Machine Learning Methods for Personalized Healthcare PhD Theses 2023 (1); by Kimmo Kärkkäinen
2023	Human-AI Interaction for Exploratory Search & Recommender Systems with Application to Cultural Heritage PhD Theses 2023 (1); by Benjamin Charles Germain Lee
2023	Horizons of Artificial Intelligence in Quantum Computation PhD Theses 2023 (1); by Bobak T. Kiani
2023	End-to-End Inference Optimization for Deep Learning-based Image Upsampling Networks PhD Theses 2023 (1); by Ian Colbert
2023	AI Ethics and Critique for Robotics PhD Theses 2023 (1); by William Agnew
2023	Accelerating Electronic Structure Calculations with Machine Learning PhD Theses 2023 (1); by Daniel Rothchild
2023	Learning and Planning Towards AI for Social Good PhD Theses 2023 (1); by Zheyuan Shi
2023	Machine Learning Framework for Causal Modeling for Process Fault Diagnosis and Mechanistic Explanation Generation PhD Theses 2023 (1); by Abhishek Sivaram
2023	Algorithm-Hardware Co-design for Ultra-Low-Power Machine Learning and Neuromorphic Computing PhD Theses 2023 (1); by Dewei Wang
2023	Toward Trustworthy Scientific Inquiry and Design with Machine Learning PhD Theses 2023 (1); by Clara Fannjiang
2023	Gradient-Based Shape Optimization for Engineering Using Machine Learning PhD Theses 2023 (1); by Xingyuan Sun
2023	Addressing Data Explosion Issue in Emerging Deep Learning Applications PhD Theses 2023 (1); by Zheng Qu
2023	Human-Centered Machine Learning: A Statistical and Algorithmic Perspective PhD Theses 2023 (1); by Leqi Liu
2023	Model-Regularized Machine Learning for Decision-Making PhD Theses 2023 (1); by Sinong Geng
2023	Towards Fair and Interpretable AI Healthcare predictive Models: from wearable sensors to causal graphs PhD Theses 2023 (1); by Wenhao Zhang
2023	Probabilistic Ising Architectures for Combinatorial Optimization, Machine Learning and Neuromorphic Computing PhD Theses 2023 (1); by Saavan Patel
2023	Membership Inference Attacks on Deep Learning Models PhD Theses 2023 (1); by Shahbaz Rezaei
2023	Socially Responsible and Factual Reasoning for Equitable AI Systems PhD Theses 2023 (1); by Saadia Gabriel
2023	Using Machine Learning to Elucidate Disease Heterogeneity and Improve Prognostication in Patients with COPD PhD Theses 2023 (1); by Nancy Fang Yuan
2023	Conformal Methods for Efficient and Reliable Deep Learning PhD Theses 2023 (1); by Adam Fisch
2023	Auto-batching Techniques for Dynamic Deep Learning Computation PhD Theses 2023 (1); by Pratik Fegade
2023	AI and Big Data in Health: Boosting Reliability and Efficiency in Predictive Healthcare Models PhD Theses 2023 (1); by Yuqing Wang
2023	Improving Machine Learning Models for Microbiome Analysis and Democratizing Data Science Along the Way PhD Theses 2023 (1); by Kelly L. Sovacool
2023	Algorithmic and architectural implicit biases in deep learning PhD Theses 2023 (1); by Samy Jelassi
2023	AI framework for improved system design and explainable decisions PhD Theses 2023 (1); by Prerit Terway
2023	Practical Methods for Automated Algorithm Design in Machine Learning and Computational Biology PhD Theses 2023 (1); by Quang Minh Hoang
2023	Performance Modeling and Optimization for Machine Learning Workloads PhD Theses 2023 (1); by Zhongyi Lin
2023	Physics-Aware Tiny Machine Learning PhD Theses 2023 (1); by Swapnil Sayan Saha
2023	Out-of-Distribution Generalization of Deep Learning to Illuminate Dark Protein Functional Space PhD Theses 2023 (1); by Tian Cai
2023	Transparent Machine Learning: Theory and Computation PhD Theses 2023 (1); by Ian Connick Covert
2023	Feature Bias in Machine Learning Models: An In-depth Exploration for Software Engineering Tasks PhD Theses 2023 (1); by Jiri Gesi
2023	Efficient Resource Management for Machine Learning PhD Theses 2023 (1); by Romil Bhardwaj
2023	Aligning Machine Learning Solutions with Clinical Needs PhD Theses 2023 (1); by Fahad Kamran
2023	Robust Interactions with Machine Learning Models PhD Theses 2023 (1); by Dylan Slack
2023	Applications of Probabilistic Reasoning in Trustworthy AI: From Handling Missing Data to Explainability PhD Theses 2023 (1); by Pasha Khosravi
2023	Toward A Secure Account Recovery: Machine Learning Based User Modeling for protection of Account Recovery in a Managed Environment PhD Theses 2023 (1); by Amos Imbati Alubala
2023	Geometric Deep Learning: Impact of Graph Structure on Graph Neural Networks PhD Theses 2023 (1); by Mark Cheung
2023	Modeling and Deep Learning of Cellular Transcriptome and Epigenetic Regulations PhD Theses 2023 (1); by Honglei Ren
2023	Context and Participation in Machine Learning PhD Theses 2023 (1); by Harini Suresh
2023	Improving The Modeling and Analysis of Tropical Convection and Precipitation through Machine Learning Methods PhD Theses 2023 (1); by Griffin Mooers
2023	Mathematical Theory of Machine Learning Models for Estimating Probability Distributions PhD Theses 2023 (1); by Hongkang Yang
2023	Pretrained Representations for Embodied AI PhD Theses 2023 (1); by Alexander Sax
2023	Holistic Algorithm and System Co-Optimization for Trustworthy and Platform-Aware Deep Learning PhD Theses 2023 (1); by Mojan Javaheripi
2023	Interactive Machine Learning from Humans: Knowledge Sharing via Mutual Feedback PhD Theses 2023 (1); by Pallavi Koppol
2023	Efficient and Explainable Machine Learning PhD Theses 2023 (1); by Weijia Wang
2023	Machine Learning for the prediction of 29Si Shielding Tensors with Applications in NMR Crystallography PhD Theses 2023 (1); by Maxwell C. Venetos
2023	Accelerating Artificial Intelligence with Programmable Silicon Photonics PhD Theses 2023 (1); by Saumil Bandyopadhyay
2023	Structure-Driven Algorithm Design in Optimization and Machine Learning PhD Theses 2023 (1); by Tianyi Lin
2023	Probabilistic Methods for Mitigating Uncertainties in Large-Scale Computing and Machine Learning PhD Theses 2023 (1); by Ankur Mallick
2023	High Resolution Magnetic Resonance Imaging via Artificial Intelligence and Radiofrequency Coil Design PhD Theses 2023 (1); by Jiahao Lin
2023	Computational and Machine Learning Methods for Understanding Gene Regulation and Variant Effects PhD Theses 2023 (1); by Gonzalo Benegas
2023	Machine Learning Applications and Developments for Swine Industry PhD Theses 2023 (1); by Jeonghoon Kim
2023	Transparent Representation Learning for Graphs and Human-AI Collaboration PhD Theses 2023 (1); by Mert Kosan
2023	Complaint Driven Training Data Debugging for Machine Learning Workflows PhD Theses 2023 (1); by Lampros Flokas
2023	Machine Learning for Data-Driven Signal Separation and Interference Mitigation in Radio-Frequency Communication Systems PhD Theses 2023 (1); by Gary C. F. Lee
2023	Learning Embodied AI Agents with Task Decomposition PhD Theses 2023 (1); by Zhiwei Jia
2023	Applied Machine Learning in Healthcare Systems: Classical and Deep Learning Approach for Gait Analysis and Activity Recognition PhD Theses 2023 (1); by Albara Ah Ramli
2023	Genome-Driven Personalized Medicine of Cancer via Machine Learning and Phylogenetic Models PhD Theses 2023 (1); by Yifeng Tao
2023	Optimizing Distributed Machine Learning on User-Variant Edge Computing Systems PhD Theses 2023 (1); by Taejin Kim
2023	De novo design of new chemical entities with AI methods PhD Theses 2023 (1); by Maria Korshunova
2023	Deconstructing Models and Methods in Deep Learning PhD Theses 2023 (1); by Pavel Izmailov
2023	Machine Learning Algorithm and System Co-design for Hardware Efficiency PhD Theses 2023 (1); by Cheng Fu
2023	Continuous Learning for Lightweight Machine Learning Inference at the Edge PhD Theses 2023 (1); by Mehrdad Khani Shirkoohi
2023	A Collaborative Framework for Machine Learning-Based Toolmaking for Creative Practices PhD Theses 2023 (1); by Ardavan Bidgoli
2023	Topics in Deep Learning and Data-driven Optimization PhD Theses 2023 (1); by Achraf Bahamou
2023	Leveraging machine learning & interpretability methods for limited data: from systems biology to healthcare applications PhD Theses 2023 (1); by Nicasia Beebe-Wang
2023	Combining Deep Learning and Physics Models for Efficient and Robust Architectures PhD Theses 2023 (1); by Filipe de Avila Belbute-Peres
2023	Towards Robust and Fair Machine Learning PhD Theses 2023 (1); by Anshuman Chhabra
2023	Deep learning for satellite image compression. (Compression d'images satellitaires par apprentissage profond) PhD Theses 2023 (1); by Pascal Bacchus
2023	Uncertainty quantification of explicability for Machine Learning : post-selection inference over interpretable biological features. (Quantifier l'incertitude de l'explicabilité en apprentissage automatique : inférence postsélection sur des caractéristiques biologiques interprétables) PhD Theses 2023 (1); by Antoine Villié
2023	AI-based diagnosis of prostate cancer from multiparametric MRI. (Aide au diagnostic du cancer de la prostate depuis l'IRM multiparamétrique grâce à l'apprentissage profond) PhD Theses 2023 (1); by Dimitri Hamzaoui
2023	Optimization methods over networks for popular content delivery and distributed machine learning. (Méthodes d'optimisation sur réseaux pour la distribution de contenu populaire et l'apprentissage automatique distribué) PhD Theses 2023 (1); by Marina Costantini
2023	A conversational AI Framework for Cognitive Process Analysis. (Un cadre d'IA conversationnel pour l'analyse des processus cognitifs) PhD Theses 2023 (1); by Meriana Kobeissi
2023	Medical Image Segmentation with Belief Function Theory and Deep Learning. (Segmentation d'images médicales avec théorie des fonctions de croyance et apprentissage profond) PhD Theses 2023 (1); by Ling Huang
2023	A logical investigation of explainable AI. (Une investigation logique de l'IA explicable) PhD Theses 2023 (1); by Xinghan Liu
2023	Deep learning for light field acquisition and restoration. (Apprentissage profond pour l'acquisition et la restauration de champs de lumière) PhD Theses 2023 (1); by Brandon Le Bon
2023	Leveraging Machine Learning and Operations Research to Enhance Cruise Ship Energy Efficiency. (Fouille de Données et Recherche Opérationnelle pour l'Amélioration de l'Efficacité Énergétique des Paquebots de Croisière) PhD Theses 2023 (1); by Fred Gonsalves
2023	Amélioration du diagnostic du cancer de la peau par classification des images de dermoscopie à l'aide de techniques d'intelligence artificielle. (Improving skin cancer diagnosis by classifying dermoscopy images using artificial intelligence techniques) PhD Theses 2023 (1); by Lébini Chabi Adjobo
2023	Méta-décomposition et processus d'évaluation dans les applications d'apprentissage automatique. (Meta-decomposition and evaluation processes in machine learning applications) PhD Theses 2023 (1); by Seyed M. R. Modaresi
2023	Simplification of 3D CAD models with deep learning for augmented reality. (Simplification des modèles CAO 3D avec l'apprentissage profond pour la réalité augmentée) PhD Theses 2023 (1); by Abhaya Dhathri Arige
2023	Simultaneous multimodal imaging of metabolic and functional parameters of tumors; tumor heterogeneity, prediction of precision medicine effectiveness by radiomic analysis and machine learning algorithms. (Imagerie multimodale simultanée des paramètres métaboliques et fonctionnels des tumeurs : hétérogénéité tumorale, prédiction de l'efficacité de la médecine de précision par algorithmes d'apprentissage automatique) PhD Theses 2023 (1); by Nesrine Mansouri
2023	Apprentissage sur des données multispectrales et multiplateformes au profit des systèmes de mission de surveillance. (Deep learning on multispectral and multi-platform data to benefit surveillance mission systems) PhD Theses 2023 (1); by Christophe Caubet
2023	Machine Learning Approaches for Sub-surface Geological Heterogeneous Sources. (Approches d'apprentissage automatique pour des sources hétérogènes géologiques de sous-sol) PhD Theses 2023 (1); by Molood Arman
2023	Accelerated Dynamic MR Imaging Using Linear And Non-Linear Machine Learning-Based Image Reconstruction Models. (Imagerie IRM Dynamique Accélérée Utilisant Des Modèles d'Apprentissage Automatique Linéaire Et Non-Linéaire Pour La Reconstruction d'Images) PhD Theses 2023 (1); by Yanis Djebra
2023	Développement de modèles de reconnaissance des expressions faciales à base d'apprentissage profond pour les applications embarquées. (Development of deep learning-based facial expression recognition models for embedded applications) PhD Theses 2023 (1); by Mohammad Mahdi Deramgozin
2023	Advancing Bayesian Deep Learning: Sensible Priors and Accelerated Inference. (Faire progresser l'apprentissage profond bayésien: priors sensibles et inférence accélérée) PhD Theses 2023 (1); by Ba-Hien Tran
2023	Low carbon footprint intrusion detection in IoT systems based on Deep Learning algorithms combined with a metaheuristic. (Détection d'intrusion à faible empreinte carbone dans les systèmes IoT basée sur un algorithmes Deep Learning combiné à une métaheuristique) PhD Theses 2023 (1); by Mohamed Sassi
2023	Machine learning models for satellite-based coral reef mapping. (Modèles d'apprentissage automatique pour la cartographie de récifs coralliens par imagerie satellite) PhD Theses 2023 (1); by Teo Nguyen
2023	Addressing Interpretability, Fairness and Privacy in Machine Learning Through Combinatorial Optimization Methods. (Adresser l'interprétabilité, l'équité et la protection de la vie privée en apprentissage machine au travers des méthodes d'optimisation combinatoire) PhD Theses 2023 (1); by Julien Ferry
2023	Intégration de connaissances explicites à l'apprentissage profond pour la reconnaissance et la segmentation d'écriture manuscrite d'enfants. (Integrating Explicit Knowledge with Deep Learning for Children's Handwriting Recognition and Segmentation) PhD Theses 2023 (1); by Simon Corbillé
2023	AI-Assisted Creative Expression: A Case for Automatic Line Art Colorization. (Expression Créative Assistée par IA : Le Cas de La Colorisation Automatique de Line Art) PhD Theses 2023 (1); by Yliess Hati
2023	Robust machine learning for Graphs/Networks. (Apprentissage automatique robuste pour Graphes Réseaux) PhD Theses 2023 (1); by Hakim Hafidi
2023	Developing a User-Friendly and Modular Framework for Deep Learning Methods in 3D Bioimage Segmentation. (Développement d'une infrastructure logicielle conviviale et modulaire pour des méthodes d'apprentissage profond appliquées à la segmentation de bio-images tridimensionnelles) PhD Theses 2023 (1); by Guillaume Mougeot
2023	Exploring the Scope of Machine Learning using Homomorphic Encryption in IoT/Cloud. (Exploration de l'apprentissage automatique avec le chiffrement homomorphe dans l'internet des objets/Cloud) PhD Theses 2023 (1); by Yulliwas Ameur
2023	Music encoding and deep learning for music transcription and classification based on visually represented audio features. (Encodage de musique et apprentissage en profondeur pour la transcription et la classification de la musique basées sur des caractéristiques audio représentées visuellement) PhD Theses 2023 (1); by Charbel El Achkar
2023	Applications of secure multi-party computation in Machine Learning. (Les applications du calcul multipartite sécurisé en apprentissage automatique) PhD Theses 2023 (1); by Angelo Saadeh
2023	Deep Learning based 3D Multi-person Human pose estimation from Monocular Vision. (Estimation de la pose humaine 3D multi-personnes basée sur le Deep Learning à partir de la vision monoculaire) PhD Theses 2023 (1); by Amal El Kaid
2023	Hybrid AI approaches for context recognition: application to activity recognition and anticipation and context abnormalities handling in Ambient Intelligence environments. (Approches d'IA hybrides pour la reconnaissance du contexte : application à la reconnaissance et à l'anticipation d'activités, et à la gestion des anomalies de contexte dans les environnements d'Intelligence Ambiante) PhD Theses 2023 (1); by Koussaila Moulouel
2023	Artificial intelligence techniques to improve quality of transmission estimation in optical networks. (Techniques de l'intelligence artificielle pour l'amélioration des performances et l'optimisation des ressources des réseaux optiques) PhD Theses 2023 (1); by Reda Ayassi
2023	Automatic identification of diatoms using deep learning to improve ecological diagnosis of aquatic environments. (Identification automatique des diatomées par apprentissage profond pour l'amélioration du diagnostic écologique des milieux aquatiques) PhD Theses 2023 (1); by Aishwarya Venkataramanan
2023	L'intelligence artificielle pour prédire les réseaux et les phénotypes des plantes. (Artificial Intelligence to Predict Plant networks and Phenotypes) PhD Theses 2023 (1); by Jean-Baptiste Carluer
2023	Améliorations des outils de détection de malwares par analyse statique grâce à des mécanismes d'intelligence artificielle. (Static analysis malware detection tools enhanced by artificial intelligence mechanisms) PhD Theses 2023 (1); by Benjamin Marais
2023	Robust Deep learning methods inspired by signal processing algorithms. (Méthodes robustes d'apprentissage profond inspirées d'algorithmes de traitement du signal / Metode robuste de învăt, are profundă inspirate din algoritmi de procesare de semnal) PhD Theses 2023 (1); by Ana Neacsu
2023	Enhancing Video Anomaly Detection by Leveraging Advanced Deep Learning Techniques. (Amélioration de la détection d'anomalies vidéo basée sur des technique avancées d'Apprentissage Profond) PhD Theses 2023 (1); by Wenhao Shao
2023	CSI Feedback Enhancement using Machine Learning. (Amélioration du retour d'information des CSI à l'aide de l'apprentissage automatique) PhD Theses 2023 (1); by Muhammad Karam Shehzad
2023	Deep learning and knowledge transfer for the detection of errors in biological sequences. (Apprentissage profond et transfert de connaissances pour la détection d'erreurs dans les séquences biologiques) PhD Theses 2023 (1); by Hiba Khodji
2023	Deep learning based physical-statistics modeling of ocean dynamics. (Modélisation physico-statistique de la dynamique des océans basée sur l'apprentissage profond) PhD Theses 2023 (1); by Marie Déchelle-Marquet
2023	Reconnaissance des documents avec de l'apprentissage profond pour la réalité augmentée. (Document recognition with deep learning for augmented reality) PhD Theses 2023 (1); by Thibault Lelong
2023	An in-depth study of the deep learning pipeline. (Une étude en profondeur de l'apprentissage profond) PhD Theses 2023 (1); by Adrien Courtois
2023	Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation. (Surveillance du temps d'exécution de l'incertitude du réseau neuronal profond pour une navigation automatisée robuste et sûre basée sur l'IA) PhD Theses 2023 (1); by Fabio Arnez
2023	Methods and applications in machine learning and computational biology for the analysis and the integration of high dimensional single-cell transcriptomics datasets. (Méthodes et applications en apprentissage automatique et biologie computationnelle pour l'analyse et l'intégration de données transcriptomiques single-cell de haute dimension) PhD Theses 2023 (1); by Aziz Fouché
2023	Deep learning for remote sensing images and their interpretation. (Apprentissage profond pour l'interprétation des images satellitaires) PhD Theses 2023 (1); by Inès Meraoumia
2023	Évaluation et classification des caractéristiques des couches d'accrochage dans les chaussées par techniques radar : traitement hybride par intelligence artificielle / FWI. (Evaluation and classification of tack coat characteristics in pavements by radar techniques : hybrid processing by Machine learning / FWI) PhD Theses 2023 (1); by Grégory Andreoli
2023	Computer vision and deep learning applied to face recognition in the invisible spectrum. (Vision par ordinateur et apprentissage profond appliqués à la reconnaissance faciale dans le spectre invisible) PhD Theses 2023 (1); by David Anghelone
2023	Deep Learning-Assisted Modelling of Turbulence in Fluids. (Modélisation de la turbulence dans les fluides assistée par l'apprentissage profond) PhD Theses 2023 (1); by Aakash Patil
2023	Multimodal deep learning for audiovisual production. (Analyse multimodale par apprentissage profond pour la production audiovisuelle) PhD Theses 2023 (1); by Kaouther Ouenniche
2023	Intrusion detection with deep learning for in-vehicle networks. (Détection d'intrusion avec les techniques d'apprentissage en profondeur pour les réseaux automobiles embarqués) PhD Theses 2023 (1); by Natasha Al-Khatib
2023	Deep learning techniques for power allocation problems in cognitive relay-aided networks. (Techniques d'apprentissage profond pour les problèmes d'allocation de puissance dans les réseaux radio cognitifs assistés par des relais) PhD Theses 2023 (1); by Yacine Benatia
2023	Traitement dans le domaine chiffré par l'intelligence artificielle. (Processing in the encrypted domain using artificial intelligence) PhD Theses 2023 (1); by Raghida El Saj
2023	Artificial intelligence for resource allocation in multi-tenant edge computing. (L'Intelligence artificielle pour l'allocation des ressources dans le multi-tenant edge computing) PhD Theses 2023 (1); by Ayoub Ben-Ameur
2023	Computer-aided-diagnosis for ocular abnormalities from a single color fundus photography with deep learning. (Diagnostic assisté par ordinateur grâce à l'apprentissage profond des anomalies oculaires à partir d'images du fond d'œil) PhD Theses 2023 (1); by Anneke Annassia Putri Siswadi
2023	Energy-Efficient Memristor-Based Artificial Intelligence Accelerators using In/Near Memory Computing. (Accélérateurs d'Intelligence Artificielle à Base de Memristors à Faible Consommation d'Énergie utilisant le Calcul Dans/Proche de la Mémoire) PhD Theses 2023 (1); by Kamel-Eddine Harabi
2023	Apprentissage automatique pour l'analyse de trajectoires spatiales : extraction conjointe de caractéristiques démographiques et comportementales. (Machine learning for spatial trajectory processing : joint analysis of demographic and behavioral characteristics) PhD Theses 2023 (1); by Hippolyte Dubois
2023	Apprentissage automatique pour les attaques par canaux auxiliaires. (Machine learning for side-channel analysis) PhD Theses 2023 (1); by Christophe Genevey-Metat
2023	Deep learning for change detection in 3D point clouds. (Apprentissage profond pour la détection de changements dans des nuages de points 3D) PhD Theses 2023 (1); by Iris de Gélis
2023	Contributions to reliable machine learning via false discovery rate control. (Contributions à l'apprentissage automatique fiable via le contrôle du taux de fausses découvertes) PhD Theses 2023 (1); by Ariane Marandon-Carlhian
2023	Solving Some Nonlinear Optimization Problems with Deep Learning. (Résolution de quelques problèmes d'optimisation non linéaire avec l'apprentissage profond) PhD Theses 2023 (1); by Dawen Wu
2023	Performance Enhancement in Wi-Fi Networks using Machine Learning. (Amélioration des performances des réseaux Wi-Fi en utilisant l'apprentissage automatique) PhD Theses 2023 (1); by Ibrahim Sammour
2023	Probabilistic exponential smoothing for explainable AI in the supply chain domain. (Lissage exponentiel probabiliste pour l'IA explanable dans le domaine de la supply chain) PhD Theses 2023 (1); by Antonio Cifonelli
2023	Modèles contrefactuels pour un apprentissage machine explicable et juste : une approche par transport de masse. (Counterfactual models for hair and explainable machine learning : a mass transportation approach) PhD Theses 2023 (1); by Lucas de Lara
2023	Language representations in deep learning algorithms and the brain. (Les représentations de langage dans les algorithmes d'apprentissage profonds et le cerveau) PhD Theses 2023 (1); by Charlotte Caucheteux
2023	Curiosity-driven AI for Science: Automated Discovery of Self-Organized Structures. (IA Curieuse au service de la Science: Découverte Automatisée de Structures Auto-Organisées) PhD Theses 2023 (1); by Mayalen Etcheverry
2023	Deep learning for inverse problems and application to omnidirectional imaging. (Apprentissage profond pour les problèmes inverses et application à l'imagerie omnidirectionnelle) PhD Theses 2023 (1); by Rita Fermanian
2023	Un cadre flexible pour l'apprentissage automatique interprétable: application à la classification d'images et d'audio. (A Flexible Framework for Interpretable Machine Learning: application to image and audio classification) PhD Theses 2023 (1); by Jayneel Parekh
2023	Digital oscillatory neural network implementation on FPGA for edge artificial intelligence applications and learning. (Implémentation de réseaux de neurones oscillatoires digitaux sur FPGA pour des application et de l'apprentissage pour l'intelligence) PhD Theses 2023 (1); by Madeleine Abernot
2023	Deep learning based phase retrieval for X-ray phase contrast imaging. (Récupération de phase basée sur l'apprentissage profond pour l'imagerie à contraste de phase par rayons X) PhD Theses 2023 (1); by Kannara Mom
2023	Bridging the Gap between Radiology and Biology with Deep Learning in Head and Neck Cancer. (Combler l'écart entre radiologie et biologie par apprentissage profond pour les cancers ORL) PhD Theses 2023 (1); by Amaury Leroy
2023	Membrane Separation Processes Using Machine Learning Based Mathematical Programming Models. (Processus de séparation par membrane à l'aide de modèles de programmation mathématique basés sur l'apprentissage automatique) PhD Theses 2023 (1); by Amalia Macali
2023	Deep Learning Based Multimodal Retrieval. (Recherche multimodale basée sur l'apprentissage profond) PhD Theses 2023 (1); by Jianan Chen
2023	Application de l'intelligence artificielle au développement de nouvelles méthodes de calcul de doses à distance pour l'optimisation des traitements par radiothérapie et radio-immunothérapie en cancérologie. (Artificial intelligence for the development of new methods of out-of-field doses calculation for the optimization of radiotherapy and radio-immunotherapy treatments in oncology) PhD Theses 2023 (1); by Nathan Benzazon
2023	Artificial intelligence methods for liver surgery planning from medical images: towards an automatic decision support tool for the curative treatment of hepatocellular carcinoma. (Méthodes d'intelligence artificielle pour la planification de la chirurgie hépatique à partir d'images médicales: vers un outil d'aide à la décision automatique pour le traitement curatif du carcinome hépatocellulaire) PhD Theses 2023 (1); by Omar Ali
2023	Apprentissage profond interactif et semi-supervisé pour la segmentation volumique en tomographie électronique. (Semi-supervised interactive deep learning for volume segmentation in electron tomography) PhD Theses 2023 (1); by Cyril Li
2023	Machine Learning Supported Interactive Visualization of Hybrid 3D and 2D Data for the Example of Plant Cell Lineage Specification. (Visualisation interactive, soutenue par l'apprentissage automatique, de données hybrides 3D et 2D ; l'exemple de la spécification du lignage cellulaire en biologie végétale) PhD Theses 2023 (1); by Jiayi Hong
2023	Complexity Methods in Physics-Guided Machine Learning. (Méthodes de Complexité dans l'Apprentissage Automatique Guidé par la Physique) PhD Theses 2023 (1); by Eduardo Brandao
2023	Enjeux juridiques de l'utilisation de l'intelligence artificielle dans le secteur de l'électricité. (Legal issues raised by the use of AI in the electricity power sector) PhD Theses 2023 (1); by Thomas Le Goff
2023	Segmentation d'images de microscopie électronique par apprentissage profond pour l'analyse quantitative de l'ultrastructure cellulaire. (Deep learning image segmentation in electron microscopy for quantitative analysis of cellular ultrastructure) PhD Theses 2023 (1); by Cyril Meyer
2023	Machine learning applied to ultrafast ultrasound imaging for vascular and functional characterization of the brain. (Apprentissage machine appliqué à l'échographie ultrarapide pour la caractérisation vasculaire et fonctionnelle du cerveau) PhD Theses 2023 (1); by Matthieu Blons
2023	AI models for digital signal processing in future 6G-IoT networks. (Modèles IA pour le traitement des signaux numériques dans les futurs réseaux 6G-IoT) PhD Theses 2023 (1); by Guillaume Larue
2023	Apprentissage automatique dans l'analyse automatisée de l'aorte humaine à l'aide d'une IRM innovante en flux 4D. (Machine learning in automated analysis of human aorta using innovative 4D flow MRI) PhD Theses 2023 (1); by Jia Guo
2023	Early Developmental Evaluation of Premature Infants with Quantitative General Movements Assessment Using Deep Learning Based 3D Pose Estimation. (Évaluation précoce du développement des enfants prématurés par analyse quantitative des mouvements généraux et estimation de la pose 3D par apprentissage profond) PhD Theses 2023 (1); by Ameur Soualmi
2023	Apprentissage automatique non supervisé pour la détection de trafics illégitimes. (Unsupervised machine learning for illegitimate traffic detection) PhD Theses 2023 (1); by Thi Quynh Nguyen
2023	Amélioration des systèmes de reconnaissance faciale par l'utilisation de caméra MSFA et des techniques d'intelligence artificielle. (Improvement of facial recognition systems using MSFA cameras and artificial intelligence techniques) PhD Theses 2023 (1); by Médégnonmi Eléonore Elvire Houssou
2023	Astronomical Image Time-series Classification Using Deep Learning. (Classification des Séries Temporelles d'Images Astronomiques Utilisant l'Apprentissage Profond) PhD Theses 2023 (1); by Anass Bairouk
2023	Machine learning and convolutional networks for an augmented expertise in biological dosimetry. (Apprentissage machine et réseaux de convolution pour une expertise augmentée en dosimétrie biologique) PhD Theses 2023 (1); by Antonin Deschemps
2023	Machine Learning for the real time detection and prediction of atmospheric turbulence on board of the aircraft. (Application des techniques d'apprentissage automatique pour la détection et la prédiction de turbulence d'aéronefs en vol) PhD Theses 2023 (1); by Tianyi Li
2023	Dé-identification des comptes rendus médicaux pour les tâches d'apprentissage automatique : application à l'association des codes CIM-10. (De-identification of medical reports for machine learning tasks : application to ICD-10 code association) PhD Theses 2023 (1); by Yakini Tchouka
2023	Designing smart home services using machine learning and knowledge-based approaches. (Conception de services pour maison intelligente à l'aide d'approches basées sur l'apprentissage automatique et la représentation de connaissances) PhD Theses 2023 (1); by Mingming Qiu
2023	An improved understanding of Paradoxical Insomnia: A knowledge-based approach using machine learning tools. (Une meilleure compréhension de l'insomnie paradoxale: une approche basée sur la connaissance utilisant des outils d'apprentissage automatique) PhD Theses 2023 (1); by Olivier Pallanca
2023	Improving the energy efficiency of signal processing and machine learning algorithms using unreliable memories. (Amélioration de l'efficacité énergétique d'algorithmes de traitement de signal et d'apprentissage automatique à l'aide de mémoires non fiables) PhD Theses 2023 (1); by Jonathan Kern
2023	Représentation et analyse de séries temporelles par apprentissage profond pour la maintenance prédictive, application au systèmes propulsifs du Naval de Défense. (Representation and analysis of time series by deep learning for predictive maintenance, application to naval defence propulsion systems) PhD Theses 2023 (1); by Guillaume Chambaret
2023	Methodology for Design and Analysis of Machine Learning Competitions. (Méthodologie pour la conception et l'analyse de compétitions en apprentissage automatique) PhD Theses 2023 (1); by Adrien Pavão
2023	Contributions for indexing Historical Arabic Documents using Deep Learning approaches. (Contributions pour l'indexation de documents historiques arabes en utilisant des approches d'apprentissage profond (Deep Learning)) PhD Theses 2023 (1); by Abir Fathallah
2023	Prédiction des parcours sous l'angle médico-économique: Une approche basée sur l'intelligence artificielle. (Prediction of pathways from a medico-economic perspective: An approach based on artificial intelligence) PhD Theses 2023 (1); by Alice Martin
2023	Étude des méthodes d'intelligence artificielle pour la navigation des projectiles. (Study of artificial intelligence methods for projectile navigation) PhD Theses 2023 (1); by Alicia Roux
2023	DCA-based machine learning techniques with applications in finance and healthcare. (Techniques d'apprentissage automatique basées sur DCA avec des applications dans la finance et la santé) PhD Theses 2023 (1); by Tuan Van Pham
2023	Deep learning solutions to some prediction problems in finance. (Solutions d'apprentissage profond à quelques problèmes de prédiction en finance) PhD Theses 2023 (1); by Qinkai Chen
2023	Protecting Deep Learning Systems Against Attack: Enhancing Adversarial Robustness and Detection. (Protéger les systèmes de deep learning face aux attaques: améliorer la robustesse adversaire et la détection) PhD Theses 2023 (1); by Marine Picot
2023	Nouvelles méthodes d'apprentissage automatique pour la planification des réseaux mobiles. (New machine learning methods for mobile network planning) PhD Theses 2023 (1); by Danny Qiu
2023	Deep Learning on Incomplete and Multi-Source Data: Application to Cancer Immunotherapy. (Apprentissage profond à partir de données incomplètes et multi-sources: application à l'immunothérapie contre le cancer) PhD Theses 2023 (1); by Thomas Ranvier
2023	Machine learning for human behavioral discovery. (Apprentissage machine pour la découverte du comportement humain) PhD Theses 2023 (1); by Anna Aniszewska-Stepien
2023	Deep learning augmented single molecule localization microscopy reconstruction: enhancing robustness and moving towards live cells. (Reconstruction de la microscopie de localisation à molécule unique assistée par l'apprentissage profond: amélioration de la robustesse et avancée vers les cellules vivantes) PhD Theses 2023 (1); by Jiachuan Bai
2023	Diagnostic et commande tolérante aux défauts des systèmes énergétiques en utilisant l'intelligence artificielle. (Diagnosis and fault-tolerant control of energy systems using artificial intelligence) PhD Theses 2023 (1); by Yanis Masdoua
2023	Acceleration of Numerical Simulations with Deep Learning : Application to Thermodynamic Equilibrium Calculations. (Accélération des Simulations Numériques avec l'Apprentissage Profond : Application aux Calculs d'Équilibre Thermodynamique) PhD Theses 2023 (1); by Jingang Qu
2023	Explainability for Machine Learning Models: From Data Adaptability to User Perception: Strategies for Faithful and Understandable Explanations. (Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur / Explicabilité des modèles d'apprentissage automatique : De l'adaptabilité des données à la perception de l'utilisateur: Stratégies pour des explications fidèles et compréhensibles) PhD Theses 2023 (1); by Julien Delaunay
2023	Symbolic approaches for explainable artificial intelligence. (Approches symboliques pour une intelligence artificielle explicable) PhD Theses 2023 (1); by Matthieu Bellucci
2023	Machine Learning of Emotional Expressions In the Wild from Acoustic Signals and Text. (Apprentissage automatique des expressions émotionnelles à partir de signaux acoustiques et de textes) PhD Theses 2023 (1); by Sina Alisamir
2023	Modèles d'apprentissage profond hiérarchiques et semi-supervisés sur systèmes embraqués pour l'agriculture intelligente. (Hierarchical and semi-supervised deep learning models on embedded systems for intelligent agriculture) PhD Theses 2023 (1); by Guillaume Heller
2023	Applications of Artificial Intelligence to Control and Analyze the Performance of Fiber-Optic Transmission Systems. (Intelligence artificielle pour optimiser la capacité et contrôler les systèmes de transmission sur fibres optiques) PhD Theses 2023 (1); by Xiaoyan Ye
2023	Hybrid combinatorial optimization and machine learning algorithms for energy efficient water networks. (Algorithmes hybrides d'optimisation combinatoire et d'apprentissage automatique pour l'efficacité énergétique des réseaux d'eau potable) PhD Theses 2023 (1); by Amirhossein Tavakoli
2023	Analyzing and explaining data-driven Artificial Intelligence Models by argumentation. (Analyse et explication par des techniques d'argumentation de modèles d'intelligence artificielle basés sur des données) PhD Theses 2023 (1); by Henri Trenquier
2023	Deep Learning in Neuroimaging for Multiple Sclerosis. (Apprentissage Profond en Neuroimagerie pour la Sclérose en Plaques) PhD Theses 2023 (1); by Reda Abdellah Kamraoui
2023	Deep learning for stuttering detection. (Apprentissage profond pour la détection du bégaiement) PhD Theses 2023 (1); by Shakeel Ahmad Sheikh
2023	Designing Visual Explanations of Deep Learning Classifiers Decisions in Medical Image Analysis. (Élaboration d'Explications Visuelles des Décisions de Classifieurs entrainés par Apprentissage Profond en Imagerie Médicale) PhD Theses 2023 (1); by Martin Charachon
2023	Adaptive deep learning models for omnidirectional images : from perception to navigation. (Modèles d'apprentissage profond adaptés aux images omnidirectionnelles : de la perception à la navigation) PhD Theses 2023 (1); by Charles-Olivier Artizzu
2023	Exploring the Intersection of Bayesian Deep Learning and Gaussian Processes. (Explorer l'intersection entre l'apprentissage profond bayésien et les processus gaussiens) PhD Theses 2023 (1); by Bogdan L. Kozyrskiy
2023	Deep learning for ocean satellite altimetry : specificities and practical implications. (Apprentissage profond pour l'altimétrie satellitaire océanique : spécificités et implications pratiques) PhD Theses 2023 (1); by Quentin Febvre
2023	Artificial Intelligence in Radiolarian Fossil Identification; Taxonomic, Biostratigraphic and Evolutionary implications. (Intelligence artificielle appliquée à la détermination des radiolaires fossiles ; implications taxonomiques, biostratigraphiques et évolutives) PhD Theses 2023 (1); by Veronica Carlsson
2023	Predictive maintenance of aircraft bleed air systems : an approach based on machine learning and variational autoencoders. (Maintenance prédictive des systèmes d'air d'avion : une approche basée sur l'apprentissage automatique et les autoencodeurs variationnels) PhD Theses 2023 (1); by William Todo
2023	Deep Learning methods for monocular 3D vision systems. (Méthodes d'apprentissage profond pour systèmes de vision 3D) PhD Theses 2023 (1); by Rémy Leroy
2023	Low-light image restoration with deep learning techniques. (Restauration d'images à faible luminosité à l'aide de méthodes d'apprentissage profond) PhD Theses 2023 (1); by Arthur Lecert
2023	Enhancements in Embedded Systems Security using Machine Learning. (Améliorations de la sécurité des systèmes embarqués avec Apprentissage automatique) PhD Theses 2023 (1); by Ritu Ranjan Shrivastwa
2023	Versatile machine learning for neurodevelopmental imaging. (Apprentissage statistique versatile pour la microscopie appliquée au neurodéveloppement) PhD Theses 2023 (1); by Seongbin Lim
2023	Deep Learning-based Speaker Verification In Real Conditions. (Identification du locuteur par apprentissage profond en conditions réelles) PhD Theses 2023 (1); by Sandipana Dowerah
2023	An innovative ecosystem based on deep learning : Contributions for the prevention and prediction of diabetes complications. (Un écosystème innovant d'intelligence artificielle : Contributions avec le deep learning pour la prévention et la prédiction des complications du diabète) PhD Theses 2023 (1); by Mohammud Shaad Ally Toofanee
2023	Deep learning methods for Action Unit detection. (Méthodes d'apprentissage profond pour la détection d'Action Unit) PhD Theses 2023 (1); by Gauthier Tallec
2023	Event reconstruction and analysis in CMS using artificial intelligence. (Reconstruction et analyse d'événements de l'experience CMS avec intelligence artificielle) PhD Theses 2023 (1); by Polina Simkina
2023	Apprentissage Profond pour l'Analyse d'Images Histopathologiques. (Deep Learning for Histopathological Image Analysis) PhD Theses 2023 (1); by Robin Heckenauer
2023	Deep Learning-based Methods for Radiotherapy Dose Optimization. (Apprentissage profond pour l'optimisation des doses en radiothérapie) PhD Theses 2023 (1); by Sonia Martinot
2023	Rare cortical folding patterns detection based on an unsupervised deep learning approach. (Détection de motifs rares de plissement cortical par une approche de deep learning non supervisée) PhD Theses 2023 (1); by Louise Guillon
2023	Force Field Parameterization in Molecular Simulation by Machine Learning Methods. (Paramétrisation des champs de force en simulation moléculaire par méthode d'apprentissage statistique) PhD Theses 2023 (1); by Gong Chen
2023	Méthode automatique à base de machine d'apprentissage pour le dépistage de la Dégénérescence Maculaire Liée à l'Age (DMLA) à partir des images captées par supports mobiles. (Automatic machine learning method for Age-related Macular Degeneration (AMD) screening, based on images captured by mobile devices) PhD Theses 2023 (1); by Sofien Bensayadia
2023	New Artificial Intelligence techniques for Computer vision based medical diagnosis. (Nouvelles techniques de l'intelligence artificielle pour le diagnostic médical basé sur la vision par ordinateur) PhD Theses 2023 (1); by Safaa El Morabit
2023	Chemically accurate simulations by machine learning correlated approximations. (Simulations chimiquement précises par apprentissage automatique d'approximations corrélées) PhD Theses 2023 (1); by Basile Herzog
2023	Machine Learning for the Automation of Cyber-threat Monitoring and Inference. (Apprentissage automatique pour l'automatisation de la surveillance et l'inférence des cybermenaces) PhD Theses 2023 (1); by Mehdi Zakroum
2023	Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints. (Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints) PhD Theses 2023 (1); by Ruta Binkyte
2023	Machine learning for ESG data in the financial industry. (Apprentissage automatique pour les données ESG dans l'industrie financière) PhD Theses 2023 (1); by Jeremi Assael
2023	Out-of-distribution Generalization in Deep Learning : Classification and Spatiotemporal Forecasting. (Généralisation hors-distribution en apprentissage profond : classification et prévision spatiotemporelle) PhD Theses 2023 (1); by Matthieu Kirchmeyer
2023	Uncertainty-based Deep Learning Methods for Robust and Reliable Cardiac MRI Segmentation and Analysis. (Méthodes d'apprentissage profond basées sur l'incertitude pour une segmentation et une analyse robustes et fiables de l'IRM cardiaque) PhD Theses 2023 (1); by Tewodros Weldebirhan Arega
2023	Les données ouvertes et l'Intelligence Artificielle (IA) peuvent-elles favoriser la mutation de l'industrie française vers un système productif plus résilient ? : Vers une approche novatrice pour renforcer l'industrie française et favoriser la résilience face aux défis économiques et environnementaux. (Can open data and artificial intelligence foster the mutation of the French industry towards a more resilient production system?) PhD Theses 2023 (1); by Arnault Pachot
2023	Explaining machine learning models on graphs by identifying hidden structures built by GNNs. (Expliquer les modèles d'apprentissage automatique sur des graphes en identifiant les structures cachées construites par les GNN) PhD Theses 2023 (1); by Luca Veyrin-Forrer
2023	Intégration de données provenant de réseaux de capteurs multisondes pour évaluer les scénarios de risque dans les systèmes hydrothermaux volcaniques. (Deep Learning analysis of multiprobe sensor networks to assess risk scenarios at volcanic hydrothermal systems) PhD Theses 2023 (1); by Michail Giannoulis
2023	Optimisation of Energy Consumption of Data Center using Artificial Intelligence. (Optimisation de la consommation d'énergie dans les Data Center via une méthode d'intelligence artificielle) PhD Theses 2023 (1); by Léo Grill
2023	Exploiting Problem Structure in Privacy-Preserving Optimization and Machine Learning. (Exploitation de la Structure des Problèmes en Optimisation et en Apprentissage Automatique Respectueux de la Vie Privée) PhD Theses 2023 (1); by Paul Mangold
2023	Deep Learning Methods for Grading Head and Neck Squamous Lesions from Whole Slide Images. (Méthodes d'apprentissage automatisé pour l'amélioration du diagnostic des cancers épidermoïdes du larynx à partir d'images histologiques) PhD Theses 2023 (1); by Melanie Lubrano di Scandalea
2023	Resource constrained project scheduling problem (RCPSP) using artificial intelligence. (Automatisation de la planification dynamique de projet à ressource limitée par l'intelligence artificielle) PhD Theses 2023 (1); by Amir Golab
2023	Medical image segmentation with belief function theory and deep learning. (Segmentation d'images médicales avec la théorie de la fonction de croyance et l'apprentissage en profondeur) PhD Theses 2023 (1); by Ling Huang
2023	Methods and frameworks of annotation cost optimization for deep learning algorithms applied to medical imaging. (Méthodes et systèmes d'optimisation de la charge d'annotation en imagerie médicale pour les algorithmes d'apprentissage) PhD Theses 2023 (1); by Camille Ruppli
2023	Vehicular Network based On 2-Step Prediction, Deep Learning Algorithm and Basic Safety Messages. (Système de détection de comportement suspect sur le réseau de véhicules basé sur la prédiction en deux étapes, l'algorithme d'apprentissage profond et les messages de sécurité de base) PhD Theses 2023 (1); by Nur Cahyono Kushardianto
2023	Financial Fraud Detection Using Artificial Intelligence Techniques and Approaches. (Détection de la fraude financière à l'aide de techniques et d'approches d'intelligence artificielle) PhD Theses 2023 (1); by Adamu Hussaini
2023	Méthodologie de conception et d'utilisation d'algorithme d'intelligence artificielle à partir de données à caractère sensible : étude et application à la reconnaissance acoustique sous-marine. (A methodology for machine learning models training on confidential data) PhD Theses 2023 (1); by Tomas Laborde
2023	Embedded-AI-enabled semantic IoT platform for agroecology. (Plateforme IoT sémantique compatible avec l'IA embarquée pour l'agroécologie) PhD Theses 2023 (1); by Nicolas Chollet
2023	Assessment of Speech Intelligibility using Deep Learning - Towards Enhanced Interpretability in Clinical Phonetics: Application to speech disorders due to Head and Neck Cancers. (Évaluation de l'intelligibilité de la parole par apprentissage profond - Vers plus d'interprétabilité en phonétique clinique) PhD Theses 2023 (1); by Sondes Abderrazek
2023	Contributions aux ombres et jumeaux numériques dans l'industrie : proposition d'une stratégie de couplage entre modèles de simulation et d'apprentissage automatique appliquée aux scieries. (Toward industrial digital shadows and twins : a novel strategy to couple simulation and machine learning models, applied to the lumber industry) PhD Theses 2023 (1); by Sylvain Chabanet
2023	Towards Securing Machine Learning Algorithms through Misclassification Detection and Adversarial Attack Detection. (Vers la Sécurisation des Algorithmes d'Apprentissage Automatique par Misclassification Detection et Adversarial Attack Detection) PhD Theses 2023 (1); by Federica Granese
2023	Intégration hiérarchique de données d'imagerie cardiaque par apprentissage automatique. (Hierarchical integration of cardiac imaging data with machine learning) PhD Theses 2023 (1); by Benoît Freiche
2023	Algorithms and evaluation metrics for improving trust in machine learning : application to visual object recognition. (Algorithmes et métriques d'évaluation pour la confiance dans les systèmes utilisant l'apprentissage machine : application à la reconnaissance visuelle d'objets) PhD Theses 2023 (1); by Romain Xu-Darme
2023	Combining differential privacy and homomorphic encryption for privacy-preserving collaborative machine learning. (Approches combinant confidentialité différentielle et chiffrement homomorphe pour la protection des données en apprentissage automatique collaboratif) PhD Theses 2023 (1); by Arnaud Grivet Sébert
2023	Apprentissage profond sans supervision directe pour le traitement automatique des langues. (Weakly Supervised Deep Learning for Natural Language Processing) PhD Theses 2023 (1); by Paul Caillon
2023	Apprentissage profond pour la segmentation, la classification et la caractérisation géométrique de vaisseaux. (Deep learning for segmentation, classification, and geometric characterization of vessels) PhD Theses 2023 (1); by Mounir Lahlouh
2023	Knowledge graph construction from texts with an explainable, human-centered Artificial Intelligence. (Construction de graphes de connaissances à partir de textes avec une intelligence artificielle explicable et centrée-utilisateur·ice) PhD Theses 2023 (1); by H. Ambre Ayats
2023	Towards Robust Deep Learning Methods for Time Series Data and their Applications. (Vers des Méthodes Robustes d'Apprentissage Profond pour les Données de Séries Temporelles et leurs Applications) PhD Theses 2023 (1); by Chrysoula Kosma
2023	Modularity in deep learning. (Modularité dans l'apprentissage profond) PhD Theses 2023 (1); by Haozhe Sun
2023	Prévision de la demande par apprentissage automatique pour le dimensionnement et la gestion de stocks des médicaments dans les pharmacies hospitalières. (Machine learning based demand forecasting for inventory sizing and management of medicines in hospital pharmacies) PhD Theses 2023 (1); by Denis Koala
2023	Deep learning-based image segmentation methods in the treatment of benign and malignant uterine tumor diseases. (Méthodes de segmentation d'images basées sur l'apprentissage profond dans le traitement des tumeurs bénignes et malignes de l'utérus) PhD Theses 2023 (1); by Chen Zhang
2023	Contribution of Sentinel-1&2 imagery and deep learning methods for land use land cover mapping and monitoring. (Apport des images Sentinel-1&2 et des méthodes d'apprentissage profond pour la cartographie et le suivi des modes d'occupation des sols) PhD Theses 2023 (1); by Romain Wenger
2023	Machine learning techniques for automatic knowledge graph completion. (Méthodes d'apprentissage automatique pour la complétion de graphes de connaissances) PhD Theses 2023 (1); by Armand Boschin
2023	Machine learning for determining continuous conformational transitions of biomolecular complexes from single-particle cryo-electron microscopy images. (Apprentissage automatique pour la détermination des transitions conformationnelles continues de complexes biomoléculaires à partir des images de cryo microscopie électronique) PhD Theses 2023 (1); by Ilyes Hamitouche
2023	Leveraging machine learning for multi-source data enrichment and analytics in air quality monitoring and crowd sensing. (Application de l'apprentissage automatique à l'enrichissement et l'analyse de données multi-sources dans la surveillance de la qualité de l'air et la collecte participative) PhD Theses 2023 (1); by Mohammad Abboud
2023	Deep learning for continuous parking occupancy forecasting in urban environments. (Apprentissage profond pour la prévision continue de l'occupation du parking en milieu urbain) PhD Theses 2023 (1); by Miratul Khusna Mufida
2023	Automatic analysis of cardiac function with artificial intelligence : multimodal approach for portable echocardiographic devices. (Analyse automatique de la fonction cardiaque par intelligence artificielle : approche multimodale pour un dispositif d'échocardiographie portable) PhD Theses 2023 (1); by Yingyu Yang
2023	Optimizing Deep Learning: Navigating the Field of Neural Architecture Search from Theory to Practice. (Optimiser l'apprentissage profond: Explorer la recherche d'architecture neuronale, de la théorie à la pratique) PhD Theses 2023 (1); by Meyssa Zouambi
2023	Modéles formels pour l'IA explicable: des explications pour les arbres de décision. (Formal Models for Explainable AI: Explanations for Decision Trees) PhD Theses 2023 (1); by Louenas Bounia
2023	Machine Learning for beam Alignment in mmWave massive MIMO. (Apprentissage automatique pour l'Alignement des faisceaux pour les systèmes MIMO massifs à ondes millimétriques) PhD Theses 2023 (1); by Mohamed Aymen Ktari
2023	Machine learning for timing estimation. (apprentissage automatique pour l'estimation du temps d'exécution) PhD Theses 2023 (1); by Abderaouf Nassim Amalou
2023	Secure and Privacy-preserving Federated Learning with Explainable Artificial Intelligence for Smart Healthcare System. (Apprentissage fédéré sécurisé et préservant la confidentialité avec intelligence artificielle explicable pour les systèmes intelligents dans le domaine de la santé) PhD Theses 2023 (1); by Ali Raza
2023	Explainable Deep Learning for the Application to Multimodal Data. (Apprentissage Profond explicable Application sur les données multimodales) PhD Theses 2023 (1); by Rupayan Mallick
2023	Apprentissage profond pour le trafic réseau: classification, génération et compression. (Deep learning for network traffic: classification, generation and compression) PhD Theses 2023 (1); by Fabien Meslet-Millet
2023	Unsupervised deep learning for spatio-temporal representations of videos: application to video surveillance. (Apprentissage profond non supervisé pour les représentations spatio-temporelles de vidéos : application à la vidéosurveillance) PhD Theses 2023 (1); by Devashish Lohani
2023	Detection and correction of positioning errors on a high-precision GNSS receiver by hybridisation with other sensors and Machine Learning. (Détection et la correction d'erreurs de positionnement sur un récepteur GNSS de positionnement haute précision par hybridation avec d'autres capteurs et apprentissage automatique) PhD Theses 2023 (1); by Anthony Guillard
2023	Applications of AI to study of finite algebraic structures and automated theorem proving. (Applications de l'IA à l'étude des structures algébriques finies et à la démonstration automatique de théorèmes) PhD Theses 2023 (1); by Boris Shminke
2023	Towards the generation of glioblastoma atlases with deep learning methods : Tumor segmentation and metamorphic image registration. (Vers la génération d'altlas de glioblastomes avec des méthodes d'apprentissage profond : Segmentation de tumeurs et recalage métamorphique d'images) PhD Theses 2023 (1); by Matthis Maillard
2023	Génération et Évaluation de Visualisations avec des techniques d'Apprentissage Automatique. (Generation and Evaluation of Visualizations with Machine Learning Techniques) PhD Theses 2023 (1); by Loann Giovannangeli
2023	Deep learning for adaptive 360° video streaming in virtual reality. (Deep learning pour le streaming adaptatif de vidéos à 360° en réalité virtuelle) PhD Theses 2023 (1); by Quentin Guimard
2023	Apports de l'Intelligence Artificielle pour les écoulements gravitaires. (Contribution of Artificial Intelligence to gravity flows) PhD Theses 2023 (1); by Mickaël Delcey
2023	Détection et attribution du changement climatique à l'aide de réseaux de neurones. (Detection and attribution of climate change with the use of machine learning) PhD Theses 2023 (1); by Constantin Bone
2023	Post-hoc Explainable AI for Black Box Models on Tabular Data. (L'IA Explicable a posteriori pour les modèles de boîte noire sur les données tabulaires) PhD Theses 2023 (1); by Nedeljko Radulovic
2023	Optimization of passenger flows and resources management through machine learning and constraint programming techniques. (Optimisation des flux passagers et de la gestion de ressources via des techniques d'apprentissage automatique et de programmation par contraintes) PhD Theses 2023 (1); by Thibault Falque
2023	Quantum many-body dynamics for combinatorial optimisation and machine learning. (Dynamique quantique à N-corps pour l'optimisation combinatoire et le machine learning) PhD Theses 2023 (1); by Constantin Dalyac
2023	Unveiling the Transport Dynamics of Neural Networks : a Least Action Principle for Deep Learning. (La dynamique de transport des réseaux de neurones : un principe de moindre action pour l'apprentissage en profondeur) PhD Theses 2023 (1); by Skander Karkar
2023	Radiomics and Artificial Intelligence for personalized treatment of HPV-induced cancers. (Radiomique et Intelligence Artificielle pour un traitement personnalisé des cancers HPV-induits) PhD Theses 2023 (1); by Stéphane Niyoteka
2023	Deep learning for the detection of neurological diseases. (Apprentissage profond pour la prédiction des maladies neurologiques) PhD Theses 2023 (1); by Huy-Dung Nguyen
2023	Deep multimodal visual data fusion for outdoor scenes analysis in challenging weather conditions. (Deep Learning pour la fusion multimodale d'images : application à l'analyse de scènes extérieures dans des conditions difficiles) PhD Theses 2023 (1); by Sijie Hu
2023	Deep learning for skeletal character animation: topology editing, retargeting and cleaning. (Apprentissage profond pour l'animation du squelette de personnages virtuels: édition de la topologie, squeletto-morphose et nettoyage) PhD Theses 2023 (1); by Lucas Mourot
2023	Mining Software Logs with Machine Learning Techniques. (Exploitation de journaux logiciels avec des techniques d'apprentissage automatique) PhD Theses 2023 (1); by Bahareh Afshinpour
2023	Segmentation et détection de lésions cérébrales combinant apprentissage profond et factorisation à partir d'IRM multi-paramétriques. (Brain Lesion Segmentation and Detection on Multi-parametric MRI Data : Marrying Deep Learning with Low-rank Factorization) PhD Theses 2023 (1); by Pooya Ashtari
2023	Exploring fairness and privacy in machine learning. (Exploring fairness and privacy in machine learning) PhD Theses 2023 (1); by Carlos Pinzón
2023	Bayesian Deep Learning for Mining and Analyzing Astronomical Data. (Apprentissage profond bayésien pour l'analyse de données d'astronomie) PhD Theses 2023 (1); by Claire Theobald
2023	AI-based selection of imaging and biological markers predictive of therapy response in lung cancer. (Sélection de biomarqueurs basée sur l'IA pour prédire la réponse au traitement du cancer du poumon) PhD Theses 2023 (1); by Paul Tourniaire
2023	Deep learning multi-modal fusion based 3D object detection. (Détection d'objets 3D par fusion multimodale basée sur l'apprentissage profond) PhD Theses 2023 (1); by Haodi Zhang
2023	Analyse, détection et quantification de la controverse dans les médias sociaux par l'utilisation de modèle d'apprentissage profond sur des données structurelles et textuelles. (Analysis, detection and quantification of controversy on social media using deep learning models on structural and textual data) PhD Theses 2023 (1); by Samy Benslimane
2023	Constrained deep learning for MEMS sensors-based applications. (Deep Learning contraint pour la résolution de problèmes algorithmiques appliqués aux capteurs MEMS (Microsystème Electromécanique)) PhD Theses 2023 (1); by Minh Tri Lê
2023	Approches de machine learning pour le diagnostic de processus de production automobile. (Machine learning approaches for automotive production process diagnosis) PhD Theses 2023 (1); by Alexandre Gaffet
2023	Physics-Aware Deep Learning and Dynamical Systems : Hybrid Modeling and Generalization. (Apprentissage profond pour la physique et les systèmes dynamiques : modélisation hybride et généralisation) PhD Theses 2023 (1); by Yuan Yin
2023	Unchaining Microservice Chains: Machine Learning Driven Optimization in Cloud Native Systems PhD Theses 2023 (1); by Michel Gokan Khan
2023	Designing Advertisement Systems with Human-centered Artificial Intelligence PhD Theses 2023 (1); by Johannes Sahlin
2023	Machine learning-based diagnostics and observability in mobile networks PhD Theses 2023 (1); by Tobias Sundqvist
2023	Improving the Precision of Automatic Program Repair with Machine Learning PhD Theses 2023 (1); by He Ye
2023	Enhancing Machine Failure Detection with Artificial Intelligence and sound Analysis PhD Theses 2023 (1); by Thanh Tran
2023	Source Code Representations of Deep Learning for Program Repair PhD Theses 2023 (1); by Zimin Chen
2023	Data-driven quality management using explainable machine learning and adaptive control limits PhD Theses 2023 (1); by Niklas Fries
2023	Robust Machine Learning by Transforming and Augmenting Imperfect Training Data PhD Theses 2023 (1); by Elliot Creager
2023	Towards Trustworthy Machine Learning in High-Stakes Decision-Making Systems PhD Theses 2023 (1); by David Madras
2023	Machine learning and unlearning for IoT anomaly detection PhD Theses 2023 (1); by Jiamin Fan
2023	Satisfying Model Validity for Robust Clinical Machine Learning for Time-Series PhD Theses 2023 (1); by Bret Nestor
2023	Deep Learning Dynamics: From Minimization to Games PhD Theses 2023 (1); by Guodong Zhang
2023	Machine Learning for Improved Weather and Climate Predictions PhD Theses 2023 (1); by Soukayna Mouatadid
2023	Scalable and Interpretable Machine Learning for Scientific Discovery PhD Theses 2023 (1); by Daniel Flam-Shepherd
2023	An explainable AI approach to process data in mixed reality environments for field service operations PhD Theses 2023 (1); by Hugo Leon-Garza
2023	Fuzzing software with deep learning PhD Theses 2023 (1); by Martin Sablotny
2023	Deep learning for trading and hedging in financial markets PhD Theses 2023 (1); by Zheng Gong
2023	Diagnosing brain tumours through functional imaging and machine learning PhD Theses 2023 (1); by Dadi Zhao
2023	Essays on human-AI interactions for digital innovation: innovation agency and the future of AI PhD Theses 2023 (1); by Soo Young Choi
2023	Calibrating trust between humans and artificial intelligence systems PhD Theses 2023 (1); by Martin Ingram
2023	Evasion-aware botnet detection using artificial intelligence PhD Theses 2023 (1); by Rizwan Hamid Randhawa
2023	Medical image classification using deep learning techniques and uncertainty quantification PhD Theses 2023 (1); by Zakaria Senousy
2023	A distributed and real-time machine learning framework for smart meter big data PhD Theses 2023 (1); by Shuang Dai
2023	AI for time-resolved imaging: from fluorescence lifetime to single-pixel time of flight PhD Theses 2023 (1); by Valentin Kapitany
2023	Explainable deep learning-based EEG analysis for biomarker discovery and its application on depersonalisation/derealisation disorder PhD Theses 2023 (1); by Abbas Salami
2023	Modelling cancer evolution with machine learning PhD Theses 2023 (1); by Xinyu Yang
2023	Authorship and AI: infinite production, automated communication, and the illusion of a post-human culture PhD Theses 2023 (1); by John Andrew McIntyre
2023	Secure monitoring system for industrial Internet of Things using searchable encryption, access control and machine learning PhD Theses 2023 (1); by Jawhara Aljabri
2023	Machine learning modelling of critical care patients in the Intensive Care Units PhD Theses 2023 (1); by Mark Pieroni
2023	Application of Machine Learning techniques for biomaterials design PhD Theses 2023 (1); by Leonardo Contreas
2023	The Applicability of Fuzzy Theory in Machine Learning PhD Theses 2023 (1); by Abrar Hussain
2023	Adaptation of Speaker and Speech Recognition Methods for the Automatic Screening of Speech Disorders using Machine Learning PhD Theses 2023 (1); by José Vicente Egas López
2023	Artificial Intelligence Forecasting Techniques For Reducing Uncertainties In Renewable Energy Applications PhD Theses 2023 (1); by Saleh Alshafeey Mutaz Abdelrazzaq
2023	How Machine Learning Enables Automated Side-Channel Detection PhD Theses 2023 (1); by Jan Peter Drees
2023	AI-based Situation Awareness for Smart Environment PhD Theses 2023 (1); by Yang Yu
2023	Virtual sensors: enhancing sensor capabilities via machine learning across internet of things ecosystems PhD Theses 2023 (1); by Dominik Martin
2023	Deep Learning Meets Visual Localization PhD Theses 2023 (1); by Qunjie Zhou
2023	Privacy risk assessment of emerging machine learning paradigms PhD Theses 2023 (1); by Xinlei He
2023	Transfer Learning for Automated Machine Learning: Meta-feature Learning, Black-box Hyperparameter Optimization and Applications PhD Theses 2023 (1); by Hadi S. Jomaa
2023	Datenzentriertes Deep Learning dür die Hochdurchsatzbildverarbeitung in interdisziplinären Projekten PhD Theses 2023 (1); by Marcel P. Schilling
2023	Improved machine learning approaches designed and validated in different engineering application fields PhD Theses 2023 (1); by Xiao Wei
2023	Validation of Machine Learning Algorithms by Design with Applications for Automated Driving PhD Theses 2023 (1); by Oliver Gallitz
2023	Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data and Simplifying Meta Level Decisions PhD Theses 2023 (1); by Alexander Tornede
2023	Multi-view learning and explainable artificial intelligence for real estate appraisal: von Jan-Peter Kucklick PhD Theses 2023 (1); by Jan-Peter Kucklick
2023	Multiple Object Tracking in Light Microscopy Images Using Graph-based and Deep Learning Methods PhD Theses 2023 (1); by Katharina Löffler
2023	Deep Learning-Based Particle Detection and Instance Segmentation for Microscopy Images PhD Theses 2023 (1); by Tim Scherr
2023	Deep learning on point clouds with applications in vehicle self-localization PhD Theses 2023 (1); by Nico Engel
2023	Understanding deep learning PhD Theses 2023 (1); by Christian Reimers
2023	On the privacy risks of machine learning models PhD Theses 2023 (1); by Zheng Li
2023	Machine learning to support physicians in endoscopic examinations with a focus on automatic polyp detection in images and videos PhD Theses 2023 (1); by Adrian Krenzer
2023	An interdisciplinary concept for human-centered explainable artificial intelligence - Investigating the impact of explainable AI on end-users PhD Theses 2023 (1); by Katharina Weitz
2023	On Machine Learning Assisted Software Maintainability Assessments PhD Theses 2023 (1); by Markus Schnappinger
2023	Deep learning approaches for adaptive audio processing and binary classification in digital health PhD Theses 2023 (1); by Shuo Liu
2023	From Cognition 2 Applications: Bridging the Gap between Formal Education & AI PhD Theses 2023 (1); by Junaid Younas
2023	Machine learning systems for human emotional states PhD Theses 2023 (1); by David Bethge
2023	Evaluating Architectural Safeguards for Uncertain AI Black-Box Components PhD Theses 2023 (1); by Max Scheerer
2023	Novel Machine Learning Algorithms for NP-hard Combinatorial Problems PhD Theses 2023 (1); by Annika Tonnius
2023	Analysis of textual variants with robust machine learning methods: Towards novel insights for the digital humanities PhD Theses 2023 (1); by David Lassner
2023	Robustifying machine learning through weakening supervision PhD Theses 2023 (1); by Julian Lienen
2023	Scalable Distributed Machine Learning for Knowledge Graphs PhD Theses 2023 (1); by Carsten Felix Draschner
2023	Explainable Artificial Intelligence for Image Segmentation and for Estimation of Optical Aberrations PhD Theses 2023 (1); by Kira Vinogradova
2023	Relevance Based Radio Resource Management for Machine Learning Units PhD Theses 2023 (1); by Afsaneh Gharouni
2023	AI-enabled log analysis for improving IT system dependability PhD Theses 2023 (1); by Jasmin Bogatinovski
2023	A scalable machine learning system for anomaly detection in manufacturing PhD Theses 2023 (1); by Thomas Schlegl
2023	Artificial intelligence and legal issues: a review of AI-based legal impasses in terms of criminal law PhD Theses 2023 (1); by Müslüm Fincan
2023	Comprehensive Evaluation of Machine Learning Experiments: Algorithm Comparison, Algorithm Performance and Inferential Reproducibility PhD Theses 2023 (1); by Michael Hagmann
2023	Implicit Object Pose Estimation on RGB Images Using Deep Learning Methods PhD Theses 2023 (1); by Timon Höfer
2023	Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data PhD Theses 2023 (1); by Lanxiao Li
2023	Exploring Neural Network Architectures with Automated Machine Learning Approaches PhD Theses 2023 (1); by Julian Burghoff
2023	Smart Process Engineering - Using Artificial Intelligence Tools to Learn from Graph-based Chemical Plant and Process Data / Jonas Eric Oeing PhD Theses 2023 (1); by Jonas Oeing
2023	Optimization Techniques for Data-Based Control and Machine Learning PhD Theses 2023 (1); by Katharina Bieker
2023	Annotation-Efficient Medical Imaging with Deep Learning PhD Theses 2023 (1); by Tariq M. Bdair
2023	Point cloud processing for environmental analysis in autonomous driving using deep learning PhD Theses 2023 (1); by Martin Simon
2023	Analyses and optimizations of timing-constrained embedded systems considering resource synchronization and machine learning approaches PhD Theses 2023 (1); by Junjie Shi
2023	Concepts to Computational Constructs: Advanced Scene Understanding for Heterogeneous Artworks Using Deep Learning PhD Theses 2023 (1); by Prathmesh Madhu
2023	Novel Architectures for Offloading and Accelerating Computations in Artificial Intelligence and Big Data PhD Theses 2023 (1); by Lukas Weber
2023	Development of machine learning enhanced density functional tight binding parametrization PhD Theses 2023 (1); by Guozheng Fan
2023	Learning to communicate: machine learning for the air interface PhD Theses 2023 (1); by Sebastian Dörner
2023	Using machine learning to predict pathogenicity of genomic variants throughout the human genome PhD Theses 2023 (1); by Philipp Rentzsch
2023	Testing of machine learning algorithms and models PhD Theses 2023 (1); by Arnab Sharma
2023	Optimizing I/O performance with machine learning supported auto-tuning PhD Theses 2023 (1); by Ayse Bagbaba
2023	Security of machine learning systems PhD Theses 2023 (1); by Thorsten Eisenhofer
2023	Segmentation and Tracking of Cells and Nuclei Using Deep Learning PhD Theses 2023 (1); by Peter Hirsch
2023	AI-based sensor fusion for perception in autonomous vehicles PhD Theses 2023 (1); by Leichen Wang
2023	Empirics-based Line Searches for Deep Learning PhD Theses 2023 (1); by Maximus Mutschler
2023	An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis PhD Theses 2023 (1); by Muhammad Nabeel Asim
2023	Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data PhD Theses 2023 (1); by Christian Haase-Schütz
2023	Solar irradiance forecast from all-sky images using machine learning PhD Theses 2023 (1); by Cristian Crisosto
2023	TimeFrame: A Novel Framework for Interpretable and Privacy-Preserving Deep Learning for Time Series Analysis PhD Theses 2023 (1); by Dominique Mercier
2023	Inductive Bias in Machine Learning PhD Theses 2023 (1); by Luca Rendsburg
2023	What does explainable AI explain? PhD Theses 2023 (1); by Timo Freiesleben
2023	Partitioning Point Clouds and Meshes with Deep Learning: Striving for a more Efficient and Effective Process in the Development of 3D Applications PhD Theses 2023 (1); by Marcel Tiator
2023	Towards efficient deep learning for computer vision PhD Theses 2023 (1); by Sudhanshu Mittal
2023	Machine learning under malware attack PhD Theses 2023 (1); by Raphael Labaca Castro
2023	Using machine learning in the medical field: speaker signal processing and distributed learning systems PhD Theses 2023 (1); by Mahdi Barhoush
2023	Active Deep Learning of Representations for Similarity Search PhD Theses 2023 (1); by Christoffer Löffler
2023	Essays on asset pricing and machine learning PhD Theses 2023 (1); by Matteo Bagnara
2023	Adaptive Automated Machine Learning PhD Theses 2023 (1); by Cedric Kulbach
2023	Informed Machine Learning: Integrating Prior Knowledge into Data-Driven Learning Systems PhD Theses 2023 (1); by Laura von Rüden
2023	Machine Learning for Kinase Drug Discovery PhD Theses 2023 (1); by Talia B. Kimber
2023	Trustworthy decentralized machine learning systems / von Konstantin Diego Pandl PhD Theses 2023 (1); by Konstantin D. Pandl
2023	Statistical and machine learning for credit risk parameter modeling PhD Theses 2023 (1); by Marvin Zöllner
2023	From Data to Insights: Unveiling Price Formation Processes in Direct Real Estate Markets with Machine Learning / Juergen Deppner ; Wolfgang Schäfers, Stephan Bone-Winkel PhD Theses 2023 (1); by Jürgen Deppner
2023	Towards privacy-preserving machine learning: generative modeling and discriminative analysis PhD Theses 2023 (1); by Dingfan Chen
2023	Deep Learning for Robust and Explainable Models in Computer Vision PhD Theses 2023 (1); by Mohammadreza Amirian
2023	Reducing the effort for data annotation: contributions to weakly supervised deep learning PhD Theses 2023 (1); by Jann Goschenhofer
2023	Deep learning mesh parameterization of 3D shapes: for 3D reconstruction, shape generation, noise filtering and mobile rendering PhD Theses 2023 (1); by Hardik Jain
2023	Data simulation in deep learning-based human recognition PhD Theses 2023 (1); by Dennis Burgermeister
2023	Explainable Machine Learning and its Limitations PhD Theses 2023 (1); by Sebastian Bordt
2023	Enhancing And Evaluating Interpretability In Machine Learning Through Theory And Practice PhD Theses 2023 (1); by Leon Sixt
2023	The integration of machine learning in the psychological research process: synergies and applications in theory and practice PhD Theses 2023 (1); by Simon Eisbach
2023	Mapping of a Machine Learning Algorithm Representation to Distributed Disaggregated FPGAs PhD Theses 2023 (1); by Burkhard Ringlein
2023	Towards improved seasonal climate predictions with artificial intelligence: an application on summer teleconnections / Julianna Carvalho Oliveira ; Gutachter: Prof. Dr. Johanna Baehrt, Dr. Eduardo Zorita PhD Theses 2023 (1); by Julianna C. Oliveira
2023	Deep Learning-based Head Orientation and Gender Estimation from Face Image PhD Theses 2023 (1); by Mohamed Selim
2023	Recognition of functional relationships between biomedical concepts in the scientific literature using text mining and machine learning PhD Theses 2023 (1); by Ammar Qaseem
2023	Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions PhD Theses 2023 (1); by Patrick Wenzel
2023	Point clouds and keypoint graphs in 3D deep learning for medical image analysis PhD Theses 2023 (1); by Lasse Hansen
2023	Statistical and Machine Learning Methods for Handling Selectivity in Non-Probability Samples PhD Theses 2023 (1); by Simon Lenau
2023	Reliable Machine Learning Methods in Image Forensics PhD Theses 2023 (1); by Benedikt Lorch
2023	Image classification and retrieval in the context of silk heritage using deep learning PhD Theses 2023 (1); by Mareike Dorozynski
2023	Contributions to Machine Learning in Automotive Camera and Radar Perception Systems: Applications of the Sampling Method in Image Classification and Deep Learning for Radar-Based Object Detection PhD Theses 2023 (1); by Weimeng Zhu
2023	On grouping and partitioning approaches in interpretable machine learning PhD Theses 2023 (1); by Julia Herbinger
2023	Visual Odometry Using Line Features and Machine Learning Enhanced Line Description PhD Theses 2023 (1); by Manuel Lange
2023	Causality concepts in machine learning: heterogeneous treatment effect estimation with machine learning & model interpretation with counterfactual and semi-factual explanations PhD Theses 2023 (1); by Susanne Dandl
2023	Physics-aware, probabilistic machine learning in the Small Data regime PhD Theses 2023 (1); by Sebastian Kaltenbach
2023	Machine learning-based predictive quality in manufacturing processes PhD Theses 2023 (1); by Hasan Tercan
2023	Statistical guarantees for regularized (approximate) estimators in machine learning PhD Theses 2023 (1); by Mahsa Taheri
2023	Recommending data preprocessing pipelines for machine learning applications in production PhD Theses 2023 (1); by Maik Frye
2023	Entwicklung und Implementierung eines AI-gesteuerten "Product Requirements Information Management System (PRIMS)" - Model für IT-Enterprises PhD Theses 2023 (1); by Serda Hauser
2023	Designing Deep Learning Frameworks for Plant Biology PhD Theses 2023 (1); by Lorenzo Cerrone
2023	Give and take between machine learning and experimental economics PhD Theses 2023 (1); by Benjamin Wegener
2023	Towards explainable automated machine learning PhD Theses 2023 (1); by Julia Moosbauer
2023	Deep Learning-based Decision Support Systems for Thyroid Cancer: the Pathogenesis, Diagnosis, and Prognosis PhD Theses 2023 (1); by Xinyu Zhang
2023	AI and learning analytics to improve peer review and feedback in learnersourcing PhD Theses 2023 (1); by Ali Darvishi
2023	Rogue one: rebelling against machine learning (in) security PhD Theses 2023 (1); by Fabricio Ceschin
2023	Deep Learning Methods for Simulation of Liquids (Deep Learning Methoden für die Simulation von Flüssigkeiten) PhD Theses 2023 (1); by Lukas Prantl
2023	Deep Learning for Human Motion: Advancing Trajectory Prediction and Multi-Object Tracking (Deep Learning für menschliche Bewegungsmodelle: Fortschritte in Trajektorienvorhersage und Personentracking) PhD Theses 2023 (1); by Patrick Dendorfer
2023	Enabling real-time light-field 3D fluorescence microscopy through computational microscopy and deep learning (Ermöglichung von Echtzeit-Lichtfeld-3D-Fluoreszenzmikroskopie durch computergestützte Mikroskopie und Deep Learning) PhD Theses 2023 (1); by Josué Page Vizcaíno
2023	Whole Brain Vasculature Analysis Using Advanced Learning Models (Fortgeschrittene Machine Learning Konzepte für die Analyse der Blutgefäße des Hirns) PhD Theses 2023 (1); by Johannes C. Paetzold
2023	Application of Artificial Intelligence algorithms to support decision-making in agriculture activities PhD Theses 2023 (1); by Khadijeh Alibabaei
2023	From artificial intelligence research to e-Democracy: contributions to political governance and state modernization PhD Theses 2023 (1); by João Carlos Gonçalves dos Reis
2023	Epiretinal Membrane Detection and Segmentation using Deep Learning PhD Theses 2023 (1); by Esther Parra-Mora
2023	A Predictive Maintenance Model based on Multivariate Analysis with Artificial Intelligence PhD Theses 2023 (1); by João Carlos Antunes Rodrigues
2023	Deep Learning based Computer Aided Diagnosis for Breast Cancer Screening PhD Theses 2023 (1); by Eduardo Castro
2023	Argumentation dialogues in web-based GDSS: an approach using machine learning techniques PhD Theses 2023 (1); by Luís Conceição
2023	Biomedical information extraction with natural language processing and machine learning methods PhD Theses 2023 (1); by Rui Antunes
2023	Decision support system for cardiology based on artificial intelligence PhD Theses 2023 (1); by Luís B. Elvas
2023	Uncertainty in machine learning a safety perspective on biomedical applications PhD Theses 2023 (1); by Marília Barandas
2023	Deep learning system for biomedical relation extraction combining external sources of knowledge PhD Theses 2023 (1); by Diana Sousa
2023	Explainable Deep Machine Learning for Medical Image Analysis PhD Theses 2023 (1); by Alex Gaudio
2023	Deep Learning Methods with Limited Data Sources PhD Theses 2023 (1); by Rui Silva
2023	Automated Macular Edema Detection and Segmentation in Optical Coherence Tomography Using Deep Learning PhD Theses 2023 (1); by Alex Cazañas-Gordón
2023	Introducing machine learning in K-12 education for the advancement of computational thinking PhD Theses 2023 (1); by Gilad Shamir
2023	Natural robustness of machine learning in the open world PhD Theses 2023 (1); by Hongxin Wei
2023	Robust AI: security and privacy issues in machine learning PhD Theses 2023 (1); by Nandish Chattopadhyay
2023	Deep learning for facial expression editing PhD Theses 2023 (1); by Rongliang Wu
2023	Modelling, exploration and optimization of hardware accelerators for deep learning applications PhD Theses 2023 (1); by Arko Dutt
2023	Trajectory data simplification, similarity search and inference with deep learning PhD Theses 2023 (1); by Zheng Wang
2023	Transferable and curious AI in sequential recommendation PhD Theses 2023 (1); by Yinan Zhang
2023	MPC-enabled privacy-preserving machine learning PhD Theses 2023 (1); by Ziyao Liu
2023	Lean evolutionary machine learning by multitasking simpler and hard tasks PhD Theses 2023 (1); by Nick Zhang
2023	Neural networks: deep learning strategies for problems with limited data PhD Theses 2023 (1); by Dimitrios Tsourounis
2023	Intrinsic interpretable machine learning frameworks for image classification PhD Theses 2023 (1); by Emmanuel Pintelas
2023	Tensor signal modeling for high-dimensional deep learning systems PhD Theses 2023 (1); by Michael Giannopoulos
2023	Utilizing deep learning and natural language processing to recognise chat-based social engineering attacks for cyber security situational awareness PhD Theses 2023 (1); by Nikolaos Tsinganos
2023	The role of educational technology, artificial intelligence, and gamification in improving education and students' cognitive and social-emotional development: development and evaluation of educational applications and serious games using extended reality and learning analytics PhD Theses 2023 (1); by Georgios Lampropoulos
2023	AI & ΙοΤ-enabled exergy optimization for carbon-neutral ship operation PhD Theses 2023 (1); by Dimitrios Kaklis
2023	User crowdsourced and crowdsensed data and artificial intelligence enhanced mobile apps for smart tourism and smart cities PhD Theses 2023 (1); by Aristea Kontogianni
2023	Deep learning for robotic visual perception PhD Theses 2023 (1); by Christos Papaioannidis
2023	Deep learning techniques in biomedical imaging PhD Theses 2023 (1); by Sofoklis Katakis
2023	Exploring Human and Artificial Intelligence Collaboration and Its Impact on Organizational Performance: A Multi-Level Analysis PhD Theses 2023 (1); by Timo Sturm
2023	Onboard condition monitoring of vehicle-track dynamic interaction using machine learning: Enabling the railway industry's digital transformation ; Tillståndsövervakning ombord av dynamisk interaktion mellan fordon och spår med hjälp av maskininlärning: Möjliggörande av järnvägsbranschens digitala transformation PhD Theses 2023 (1); by Rohan Kulkarni
2023	Application of Machine Learning and Optimization to Problems in Supply Network Management PhD Theses 2023 (1); by Alexey Lyutov
2023	Machine Learning for Information Exchange and Collaborative Inference over Wireless Channels PhD Theses 2023 (1); by Yashas Malur Saidutta
2023	Modeling the Abnormality: Machine Learning-based Anomaly and Intrusion Detection in Software-defined Networks PhD Theses 2023 (1); by Tapadhir Das
2023	Integrating Machine Learning Into Process-Based Modeling to Predict Ammonia Losses From Stored Liquid Dairy Manure PhD Theses 2023 (1); by Rana A. Genedy
2023	Toward Trustworthy Machine Learning with Blackbox and Whitebox Methods PhD Theses 2023 (1); by Ximing Qiao
2023	Machine learning methods for safety-critical systems with time dependency: With applications to airplane landings and environmental data PhD Theses 2023 (1); by Alise Danielle Midtfjord
2023	Leveraging deep learning for identification and structural determination of novel protein complexes from \(in\) \(situ\) electron cryotomography of \(Mycoplasma\) \(pneumoniae\) (Tiefenlernen als Werkzeug zur Identifizierung und Strukturbestimmung neuer Proteinkomplexe aus der \(in\)-\(situ\)-Elektronenkryotomographie von \(Mycoplasma\) \(pneumoniae\)) PhD Theses 2023 (1); by Joseph C. Somody
2023	DeepKit: a multistage exploration framework for hardware implementation of deep learning PhD Theses 2023 (1); by Mohammad Riazati
2023	A Geometric Framework for Adversarial Vulnerability in Machine Learning PhD Theses 2023 (1); by Brian Wesley Bell
2023	Machine Learning Approaches for Healthcare Analysis PhD Theses 2023 (1); by Bashier Elkarami
2023	Interaction Detection with Probabilistic Deep Learning for Genetics PhD Theses 2023 (1); by Tianyu Cui
2023	Leveraging Machine Learning for Improved Data Interpretation and Decision Making Under Uncertainty PhD Theses 2023 (1); by Mohammad Sadegh Majdi
2023	Automatic Extraction of Joint Characteristics from Rock Mass Surface Point Cloud Using Deep Learning PhD Theses 2023 (1); by Rushikesh Battulwar
2023	Machine Learning Techniques for Cancer Subtype Discovery and Single-cell RNA Sequencing Data Analysis PhD Theses 2023 (1); by Nho Trung Duc Tran
2023	Deep learning for characterizing full-color 3D printers: accuracy, robustness, and data-efficiency PhD Theses 2023 (1); by Dan-Wu Chen
2023	Privacy-preserving distributed machine learning for artificial intelligence of things PhD Theses 2023 (1); by Cristiano Gratton
2023	Adversarial Resilient and Privacy Preserving Deep learning PhD Theses 2023 (1); by Wenqi Wei
2023	Deep Learning for 3D Heart Shape Reconstruction in Echocardiography PhD Theses 2023 (1); by Fabian Laumer
2023	Deep Learning based frameworks for 3D registration of differential and multimodal data PhD Theses 2023 (1); by Evdokia Saiti
2023	Deep learning for vegetation classification from optical satellite image time series PhD Theses 2023 (1); by Mehmet Ozgur Turkoglu
2023	Model-based Multi-agent Reinforcement Learning for AI Assistants PhD Theses 2023 (1); by Mustafa Mert Çelikok
2023	Applying Machine Learning Techniques to Enhance the Performance of Internet of Things Stack Services ; Primjena strojnog učenja za unapređenje performansi usluga stoga Interneta stvari PhD Theses 2023 (1); by Lea Dujic Rodic
2023	Hybrid Service Delivery - Purposeful Integration and Design of Artificial Intelligence for the Automation and Augmentation of Online Service Encounters PhD Theses 2023 (1); by Mathis Poser
2023	Principled Deep Learning for Healthcare Applications PhD Theses 2023 (1); by Serge Assaad
2023	Privacy-aware Artificial Intelligence in Systems Medicine PhD Theses 2023 (1); by Julian O. Matschinske
2023	Artificial Intelligence for Spectral Analysis: a Comprehensive Framework PhD Theses 2023 (1); by Xiang Xie
2023	Machine Learning Methods for Kick Detection PhD Theses 2023 (1); by Haider Abdul-Ameer
2023	Applications of Unsupervised Deep Learning for Analysing Time-Varying Power Quality Big Data PhD Theses 2023 (1); by Roger Alves de Oliveira
2023	Towards multi-modal AI systems with open-world cognition PhD Theses 2023 (1); by Harsh Agrawal
2023	Optimal Control and Machine Learning in Biomechanics: Hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing (Optimalsteuerung und Maschinelles Lernen in der Biomechanik: Hybride Modelle für Inertialsensorbasierte Ganganalyse und Virtuelle Schuhtests) PhD Theses 2023 (1); by Eva Dorschky
2023	Task Affinity and Its Applications in Machine Learning PhD Theses 2023 (1); by Cat Phuoc Le
2023	Understanding and Mitigating Privacy Vulnerabilities in Deep Learning PhD Theses 2023 (1); by Sanjay Kariyappa
2023	Information-theoretic Analysis For Machine Learning and Transfer Learning: Bounds and Applications PhD Theses 2023 (1); by Xuetong Wu
2023	Image Analysis and Deep Learning Techniques for the Detection and Characterisation of Unruptured Intracranial Aneurysms PhD Theses 2023 (1); by Kimberley M. Timmins
2023	Towards Trustworthy Machine Learning Systems PhD Theses 2023 (1); by Manli Shu
2023	Deep learning-based analysis of fuel spray images ; Analiza slika spreja goriva dubokim učenjem PhD Theses 2023 (1); by Fran Huzjan
2023	Towards Robust Machine Learning for Health Applications PhD Theses 2023 (1); by Lisa Eisenberg
2023	Enhancing precision radiotherapy: image registration with deep learning and image fusion for treatment planning PhD Theses 2023 (1); by Alexander Ratke
2023	Trustworthy Machine Learning for Controlled Dynamic Systems PhD Theses 2023 (1); by Haakon Robinson
2023	Deep Learning for Geospatial Environmental Regression (Deep Learning für Regressionsmodelle mit georäumlichen Umweltdaten) PhD Theses 2023 (1); by Michael Steininger
2023	Knowledge Integration in Domain-Informed Machine Learning and Multi-scale Modeling of Nonlinear Dynamics in Complex Systems PhD Theses 2023 (1); by Phat K. Huynh
2023	Interpretable machine learning for real-world applications PhD Theses 2023 (1); by Olivera Stojanovic
2023	Trustworthy Artificial Intelligence Systems Engineering: Konzeption und Implementierung vertrauenswürdiger KI-Systeme PhD Theses 2023 (1); by Jonas Rebstadt
2023	Application-aware optimization of Artificial Intelligence for deployment on resource constrained devices PhD Theses 2023 (1); by Alessio Canepa
2023	Expensive Optimization with Model-Based Evolutionary Algorithms Applied to Medical Image Segmentation Using Deep Learning PhD Theses 2023 (1); by Arkadiy Dushatskiy
2023	Emergency Vehicle Preemption Strategies using Machine Learning to Optimize Traffic Operations PhD Theses 2023 (1); by Somdut Roy
2023	Deep Learning-based Automatic Stereology for High- and Low-magnification Images PhD Theses 2023 (1); by Hunter Morera
2023	Scalable Methods for Robust Machine Learning PhD Theses 2023 (1); by Alexander Levine
2023	Exploring the Intersection of Multi-Omics and Machine Learning in Cancer Research PhD Theses 2023 (1); by Artem Baranovskii
2023	Medical Data Management to enable the use of Machine Learning-based systems PhD Theses 2023 (1); by Sara Mora
2023	Artificial Intelligence for the renewable energy transition PhD Theses 2023 (1); by Arsam Aryandoust
2023	Towards Scalable, Private and Practical Deep Learning PhD Theses 2023 (1); by Syed Zawad
2023	Nonlocal Physics Informed Machine Learning Algorithms Using Peridynamic Differential Operator PhD Theses 2023 (1); by Ali Can Bekar
2023	Einfluss der Covid-19-Pandemie auf die Vorhersagegüte eines maschinellen Lernalgorithmus zur Prädiktion perioperativer Mortalität (Impact of the Covid 19 pandemic on the predictive performance of a machine learning algorithm for the prediction of perioperative mortality) PhD Theses 2023 (1); by Dimislav Ivanov Andonov
2023	Bridging Discrete and Continuous Methods for Faster Optimization and Machine Learning PhD Theses 2023 (1); by Hassan Mortagy
2023	Interactive and Explainable Methods in Machine Learning with Humans PhD Theses 2023 (1); by Andrew Silva
2023	Towards Realistic Hyperon Reconstruction in PANDA: From Tracking with Machine Learning to Interactions with Residual Gas PhD Theses 2023 (1); by Adeel Akram
2023	Contributions to the Interface between Experimental Design and Machine Learning PhD Theses 2023 (1); by Jiayi Lian
2023	Deep learning aided clinical decision support PhD Theses 2023 (1); by Rudolf Schneider
2023	Towards Deep Learning System and Algorithm Co-design PhD Theses 2023 (1); by Yanzhao Wu
2023	Heterogeneous Resource Management for Services based on Artificial Intelligence PhD Theses 2023 (1); by Thaha Mohammed
2023	Extending the Scope of Provable Adversarial Robustness in Machine Learning PhD Theses 2023 (1); by Aounon Kumar
2023	Artificial Intelligence in Personalized E-learning Environments PhD Theses 2023 (1); by Johannes Schrumpf
2023	Improved Sensor Fusion and Deep Learning of 3D Human Pose from Sparse Magnetic Inertial Measurement Units PhD Theses 2023 (1); by Hammad Tanveer Butt
2023	Combining Physics-based Modeling, Machine Learning, and Data Assimilation for Forecasting Large, Complex, Spatiotemporally Chaotic Systems PhD Theses 2023 (1); by Alexander Wikner
2023	Deep Learning for Urban Flood Depth Estimation PhD Theses 2023 (1); by Priyanka Chaudhary
2023	Bio-inspired, AI-based Systems for Intelligent Counter Swarm- BASICS PhD Theses 2023 (1); by Aaron McKinnis
2023	Deep learning for genomic selection PhD Theses 2023 (1); by Sheikh Jubair
2023	Mapping and Interpolation of Tropospheric Ozone Data with Machine Learning Methods PhD Theses 2023 (1); by Clara Betancourt
2023	Improving Model and Data Efficiency for Deep Learning PhD Theses 2023 (1); by Renkun Ni
2023	Perspectives of Deep Learning for Neonatal Sepsis Detection PhD Theses 2023 (1); by Antoine Honoré
2023	Computational Methods for Sustainable Mobility - Interpretation and Prediction of Tracking Data using Graphs and Machine Learning PhD Theses 2023 (1); by Henry Martin
2023	Trustworthy Machine Learning: From Images to Time Series PhD Theses 2023 (1); by Yujing Jiang
2023	Anticancer drug discovery using artificial intelligence: an application in pharmacological activity prediction PhD Theses 2023 (1); by Valentina Pellicioni
2023	Causal Machine Learning for Data-Driven Decision-Making: Methods and Applications PhD Theses 2023 (1); by Joel Persson
2023	Adaptive Optimization Algorithms for Machine Learning PhD Theses 2023 (1); by Slavomír Hanzely
2023	Supervised and unsupervised deep learning models for partial discharge source detection and classification in electrical insulation PhD Theses 2023 (1); by Sara Mantach
2023	Expanding Robustness in Responsible AI for Novel Bias Mitigation PhD Theses 2023 (1); by Samuel Dooley
2023	Machine learning applications in search algorithms for gravitational waves from compact binary mergers PhD Theses 2023 (1); by Marlin B. Schäfer
2023	Development of Novel Attention-Aware Deep Learning Models and Their Applications in Computer Vision and Dynamical System Calibration PhD Theses 2023 (1); by Maede Maftouni
2023	FPGA SoC-Based Reliable Systems for AI Applications in Automotive Industry PhD Theses 2023 (1); by Farah Abid
2023	Tiny Machine Learning Environment: Enabling Intelligence on Constrained Devices PhD Theses 2023 (1); by Fouad Sakr
2023	Incremental Knowledge Refinement in Deep Learning PhD Theses 2023 (1); by Kevin Thandiackal
2023	Hypercomplex generative models: AI beyond Clifford algebra PhD Theses 2023 (1); by Eleonora Grassucci
2023	Towards Designing Robust Deep Learning Models for 3D Understanding PhD Theses 2023 (1); by Abdullah Hamdi
2023	Adapting Deep Learning for Microscopy: Interaction, Application, and Validation PhD Theses 2023 (1); by Ankit Gupta
2023	Building trustworthy machine learning systems in adversarial environments PhD Theses 2023 (1); by Ning Wang
2023	Understanding and Enriching the Algorithmic Reasoning Capabilities of Deep Learning Models PhD Theses 2023 (1); by Jingling Li
2023	Advanced Machine Learning for Surrogate Modeling in Complex Engineering Systems PhD Theses 2023 (1); by Cheolhei Lee
2023	Online Machine Learning for Wireless Communications: Channel Estimation, Receive Processing, and Resource Allocation PhD Theses 2023 (1); by Lianjun Li
2023	Machine learning of power grid frequency dynamics and control: prediction, explanation and stochastic modelling PhD Theses 2023 (1); by Johannes Kruse
2023	Probabilistic Robustness Guarantees for Machine Learning Systems PhD Theses 2023 (1); by Maurice Weber
2023	Machine Learning in Cardiothoracic Radiology: From Medical Data Curation to Clinical Application PhD Theses 2023 (1); by Thomas J. Weikert
2023	Efficient and Collaborative Methods for Distributed Machine Learning PhD Theses 2023 (1); by Enmao Diao
2023	Machine Learning Approaches to Data-Driven Transition Modeling PhD Theses 2023 (1); by Muhammad Irfan Zafar
2023	On the Interplay between Deep Learning, Partial Differential Equations and Inverse Problems PhD Theses 2023 (1); by Derick Nganyu Tanyu
2023	Machine Learning in Auroral Image Research: Aurora Image Classification using Machine Learning Techniques and Substorm Forecasting PhD Theses 2023 (1); by Pascal Sado
2023	Machine Learning-Driven Demand Prediction to Minimise Supply Chain Costs PhD Theses 2023 (1); by Supriyo Ahmed
2023	Physics Guided Machine Learning algorithm for MAX-DOAS retrieval PhD Theses 2023 (1); by Yun Dong
2023	Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches PhD Theses 2023 (1); by Saurabh Deshpande
2023	Application of Machine Learning in Different Stages of Oil Reservoir Development PhD Theses 2023 (1); by Liu Wei
2023	Human-in-the-loop Machine Learning System via Model Interpretability PhD Theses 2023 (1); by Zhi Chen
2023	Use of data mining and artificial intelligence to derive public health evidence from large datasets PhD Theses 2023 (1); by Hugo Fitipaldi
2023	Label Efficient Deep Learning in Medical Imaging PhD Theses 2023 (1); by Marcel Frueh
2023	Deep learning-based cardiovascular modelling (Deep Learning-basierte kardiovaskuläre Modellierung) PhD Theses 2023 (1); by Pavlo Yevtushenko
2023	Machine Learning in Physical Design for 2D and 3D Integrated Circuits PhD Theses 2023 (1); by Yi-Chen Lu
2023	Automatic quantification of osteoarthritis features in MRI using deep learning methods PhD Theses 2023 (1); by Banafshe Felfeliyan
2023	Deep learning for computed tomography reconstruction - learned methods, deep image prior and uncertainty estimation PhD Theses 2023 (1); by Johannes Leuschner
2023	Randomized Kernel Rounding for Routing, Scheduling, and Machine Learning PhD Theses 2023 (1); by Majid Farhadi
2023	Refining Earth Observation Products with Deep Machine Learning PhD Theses 2023 (1); by Corinne Stucker
2023	On Safety in Machine Learning PhD Theses 2023 (1); by Tom Julian Viering
2023	Designing Human-AI Collaborative Systems for Historical Photo Identification PhD Theses 2023 (1); by Vikram Mohanty
2023	Using Conceptual Spaces for Artificial Intelligence PhD Theses 2023 (1); by Lucas Bechberger
2023	Prior knowledge for deep learning based interventional cone beam Computed Tomography reconstruction PhD Theses 2023 (1); by Philipp Ernst
2023	Deep Learning-Based Cellular Activity Recognition in Live-Cell Imaging PhD Theses 2023 (1); by Alain Pulfer
2023	Harnessing Big Data and Machine Learning for Event Detection and Localization PhD Theses 2023 (1); by Amirhessam Yazdi
2023	Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition (Symphonie der Zeit: Temporale Deep Learning Methoden für die Erkennung chirurgischer Aktivitäten) PhD Theses 2023 (1); by Tobias Czempiel
2023	Improving the Precision of Automatic Program Repair with Machine Learning PhD Theses 2023 (1); by He Ye
2023	Metabolic profiling on 2D NMR TOCSY spectra using machine learning PhD Theses 2023 (1); by Lubaba Migdadi
2023	Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations PhD Theses 2023 (1); by Philip J. Harrison
2023	Individual Verifiability for E-Voting, From Formal Verification To Machine Learning PhD Theses 2023 (1); by Ehsan Estaji
2023	Deus ex Machina - An Organizational Perspective on Artificial Intelligence Adoption PhD Theses 2023 (1); by Sebastian Ifland
2023	Algorithmic Trading with Machine Learning PhD Theses 2023 (1); by Christopher Felder
2023	Deep learning methods for the analysis of biological electron microscopy images PhD Theses 2023 (1); by Kavitha Shaga Devan
2023	Approaching Partial Differential Equations with Physics-Driven Deep Learning PhD Theses 2023 (1); by Nils Wandel
2023	Biomarker Analysis: Machine Learning and Analytical Approaches to Enhance Diagnostic Accuracy PhD Theses 2023 (1); by Diana Zhang
2023	Machine learning for atomistic modeling: representations and thermal transport (Maschinelles Lernen für atomistische Modellierung: Repräsentationen und Wärmetransport) PhD Theses 2023 (1); by Marcel F. Langer
2023	Machine Learning-Based Sugarcane Yield Prediction Using Multispectral Time-Series Imagery PhD Theses 2023 (1); by Sharareh Akbarian
2023	Generalisation and reliability of deep learning for digital pathology in a clinical setting PhD Theses 2023 (1); by Milda Poceviciute
2023	Deep Learning for Dynamical Systems: Modeling, Prediction, and Control PhD Theses 2023 (1); by Priyabrata Saha
2023	Applied deep learning and data science with a human-centric and data-centric approach PhD Theses 2023 (1); by Luca Casini
2023	Using machine learning for automated de-identification and clinical coding of free text data in electronic medical records PhD Theses 2023 (1); by Leibo Liu
2023	Deep Learning Applications in bone mineral density estimation, spine vertebra Detection, and Liver tumor Segmentation PhD Theses 2023 (1); by Fakai Wang
2023	Ongoing Architectures, Ecological Conversations & Infinite Descriptions: Process-oriented approaches of and for creative machine learning PhD Theses 2023 (1); by Monica Monin
2023	Advances of deep learning in geophysical challenges: 4D seismic processing and salt inversion PhD Theses 2023 (1); by Abdullah Alali
2023	Machine learning enabled bioinformatics tools for analysis of biologically diverse samples PhD Theses 2023 (1); by Yingzhou Lu
2023	Deep Learning-based Acoustic Sensing for Medical Applications (Deep Learning-basierte Akustische Signalverarbeitung für Medizinische Anwendungen) PhD Theses 2023 (1); by Matthias Seibold
2023	Time Filter Assisted Deep Learning to Predict Air Pollution PhD Theses 2023 (1); by Lukas Hubert Leufen
2023	Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data PhD Theses 2023 (1); by Niccolò Marini
2023	Gait recognition using a self-supervised self-attention deep learning model: doctoral dissertation ; Identifikacija osoba temeljem hoda upotrebom samonadzirnoga modela dubokoga učenja primjenom mehanizma samopozornosti: doktorski rad PhD Theses 2023 (1); by Domagoj Pincic
2023	Probabilistic graphical models and deep learning methods for remote sensing image analysis PhD Theses 2023 (1); by Martina Pastorino
2023	Physics-Informed Deep Learning for Quasi-Static Elasticity Imaging: Mechanical Characterization of Heterogeneous Domains in Two and Three Dimensions PhD Theses 2023 (1); by Ali Kamali
2023	Application of Machine Learning and Hyperspectral Imaging in Plant Phenomics Research PhD Theses 2023 (1); by Kshitiz Dhakal
2023	Machine learning for Bayesian experimental design in the subsurface PhD Theses 2023 (1); by Robin Thibaut
2023	Machine Learning to Estimate Exposure and Effects of Emerging Chemicals and Other Consumer Product Ingredients PhD Theses 2023 (1); by Luka Thornton
2023	Application of advanced machine learning strategies for biomedical research PhD Theses 2023 (1); by Renee Ti Chou
2023	Machine learning for offensive cyber operations PhD Theses 2023 (1); by Åvald Åslaugson Sommervoll
2023	The Circle of DL-SCA: Improving Deep Learning-based Side-channel Analysis PhD Theses 2023 (1); by Lichao Wu
2023	Risk-Informed Artificial Intelligence for Autonomous Inspection on Subsea Pipelines PhD Theses 2023 (1); by Rialda Spahic
2023	Deep Learning Side-Channel Attacks on Advanced Encryption Standard PhD Theses 2023 (1); by Huanyu Wang
2023	Exploring Methods of Explainable AI: Data-driven Attribution of Climate Events PhD Theses 2023 (1); by Marco Landt-Hayen
2023	Machine Learning im Cost Engineering des Supply Managements (Machine Learning for Cost Engineering in Supply Management) PhD Theses 2023 (1); by Frank Bodendorf
2023	Responsible Digital Technology - Contributions to Foster Explainable Artificial Intelligence and Empower Marginalized Groups PhD Theses 2023 (1); by Irina Sigler
2023	Hardware-Friendly Model Compression techniques for Deep Learning Accelerators PhD Theses 2023 (1); by Foroozan Karimzadeh
2023	Multimodal Deep Learning Approaches for Human Activity Recognition PhD Theses 2023 (1); by Farzan Majeed Noori
2023	Microfluidics and AI for single-cell microbiology PhD Theses 2023 (1); by Praneeth Karempudi
2023	Deep Learning for the modeling and design of artificial electromagnetic materials PhD Theses 2023 (1); by Simiao Ren
2023	Machine Learning Methods for Decision Making Inference in Healthcare PhD Theses 2023 (1); by Simin Ma
2023	Network Parameterisation and Activation Functions in Deep Learning PhD Theses 2023 (1); by Martin Trimmel
2023	Insect Classification and Explainability from Image Data via Deep Learning Techniques PhD Theses 2023 (1); by Tanvir Bhuiyan
2023	Machine learning and evolutionary computation in design and analysis of symmetric key cryptographic algorithms ; Strojno učenje i evolucijsko računarstvo u oblikovanju i analizi kriptografskih algoritama sa simetričnim ključem PhD Theses 2023 (1); by Karlo Knezevic
2023	Document Image Processing for Handwritten Text Recognition: Deep Learning-based Transliteration of Astrid Lindgren's Stenographic Manuscripts PhD Theses 2023 (1); by Raphaela Heil
2023	Machine Learning in Complex Systems: The Case of Traffic Signal Control PhD Theses 2023 (1); by Marcin Korecki
2023	Leveraging global information for machine learning on graphs PhD Theses 2023 (1); by Leslie O'Bray
2023	Machine learning approaches for adaptive optics in microscopy PhD Theses 2023 (1); by Ivan Vishniakou
2023	Combinatorial problems and scalability in artificial intelligence PhD Theses 2023 (1); by Francesco Quinzan
2023	Wearable Sensor Gait Analysis for Fall Detection Using Deep Learning Methods PhD Theses 2023 (1); by Haben Yhdego
2023	Efficient machine learning with resources constraints PhD Theses 2023 (1); by Paolo Didier Alfano
2023	Machine learning for carbon fiber reinforced polymer production PhD Theses 2023 (1); by Simon Stieber
2023	Robust waveform design for MIMO radar from information theoretic and machine learning principles PhD Theses 2023 (1); by Aya Mostafa Ahmed
2023	Machine learning-driven integration of multimodal data for deciphering breast cancer heterogeneity PhD Theses 2023 (1); by Qian Liu
2023	Optimization Problems in Quantum Machine Learning PhD Theses 2023 (1); by Xuchen You
2023	Multimodality medical image analysis using radiomics and deep learning PhD Theses 2023 (1); by Isaac Shiri
2023	Probabilistic Numerical Linear Algebra for Machine Learning PhD Theses 2023 (1); by Jonathan Wenger
2023	Adversarial Robustness and Fairness in Deep Learning PhD Theses 2023 (1); by Valeriia Cherepanova
2023	Human-AI Interaction - Investigating the Impact on Individuals and Organizations PhD Theses 2023 (1); by Felix Peters
2023	On developers' practices for hazard diagnosis in machine learning systems PhD Theses 2023 (1); by Agathe Balayn
2023	Approaching phase retrieval with deep learning PhD Theses 2023 (1); by Tobias Uelwer
2023	Human-centered AI Systems Engineering: Konzeption und Implementierung von KI-Systemen in menschzentrierten Datenökosystemen PhD Theses 2023 (1); by Henrik Kortum-Landwehr
2023	Machine learning on non-Euclidean domains: Powersets, lattices, posets PhD Theses 2023 (1); by Chris Wendler
2023	Bridging the Gap Between the Physical-Conceptual Approach and Machine Learning for Modeling Hydrological Systems PhD Theses 2023 (1); by Yuan-Heng Wang
2023	Fall Risk Prediction in Parkinson's Disease Using Machine Learning and Real-World Inertial Sensor-Based Gait Analysis (Sturzrisikovorhersage beim Parkinsonsyndrom mit Hilfe von Maschinellem Lernen und Inertialsensor-basierter Ganganalyse in der realen Welt) PhD Theses 2023 (1); by Martin Ullrich
2023	AI Models for Modeling and Simulation of Clinical Studies for Alzheimer's and Parkinson's Disease PhD Theses 2023 (1); by Meemansa Sood
2023	Applying machine learning: a multi-role perspective PhD Theses 2023 (1); by Alessia Angeli
2023	Experimenting with Constraint Programming Techniques in Artificial Intelligence: Automated System Design and Verification of Neural Networks PhD Theses 2023 (1); by Stefano Demarchi
2023	Biomedical Image Analysis using Deep Learning: Towards Clinically Applicable Models PhD Theses 2023 (1); by Beatriz Garcia Santa Cruz
2023	Deep learning approaches for the spectral and morphological characterization of cancer in cells and tissues (Deep Learning Ansätze für die spektrale und morphologische Charakterisierung von Krebs in Zellen und Gewebe) PhD Theses 2023 (1); by Joshua Butke
2023	Advancing Algorithms and Applications for Data Valuation in Machine Learning PhD Theses 2023 (1); by David Dao
2023	Translational functional imaging in surgery enabled by deep learning PhD Theses 2023 (1); by Leonardo Ayala
2023	HW-SW Methods for Modeling and Optimizing Communication for Scalable Training of Deep Learning Models PhD Theses 2023 (1); by Saeed Rashidi
2023	Interpretable Machine Learning With Medical Applications PhD Theses 2023 (1); by Alina Jade Barnett
2023	Deep Learning for Applications in Inverse Modeling, Legislator Analysis, and Computer Vision for Security PhD Theses 2023 (1); by Gregory Spell
2023	Optimizing AI at the Edge: from network topology design to MCU deployment PhD Theses 2023 (1); by Alessio Burrello
2023	Analysis of Cellular and Subcellular Morphology using Machine Learning in Microscopy Images PhD Theses 2023 (1); by Priyanka Rana
2023	Machine Learning Methods for Efficient Data Reduction and Reconstruction in the concept of Internet of Things ; Metode strojnog učenja za učinkovito smanjenje količine podataka i njihovu rekonstrukciju u konceptu Interneta stvari PhD Theses 2023 (1); by Jelena Culic Gambiroza
2023	Using Machine Learning Towards Decision Support for Refractory Epilepsy Cases PhD Theses 2023 (1); by Bijan Farhoudi
2023	Deep learning-based pathloss radio map estimation and its application to RSS fingerprint-based localization (Tiefes-Lernen-basierte Pfadverlust-Radio-Map-Schätzung und ihre Anwendung auf die RSS-Fingerabdruck-basierte Lokalisierung) PhD Theses 2023 (1); by Çagkan Yapar
2023	Deep Learning Applied to Animal Linguistics (Deep Learning mit Anwendung in der Tierlinguistik) PhD Theses 2023 (1); by Christian Bergler
2023	Artificial Intelligence-Driven Planning Agents for Real-Time IMRT Plan Generation PhD Theses 2023 (1); by Xinyi Li
2023	On Impact of Network Architecture for Deep Learning PhD Theses 2023 (1); by Hao Fu
2023	Deep Learning Enhancement and Privacy-Preserving Deep Learning: A Data-Centric Approach PhD Theses 2023 (1); by Hung S. Nguyen
2023	Ownership and Confidentiality in Machine Learning PhD Theses 2023 (1); by Sebastian Szyller
2023	Reliability of Machine Learning Models in the Real World PhD Theses 2023 (1); by Ping-Yeh Chiang
2023	Machine learning for data-driven prevention at population scale (Anwendungen maschinellen Lernens für datengetriebene Prävention auf Populationsebene) PhD Theses 2023 (1); by Thore Bürgel
2023	Machine Learning in Business: A Process and Project Perspective PhD Theses 2023 (1); by Tobias Albrecht
2023	Explainable Artificial Intelligence Techniques in Medical Imaging Analysis PhD Theses 2023 (1); by Zhenyu Yang
2023	Automated analysis of flow cytometry using deep learning for the detection of B-cell neoplasms PhD Theses 2023 (1); by Nanditha Mallesh
2023	Learning Data Representations for Improving Detection Performance of Deep Learning Models in Medical Imaging Applications PhD Theses 2023 (1); by Lavanya Umapathy
2023	Development of machine learning methods for multi-modal biomarkers detection and integration PhD Theses 2023 (1); by Daniele Dall'Olio
2023	Machine Learning in Healthcare and Business Analytics - Applications in Gait Analysis, Business Process Management, and Customer Service (Machinelles Lernen für Gesundheitsweisen und Geschäftsanalytik - Anwendungen in der Ganganalyse, dem Prozessmanagement und dem Kundendienst) PhD Theses 2023 (1); by An Nguyen
2023	Structured Representations for Explainable Deep Learning PhD Theses 2023 (1); by Federico Baldassarre
2023	Machine Learning Techniques to Detect Known and Novel Cyber-attacks PhD Theses 2023 (1); by Mehrnoosh Monshizadeh
2023	Deep Learning Methods for Detection and Tracking of Particles in Fluorescence Microscopy Images PhD Theses 2023 (1); by Roman Spilger
2023	The Limitations of Deep Learning Methods in Realistic Adversarial Settings PhD Theses 2023 (1); by Yigitcan Kaya
2023	Use of Machine Learning and Computer Vision Methods for Building Behavioral and Electrophysiological Biomarkers for Brain Disorders PhD Theses 2023 (1); by Dmitry Isaev
2023	Deep Learning for Scene perception and Understanding PhD Theses 2023 (1); by Jun Wang
2023	Towards Immersive Visual Content with Machine Learning PhD Theses 2023 (1); by Brandon Yushan Feng
2023	Topics on Large Deviations in Artificial Intelligence PhD Theses 2023 (1); by Adam Lindhe
2023	Artificial Intelligence for the Edge Computing Paradigm PhD Theses 2023 (1); by Ali Daher
2023	Machine learning for electronic structure (Maschinelles Lernen für elektronische Struktur) PhD Theses 2023 (1); by Mihail Bogojeski
2023	Software-Hardware Co-design For Deep Learning Model Acceleration PhD Theses 2023 (1); by Jingchi Zhang
2023	Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning (Proteinstrukturvorhersage mit in-cell photo-crosslinking Massenspektrometrie und Deep Learning) PhD Theses 2023 (1); by Kolja Stahl
2023	Energy management control strategies for Hybrid Electric Vehicles and benefits of Machine Learning in cooperative intelligent transportation systems PhD Theses 2023 (1); by Shailesh Hegde
2023	Distributed cloud-edge analytics and machine learning for transportation emissions estimation PhD Theses 2023 (1); by Alberto Gutierrez-Torre
2023	Shedding light on sewer pipes: deep learning perception approaches for autonomous sewer robots PhD Theses 2023 (1); by Ferran Plana Rius
2023	Fairness and Robustness in Machine Learning PhD Theses 2023 (1); by Ashneet Khandpur Singh
2023	Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies PhD Theses 2023 (1); by Albert Clèrigues
2023	Data-driven models for type 1 diabetes using generative deep learning PhD Theses 2023 (1); by Omer Mujahid
2023	Machine learning methods for predicting days to discharge in Intensive Care Units patients PhD Theses 2023 (1); by David Cuadrado
2023	Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components PhD Theses 2023 (1); by Ditsuhi Iskandaryan
2023	Re-thinking large scale hate speech identification: beyond common NLP conventions and supervised machine learning PhD Theses 2023 (1); by Paula Fortuna
2023	Towards Unified Air Traffic Complexity Management through Graph Theory and Artificial Intelligence PhD Theses 2023 (1); by Ralvi Isufaj
2023	Deep Learning-based Methods for Extracting Fundus Image Landmarks and Signs of Eye Diseases PhD Theses 2023 (1); by Mohammed Yousef Salem Ali
2023	Improving the Quality of Life for Intellectually Disabled Elderly People using Artificial Intelligence Techniques PhD Theses 2023 (1); by Gaurav Kumar Yadav
2023	Supervised Monocular Depth Estimation Based on Machine and Deep Learning Models PhD Theses 2023 (1); by Saddam Abdulwahab
2023	Efficient and convergent natural gradient based optimization algorithms for machine learning PhD Theses 2023 (1); by Borja Sánchez-López
2023	Deep learning based architectures for cross-domain image processing PhD Theses 2023 (1); by Armin Mehri
2023	Machine Learning Approaches for Comprehensive Analysis of Population Cancer Registry Data PhD Theses 2023 (1); by Dídac Florensa
2023	Machine Learning techniques in bioinformatics: From data integration to the development of application-oriented tools PhD Theses 2023 (1); by Valentin Junet
2023	Automated Disease Detection by Machine Learning and Bio-Sound Analysis PhD Theses 2023 (1); by Alberto Tena
2023	Sayısal haritalama teknikleri kullanılarak DNA dizilimleri üzerinden lösemi hastalığının temel türlerinin yapay zeka tabanlı algoritmalar ile sınıflandırılması (Classification of main types of leukemia disease with artificial intelligence-based algorithms on the DNA sequences using digital mapping techniques) PhD Theses 2023 (1); by Fatma Akalin
2023	Siber saldırıların tespitinde yapay zekâ tabanlı algoritma tasarımı (Ai-based algorithm design in detection of cyber attacks) PhD Theses 2023 (1); by Ahmet Nusret Özalp
2023	Damage detection in aircraft engine borescope inspection using deep learning (Uçak motorlarının baroskopik incelemesinde derin öğrenme kullanılarak hasar tespiti) PhD Theses 2023 (1); by Ismail Uzun
2023	İnsan idrar sedimenti mikroskobik içeriğinin derin öğrenme temelli yapay zeka sistemi ile belirlenmesi (Determining the microscopic content of human urine sediment by deep learning based artificial intelligence system) PhD Theses 2023 (1); by Yunus Emre Yörük
2023	Deep learning approaches for multiple sclerosis lesion segmentation using multi-sequence 3D MR images (Çok sekanslı 3B MR görüntüleri kullanılarak multiple skleroz lezyon bölütlemesi için derin öğrenme yaklaşımları) PhD Theses 2023 (1); by Beytullah Sarica
2023	Derin öğrenme yaklaşımlarıyla tıbbi yara görüntülerinin segmentasyonu ve sınıflandırılması (Segmentation and classification of medical wound images with deep learning approaches) PhD Theses 2023 (1); by Hüseyin Eldem
2023	Graf ve karekod yöntemleriyle dönüştürülmüş log kayıtları üzerinde derin öğrenme tabanlı siber saldırı tespiti (Deep learning-based cyber attack dedection on encoded log by graph and qr code methods) PhD Theses 2023 (1); by Yusuf Alaca
2023	Antimicrobial peptide activity prediction using machine learning methods (Makine öğrenmesi yöntemleriyle antimikrobiyal peptit aktivite tahmini) PhD Theses 2023 (1); by Ümmü Gülsüm Söylemez
2023	Çok modlu derin öğrenme yöntemlerinin ses patolojilerinin tespiti için geliştirilmesi (Development of multi-modal deep learning methods for voice pathology detection) PhD Theses 2023 (1); by Asli Nur Ömeroglu
2023	Beyaz cevher hiperintensitelerinin derin öğrenme teknikleri kullanılarak beyin manyetik rezonans görüntülerinden otomatik tespiti (Automatic detection of white matter hyperintensities using deep learning techniques on brain magnetic resonance images) PhD Theses 2023 (1); by Gökhan Uçar
2023	Derin öğrenme ile sosyal ağlarda radyolojik görüntü ve metin tabanlı medikal kavram tespiti (Radiological image and text based medical concept detection in social networks with deep learning) PhD Theses 2023 (1); by Sumeyye Bayrakdar
2023	Domates hastalıklarının sınıflandırılması için makine öğrenmesi ve derin öğrenme temelli yeni yaklaşımlar (New approaches to classification of tomato diseases based on machine learning and deep learning) PhD Theses 2023 (1); by Hasan Ulutas
2023	Derin öğrenme yöntemleri yardımıyla görüntüde yer alan nesnelerin birbirlerine göre konumlarının belirlenmesi ve tasvir edilmesi üzerine bir çalışma (A study on the determination and depiction of the positions of the objects in the image relative to each other with the help of deep learning methods) PhD Theses 2023 (1); by Esin Erguvan Etgin
2023	Türk dilinde derin öğrenme ile metin özetleme (Text summarization with deep learning in turkish language) PhD Theses 2023 (1); by Neda Alipour
2023	Oltalama saldırılarının derin öğrenme tabanlı URL ve içerik analizi ile hibrit tespiti (Detection of phishing attacks by using deep learning based hybrid URL and content analysis) PhD Theses 2023 (1); by Mehmet Korkmaz
2023	Yaprak görüntülerini kullanarak derin öğrenme ile ceviz türlerinin belirlenmesi (Determination of walnut species by deep learning using leaf images) PhD Theses 2023 (1); by Alper Talha Karadeniz
2023	Zararlı video içeriklerinin derin öğrenme teknikleri ile tespiti ve filtrelenmesi için bir yazılım aracı geliştirilmesi (Development of a software tool for detecting and filtering harmful video content with deep learning techniques) PhD Theses 2023 (1); by Fatma Gülsah Tan
2023	New Machine Learning Classification Algorithm For Phishing URLs Detection PhD Theses 2023 (1); by Abdalraouf Almahdi Mohammed Alarbi
2023	Deep learning based surgical phase recognition in laparoscopic videos (Laparoskopik videolarda derin öğrenme tabanlı cerrahi faz tanıma) PhD Theses 2023 (1); by Kadir Kirtaç
2023	Bitcoin price prediction with machine learning (Makine öğrenmesi ile Bitcoin fiyat tahmini) PhD Theses 2023 (1); by Ilkay Sibel Kervanci
2023	Yazılım tabanlı araçsal ağlara yönelik gerçekleştirilen DDoS saldırılarının derin öğrenme tabanlı gerçek zamanlı tespiti (Deep learning based real-time detection of DDoS attacks on software-defined based vehicular networks) PhD Theses 2023 (1); by Onur Polat
2023	Derin öğrenme tabanlı biyomedikal karar destek sistemlerinin oluşturulması (Establishment of biomedical decision support systems through deep learning techniques) PhD Theses 2023 (1); by Harun Cig
2023	Türkçe e-ticaret müşteri yorumlarının derin öğrenme ile çok etiketli analizi (Multi-label analysis of Turkish e-commerce customer reviews with deep learning) PhD Theses 2023 (1); by Emre Deniz
2023	Derin öğrenme yöntemi kullanarak tarımda verimliliği arttıran yeni bir hibrit model (A new hybrid model increasing productivity in agriculture using deep learning method) PhD Theses 2023 (1); by Fatih Bal
2023	A deep learning based protein representation model forlow-data protein function prediction (Az veri ile protein fonksiyon tahmini için derin öğrenmebazlı bir protein temsil modeli) PhD Theses 2023 (1); by Serbülent Ünsal
2023	Kritik altyapılara yönelik derin öğrenme tabanlı saldırı tespit sistemi tasarımı (Deep learning based-intrusion detection system design for critical infrastructure) PhD Theses 2023 (1); by Hakan Can Altunay
2023	Yapay zeka yöntemleri ile uzaktan eğitimdeki sorunların tespiti ve öğrencilerin akademik performanslarının tahmin edilmesi (Detecting the problems in distance education and predicting the academic performance of students by using artificial intelligence methods) PhD Theses 2023 (1); by Halit Irmak
2023	Metasezgisel algoritmalar ve derin öğrenme kullanılarak çok kaynaklı görüntü füzyonu (Multi-source image fusion using metaheuristic algorithms and deep learning) PhD Theses 2023 (1); by Asan Ihsan Abas
2023	Application of fuzzy logic and machine learning methods for food quality control (Gıda kalitesi kontrolünde bulanık mantık ve makine öğrenmesi yöntemlerinin uygulanması) PhD Theses 2023 (1); by Zainab Nasih Ali
2023	Context- and sentiment-aware machine learning models for sentiment analysis (Duygu analizi için bağlam ve duyguya duyarlı makine öğrenmesi modelleri) PhD Theses 2023 (1); by Ayça Deniz
2023	Videodan derin öğrenme tabanlı duygu tanıma (Deep learning-based emotion recognition on video) PhD Theses 2023 (1); by Orhan Atila
2023	Makine öğrenmesi yaklaşımı ile android uygulamalarının güvenlik analizi (Security analysis of android applications with machine learning approach) PhD Theses 2023 (1); by Gokhan Ozogur
2023	Embedding intrusion detection in distributed computing artificial intelligence-based routing in AD HOC networks () PhD Theses 2023 (1); by Zainab Ali Abbood Almamoori
2023	Derin öğrenme yöntemleri ile metalik yüzeylerde kusur tespiti ve sınıflandırılması (Defect detection and classification on metallic surfaces using deep learning methods) PhD Theses 2023 (1); by Feyza Selamet
2023	Makine öğrenmesi algoritmalarını kullanarak otomatik parmak damarı tanıma sistemi (Automatic finger vein recognition system using machine learning algorithms) PhD Theses 2023 (1); by Mustafa Kocakulak
2023	Sensör füzyonuna dayalı derin öğrenme yöntemleri ile nesne tanıma başarısının artırılması (Increasing object detection success with deep learning methods based on sensor fusion) PhD Theses 2023 (1); by Ahmet Özcan
2023	Makine öğrenmesiyle kazak dilinde yeni bir topluluk anahtar kelime çıkarım modeli (A novel ensemble keyword extraction model in the kazakh language with machine learning) PhD Theses 2023 (1); by Aiman Abibullayeva
2023	Android sistemlerde derin öğrenme tabanlı kötü amaçlı yazılım tespit sistemi (Deep learning based malware detection system on android systems) PhD Theses 2023 (1); by Esra Çalik Bayazit
2023	Machine learning techniques for estimation of human tiredness level from brain electrical activity PhD Theses 2023 (1); by Saad Shaban
2023	Derin öğrenme temelli karar destek sistemleriyle lomber spinal dar kanal analizi (Lumbar spinal stenosis analysis with deep learning based decision support systems) PhD Theses 2023 (1); by Sinan Altun
2023	On how to facilitate hardware acceleration of machine learning for non-experts in hardware design over the Edge, the Fog, and the Cloud PhD Theses 2023 (1); by Andrea Damiani
2023	Numerical and artificial intelligence methods for the analysis of cerebrovascular architecture and hemodynamics PhD Theses 2023 (1); by Sara El Hadji
2023	Reconciling deep learning and control theory : recurrent neural networks for model-based control design PhD Theses 2023 (1); by Fabio Bonassi

UX & Human Factors / IEEE Computer Graphics & Applications

2023	Pushing Visualization Research Frontiers: Essential Topics Not Addressed by Machine Learning IEEE Computer Graphics & Applications 2023 (1); by Kwan-Liu Ma

Software Engineering / Martin Fowler (FREE)

2023	Exploring Generative AI Martin Fowler (FREE) 2023 Generative AI and particularly LLMs Large Language Models have exploded into the public consciousness.
2023	Building Boba AI Martin Fowler (FREE) 2023 We are building an experimental AI co-pilot for product strategy and generative ideation called Boba.

Software Engineering / GOTO Conference Videos (FREE)

2023	Your AI Survival Guide GOTO Conference Videos (FREE) 2023; by Sol Rashidi, Joe Reis
2023	ChatGPT from Scratch: How to Train an Enterprise AI Assistant GOTO Conference Videos (FREE) 2023; by Phil Winder
2023	A Hybrid Intelligence Approach to Developing Generative AI Applications GOTO Conference Videos (FREE) 2023; by Jacob Sherson
2023	How AI & DevOps Are About to Change the Way We Create Products GOTO Conference Videos (FREE) 2023; by Marko Klemetti
2023	Developing Machine Learning for Impact in 5 Minutes GOTO Conference Videos (FREE) 2023; by Anna Via
2023	Livebook & Elixir: Where AI, Web & Concurrency Meet GOTO Conference Videos (FREE) 2023; by Jos Valim
2023	Developing Machine Learning for Impact GOTO Conference Videos (FREE) 2023; by Anna Via
2023	Insights About Places with Deep Learning Computer Vision GOTO Conference Videos (FREE) 2023; by Chanuki Illushka Seresinhe
2023	Hello Deep Learning in 4 Minutes GOTO Conference Videos (FREE) 2023; by Bert Hubert
2023	Programmer’s Apprentice Season 2: Future Directions in AI-assisted Coding GOTO Conference Videos (FREE) 2023; by Erik Meijer
2023	Hello Deep Learning GOTO Conference Videos (FREE) 2023; by Bert Hubert
2023	Building Owly: An AI Comic Video Generator for My Son GOTO Conference Videos (FREE) 2023; by Agustinus Nalwan
2023	Scaling Python for Machine Learning: Beyond Data Parallelism GOTO Conference Videos (FREE) 2023; by Holden Karau
2023	Machine Learning for Web3 GOTO Conference Videos (FREE) 2023; by Omoju Miller
2023	Scaling Machine Learning with Spark GOTO Conference Videos (FREE) 2023; by Adi Polak, Holden Karau
2023	Scaling Machine Learning with Spark GOTO Conference Videos (FREE) 2023; by Adi Polak, Holden Karau
2023	Is Machine Learning a Black Box? GOTO Conference Videos (FREE) 2023; by Dean Wampler, Preben Thor
2023	Machine Learning for Autonomous Vehicles GOTO Conference Videos (FREE) 2023; by Oscar Beijbom, Prayson Daniel
2023	Kubeflow for Machine Learning GOTO Conference Videos (FREE) 2023; by Holden Karau, Adi Polak
2023	Machine Ethics, Artificial Intelligence & Humanity GOTO Conference Videos (FREE) 2023; by Nell Watson, Priyanka Vergadia, Jrn Larsen
2023	Harnessing AI to Clean up Beaches from Plastic Pellets GOTO Conference Videos (FREE) 2023; by Signe Simonsen, Julian Wood
2023	Navigating AI's Impact GOTO Conference Videos (FREE) 2023; by Alistair Cockburn, Aino Vonge Corry
2023	Enhancing Productivity with Tools, Aesthetics & AI GOTO Conference Videos (FREE) 2023; by Cassidy Williams, Ben Hong

Software Engineering / SE Radio Podcasts (FREE)

2023	Episode 549: William Falcon Optimizing Deep Learning Models SE Radio Podcasts (FREE) 2023 William Falcon of Lighting AI discusses how to optimize deep learning models using the Lightning platform, optimization is a necessary step towards…
2023	SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon SE Radio Podcasts (FREE) 2023 Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author ofMachine Learning in…
2023	SE Radio 588: José Valim on Elixir, Machine Learning, and Livebook SE Radio Podcasts (FREE) 2023 Jos Valim, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host…
2023	Episode 549: William Falcon Optimizing Deep Learning Models SE Radio Podcasts (FREE) 2023 William Falcon of Lighting AI discusses how to optimize deep learning models using the Lightning platform, optimization is a necessary step towards…

2022 (999)

Computing (general) / Communications of the ACM

2022	Finding an alternate way forward with AI Communications of the ACM 2022 (12); by Leah Hoffmann
2022	Is having AI generate text cheating? Communications of the ACM 2022 (12); by Carlos Baquero
2022	Can universities combat the 'wrong kind of AI'? Communications of the ACM 2022 (12); by Devdatt P. Dubhashi
2022	The context problem in artificial intelligence Communications of the ACM 2022 (12); by Peter J. Denning, John Arquilla
2022	Building a new economy: data, AI, and Web3 Communications of the ACM 2022 (12); by Alex Pentland
2022	AI and data science centers in top Indian academic institutions Communications of the ACM 2022 (11); by Balaraman Ravindran, Sunita Sarawagi, Aditi Jain
2022	Toward explainable deep learning Communications of the ACM 2022 (11); by Vineeth N. Balasubramanian
2022	Neurosymbolic AI Communications of the ACM 2022 (10); by Don Monroe
2022	Technical perspective: Traffic classification in the era of deep learning Communications of the ACM 2022 (10); by Athina Markopoulou
2022	Applied AI teaches handwriting Communications of the ACM 2022 (10); by Esther Shein
2022	Changing the nature of AI research Communications of the ACM 2022 (9); by Subbarao Kambhampati
2022	How AI is driving the esports boom Communications of the ACM 2022 (9); by Logan Kugler
2022	Physical layer resilience through deep learning in software radios: technical perspective Communications of the ACM 2022 (9); by Falko Dressler
2022	The Luce Goose: a space-traveling bail-bond agent and the ship's resourceful AI chase fugitives across the galaxy Communications of the ACM 2022 (8); by E. C. Logan
2022	Interpretable machine learning: moving from mythos to diagnostics Communications of the ACM 2022 (8); by Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2022	Toward verified artificial intelligence Communications of the ACM 2022 (7); by Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry
2022	SoundWatch: deep learning for sound accessibility on smartwatches Communications of the ACM 2022 (6); by Dhruv Jain, Hung Ngo, Pratyush Patel, Steven Goodman, Khoa Huynh Anh Nguyen, Rachel Grossman-Kahn, Leah Findlater, Jon Froehlich
2022	A deeper understanding of deep learning Communications of the ACM 2022 (6); by Don Monroe
2022	Artificial intelligence for synthetic biology Communications of the ACM 2022 (5); by Mohammed Eslami, Aaron Adler, Rajmonda Sulo Caceres, Joshua G. Dunn, Nancy Kelley-Loughnane, Vanessa A. Varaljay, Héctor García Martín
2022	How a shopping mall trip inspired me to work in neuro-symbolic AI Communications of the ACM 2022 (5); by Asim Munawar
2022	Artificial intelligence and mental health Communications of the ACM 2022 (5); by Keith Kirkpatrick
2022	Partnership on AI, data, and robotics Communications of the ACM 2022 (4); by Edward Curry, Fredrik Heintz, Morten Irgens, Arnold W. M. Smeulders, Stefano Stramigioli
2022	Can AI learn to forget? Communications of the ACM 2022 (4); by Samuel Greengard
2022	Digital twins and artificial intelligence: as pillars of personalized learning models Communications of the ACM 2022 (4); by Marco Furini, Ombretta Gaggi, Silvia Mirri, Manuela Montangero, Elvira Pelle, Francesco Poggi, Catia Prandi
2022	Recommender systems under European AI regulations Communications of the ACM 2022 (4); by Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
2022	Toward a broad AI Communications of the ACM 2022 (4); by Sepp Hochreiter
2022	Explainable AI Communications of the ACM 2022 (4); by Veda C. Storey, Roman Lukyanenko, Wolfgang Maass, Jeffrey Parsons
2022	Trust, regulation, and human-in-the-loop AI: within the European region Communications of the ACM 2022 (4); by Stuart E. Middleton, Emmanuel Letouzé, Ali Hossaini, Adriane Chapman
2022	Privacy-preserving AI for future networks Communications of the ACM 2022 (4); by Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis
2022	Accelerating AI Communications of the ACM 2022 (3); by Don Monroe
2022	Artificial intelligence, machine learning, and the fight against world hunger Communications of the ACM 2022 (2); by Logan Kugler
2022	Shrinking artificial intelligence Communications of the ACM 2022 (1); by Chris Edwards
2022	The growing cost of deep learning for source code Communications of the ACM 2022 (1); by Vincent J. Hellendoorn, Anand Ashok Sawant
2022	Artificial intelligence across company borders Communications of the ACM 2022 (1); by Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel
2022	Will AI destroy education? Communications of the ACM 2022 (1); by Moshe Y. Vardi
2022	Declarative machine learning systems Communications of the ACM 2022 (1); by Piero Molino, Christopher Ré

Computing (general) / IEEE Computer

2022	Data and Artificial Intelligence as Tools to Fight Poverty: Some Notable Applications in Agriculture and Health Care IEEE Computer 2022 (12); by Nir Kshetri
2022	Poisoning Attacks Against Machine Learning: Can Machine Learning Be Trustworthy? IEEE Computer 2022 (11); by Alina Oprea, Anoop Singhal, Apostol Vassilev
2022	Using Machine Learning to Work Around the Operational and Cybersecurity Limitations of Legacy Process Sensors IEEE Computer 2022 (11); by Joseph Weiss, Michael Hood, Nadine Miller, Chris Potorieko, James Bret Michael
2022	Generative Artificial Intelligence: Trends and Prospects IEEE Computer 2022 (10); by Mladan Jovanovic, Mark Campbell
2022	Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum IEEE Computer 2022 (10); by Dragi Kimovski, Sasko Ristov, Radu Prodan
2022	Technomoral Affordances of Artificial Intelligence in Data-Driven Systems IEEE Computer 2022 (10); by Ravi Sharma, Norita B. Ahmad, Saqib Ali, Adil Bilal, Samar Fatima, Nir Kshetri, Fatima Abu Salem, Prateek Sibal
2022	Understanding Conversational Artificial Intelligence IEEE Computer 2022 (9); by James Bret Michael
2022	What Machine Learning Can Learn From Software Modularity IEEE Computer 2022 (9); by Peter Kriens, Tim Verbelen
2022	Unconventional Concerns for Human-Centered Artificial Intelligence IEEE Computer 2022 (7); by Ria Cheruvu
2022	The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink IEEE Computer 2022 (7); by David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2022	Algorithms for Artificial Intelligence IEEE Computer 2022 (7); by Neil C. Rowe
2022	Practices and Infrastructures for Machine Learning Systems: An Interview Study in Finnish Organizations IEEE Computer 2022 (6); by Dennis Muiruri, Lucy Ellen Lwakatare, Jukka K. Nurminen, Tommi Mikkonen
2022	Applying Machine Learning and Data Fusion to the "Missing Person" Problem IEEE Computer 2022 (6); by K. M. A. Solaiman, Tao Sun, Alina Nesen, Bharat K. Bhargava, Michael Stonebraker
2022	Developing and Deploying Artificial Intelligence Systems IEEE Computer 2022 (6); by James Bret Michael, Marko Orescanin
2022	Deep Learning and the Oceans IEEE Computer 2022 (5); by Marko Radeta, Agustin Zuniga, Naser Hossein Motlagh, Mohan Liyanage, Rúben Freitas, Moustafa Youssef, Sasu Tarkoma, Huber Flores, Petteri Nurmi
2022	Large-Scale Artificial Intelligence Models IEEE Computer 2022 (5); by Hsiao-Ying Lin
2022	Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms IEEE Computer 2022 (4); by Adriano Soares Koshiyama, Emre Kazim, Philip C. Treleaven
2022	Federated Learning: The Pioneering Distributed Machine Learning and Privacy-Preserving Data Technology IEEE Computer 2022 (4); by Philip C. Treleaven, Malgorzata Smietanka, Hirsh Pithadia
2022	The Role of Data and Artificial Intelligence in Driving Diversity, Equity, and Inclusion IEEE Computer 2022 (4); by Preeti S. Chauhan, Nir Kshetri
2022	Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks IEEE Computer 2022 (3); by Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi
2022	On the Testability of Artificial Intelligence and Machine Learning Systems IEEE Computer 2022 (3); by Raghvinder S. Sangwan, Youakim Badr, Satish Mahadevan Srinivasan, Partha Mukherjee
2022	Architectural Design Decisions for the Machine Learning Workflow IEEE Computer 2022 (3); by Stephen John Warnett, Uwe Zdun
2022	Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems? IEEE Computer 2022 (3); by Norbert Siegmund, Johannes Dorn, Max Weber, Christian Kaltenecker, Sven Apel
2022	The Path to a Consensus on Artificial Intelligence Assurance IEEE Computer 2022 (3); by Laura J. Freeman, Feras A. Batarseh, D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker
2022	Software-Engineering Design Patterns for Machine Learning Applications IEEE Computer 2022 (3); by Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda
2022	Artificial Intelligence and Software Engineering: Are We Ready? IEEE Computer 2022 (3); by Atif Mashkoor, Tim Menzies, Alexander Egyed, Rudolf Ramler
2022	Harnessing Artificial Intelligence to Design Healthy, Sustainable, and Equitable Places IEEE Computer 2022 (2); by Phillip Bernstein, Mark Greaves, Steve McConnell, Clifford Pearson
2022	Explainability as a User Requirement for Artificial Intelligence Systems IEEE Computer 2022 (2); by Mladan Jovanovic, Mia Schmitz
2022	Assessing AI Fairness in Finance IEEE Computer 2022 (1); by Lachlan McCalman, Daniel Steinberg, Grace Abuhamad, Marc-Etienne Brunet, Robert C. Williamson, Richard S. Zemel
2022	The Other Artificial Intelligence Hardware Problem IEEE Computer 2022 (1); by John VerWey

Computing (general) / ACM Computing Surveys

2022	Membership Inference Attacks on Machine Learning: A Survey ACM Computing Surveys 2022 (11); by Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
2022	Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions ACM Computing Surveys 2022 (10); by Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Cheng-Zhong Xu, Rajkumar Buyya
2022	A Survey on Deep Learning for Software Engineering ACM Computing Surveys 2022 (10); by Yanming Yang, Xin Xia, David Lo, John C. Grundy
2022	A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images ACM Computing Surveys 2022 (10); by Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro
2022	A Survey on Active Deep Learning: From Model Driven to Data Driven ACM Computing Surveys 2022 (10); by Peng Liu, Lizhe Wang, Rajiv Ranjan, Guojin He, Lei Zhao
2022	A Systematic Review on Data Scarcity Problem in Deep Learning: Solution and Applications ACM Computing Surveys 2022 (10); by Aayush Bansal, Rewa Sharma, Mamta Kathuria
2022	A Survey on Uncertainty Estimation in Deep Learning Classification Systems from a Bayesian Perspective ACM Computing Surveys 2022 (9); by José Mena, Oriol Pujol, Jordi Vitrià
2022	Evolutionary Machine Learning: A Survey ACM Computing Surveys 2022 (8); by Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, Amir H. Gandomi
2022	Machine Learning at the Network Edge: A Survey ACM Computing Surveys 2022 (8); by M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
2022	A Survey on Deep Learning for Human Activity Recognition ACM Computing Surveys 2022 (8); by Fuqiang Gu, Mu-Huan Chung, Mark H. Chignell, Shahrokh Valaee, Baoding Zhou, Xue Liu
2022	A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19 ACM Computing Surveys 2022 (8); by Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu
2022	Machine Learning-based Cyber Attacks Targeting on Controlled Information: A Survey ACM Computing Surveys 2022 (7); by Yuantian Miao, Chao Chen, Lei Pan, Qing-Long Han, Jun Zhang, Yang Xiang
2022	Deep Learning for Medical Anomaly Detection - A Survey ACM Computing Surveys 2022 (7); by Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
2022	Design Guidelines on Deep Learning-based Pedestrian Detection Methods for Supporting Autonomous Vehicles ACM Computing Surveys 2022 (6); by Azzedine Boukerche, Mingzhi Sha
2022	A Survey on Bias and Fairness in Machine Learning ACM Computing Surveys 2022 (6); by Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan
2022	Machine Learning into Metaheuristics: A Survey and Taxonomy ACM Computing Surveys 2022 (6); by El-Ghazali Talbi
2022	Applying Machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them ACM Computing Surveys 2022 (6); by Thomas Plötz
2022	Deep Learning-based Anomaly Detection in Cyber-physical Systems: Progress and Opportunities ACM Computing Surveys 2022 (5); by Yuan Luo, Ya Xiao, Long Cheng, Guojun Peng, Danfeng Daphne Yao
2022	Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain ACM Computing Surveys 2022 (5); by Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach
2022	A Systematic Literature Review on Federated Machine Learning: From a Software Engineering Perspective ACM Computing Surveys 2022 (5); by Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu
2022	Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges ACM Computing Surveys 2022 (5); by Rob Ashmore, Radu Calinescu, Colin Paterson
2022	Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities ACM Computing Surveys 2022 (4); by Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
2022	Vision-based Autonomous Vehicle Recognition: A New Challenge for Deep Learning-based Systems ACM Computing Surveys 2022 (4); by Azzedine Boukerche, Xiren Ma
2022	Deep Learning-based Text Classification: A Comprehensive Review ACM Computing Surveys 2022 (3); by Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
2022	Machine Learning for Detecting Data Exfiltration: A Review ACM Computing Surveys 2022 (3); by Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire
2022	Human Induction in Machine Learning: A Survey of the Nexus ACM Computing Surveys 2022 (3); by Petr Spelda, Vit Stritecky
2022	Object Detection Using Deep Learning Methods in Traffic Scenarios ACM Computing Surveys 2022 (2); by Azzedine Boukerche, Hou Zhijun
2022	Deep Learning for Anomaly Detection: A Review ACM Computing Surveys 2022 (2); by Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
2022	When Machine Learning Meets Privacy: A Survey and Outlook ACM Computing Surveys 2022 (2); by Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, Zihuai Lin
2022	Deep AI Enabled Ubiquitous Wireless Sensing: A Survey ACM Computing Surveys 2022 (2); by Chenning Li, Zhichao Cao, Yunhao Liu
2022	Data Protection in AI Services: A Survey ACM Computing Surveys 2022 (2); by Christian Meurisch, Max Mühlhäuser
2022	Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges - A Practitioners' Cookbook ACM Computing Surveys 2022 (1); by Behroz Mirza, Tahir Q. Syed, Behraj Khan, Muhammad Yameen Malik
2022	From Server-Based to Client-Based Machine Learning: A Comprehensive Survey ACM Computing Surveys 2022 (1); by Renjie Gu, Chaoyue Niu, Fan Wu, Guihai Chen, Chun Hu, Chengfei Lyu, Zhihua Wu

UX & Human Factors / IEEE Computer Graphics & Applications

2022	Visualization for AI Explainability IEEE Computer Graphics & Applications 2022 (6); by L. Miguel Encarnação, Jörn Kohlhammer, Chad A. Steed
2022	Which Biases and Reasoning Pitfalls Do Explanations Trigger? Decomposing Communication Processes in Human-AI Interaction IEEE Computer Graphics & Applications 2022 (6); by Mennatallah El-Assady, Caterina Moruzzi
2022	Special Issue on Machine Learning Approaches in Big Data Visualization IEEE Computer Graphics & Applications 2022 (3); by Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Tobias Schreck
2022	Visual Analytics for Human-Centered Machine Learning IEEE Computer Graphics & Applications 2022 (1); by Natalia V. Andrienko, Gennady L. Andrienko, Linara Adilova, Stefan Wrobel, Theresa-Marie Rhyne

Computing (specialised) / IEEE Internet Computing

2022	Interoperable AI: Evolutionary Race Toward Sustainable Knowledge Sharing IEEE Internet Computing 2022 (6); by Stefan Sarkadi, Andrea G. B. Tettamanzi, Fabien Gandon
2022	Orchestrating Networked Machine Learning Applications Using Autosteer IEEE Internet Computing 2022 (6); by Zhenyu Wen, Haozhen Hu, Renyu Yang, Bin Qian, Ringo W. H. Sham, Rui Sun, Jie Xu, Pankesh Patel, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan
2022	Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety IEEE Internet Computing 2022 (5); by Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
2022	Physics-Informed Machine Learning for Uncertainty Reduction in Time Response Reconstruction of a Dynamic System IEEE Internet Computing 2022 (4); by Amirhassan Abbasi, Chandrasekhar Nataraj
2022	Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI IEEE Internet Computing 2022 (4); by Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth
2022	Adversarial Machine Learning for Protecting Against Online Manipulation IEEE Internet Computing 2022 (2); by Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi
2022	Utilizing AI Planning on the Edge IEEE Internet Computing 2022 (2); by Ilir Murturi, Adam Egyed, Schahram Dustdar

Computing (specialised) / IEEE Intelligent Systems

2022	Machine Learning From Crowds Using Candidate Set-Based Labeling IEEE Intelligent Systems 2022 (6); by Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez
2022	Artificial Intelligence for Natural Disaster Management IEEE Intelligent Systems 2022 (6); by Guansong Pang
2022	Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action IEEE Intelligent Systems 2022 (5); by Longbing Cao
2022	AutoAI: Autonomous AI IEEE Intelligent Systems 2022 (5); by Longbing Cao
2022	From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V IEEE Intelligent Systems 2022 (4); by Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang
2022	Deep Learning Applications IEEE Intelligent Systems 2022 (3); by Longbing Cao
2022	Welcome to Big AI IEEE Intelligent Systems 2022 (3); by Michael J. Wooldridge
2022	Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci IEEE Intelligent Systems 2022 (3); by Longbing Cao
2022	Deep Learning Architectures for Approximating Goldbach's Function in New Regions IEEE Intelligent Systems 2022 (3); by Avigail Stekel, Amos Azaria
2022	AI in Combating the COVID-19 Pandemic IEEE Intelligent Systems 2022 (2); by Longbing Cao
2022	The AI Chip Race IEEE Intelligent Systems 2022 (2); by Guansong Pang
2022	The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences IEEE Intelligent Systems 2022 (2); by Feiyue Wang, Wenwen Ding, Xiao Wang, Jon Garibaldi, Siyu Teng, Imre J. Rudas, Cristina Olaverri-Monreal
2022	A New SVDD Approach to Reliable and Explainable AI IEEE Intelligent Systems 2022 (2); by Alberto Carlevaro, Maurizio Mongelli
2022	AI in Beijing 2022 Olympic Winter Games IEEE Intelligent Systems 2022 (1); by Guansong Pang
2022	AI Science and Engineering: A New Field IEEE Intelligent Systems 2022 (1); by Longbing Cao
2022	A New Age of AI: Features and Futures IEEE Intelligent Systems 2022 (1); by Longbing Cao
2022	Trustworthy Machine Learning IEEE Intelligent Systems 2022 (1); by Bhavani Thuraisingham
2022	AI Science and Engineering IEEE Intelligent Systems 2022 (1); by Longbing Cao

Hardware and Microprocessor Systems / IEEE Micro

2022	AIDA: Associative In-Memory Deep Learning Accelerator IEEE Micro 2022 (6); by Esteban Garzón, Adam Teman, Marco Lanuzza, Leonid Yavits
2022	Special Issue on Artificial Intelligence at the Edge IEEE Micro 2022 (6); by Gabriel Falcão, Joseph R. Cavallaro
2022	A Hardware/Software Co-Design Vision for Deep Learning at the Edge IEEE Micro 2022 (6); by Flavio Ponzina, Simone Machetti, Marco Rios, Benoît Walter Denkinger, Alexandre Levisse, Giovanni Ansaloni, Miguel Peón Quirós, David Atienza
2022	Pod-racing: bulk-bitwise to floating-point compute in racetrack memory for machine learning at the edge IEEE Micro 2022 (6); by Sébastien Ollivier, Xinyi Zhang, Yue Tang, Chayanika Choudhuri, Jingtong Hu, Alex K. Jones
2022	Artificial Intelligence at the Edge: Designs and Architectures for Pervasive Intelligence IEEE Micro 2022 (6); by Lizy Kurian John
2022	Can We Trust Undervolting in FPGA-Based Deep Learning Designs at Harsh Conditions? IEEE Micro 2022 (3); by Fahrettin Koc, Behzad Salami, Oguz Ergin, Osman S. Unsal, Adrián Cristal Kestelman
2022	Accelerating Deep Learning Using Interconnect-Aware UCX Communication for MPI Collectives IEEE Micro 2022 (2); by Yiltan Hassan Temuçin, Amir Hossein Sojoodi, Pedram Alizadeh, Benjamin Kitor, Ahmad Afsahi
2022	MHADBOR: AI-Enabled Administrative-Distance-Based Opportunistic Load Balancing Scheme for an Agriculture Internet of Things Network IEEE Micro 2022 (1); by Muhammad Adil, Muhammad Khurram Khan, Mona Jamjoom, Ahmed Farouk
2022	Artificial Intelligence Best Practices in Smart Agriculture IEEE Micro 2022 (1); by Faisal Karim Shaikh, Mohsin Ali Memon, Naeem Ahmed Mahoto, Sherali Zeadally, Jamel Nebhen
2022	Special Issue on Artificial Intelligence, Edge, and Internet of Things for Smart Agriculture IEEE Micro 2022 (1); by Sudip Misra, Neeraj Kumar

Enterprise Computing / IEEE IT Professional

2022	Cognitive AI for Mitigation of Misinformation in Online Social Networks IEEE IT Professional 2022 (5); by Indu Valsaladevi, Sabu M. Thampi
2022	Responsible, Explainable, and Emotional AI IEEE IT Professional 2022 (5); by Stephen J. Andriole, Saeid Abolfazli, Michalis Feidakis
2022	Applying Explainable Artificial Intelligence Models for Understanding Depression Among IT Workers IEEE IT Professional 2022 (5); by V. Adarsh, G. R. Gangadharan
2022	The AI-Cybersecurity Nexus: The Good and the Evil IEEE IT Professional 2022 (5); by San Murugesan
2022	Detecting Drift in Deep Learning: A Methodology Primer IEEE IT Professional 2022 (5); by Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra
2022	Explainable Artificial Intelligence for Smart Grid Intrusion Detection Systems IEEE IT Professional 2022 (5); by Alper Yayla, Lida Haghnegahdar, Ersin Dincelli
2022	Adversarial Attacks and Defenses for Deployed AI Models IEEE IT Professional 2022 (4); by Kishor Datta Gupta, Dipankar Dasgupta
2022	Masterminds of Deep Learning IEEE IT Professional 2022 (3); by George O. Strawn
2022	From Human-AI Confrontation to Human-AI Symbiosis in Society 5.0: Transformation Challenges and Mechanisms IEEE IT Professional 2022 (3); by Xi Zhang, Xin Wei, Carol X. J. Ou, Emiel Caron, Hengshu Zhu, Hui Xiong
2022	How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection IEEE IT Professional 2022 (2); by Michal Choras, Aleksandra Pawlicka, Rafal Kozik, Michal Wozniak
2022	COVID-19 Fake News Detection Using Ensemble-Based Deep Learning Model IEEE IT Professional 2022 (2); by Abhinav Kumar, Jyoti Prakash Singh, Amit Kumar Singh
2022	Digital Health and Artificial Intelligence: Advancing Healthcare Provision in Latin America IEEE IT Professional 2022 (2); by Roberto García Alonso, Ulf Thoene, Diego Dávila Benavides
2022	Intelligent Traffic Signal Automation Based on Computer Vision Techniques Using Deep Learning IEEE IT Professional 2022 (1); by Muhammad Talha Ubaid, Tanzila Saba, Hafiz Umer Draz, Amjad Rehman, Muhammad Usman Ghani Khan, Hoshang Kolivand

UX & Human Factors / ACM interactions

2022	Practical routes in the UX of AI, or sharing more beaten paths ACM interactions 2022 (5); by Henriette Cramer
2022	Between metaphor and meaning: AI and being human ACM interactions 2022 (5); by Maya Indira Ganesh
2022	Data excellence for AI: why should you care? ACM interactions 2022 (2); by Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann
2022	All equation, no human: the myopia of AI models ACM interactions 2022 (2); by Nithya Sambasivan

Computing (specialised) / IEEE Security & Privacy

2022	Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware IEEE Security & Privacy 2022 (5); by Luca Demetrio, Battista Biggio, Fabio Roli
2022	Taking a Measured Approach to Investing in Information Infrastructure for Attaining Leading-Edge Trustworthy Artificial Intelligence IEEE Security & Privacy 2022 (5); by James Bret Michael
2022	Machine Learning Security and Privacy IEEE Security & Privacy 2022 (5); by Nathalie Baracaldo, Alina Oprea
2022	Data Privacy and Trustworthy Machine Learning IEEE Security & Privacy 2022 (5); by Martin Strobel, Reza Shokri
2022	Phishing Detection Leveraging Machine Learning and Deep Learning: A Review IEEE Security & Privacy 2022 (5); by Dinil Mon Divakaran, Adam Oest
2022	Machine Learning for Source Code Vulnerability Detection: What Works and What Isn't There Yet IEEE Security & Privacy 2022 (5); by Tina Marjanov, Ivan Pashchenko, Fabio Massacci
2022	Online Log Data Analysis With Efficient Machine Learning: A Review IEEE Security & Privacy 2022 (3); by Florian Skopik, Max Landauer, Markus Wurzenberger

Computing (specialised) / IEEE Computing in Science & Engineering

2022	Hybrid Models That Combine Machine Learning and Simulations IEEE Computing in Science & Engineering 2022 (5); by Philippe J. Giabbanelli
2022	Emerging Trends in Machine Learning for Computational Fluid Dynamics IEEE Computing in Science & Engineering 2022 (5); by Ricardo Vinuesa, Steven L. Brunton

Computing (specialised) / IEEE Pervasive Computing

2022	aiMSE: Toward an AI-Based Online Mental Status Examination IEEE Pervasive Computing 2022 (4); by Yanchen Liu, Stephen Xia, Jingping Nie, Peter Wei, Zhan Shu, Jeffrey Andrew Chang, Xiaofan Jiang
2022	A Cloud-Based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers IEEE Pervasive Computing 2022 (2); by Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Naseer Ahmad, Samantha Haycocks, David Gillespie, Moi Hoon Yap

UX & Human Factors / IEEE Multimedia

2022	Efficient Multimedia Frame-Skipping Architecture Using Deep Learning in Vehicular Networks IEEE Multimedia 2022 (2); by Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava
2022	Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer's Disease IEEE Multimedia 2022 (2); by Shubham Dwivedi, Tripti Goel, Muhammad Tanveer, R. Murugan, Rahul Sharma

Other / IEEE Annals of the History of Computing

2022	Between AI and Learning Science: The Evolution and Commercialization of Intelligent Tutoring Systems IEEE Annals of the History of Computing 2022 (1); by Shreeharsh Kelkar
2022	Early AI Applications at Schlumberger IEEE Annals of the History of Computing 2022 (1); by Reid G. Smith, Eric Schoen, Jay M. Tenenbaum
2022	The Business Machine in Biology - The Commercialization of AI in the Life Sciences IEEE Annals of the History of Computing 2022 (1); by Hallam Stevens
2022	Expert Systems: Commercializing Artificial Intelligence IEEE Annals of the History of Computing 2022 (1); by David C. Brock, Burton Grad
2022	An Artificial Intelligence Odyssey: From the Research Lab to the Real World IEEE Annals of the History of Computing 2022 (1); by Peter E. Hart

Computing (general) / PhD Theses

2022	User-Centered Deep Learning for Medical Image Analysis PhD Theses 2022 (1); by Yuan Liang
2022	Machine Learning Methods for Image-based Personalized Cancer Screening PhD Theses 2022 (1); by Adam Yala
2022	Deep Learning in Cancer Biology PhD Theses 2022 (1); by Utkrisht Rajkumar
2022	Interactive AI Model Debugging and Correction PhD Theses 2022 (1); by Tongshuang Wu
2022	Creating and Collecting Meaningful Musical Material with Machine Learning PhD Theses 2022 (1); by Jon Gillick
2022	Incorporating Intent, Impact, and Context for Beneficial Machine Learning PhD Theses 2022 (1); by Esther Rolf
2022	Evidence-based AI Ethics PhD Theses 2022 (1); by William Boag
2022	Machine Learning Approaches for Equitable Healthcare PhD Theses 2022 (1); by Irene Y. Chen
2022	An End-to-End Platform for Multi-Modal Machine Learning Affective Computing Services PhD Theses 2022 (1); by Emad Kasaeyan Naeini
2022	Towards Socially and Economically Beneficial Machine Learning PhD Theses 2022 (1); by Wenshuo Guo
2022	Deep Learning Algorithms for Accelerating Fluid Simulations PhD Theses 2022 (1); by Octavi Obiols-Sales
2022	Machine Learning: Metrics and Embeddings PhD Theses 2022 (1); by Timothy Chu
2022	Towards Ultra-Efficient Machine Learning for Edge Inference PhD Theses 2022 (1); by Bingqian Lu
2022	Disruptive Research on Distributed Machine Learning Systems PhD Theses 2022 (1); by Guanhua Wang
2022	Deep Learning Applications in Biomedical Sciences and Bioinformatics PhD Theses 2022 (1); by Siwei Chen
2022	Towards Effective Tools for Debugging Machine Learning Models PhD Theses 2022 (1); by Julius Adebayo
2022	Machine Learning for Query Optimization PhD Theses 2022 (1); by Zongheng Yang
2022	Deep Learning Tools for Next-Generation Connectomics PhD Theses 2022 (1); by Lu Mi
2022	Understanding Biomedical Machine Learning Models PhD Theses 2022 (1); by Joseph D. Janizek
2022	Protein Structure Accuracy Prediction with Deep Learning and its Application to Structure Prediction and Design PhD Theses 2022 (1); by Naozumi Hiranuma
2022	Characterizing and evaluating 2D material properties using spectroscopic methods and machine learning PhD Theses 2022 (1); by Zhuofa Chen
2022	From Information Theory to Machine Learning Algorithms: A Few Vignettes PhD Theses 2022 (1); by Jongha Jon Ryu
2022	Theoretical insights on generalization in supervised and self-supervised deep learning PhD Theses 2022 (1); by Colin Wei
2022	Using Expert Interpretation and Reasoning to Guide Model Selection in Machine Learning PhD Theses 2022 (1); by Jiaxuan Wang
2022	Beyond Worst-Case Analysis of Optimization in the Era of Machine Learning PhD Theses 2022 (1); by Emmanouil-Vasileios Vlatakis-Gkaragkounis
2022	Social Dynamics of Machine Learning for Decision Making PhD Theses 2022 (1); by Lydia T. Liu
2022	Deep Learning on Geometry Representations PhD Theses 2022 (1); by Dmitriy Smirnov
2022	Three Maxims for Developing Human-Centered AI for DecisionMaking PhD Theses 2022 (1); by Gagan Bansal
2022	Enhancing Robustness through Domain Faithful Deep Learning Systems PhD Theses 2022 (1); by Ananth Balashankar
2022	Deep Learning Models On Hand Pose Estimation and Mesh Reconstruction From RGB Images PhD Theses 2022 (1); by Deying Kong
2022	Devices and Algorithms for Analog Deep Learning PhD Theses 2022 (1); by O. Murat Onen
2022	Multiscaling and Machine Learning Approaches to Physics Simulation PhD Theses 2022 (1); by Peter Yichen Chen
2022	Physics-Informed Machine Learning for Computational Imaging PhD Theses 2022 (1); by Kristina Monakhova
2022	Resource-Efficient Methods in Machine Learning PhD Theses 2022 (1); by Kiran Vodrahalli
2022	A Framework for Managing Heterogeneous Memory for Large Scale Machine Learning Workloads PhD Theses 2022 (1); by Mark Hildebrand
2022	Efficient Optimization Algorithms for Machine Learning PhD Theses 2022 (1); by Armin Askari
2022	Bayesian Deep Learning Methods in Magnetic Resonance Imaging (MRI) and Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging (PET/MRI) PhD Theses 2022 (1); by Andrew P. Leynes
2022	Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure PhD Theses 2022 (1); by Po-Han Chiang
2022	Strategies for Fair, Explainable, and Reliable Machine Learning Using Information Theory PhD Theses 2022 (1); by Sanghamitra Dutta
2022	Structural Defense Techniques in Adversarial Machine Learning PhD Theses 2022 (1); by Can Bakiskan
2022	Large Scale Analysis of Astronomical Data Using Machine Learning and Visualization Techniques PhD Theses 2022 (1); by Ryan Hausen
2022	Machine Learning Based Porcine Respiratory and Reproductive Syndrome Forecasting PhD Theses 2022 (1); by Mohammadsadegh Shamsabardeh
2022	Interpretable Artificial Intelligence and Algorithmic Decision Making Processes to Analyze User Behaviors and Their Socio-Economic Impacts PhD Theses 2022 (1); by Ehsan Gholami
2022	Data-Centric Machine Learning for Speech and Audio PhD Theses 2022 (1); by Ali Raza Syed
2022	Hierarchical Temporal Structure and Deep Learning Methods of Speech and Music PhD Theses 2022 (1); by Adolfo G. Ramirez-Aristizabal
2022	Identifying, Addressing, and Understanding Challenging Cases in Machine Learning PhD Theses 2022 (1); by Cinjon Resnick
2022	Domain Specific Machine Learning - A No-Free-Lunch Perspective PhD Theses 2022 (1); by Matthew Nero
2022	Validity Challenges in Machine Learning Benchmarks PhD Theses 2022 (1); by John Miller
2022	Narrative Instruments: AI-Based Playable Media for Storytelling PhD Theses 2022 (1); by Max Kreminski
2022	AI for Design Optimization and Design for AI Acceleration PhD Theses 2022 (1); by Uday Mallappa
2022	Deep Learning for the Design and Characterization of Nanophotonic Materials and Structures PhD Theses 2022 (1); by Christopher Yeung
2022	Leveraging machine learning for managing prefetchers and designing secure standard cells PhD Theses 2022 (1); by Furkan Eris
2022	Elastic Processing and Hardware Architectures for Machine Learning PhD Theses 2022 (1); by Liu Liu
2022	Machine learning in health informatics PhD Theses 2022 (1); by Georgios Mavroudeas
2022	Development of Machine Learning Algorithms for Low-Resolution MIMO Signal Processing PhD Theses 2022 (1); by Van Ly Nguyen
2022	Applied Machine Learning for Analyzing and Defending against Side Channel Threats PhD Theses 2022 (1); by Han Wang
2022	AI for Optimized Execution of AI PhD Theses 2022 (1); by Byung Hoon Ahn
2022	Hardware Modeling and Efficient Architectural Exploration for Machine Learning Accelerators PhD Theses 2022 (1); by Tianqi Tang
2022	Modeling and optimization of emerging on-chip cooling technologies via machine learning PhD Theses 2022 (1); by Zihao Yuan
2022	Machine Learning for Gravitational-Wave Astronomy: Methods and Applications for High-Dimensional Laser Interferometry Data PhD Theses 2022 (1); by Robert E. Colgan
2022	Strategies for Selecting and Adapting Machine Learning Systems to Support Different Types of Experts PhD Theses 2022 (1); by Alex Okeson
2022	Human-efficient Discovery of Edge-based Training Data for Visual Machine Learning PhD Theses 2022 (1); by Ziqiang Feng
2022	Hardware-Aware Efficient Deep Learning PhD Theses 2022 (1); by Zhen Dong
2022	Fair Representations in Machine Learning Pipelines PhD Theses 2022 (1); by Mohsen Abbasi
2022	Application-Aware Scheduling in Deep Learning Software Stacks PhD Theses 2022 (1); by Peifeng Yu
2022	Building Assistive Sensorimotor Interfaces through Human-in-the-Loop Machine Learning PhD Theses 2022 (1); by Siddharth Reddy
2022	AI-enabled palliative care : from algorithms to clinical deployment PhD Theses 2022 (1); by Anand Avati
2022	A Principled Approach to Trustworthy Machine Learning PhD Theses 2022 (1); by Yao-Yuan Yang
2022	Improving Machine Learning Models for Large Data and Image Detection PhD Theses 2022 (1); by Robin Elizabeth Yancey
2022	On deep learning tools for scientific discovery in healthcare PhD Theses 2022 (1); by Mukund Sudarshan
2022	Useful interpretability for real-world machine learning PhD Theses 2022 (1); by Chandan Singh
2022	Computational deep learning microscopy PhD Theses 2022 (1); by Kevin de Haan
2022	Bridging Deep Learning and Electric Power Systems PhD Theses 2022 (1); by Priya Lekha Donti
2022	Simplifying Data Preparation for Machine Learning on Tabular Data PhD Theses 2022 (1); by Vraj Shah
2022	Efficient Machine Learning by Leveraging Data Dependent Information PhD Theses 2022 (1); by Pei-Hung Chen
2022	Combining Geometric and Topological Ideas with Machine Learning for Analyzing Complex Data PhD Theses 2022 (1); by Qi Zhao
2022	Machine Learning for Information Extraction from Pathology Reports and Adaptive Offline Value Estimation in Reinforcement Learning PhD Theses 2022 (1); by Briton Park
2022	Spatio-Temporal Connectome Data Analysis using Machine Learning and Visualization PhD Theses 2022 (1); by Ran Xu
2022	Physics-Informed Machine Learning Models for Power Transmission Systems PhD Theses 2022 (1); by Xianghao Kong
2022	Compiler and Runtime Techniques for Optimizing Deep Learning Applications PhD Theses 2022 (1); by Steven Lyubomirsky
2022	Bridging Theory and Practice in Deep Learning: Optimization and Generalization PhD Theses 2022 (1); by Zhiyuan Li
2022	Efficient and Robust Algorithms for Practical Machine Learning PhD Theses 2022 (1); by Yujia Bao
2022	Innovative derivative pricing and time series simulation techniques via machine and deep learning PhD Theses 2022 (1); by Weilong Fu
2022	Applications of Probabilistic Machine Learning Models to Semiconductor Fabrication PhD Theses 2022 (1); by Christopher I. Lang
2022	When do machine learning models generalize well? A signal-processing perspective PhD Theses 2022 (1); by Vignesh Subramanian
2022	Diversifying Language Generated by Deep Learning Models in Dialogue Systems PhD Theses 2022 (1); by Juraj Juraska
2022	Using Machine Learning to Construct and Categorize Density Functionals PhD Theses 2022 (1); by Bhupalee Kalita
2022	Equilibrium Approaches to Modern Deep Learning PhD Theses 2022 (1); by Shaojie Bai
2022	Optimization Theory and Machine Learning Practice: Mind the Gap PhD Theses 2022 (1); by Jingzhao Zhang
2022	Machine Learning for AI-Augmented Design Space Exploration of Computer Systems PhD Theses 2022 (1); by Jihye Kwon
2022	Non-competitive and competitive deep learning for imaging applications PhD Theses 2022 (1); by Xiao Zhou
2022	Towards Training AI Agents with All Types of Experiences: A Standardized ML Formalism PhD Theses 2022 (1); by Zhiting Hu
2022	Neurosymbolic Machine Learning for Reasoning PhD Theses 2022 (1); by Kaiyu Yang
2022	Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks PhD Theses 2022 (1); by Siddarth Srinivasan
2022	Towards machine learning models robust to adversarial examples and backdoor attacks PhD Theses 2022 (1); by Aleksandar Makelov
2022	Probing, Improving, and Verifying Machine Learning Model Robustness PhD Theses 2022 (1); by Kai Yuanqing Xiao
2022	Machine Learning for MEMS Structure Design and Pulse Signal Analysis PhD Theses 2022 (1); by Ruiqi Guo
2022	Modern Machine Learning in Time Series Forecasting PhD Theses 2022 (1); by Xiaoyong Jin
2022	Deep learning applications in wildlife recognition PhD Theses 2022 (1); by Zhongqi Miao
2022	Topics in Machine Learning PhD Theses 2022 (1); by DiJia Su
2022	Machine Learning Algorithms for Efficient Acquisition and Ethical Use of Personal Information in Decision Making PhD Theses 2022 (1); by Yegor Tkachenko
2022	Cognitive analyses of machine learning systems PhD Theses 2022 (1); by Erin Grant
2022	Tackling health inequity using machine learning fairness, AI, and optimization PhD Theses 2022 (1); by Miao Qi
2022	Imperfect Label Information in Multimodal Human-Centric Machine Learning PhD Theses 2022 (1); by Yi Ding
2022	Predicting Cancer Driver Mutations Using Deep Learning Protein Language Models PhD Theses 2022 (1); by Judy Du
2022	Towards Knowledge-capable AI: Agents that See, Speak, Act and Know PhD Theses 2022 (1); by Kenneth Marino
2022	Towards Trustworthy Machine Learning PhD Theses 2022 (1); by Adam Gleave
2022	Query Optimizations for Deep Learning Systems PhD Theses 2022 (1); by Supun Nakandala
2022	Machine learning for magnetic resonance spectroscopy: modeling in the preclinical development process PhD Theses 2022 (1); by Marcia S. Louis
2022	Wireless Sensing with Machine Learning: Through-Wall Vision & Contactless Health Monitoring PhD Theses 2022 (1); by Mingmin Zhao
2022	Towards Robust and Resilient Machine Learning PhD Theses 2022 (1); by Adarsh Prasad
2022	End-to-End Joint Image Compression and Deep Learning under Bandwidth Constrained Environments PhD Theses 2022 (1); by Lahiru D. Chamain
2022	Efficient, Affordable, and Scalable Deep Learning Systems PhD Theses 2022 (1); by John Thorpe
2022	Optimization: Stochastic thermodynamics, machine learning, and numerical algorithms PhD Theses 2022 (1); by Neha S. Wadia
2022	Applications of Deep Learning to Medical Image Analysis in Ophthalmology PhD Theses 2022 (1); by Yusuke Kikuchi
2022	On Uncertainty and Robustness in Deep Learning for Natural Language Processing PhD Theses 2022 (1); by Yijun Xiao
2022	Deep learning models for the analysis of single cell genomics PhD Theses 2022 (1); by Nelson Jamse Johansen
2022	Deep Learning for Transcriptomics and Proteomics PhD Theses 2022 (1); by Ayse Berceste Dincer
2022	Graph-based Algorithms in Computer Vision, Machine Learning, and Signal Processing. (Algorithmes basés sur les graphes pour la vision par ordinateur, l'apprentissage automatique et le traitement du signal) PhD Theses 2022 (1); by Jhony H. Giraldo
2022	Vers une intelligence artificielle autonome et explcable pour des environnements incertains. (Towards an autonomous and explainable artificial intelligence for uncertain environments) PhD Theses 2022 (1); by Romain Orhand
2022	Détection d'intrusions dans les objets connectés par des techniques d'apprentissage automatique: étude dans les domaines de l'éducation et des voitures connectées. (Network Intrusion detection in IoT devices using machine learning techniques: a study in education and connected cars) PhD Theses 2022 (1); by Arnaud Rosay
2022	Adversarial mitigation to reduce unwanted biases in machine learning. (Réduire les biais indésirables en apprentissage automatique par atténuation adverse) PhD Theses 2022 (1); by Vincent Grari
2022	Recherche combinatoire guidée par apprentissage artificiel en chimie moléculaire. (Combinatorial search lead by machine learning for molecular chemistry) PhD Theses 2022 (1); by Jules Leguy
2022	A General framework for Neuron Instance Segmentation based on Deep Learning. (Un cadre général pour la segmentation d'instance de neurones basé sur l'apprentissage profond) PhD Theses 2022 (1); by Huaqian Wu
2022	Deep learning for churn prediction. (Apprentissage profond pour la prédiction de l'attrition) PhD Theses 2022 (1); by Louis Geiler
2022	Integration and non-intrusive human clinic machine learning for kidney assessment. (Intégration et clinique humaine non intrusive : apprentissage automatique pour l'évaluation de la qualité de greffons rénaux) PhD Theses 2022 (1); by Quang Huy Do
2022	Contribution à l'analyse de causalité par apprentissage automatique pour l'aide à la décision, dans un contexte de supervision des systèmes pour l'industrie 4.0. (Contribution to causality analysis by machine learning for decision support, in a context of system supervision for industry 4.0) PhD Theses 2022 (1); by Kenza Amzil
2022	Étude de la classification des vidéos de foule par apprentissage profond. (Study of the classification of crowd videos using deep learning) PhD Theses 2022 (1); by Mounir Bendali-Braham
2022	Allocation de ressources par une approche hybride apprentissage automatique et optimisation pour l'hébergement et l'infogérance de services web. (Resource allocation using a hybrid machine learning and optimization approach for hosting and managed web services) PhD Theses 2022 (1); by Étienne Leclercq
2022	Visualisation pour l'interprétation et l'explicabilité des prédictions issues de modèles d'apprentissage profond en TAL. (Visualization for interpretation and explicability of deep learning models predictions in NLP) PhD Theses 2022 (1); by Alexis Delaforge
2022	Robust Machine Learning Approaches to Wireless Communication Networks. (Approches robustes d'apprentissage automatique pour les réseaux de communication sans fil) PhD Theses 2022 (1); by Matteo Zecchin
2022	Adversary-aware machine learning models for malware detection systems. (Modèles d'apprentissage robustes aux attaques pour les systèmes de détection de logiciels malveillants) PhD Theses 2022 (1); by Asim Darwaish
2022	Adaptation de méthodes d'apprentissage automatique dans l'industrie du semiconducteur : détection d'excursions, analyse de root cause et intégration de connaissances. (Adaptation of machine learning methods in the semiconductor industry: excursion detection, root cause analysis and knowledge integration) PhD Theses 2022 (1); by Mathias Chastan
2022	Geometric deep learning for structural bioinformatics. (Apprentissage profond géométrique pour la bioinformatique structurale) PhD Theses 2022 (1); by Vincent Mallet
2022	Combination of gene regulatory networks and sequential machine learning for drug repurposing. (Combinaison de réseaux de régulation génique et d'apprentissage statistique séquentiel pour le repositionnement de médicaments) PhD Theses 2022 (1); by Clémence Réda
2022	Remote photoplethysmography measurement and filtering using deep learning based methods. (Mesure et filtrage de signaux ppg sans contact par méthodes basées deep learning) PhD Theses 2022 (1); by Deivid Botina-Monsalve
2022	Analyse par intelligence artificielle d'images de tomodensitométrie de patients traumatisés crâniens afin de prédire leur évolution neurologique. (Artificial intelligence analysis of cerebral scanner-X images of brain injured patients to predict their neurological evolution) PhD Theses 2022 (1); by Clément Brossard
2022	Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems. (Applications de l'Apprentissage Profond à la Conception de Systèmes de Communication Sans Fil Améliorés) PhD Theses 2022 (1); by Mathieu Goutay
2022	Deep learning methods and advancements in digital image forensics. (Méthodes et avancement d'apprentissage profond en criminalistique des images) PhD Theses 2022 (1); by Alexandre Berthet
2022	Analyse non intrusive du geste sportif dans des vidéos par apprentissage automatique. (Non-intrusive analysis of sports gestures in videos using machine learning) PhD Theses 2022 (1); by Jordan Calandre
2022	Machine learning for neuroimaging using a very large scale clinical datawarehouse. (Apprentissage automatique pour la neuro-imagerie à l'aide d'un entrepôt de données cliniques à très grande échelle) PhD Theses 2022 (1); by Simona Bottani
2022	Analyse des pathologies neuro-dégénératives par apprentissage profond. (Analysis of neuro-degenerative disorders using deep learning) PhD Theses 2022 (1); by Cecilia Ostertag
2022	Compression for deep learning. (Compression pour l'apprentissage en profondeur) PhD Theses 2022 (1); by Diana Resmerita
2022	Patient-centric approach to maximize CPAP therapy acceptance : AI-driven design, delivery, and monitoring of interventions. (Une approche centrée patient pour maximiser l'observance d'une thérapie par pression positive continue : conception orientée IA, déploiement et supervision des interventions) PhD Theses 2022 (1); by Jensen Selwyn Joymangul
2022	Segmentation d'images de microscopie cellulaire par apprentissage profond dans des contextes très peu supervisés. (Segmentation of cellular microscopy images by Deep Learning in very unsupervised contexts) PhD Theses 2022 (1); by Arnaud Deleruyelle
2022	Cryptography for Privacy-Preserving Machine Learning. (Cryptographie pour l'apprentissage automatique respectueux de la vie privée) PhD Theses 2022 (1); by Théo Ryffel
2022	Un premier pas vers la caractérisation de l'information véhiculée par les voix actées : dualité des informations personnage et locuteur. (Voice recommendation by deep learning) PhD Theses 2022 (1); by Mathias Quillot
2022	Utilisation de méthodes d'apprentissage automatique pour des tâches de pistage radar et de classification d'aéronefs. (Use of machine learning methods for radar tracking and aircrafts classification tasks) PhD Theses 2022 (1); by Sami Jouaber
2022	Watermarking machine learning models. (Tatouage numérique des modèles d'apprentissage automatique) PhD Theses 2022 (1); by Sofiane Lounici
2022	Equivariant Deep Learning Based on Scale-Spaces and Moving Frames. (Apprentissage Profond Équivariant Basé sur les Espaces d'Échelle et les Repères Mobiles) PhD Theses 2022 (1); by Mateus Sangalli
2022	Towards an Enhancement Effort Estimation Approach using Machine Learning Techniques. (Vers une approche d'estimation de l'effort d'amélioration en utilisant des techniques d'apprentissage automatique) PhD Theses 2022 (1); by Zaineb Sakhrawi
2022	Analyse d'images et apprentissage machine pour la détection des altérations des pierres des monuments historiques. (Image processing and machine learning for stone alterations detection in historical monuments) PhD Theses 2022 (1); by Koubouratou Idjaton
2022	Secure Machine Learning by means of Homomorphic Encryption and Verifiable Computing. (Apprentissage machine sécurisé à l'aide de chiffrement homomorphe et de calcul vérifiable) PhD Theses 2022 (1); by Abbass Madi
2022	Deep learning for embedded image compression in Earth Observation. (Aprentissage profond pour la compression embarquée d'images d'observation de la Terre) PhD Theses 2022 (1); by Vinicius Alves de Oliveira
2022	Deep learning for information retrieval : studying relevant signals for ad hoc search based on transformer models. (Deep Learning pour la recherche d'information : étudier les signaux pertinents pour la recherche ad hoc basée sur les modèles de transformers) PhD Theses 2022 (1); by Lila Boualili
2022	Robust liver vessel segmentation in medical images using 3-D deep learning approaches. (Une approche Deep Learning pour la segmentation robuste des vaisseaux hépatiques sur des images médicales 3-D) PhD Theses 2022 (1); by Abir Affane
2022	On the use of deep learning for ocean SAR image semantic segmentation. (De l'utilisation de l'apprentissage profond pour la segmentation d'images SAR océaniques) PhD Theses 2022 (1); by Aurélien Colin
2022	Mary-Morstan: a multi-objective modular framework to automatically configure machine learning algorithms. (Mary-Morstan: un framework modulaire et multiobjectif pour la configuration automatique d'algorithmes de machine learning) PhD Theses 2022 (1); by Laurent Parmentier
2022	Development of Artificial Intelligence Methods for the Analysis of Online Data for Medical Research Purposes : Use Case on the World Diabetes Distress Study. (Développement de méthodes d'intelligence artificielle pour l'analyse de données de réseaux sociaux et à des fins de recherche médicale : cas d'utilisation sur une étude mondiale sur le diabète) PhD Theses 2022 (1); by Adrian Ahne
2022	Advanced machine learning techniques based on DCA and applications to predictive maintenance. (Techniques avancées d'apprentissage automatique basées sur DCA et applications à la maintenance prédictive) PhD Theses 2022 (1); by Hoang Phuc Hau Luu
2022	Deep learning models and algorithms for sequential data problems: applications to language modelling and uncertainty quantification. (Modèles et algorithmes d'apprentissage profond pour de la donnée séquentielle: applications aux modèles de langage et à la quantification d'incertitude) PhD Theses 2022 (1); by Alice Martin
2022	Some applications of machine learning in finance. (Quelques applications de l'apprentissage automatique en finance) PhD Theses 2022 (1); by Zineb El Filali Ech-Chafiq
2022	Apprentissage automatique pour la détection d'anomalies dans les graphes issus des données réseau. (Machine learning for the detection of anomalies in graphs from network data) PhD Theses 2022 (1); by Kevin Hoarau
2022	Action Model Learning based on Regular Grammar Induction for AI Planning. (Apprentissage de Modèle d'Actions basé sur l'Induction Grammaticale Régulière pour la Planification en Intelligence Artificielle) PhD Theses 2022 (1); by Maxence Grand
2022	Molecular mechanisms of phase II metabolizing enzymes and ABC transporters, and their interactions with small molecules modeled through structure-based and machine learning methods. (Mécanismes moléculaires des enzymes de métabolisme de phase II et des transporteurs ABC, et leurs interactions avec de petites molécules modélisées par des méthodes structurales et d'apprentissage automatique) PhD Theses 2022 (1); by Balint Dudas
2022	Efficient machine learning techniques for indoor localization in wireless communication systems. (Techniques d'apprentissage automatique efficientes pour la localisation indoor dans les systèmes de communication sans fil) PhD Theses 2022 (1); by Siyang Liu
2022	Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique) PhD Theses 2022 (1); by Ons Aouedi
2022	Large scale urban transport control for enhanced resilience: Analysis via complex networks, artificial intelligence and Big Data processing. (Contrôle sur un réseau de transport à large échelle pour une résilience accrue: analyses via des réseaux complexes, de l'intelligence artificielle et des calculs Big Data) PhD Theses 2022 (1); by Cécile Daniel
2022	Exploring Prediction Strategies in Vehicular Networks Through Machine Learning Techniques and Hybrid Intelligence. (Exploration des stratégies de prédiction dans les réseaux véhiculaires via l'apprentissage automatique et l'intelligence hybride) PhD Theses 2022 (1); by Mamoudou Sangaré
2022	A generic and adaptive approach to explainable AI in autonomic systems: the case of the smart home. (Approche générique et adaptative de l'intelligence artificielle explicative pour les systèmes autonomiques connectés, appliquée à la maison intelligente) PhD Theses 2022 (1); by Étienne Houzé
2022	Apprentissage en profondeur fiable et explicable pour la classification de signaux acoustiques sous-marins. (Reliable and explainable deep learning for classification of underwater acoustic signals) PhD Theses 2022 (1); by Mahiout Thomas
2022	Vers une utilisation de l'Intelligence Artificielle dans un modèle numérique de climat. (Using Artificial Intelligence in a numerical climate model) PhD Theses 2022 (1); by Blanka Balogh
2022	Analyse d'images angiographiques rétiniennes de tomographie en cohérence optique par apprentissage profond pour l'aide au diagnostic de la dégénérescence maculaire liée à l'âge. (Optical Coherence Tomography Angiography Retinal images analysis by deep learning to aid in the diagnosis of Age-related Macular Degeneration) PhD Theses 2022 (1); by Kawther Taibouni
2022	Analyse de la posture par apprentissage automatique profond. (Posture analysis using deep machine learning) PhD Theses 2022 (1); by Kévin Réby
2022	Apprentissage automatique interactif pour les opérateurs du réseau électrique. (Interactive Machine Learning for power system operators) PhD Theses 2022 (1); by Laure Crochepierre
2022	L'Apprentissage artificiel au service du profilage des données. (Machine learning applied to data profiling) PhD Theses 2022 (1); by Marc Chevallier
2022	A novel efficient time series deep learning approach using classification, prediction and reinforcement : energy and telecom use case. (Une nouvelle approche d'apprentissage en profondeur efficace pour le traitement des séries temporelles utilisant la classification, la prédiction et le renforcement : cas d'utilisations Energie et télécommunications) PhD Theses 2022 (1); by Aicha Dridi
2022	Deep learning applied on Web security: Statically Identifying Web vulnerabilities using Deep Learning. (Apprentissage en profondeur appliqué à la sécurité du Web / Apprentissage en profondeur appliqué à la sécurité du Web: Identifié statiquement des vulnérabilités Web en utilisant des algorithmes d'apprentissage profond) PhD Theses 2022 (1); by Héloïse Maurel
2022	Deep learning on large clinical databases for image-based predictions of cardiac arrhythmias. (Apprentissage profond sur de grandes bases de données cliniques pour la prédiction des arythmies cardiaques à partir de l'imagerie) PhD Theses 2022 (1); by Buntheng Ly
2022	Efficient and Robust Protocols for Privacy-Preserving Semi-Decentralized Machine Learning. (Protocoles Efficaces et Robustes pour l'Apprentissage Automatique Semi-Décentralisé Préservant la Confidentialité) PhD Theses 2022 (1); by César Sabater
2022	Deep Learning for anomaly detection in industry 4.0. (Apprentissage profond pour la détection des anomalies dans l'industrie 4.0) PhD Theses 2022 (1); by Aurelien Keleko Teguede
2022	Contributions to computer vision and machine learning for plant variety testing. (Contributions à la vision par ordinateur et à l'apprentissage automatique pour les tests des variétés végétales) PhD Theses 2022 (1); by Mouad Zine El Abidine
2022	Développements d'algorithmes d'apprentissage machine pour l'analyse automatique de données biophysiques de haute résolution. (Development of machine learning algorithms for the automatic analysis of high resolution biophysical datasets) PhD Theses 2022 (1); by Laura Duciel
2022	Artificial intelligence methods for object recognition: applications in biomedical imaging. (Applications de l'intelligence artificielle pour la caractérisation de tissus ovariens cancéreux par l'analyse: d'images de centrosomes) PhD Theses 2022 (1); by Damien Blanc
2022	Inversion of geophysical data by deep learning. (Inversion de données géophysiques par apprentissage profond) PhD Theses 2022 (1); by Julio José Cárdenas Chapellín
2022	Deep learning approaches to assess speech intelligibility of head and neck cancer. (Approches d'apprentissage profond pour évaluer l'intelligibilité de la parole pour des cancers ORL) PhD Theses 2022 (1); by Sebastião Quintas
2022	Apprentissage profond robuste pour la conduite autonome. (Robust deep learning for autonomous driving) PhD Theses 2022 (1); by Charles Corbière
2022	Contraintes géométriques et topologiques pour la segmentation d'images médicales : approches hybrides variationnelles et par apprentissage profond. (Geometric and topological constraints for medical image segmentation : hybrid variational-based and deep learning-based approaches) PhD Theses 2022 (1); by Zoé Lambert
2022	Sensitivity analysis and algorithmic fairness for machine learning and artificial intelligence. (Analyse de sensibilité et équité algorithmique pour le machine learning et l'intelligence artificielle) PhD Theses 2022 (1); by Clément Benesse
2022	Automation of quality control and reduction of non-compliance using machine learning techniques at Faurecia Clean Mobility. (Automatisation du contrôle qualité et réduction des non conformités en utilisant des techniques de machine learning chez Faurecia Clean Mobility) PhD Theses 2022 (1); by Charbel El Hachem
2022	Decomposition of the scattered field into singularities for object classification using artificial intelligence algorithms. (Pré-traitement par décomposition en singularités du champ diffracté pour la classification d'objets par des algorithmes d'intelligence artificielle) PhD Theses 2022 (1); by Yasmina Zaky
2022	Reconnaissance d'actions humaines par apprentissage profond et génération de données étiquetées basées sur le jumeau numérique de poste cobotique industriel. (Human Action Recognition using Deep Learning and generation of label data based on the digital twin of an industrial cοbοtic workstation) PhD Theses 2022 (1); by Mejdi Dallel
2022	Deep learning interpretability with visual analytics : Exploring reasoning and bias exploitation. (Interprétabilité de l'apprentissage profond via analyse visuelle : Exploration de raisonnements et de l'exploitation de biais) PhD Theses 2022 (1); by Theo Jaunet
2022	Deep learning for automatic facial expression assessment with application to the expression of pain. (Apprentissage profond pour l'évaluation automatique des expressions faciales avec application à l'expression de la douleur) PhD Theses 2022 (1); by Manh-Tu Vu
2022	Deep learning models for tabular data curation. (Modèles d'apprentissage profond pour le nettoyage des données tabulaires) PhD Theses 2022 (1); by Riccardo Cappuzzo
2022	Deep learning for SAR imagery: from denoising to scene understanding. (Apprentissage profond pour l'imagerie SAR: du débruitage à l'interprétation de scène) PhD Theses 2022 (1); by Emanuele Dalsasso
2022	Interprétation de l'apprentissage profond pour la prédiction de phénotypes à partir de données d'expression de gènes. (Interpretation of deep learning for phenotype prediction from gene expression data) PhD Theses 2022 (1); by Victoria Bourgeais
2022	Deep Learning for Unsupervised Relation Extraction. (Apprentissage profond pour l'extraction non supervisée de relations) PhD Theses 2022 (1); by Étienne Simon
2022	Adaptive deep learning system for writer identification in historical arabic documents. (Identification des auteurs des documents arabes historiques en utilisant des techniques de l'apprentissage profond) PhD Theses 2022 (1); by Michel Chammas
2022	Apprentissage automatique de données massives bathymétriques pour l'optimisation de systèmes de levé hydrographique. (Machine learning on massive bathymetric data for the optimization of hydrographic survey systems) PhD Theses 2022 (1); by Julian Le Deunf
2022	Modélisation de l'indice de sévérité du trouble de la parole à l'aide de méthodes d'apprentissage profond : d'une modélisation à partir de quelques exemples à un apprentissage auto-supervisé via une mesure entropique. (Modeling the severity index of speech impairment deep learning methods : a modeling from few examples to an entropic measure via self-supervised learning) PhD Theses 2022 (1); by Vincent Roger
2022	Towards Efficient and Explainable Automated Machine Learning Pipelines Design : Application to Industry 4.0 Data. (Vers une automatisation efficace et explicable des processus d'apprentissage automatique : Application à l'Industrie 4.0) PhD Theses 2022 (1); by Moncef Garouani
2022	Enhanced facial behavior recognition and rehabilitation using 3D biomechanical features and deep learning approaches. (Reconnaissance des comportements et rééducation fonctionnelle du visage à partir des descripteurs biomécaniques 3D et l'apprentissage profond) PhD Theses 2022 (1); by Duc-Phong Nguyen
2022	Prediction of the remaining useful life of aircraft components with deep learning methods. (Prédiction de durées de vie restante de composants aéronautiques par des approches de deep learning) PhD Theses 2022 (1); by Anass Akrim
2022	Machine Learning Techniques for UAV-assisted Networks. (Techniques d'apprentissage automatique pour les réseaux assistés par drone) PhD Theses 2022 (1); by Arzhang Shahbazi
2022	Analyse, classification et prédiction de consommation d'eau et d'électricité par des techniques de machine learning. (Analysis, classification and prediction of water and electricity consumption by machine learning techniques) PhD Theses 2022 (1); by Aida Boudhaouia
2022	Enabling real-world EEG applications with deep learning. (Apprentissage profond pour la mise en application de l'EEG en conditions réelles) PhD Theses 2022 (1); by Hubert J. Banville
2022	Automatic Source-to-Source Optimizations using Machine Learning. (L'automatisation des optimisations source-à -source de programmes en utilisant des techniques de Machine Learning) PhD Theses 2022 (1); by Maksim Berezov
2022	PAC-Bayesian Bounds and Beyond: Self-Bounding Algorithms and New Perspectives on Generalization in Machine Learning. (Bornes PAC-Bayésiennes et Au-delà: Algorithmes Auto-limitatifs et Nouvelles Perspectives sur la Généralisation en Apprentissage Automatique) PhD Theses 2022 (1); by Paul Viallard
2022	Deep Learning Process Integration on Heterogeneous GPU/FPGA Embedded Platforms. (Intégration des Processus d'Apprentissage Profond sur des Plateformes Hétérogènes Embarquées GPU/FPGA) PhD Theses 2022 (1); by Walther Carballo-Hernández
2022	Human activity recognition in smart homes : tackling data variability using context-dependent deep learning, transfer learning and data synthesis. (Reconnaissance de l'activité humaine dans les maisons intelligentes : traitement de la variabilité des données grâce à l'apprentissage contextuel, au transfert de connaissance et synthèse de données) PhD Theses 2022 (1); by Damien Bouchabou
2022	Deep learning for radar data exploitation of autonomous vehicle. (Apprentissage profond pour l'exploitation de données radar dans la conduite autonome) PhD Theses 2022 (1); by Arthur Ouaknine
2022	Prédiction et évitement d'obstacles basés deep learning : Application à la mobilité ferroviaire et routière. (Obstacle prediction and avoidance based on deep learning : Application to rail and road mobility) PhD Theses 2022 (1); by Antoine Mauri
2022	Automatic detection of business data anomalies with deep learning and application to the ADS-B protocol. (Détection automatique d'anomalies de données métiers avec deep learning et application au protocole ADS-B) PhD Theses 2022 (1); by Ralph Karam
2022	Apport de l'intelligence artificielle au domaine des villes intelligentes : application à l'assistance des déplacements des personnes à mobilité réduite. (Contribution of artificial intelligence in the field of smart cities : application to the assistance of people with reduced mobility in urban areas) PhD Theses 2022 (1); by Nathan Aky
2022	Méthodes de vision par ordinateur et d'apprentissage profond pour la localisation, le suivi et l'analyse de structure de plantes : application au désherbage de précision. (Computer vision and deep learning methods for locating, tracking and analyzing the structure of plants : Application to precision hoeing) PhD Theses 2022 (1); by Louis Lac
2022	Unsupervised Machine Learning Paradigms for the Representation of Music Similarity and Structure. (Paradigmes d'Apprentissage Automatique Non-Supervisés pour les Représentations de la Similarité et de la Structure Musicale) PhD Theses 2022 (1); by Axel Marmoret
2022	Regularized deep learning models for multi-anatomy segmentation in pediatric imaging. (Modèles d'apprentissage profond régularisés pour la segmentation multi-anatomie en imagerie pédiatrique) PhD Theses 2022 (1); by Arnaud Boutillon
2022	Approches multimodales d'apprentissage automatique pour la détection des rumeurs dans les microblogs. (Multimodal Machine Learning Approaches for Rumor Detection in Microblogs) PhD Theses 2022 (1); by Abderrazek Azri
2022	Emulation and prediction of cosmic web simulations through deep learning. (Émulation et prédiction de simulations de la toile cosmique par apprentissage profond) PhD Theses 2022 (1); by Marion Ullmo
2022	Extraction du fouillis de mer dans des images radar marin cohérent : modèles de champ de phases, méthodes de Boltzmann sur réseau, apprentissage. (Sea clutter extraction from coherent marine radar images : phase field models, lattice Boltzmann method, machine learning) PhD Theses 2022 (1); by Jordan Michelet
2022	Contribution à l'amélioration des performances des services médicaux urgents appliquant l'IoT et l'intelligence artificielle. (Improving the performance of Emergency Medical Services Devices Applying IoT and Artificial Intelligence contribution) PhD Theses 2022 (1); by Kaouter Karboub
2022	Détection de tendances et prévision de la demande d'articles de mode par les données massives et l'intelligence artificielle. (Trend detection and demand forecasting of fashion items using big data and artificial intelligence) PhD Theses 2022 (1); by Rita Sleiman
2022	Développement d'une plateforme pour le phénotypage à haut-débit des cellules souches cancéreuses par intelligence artificielle. (Development of artificial intelligence-based high-troughput platform for cancer stem cell phenotyping) PhD Theses 2022 (1); by Alexis Chambost
2022	Segmentation à base d'atlas d'images médicales utilisant l'apprentissage en ligne. (Atlas based segmentation of medical images using online machine learning) PhD Theses 2022 (1); by Asma Dali
2022	Generative adversarial networks in digital histopathology : stain transfer and deep learning model invariance to stain variation. (Réseaux génératifs adversaires en histopathologie numérique : transfert de coloration et invariance des modèles d'apprentissage profond aux variations de colorations) PhD Theses 2022 (1); by Jelica Vasiljevic
2022	Optimized deep learning-based multimodal method for irregular medical timestamped data. (Méthode multimodale optimisée basée sur l'apprentissage profond pour les données médicales temporelles irrégulières) PhD Theses 2022 (1); by Sara Rabhi
2022	Multidimensional Complex Stationary Centered Gaussian Autoregressive Time Series Machine Learning in Poincaré and Siegel Disks: Application for Audio and Radar Clutter Classification. (Apprentissage dans les disques de Poincaré et de Siegel de séries temporelles multidimensionnelles complexes suivant un modèle autorégressif gaussien stationnaire centré : application à la classification de données audio et de fouillis radar) PhD Theses 2022 (1); by Yann Cabanes
2022	Deep Learning architectures for onboard satellite image analysis. (Architectures Deep Learning pour l'analyse d'images satellite embarquée) PhD Theses 2022 (1); by Gaétan Bahl
2022	MicroAI: embedded artificial intelligence for human activity recognition on smart glasses. (MicroIA: intelligence artificielle embarquée pour la reconnaissance d'activités physiques sur lunettes intelligentes) PhD Theses 2022 (1); by Pierre-Emmanuel Novac
2022	Diagnostic adaptatif à l'environnement de navigation : apport de l'apprentissage profond pour une localisation sûre et précise. (Adaptive diagnosis to the navigation environment : Contribution of deep learning for safe and accurate localization) PhD Theses 2022 (1); by Nesrine Harbaoui
2022	Digital twin for decision making to manage port operation with uncertainties : a knowledge approach based on machine learning. (Un jumeau numérique pour l'aide à la décision dans un contexte de gestion portuaire avec incertitudes : Une approche à base de connaissances issue de l'apprentissage automatique) PhD Theses 2022 (1); by Siraprapa Wattanakul
2022	Recherche et développement: Interprétation assistée par intelligence artificielle des pathologies rachidiennes. (Research and development: Artificial intelligence, spinal pathologies assisted interpretation) PhD Theses 2022 (1); by Sylvain Guinebert
2022	Safety of automotive systems using Machine Learning. (Sécurité fonctionnelle des modèles d'apprentissage machine dans le contexte automobile) PhD Theses 2022 (1); by Victor Besnier
2022	Prediction of interventions and optimization of resources based on machine learning and operations research for fire departments. (Prédiction des interventions et optimisation des ressources basées sur l'apprentissage automatique et la recherche opérationnelle pour les services d'incendie et secours) PhD Theses 2022 (1); by Selene Leya Cerna Ñahuis
2022	Deep learning for semantic segmentation in multimodal medical images : application on brain tumor segmentation from multimodal magnetic resonance imaging. (Apprentissage profond pour la segmentation sémantique d'images médicales multimodales : applications à la segmentation des tumeurs cérébrales à partir d'images IRM multimodales) PhD Theses 2022 (1); by Tongxue Zhou
2022	Interpretable Machine Learning Models via Maximum Boolean Satisfiability. (Interpretable Machine Learning Models via Maximum Boolean Satisfiability) PhD Theses 2022 (1); by Hao Hu
2022	Understanding Human-AI Trust in the Context of Decision Making through the Lenses of Academia and Industry : Definitions, Factors, and Evaluation. (Comprendre la confiance entre l'humain et l'intelligence artificielle dans le contexte de la prise de décision par le prisme du monde académique et de l'industrie : définitions, facteurs et évaluation) PhD Theses 2022 (1); by Oleksandra Vereschak
2022	Sécurité des implémentations cryptographiques face aux attaques par canaux auxiliaires basées sur des techniques d'apprentissage profond. (Security of cryptographic implementations against side-channel attacks based on deep learning techniques) PhD Theses 2022 (1); by Damien Robissout
2022	Data-Driven Malware Classification Assisted by Machine Learning Methods. (Classification de Logiciels Malveillants Dirigée par les Données et Assistée par des Méthodes d'Apprentissage Automatique) PhD Theses 2022 (1); by Cassius Puodzius
2022	Apprentissage de stratégies coopératives dans un contexte de jeu multi-opérateurs de télécommunications : l'IA coopérative au service des dilemmes sociaux. (Learning cooperative strategies in a game of multiple Telecom providers : cooperative artificial intelligence at the service of social dilemmas) PhD Theses 2022 (1); by Tangui Le Gléau
2022	Confiance dans les systèmes utilisant l'intelligence artificielle pour le contrôle et commandement des opérations aériennes C2. (Trust towards artificial intelligence systems in C2Air) PhD Theses 2022 (1); by Bryan Fruchart
2022	Solution of large linear systems with a massive number of right-hand sides and machine learning. (Résolution de systèmes linéaires de grande taille avec un nombre massif de second-membres et apprentissage) PhD Theses 2022 (1); by Yan-Fei Xiang
2022	Deep learning for tomographic reconstruction : Study and application to computed tomography and positron emission imaging. (Apprentissage profond pour la reconstruction tomographique : Etude et application à la tomodensitométrie et à l'imagerie par émission de positrons) PhD Theses 2022 (1); by Théo Leuliet
2022	Improving Radiographic Diagnosis with Deep Learning in Clinical Settings. (Amélioration du diagnostic radiographique en milieu clinique à l'aide de l'apprentissage profond) PhD Theses 2022 (1); by Aloïs Pourchot
2022	Investigation of Deep Learning and Blockchain Applicability for Software-Defined Internet of Things. (Enquête sur l'applicabilité de l'apprentissage en profondeur et de la chaîne de blocs pour l'Internet des objets défini par logiciel) PhD Theses 2022 (1); by Bassem Sellami
2022	Teaching analytics: support for the evaluation and assistance in the design of teaching through artificial intelligence. (Teaching analytics : support à l'évaluation et l'assistance à la conception pédagogique par l'intelligence artificielle) PhD Theses 2022 (1); by Ibtissem Bennacer
2022	Connecting graphs to machine learning. (Liaison entre apprentissage automatique et graphes) PhD Theses 2022 (1); by Gaëlle Candel
2022	Machine learning methods for automatic crop classification and prediction of yields on a large scale. (Méthodes d'apprentissage statistique pour la classification automatique des cultures et la prévision de rendements à grande échelle) PhD Theses 2022 (1); by Walid Hammache
2022	Detection of Nested Objects in Dense Scenes using Deep Learning - Application to Bee and Varroa Detection. (Détection d'objets imbriqués dans des scènes denses par Apprentissage Profond - Application à la détection d'abeilles et de varroas) PhD Theses 2022 (1); by Yassine Kriouile
2022	Uterine synchronization analysis during pregnancy and labor using graph theory, classification based on machine learning. (Caractérisation des réseaux de connectivité en utilisant les graphes : application à la détection de l'accouchement prématuré) PhD Theses 2022 (1); by Kamil Bader El Dine
2022	Reconstructing our past ˸ deep learning for population genetics. (Reconstruire notre passé ˸ apprentissage statistique profond pour la génétique des populations) PhD Theses 2022 (1); by Théophile Sanchez
2022	Production of categorical data verifying differential privacy: conception and applications to machine learning. (Production de données catégorielles respectant la confidentialité différentielle: conception et applications au apprentissage automatique) PhD Theses 2022 (1); by Héber Hwang Arcolezi
2022	Global inference of the structural connectivity of white matter fiber bundles using deep learning approaches and microstructural prior knowledge. (Inférence globale de la connectivité structurelle des faisceaux de substance blanche en utilisant des approches d'apprentissage profond et d'a priori microstructurels) PhD Theses 2022 (1); by Alexander Popov
2022	Foundations of networks towards AI. (Fondements réseaux et l'IA) PhD Theses 2022 (1); by Hicham Lesfari
2022	Deep learning-based Point Cloud Compression. (Compression de nuages de points par apprentissage profond) PhD Theses 2022 (1); by Maurice Quach
2022	AI-based analysis of abdominal ultrasound images to support medical diagnosis. (Analyse d'images d'échographie abdominale basée sur l'IA pour aider au diagnostic médical) PhD Theses 2022 (1); by Hind Dadoun
2022	Deep learning motion estimation in ultrasound imaging : Application to myocardial deformation quantification. (Apprentissage profond pour l'estimation de mouvement en imagerie ultrasonore : Application à la quantification des déformations du myocarde) PhD Theses 2022 (1); by Ewan Evain
2022	Deep learning applied to multi-component imagery for variety testing problems. (Deep learning appliqué à l'imagerie multicomposante pour des problématiques de test de variétés) PhD Theses 2022 (1); by Hadhami Garbouge
2022	Exploitation des algorithmes d'apprentissage profond et des séries temporelles d'images satellitaires pour la prédiction de la déforestation. (Exploiting deep learning algorithms and satellite image time series for deforestation prediction) PhD Theses 2022 (1); by Waytehad Moskolaï
2022	Hybridizing metaheuristics with machine learning for combinatorial optimization : a taxonomy and learning to select operators. (Hybridation des métaheuristiques avec l'apprentissage automatique pour l'optimisation combinatoire : une taxonomie et apprendre à sélectionner des opérateurs) PhD Theses 2022 (1); by Maryam Karimi Mamaghan
2022	Embedded anomaly detection - Machine learning based radiation hardening of space electronics. (Détection d'anomalies embarquées - Apprentissage automatique pour le durcissement de l'électronique spatiale) PhD Theses 2022 (1); by Adrien Dorise
2022	Conception et développement des méthodes de prédiction de la durée de séjour hospitalier centrées sur des techniques de "machine learning". (Lenght of stay prediction in hospitals using machine learning) PhD Theses 2022 (1); by Rachda Naila Mekhaldi
2022	Deep Learning based 3D reconstruction : supervision and representation. (Reconstruction 3D par Deep Learning : supervision et représentation) PhD Theses 2022 (1); by François Darmon
2022	Utilisation de l'apprentissage profond pour la segmentation et la caractérisation des images TEP/TDM FDG dans le cadre du cancer du sein métastatique. (Deep learning methods to segment and characterize PET/CT images in the context of metastatic breast cancer) PhD Theses 2022 (1); by Noémie Moreau
2022	Drone recognition with Deep Learning. (Sélection et reconnaissance de drones par Deep Learning) PhD Theses 2022 (1); by Julien Gérard
2022	Apprentissage profond multimodal appliqué à l'usinage. (Multimodal deep learning applied to machining) PhD Theses 2022 (1); by Cheick Abdoul Kadir A. Kounta
2022	On Inductive Biases for Machine Learning in Data Constrained Settings. (Biais inductifs pour l'apprentissage automatique à partir de données limitées) PhD Theses 2022 (1); by Grégoire Mialon
2022	Apprentissage automatique pour la résolution de problèmes discrets. (Solving discrete optimization problems with deep learning) PhD Theses 2022 (1); by Boris Doux
2022	Active and Incremental Deep learning with class imbalanced data. (Apprentissage profond actif et incrémental avec des données de classes déséquilibrées) PhD Theses 2022 (1); by Umang Aggarwal
2022	Expressivity transfer in deep learning based text-to-speech synthesis. (Synthèse vocale expressive basée sur un apprentissage profond) PhD Theses 2022 (1); by Ajinkya Kulkarni
2022	Détection et classification des signaux sismo-volcaniques de la Soufrière de Guadeloupe par apprentissage supervisé. (Detection and classification of seismo-volcanic signals at La Soufrière volcano by machine learning) PhD Theses 2022 (1); by Alexis Falcin
2022	Contribution à la mise en place d'un système d'identification et d'inspection de pièces moteurs à base de Réseaux de Neurones Convolutifs. (Setting up an Engine parts recognition and control system based on Convolutional Neural Network and Deep Learning) PhD Theses 2022 (1); by Antoine Leger
2022	A toolbox for idea generation and evaluation: Machine learning, data-driven, and contest-driven approaches to support idea generation PhD Theses 2022 (1); by Workneh Y. Ayele
2022	Incremental Clustering of Source Code: a Machine Learning Approach PhD Theses 2022 (1); by Tobias Olsson
2022	Interactive Online Machine Learning PhD Theses 2022 (1); by Agnes Tegen
2022	Exploring Game Design through Human-AI Collaboration PhD Theses 2022 (1); by Alberto Alvarez
2022	Efficient and Trustworthy Artificial Intelligence for Critical Robotic Systems PhD Theses 2022 (1); by Christopher Iliffe Sprague
2022	Dynamic allocation of resources using machine learning and quantile regression by harnessing the power of software defined networks PhD Theses 2022 (1); by Ahmed Alutaibi
2022	Machine Learning Methods for Acceleration of Rare Genetic Disease Diagnosis PhD Theses 2022 (1); by Aryan Arbabi
2022	Interpretable Machine Learning: Explaining Models, Datasets and Expert Behaviors PhD Theses 2022 (1); by Chun-Hao Chang
2022	Estimating the Functional Impact of Single Amino Acid Changes Using Machine Learning PhD Theses 2022 (1); by Yingzhou Wu
2022	Function-Space Bayesian Learning: from Gaussian Processes to Bayesian Deep Learning PhD Theses 2022 (1); by Shengyang Sun
2022	Open-world Machine Learning with Limited Labeled Data PhD Theses 2022 (1); by Mengye Ren
2022	Optimization and Loss Landscape Geometry of Deep Learning PhD Theses 2022 (1); by James Lucas
2022	Training Efficiency and Robustness in Deep Learning PhD Theses 2022 (1); by Fartash Faghri
2022	Building AI Enabled Note-taking Interfaces for Patient Encounters PhD Theses 2022 (1); by Jixuan Wang
2022	Methods and Applications of Deep Learning in Sequential Medical Data PhD Theses 2022 (1); by Shun Liao
2022	Android malware detection using machine learning to mitigate adversarial evasion attacks PhD Theses 2022 (1); by Husnain Rafiq
2022	Physics-informed machine learning: from concepts to real-world applications PhD Theses 2022 (1); by Ben Moseley
2022	Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour PhD Theses 2022 (1); by Mani Kumar Tellamekala
2022	Extensible and explainable lifelong machine learning architecture for double-track fine-grained sentiment analysis PhD Theses 2022 (1); by Xianbin Hong
2022	A machine learning approach to solve the complete cold start problem in recommendation systems: building the P2P energy trading recommendation system with theory of consumption values PhD Theses 2022 (1); by Shan Shan
2022	A machine learning architecture to detect Alzheimer's disease progression based on the evaluation of cognitive and functional attributes of neuropsychological assessments PhD Theses 2022 (1); by Fadi A. Thabtah
2022	Temporal image forensics for picture dating based on machine learning PhD Theses 2022 (1); by Farah Ahmed
2022	Diagnostic and predictive modelling in osteoarthritis using statistical and machine learning tools PhD Theses 2022 (1); by Philippa Grace McCabe
2022	Machine learning applications for the topology prediction of transmembrane beta-barrel proteins PhD Theses 2022 (1); by Cedric Maxime Grimaldi
2022	Classification, object detection and tracking in high resolution radar imagery for autonomous driving using deep learning PhD Theses 2022 (1); by Ana Raluca Stroescu
2022	Deep learning-based RNA modification prediction method development PhD Theses 2022 (1); by Daiyun Huang
2022	Explainable artificial intelligence for functional brain development analysis: methods and applications PhD Theses 2022 (1); by Mehrin Kiani
2022	Application of machine learning and deep learning in drone imaging for desert ecology PhD Theses 2022 (1); by Thani Jintasuttisak
2022	Compression of models and data in deep learning PhD Theses 2022 (1); by Milad Alizadeh
2022	Leveraging evaluation time to produce simple machine learning models with genetic programming PhD Theses 2022 (1); by Aliyu Sani Sambo
2022	The application of machine learning methods to portfolio management PhD Theses 2022 (1); by Zhengyong Jiang
2022	AI for people with visual impairments: exploring designing for interdependence PhD Theses 2022 (1); by Beatrice Vincenzi
2022	On the application of artificial intelligence and human computation to the automation of agile software task effort estimation PhD Theses 2022 (1); by Mohammed Alhamed
2022	Fast detection of zero-day phishing websites using machine learning PhD Theses 2022 (1); by Thomas Nagunwa
2022	Graph-based machine learning and its application on multi-omics data analysis PhD Theses 2022 (1); by Han Zhang
2022	Machine learning model for education levelling in multicultural countries using UAE as a case study PhD Theses 2022 (1); by Shatha Ghareeb
2022	A statistical analysis of the stochastic dynamics in financial and geomorphological systems using Artificial Intelligence and Probability Theory PhD Theses 2022 (1); by Luke De-Clerk
2022	Using machine learning to disentangle heterogeneity within and between psychosis and depression: improving pathways for precision medicine in psychiatry PhD Theses 2022 (1); by Paris Alexandros Lalousis
2022	Reasoning about what has been learned: Neural-Symbolic integration for explainable artificial intelligence PhD Theses 2022 (1); by Benedikt Wagner
2022	Gauge theories, toric varieties and machine learning PhD Theses 2022 (1); by Jiakang Bao
2022	Spatiotemporal features and deep learning methods for video classification PhD Theses 2022 (1); by Rukiye Savran Kiziltepe
2022	Deep learning for the early detection of harmful algal blooms and improving water quality monitoring PhD Theses 2022 (1); by Onatkut Dagtekin
2022	Testing deep image classifiers using generative machine learning PhD Theses 2022 (1); by Isaac Dunn
2022	Deep learning based frameworks for patient selection PhD Theses 2022 (1); by Ruqayya Awan
2022	Model predictive controller tuning by machine learning and ordinal optimisation PhD Theses 2022 (1); by Robert Chin
2022	Improved non-intrusive load monitoring approaches using the multi-gate mixture of expert system and the transformer deep learning model PhD Theses 2022 (1); by Yi Jing
2022	On the study of deep learning active vision systems PhD Theses 2022 (1); by Piotr Ozimek
2022	Learning with fewer labels in deep learning for plant phenotyping PhD Theses 2022 (1); by Feng Chen
2022	Machine learning for signal detection and estimation in wireless communications PhD Theses 2022 (1); by Youjie Ye
2022	Machine learning assisted ultra reliable and low latency vehicular optical camera communications PhD Theses 2022 (1); by Amirul Islam
2022	On the role of explainability and uncertainty in ensuring safety of AI applications PhD Theses 2022 (1); by Rhiannon Falconmore
2022	Applying Code Analysis and Machine Learning Techniques to Improve Compatibility and Security of Programs PhD Theses 2022 (1); by Gábor Antal
2022	Efficient Gossip Algorithms for Machine Learning PhD Theses 2022 (1); by Gábor Danner
2022	Machine Learning based analysis of users' online behaviour PhD Theses 2022 (1); by Gábor Korösi
2022	Natural Language Processing and Artificial Intelligence Methods in Software Engineering PhD Theses 2022 (1); by László Tóth
2022	Deep Learning Applications in Computer Vision: Experimental and Comparative Study PhD Theses 2022 (1); by Ahmad Salem Ahmad Altarawneh
2022	Incorporating Dimension Reduction and Clustering into Data Processing Pipeline for Improving the Performance of Machine Learning Models PhD Theses 2022 (1); by Khalid M. Kahloot
2022	Post-processing of Ensemble Forecasts of Various Weather and Hydrological Quantities Using Statistical and Machine Learning Methods PhD Theses 2022 (1); by Mehrez El Ayari
2022	Cell identification and phenotyping using classical machine learning and deep learning PhD Theses 2022 (1); by Tamás Balassa
2022	Algorithms for Efficient and Robust Distributed Deep Learning PhD Theses 2022 (1); by Tao Lin
2022	Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering PhD Theses 2022 (1); by Edoardo Remelli
2022	Optimizing hyperparameters for machine learning algorithms in production = Optimierung von Hyperparametern für Algorithmen des maschinellen Lernens in der Produktion PhD Theses 2022 (1); by Jonathan Krauß
2022	Development and Application of Machine Learning Methods to Selected Problems of Theoretical Solid State Physics PhD Theses 2022 (1); by Benedikt Andreas Hoock
2022	Deep Learning-based Cell Detection in Microscopy Images PhD Theses 2022 (1); by Christian Marzahl
2022	Deep Learning for Aerial Scene Understanding in High Resolution Remote Sensing Imagery from the Lab to the Wild PhD Theses 2022 (1); by Yuansheng Hua
2022	Large-Scale Marine Image Annotation in the Age of the Web and Deep Learning PhD Theses 2022 (1); by Martin Zurowietz
2022	Improving Artificial Intelligence Performance through Architectural and Procedural A-Priori: A case-study of optimising neural architectures for automotive applications PhD Theses 2022 (1); by Ido Freeman
2022	Hierarchical Electrical Load Forecasting of Industrial Production Systems in the Manufacturing Industry based on Deep Learning PhD Theses 2022 (1); by Jessica Walther
2022	Deep Learning-based AR Glasses and Head Tracking for Automotive Augmented Reality PhD Theses 2022 (1); by Ahmet Firintepe
2022	Understanding Deep Learning Optimization via Benchmarking and Debugging PhD Theses 2022 (1); by Frank Schneider
2022	Towards Reliable Machine Learning in Evolving Data Streams PhD Theses 2022 (1); by Johannes Haug
2022	Machine Learning-based Orchestration Solutions for Future Slicing-Enabled Mobile Networks PhD Theses 2022 (1); by Lanfranco Zanzi
2022	Essays on using machine learning for causal inference PhD Theses 2022 (1); by Daniel Jacob
2022	Using machine learning to predict the diagnosis, management and severity of pediatric appendicitis PhD Theses 2022 (1); by Patricia Reis Wolfertstetter
2022	Deep Learning for Image Enhancement PhD Theses 2022 (1); by Purbaditya Bhattacharya
2022	Towards explainable artificial intelligence: interpreting neural network classifiers with probabilistic prime implicants PhD Theses 2022 (1); by Stephan Wäldchen
2022	Machine learning for managing structured and semi-structured data PhD Theses 2022 (1); by Max Berrendorf
2022	Machine Learning for Resource-Constrained Computing Systems PhD Theses 2022 (1); by Martin Rapp
2022	Quantitative characterization of complex particle systems via machine learning and stochastic modeling PhD Theses 2022 (1); by Orkun Furat
2022	Comparison of model-based methods with machine learning strategies for defect reconstruction, classification, and regression in the field of measurement technology PhD Theses 2022 (1); by Abdullah Karatas
2022	Mortality Modeling: Machine Learning and Mortality Shocks PhD Theses 2022 (1); by Simon Schnürch
2022	Future prediction with deep learning PhD Theses 2022 (1); by Osama Makansi
2022	Large-scale analysis of textual and multivariate data combining machine learning and visualization PhD Theses 2022 (1); by Johannes Knittel
2022	Materialization and reuse optimizations for machine learning workloads PhD Theses 2022 (1); by Behrouz Derakhshan
2022	Artificial intelligence in online scheduling of dynamically interconnected assembly systems PhD Theses 2022 (1); by Amon Mirko Robin Göppert
2022	Deep learning of the dynamics of complex systems with its applications to biochemical molecules PhD Theses 2022 (1); by Andreas Mardt
2022	Deep Learning for Volume Visualization PhD Theses 2022 (1); by Sebastian Weiß
2022	Automated machine learning for multi-label classification PhD Theses 2022 (1); by Marcel Wever
2022	Democratizing machine learning: contributions in AutoML and fairness PhD Theses 2022 (1); by Florian Pfisterer
2022	Reducing artefacts in MRI using deep learning: enhancing automatic image processing pipelines PhD Theses 2022 (1); by Soumick Chatterjee
2022	Smart PAT concepts for the downstream process of biologics - Application of multimodal soft sensors, machine learning, and data fusion PhD Theses 2022 (1); by Laura Maria Rolinger
2022	SPAD-Based LiDAR Data Pre-Processing on Embedded Systems Using Machine Learning PhD Theses 2022 (1); by Gongbo Chen
2022	Integrity and Correctness of Machine Learning Data PhD Theses 2022 (1); by Nicolas Müller
2022	Adversarial inference and manipulation of machine learning models PhD Theses 2022 (1); by Ahmed Salem
2022	Handling data problems in machine learning applications in supply chain management: a multiple-case study on the analysis of data augmentation approaches PhD Theses 2022 (1); by Christian Menden
2022	Automatic deep learning segmentation of cortical and white matter lesions of multiple sclerosis patients in 7 Tesla magnetic resonance imaging data PhD Theses 2022 (1); by Frederik Luca Sandig
2022	Deep Learning based Dense Matching Optimization in Remote Sensing PhD Theses 2022 (1); by Yuanxin Xia
2022	Machine Learning-Aided Disaster Response - Using Remotely Sensed Imagery and Social Multimedia PhD Theses 2022 (1); by Benjamin Bischke
2022	Essays on networks, deep learning, and leadership PhD Theses 2022 (1); by Ingo Marquart
2022	Machine Learning with Gaussian Processes: Automated Model Search and Data Analysis PhD Theses 2022 (1); by Fabian Berns
2022	Spectral super-resolution: deep learning and the physical perimeter of metamerism PhD Theses 2022 (1); by Tarek Luttermann
2022	Adaptive search techniques in AI planning and heuristic search PhD Theses 2022 (1); by Maximilian Fickert
2022	Accelerating the discovery of crystalline materials with desired intrinsic properties by machine learning PhD Theses 2022 (1); by Teng Long
2022	Conflict-driven learning in AI planning state-space search PhD Theses 2022 (1); by Marcel Steinmetz
2022	Enabling Smart Parking Services with Machine Learning PhD Theses 2022 (1); by Jonas Sonntag
2022	Reducing the annotation burden: deep learning for optical character recognition using less manual annotations PhD Theses 2022 (1); by Christian Bartz
2022	Designing flow-adaptive systems for knowledge work using physiological data and machine learning PhD Theses 2022 (1); by Nico Loewe
2022	Deep learning and hybrid modeling of global vegetation and hydrology PhD Theses 2022 (1); by Basil Kraft
2022	Robust recognition and exploratory analysis of crystal structures using machine learning PhD Theses 2022 (1); by Andreas Leitherer
2022	Secure and Private Machine Learning PhD Theses 2022 (1); by Franziska Boenisch
2022	Generative adversarial networks and deep learning for medical image analysis PhD Theses 2022 (1); by Karim Armanious
2022	Applied Deep Learning: from Data to Deployment PhD Theses 2022 (1); by Matthias Griebel
2022	Robust and efficient automated machine learning: systems, infrastructure and advances in hyperparameter optimization PhD Theses 2022 (1); by Matthias Feurer
2022	Machine learning driven argument mining PhD Theses 2022 (1); by Michael Fromm
2022	Explainability in Deep Learning by Means of Communication PhD Theses 2022 (1); by Stephan Alaniz
2022	Continual Learning with Deep Learning Methods in an Application-Oriented Context PhD Theses 2022 (1); by Benedikt Pfülb
2022	Reinforcing machine learning best pratices in medicine and the life sciences PhD Theses 2022 (1); by Ramona Leenings
2022	Statistical Machine Learning for Modeling and Control of Stochastic Structured Systems PhD Theses 2022 (1); by Hany Abdulsamad
2022	Enabling Data Analytics and Machine Learning in Model-Driven Software Engineering of Smart IoT Services PhD Theses 2022 (1); by Armin Moin
2022	Machine Learning for Industrial Process Optimization PhD Theses 2022 (1); by Stefano De Blasi
2022	Towards a Complete Privacy Preserving Machine Learning Pipeline PhD Theses 2022 (1); by Ali Burak Ünal
2022	Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition PhD Theses 2022 (1); by Jan Philip Göpfert
2022	Towards more reliable machine learning: conceptual insights and practical approaches for unsupervised manifold learning and supervised benchmark studies PhD Theses 2022 (1); by Moritz Herrmann
2022	Machine learning for acquiring knowledge in astro-particle physics PhD Theses 2022 (1); by Mirko Bunse
2022	Machine learning and text mining in financial institutions and markets PhD Theses 2022 (1); by Jörn Debener
2022	Deep Learning Methods for Video Smoke Detection PhD Theses 2022 (1); by Andreas Wellhausen
2022	Artificial Intelligence for Human Decision-Makers: Systematization, Perception, and Adoption of Intelligent Decision Support Systems in Industry 4.0 PhD Theses 2022 (1); by Jonas Wanner
2022	Interpreting black-box machine learning models with decision rules and knowledge graph reasoning PhD Theses 2022 (1); by Md. Rezaul Karim
2022	Monitoring and optimizing the surface quality of friction stir welds using machine learning PhD Theses 2022 (1); by Roman Hartl
2022	The reliability of deep learning for signal and image processing: Interpretability, robustness, and accuracy PhD Theses 2022 (1); by Jan MacDonald
2022	Edge Formation and its Influence in Machine Learning PhD Theses 2022 (1); by Lisette Espin Noboa
2022	Network and service coordination: conventional and machine learning approaches PhD Theses 2022 (1); by Stefan Schneider
2022	Data-driven visual quality estimation using machine learning PhD Theses 2022 (1); by Steve Göring
2022	Organic electrochemical networks for biocompatible and implantable machine learning: Organic bioelectronic beyond sensing PhD Theses 2022 (1); by Matteo Cucchi
2022	A hierarchical deep learning framework towards the verification of geospatial databases PhD Theses 2022 (1); by Chun Yang
2022	Edge Machine Learning: Fast Model Averaging for Decentralized Model Training PhD Theses 2022 (1); by Mohsan Jameel
2022	AI-Based Cycling Analysis: Bike Type Detection and Predictive Maintenance PhD Theses 2022 (1); by Viktor Matkovic
2022	Deep Learning Methods for Semantic Parsing and Question Answering over Knowledge Graphs PhD Theses 2022 (1); by Denis Lukovnikov
2022	Machine learning for classical planning: neural network heuristics, online portfolios, and state space topologies PhD Theses 2022 (1); by Patrick Ferber
2022	Machine Learning in Industrial Applications: Insights Gained from Selected Studies PhD Theses 2022 (1); by Markus Schmitz
2022	Prozessführungskomponenten für die Integration von Machine Learning Modellen in die operative Prozessführung PhD Theses 2022 (1); by Julian Grothoff
2022	Machine learning based speech quality prediction PhD Theses 2022 (1); by Gabriel Mittag
2022	Model-agnostic interpretable machine learning PhD Theses 2022 (1); by Christoph Molnar
2022	Explainable structured machine learning: insights into similarity, graph and transformer models PhD Theses 2022 (1); by Oliver Eberle
2022	Natural language processing and machine learning applications in the social sciences / submitted by Christoph Johannes Weißer, MSc (Oxon) PhD Theses 2022 (1); by Christoph Weisser
2022	Deep learning based prediction and visual analytics for temporal environmental data PhD Theses 2022 (1); by Shubhi Harbola
2022	Machine and deep learning in present actuarial challenges PhD Theses 2022 (1); by Mark Kiermayer
2022	Explaining the Outcomes of Deep Learning Models PhD Theses 2022 (1); by Caoyuan Li, Xuelin Situ
2022	Development of A Deep Learning Based Machine Vision System for Occluded 2D Fruit Trees PhD Theses 2022 (1); by Yue Xi, Zijue Chen
2022	Statistical and machine learning models for the evaluation of geophysical and geomechanical data PhD Theses 2022 (1); by Anil Kumar
2022	Deep learning-based quantitative susceptibility mapping: methods development and applications PhD Theses 2022 (1); by Yang Gao
2022	Person ReID in Different Environment Settings Using Deep Learning Methods PhD Theses 2022 (1); by Yangyang Shu, Ziyue Zhang
2022	Local Model-Agnostic Explanations for Machine Learning and Time-series Forecasting Models PhD Theses 2022 (1); by Dilini Ranasinghage
2022	Improving deep learning-based fast MRI with pre-acquired image guidance PhD Theses 2022 (1); by Xinwen Liu
2022	Multidisciplinary Framework to Assess the Impact of Video-Based Learning with Gamification through Schema and Emotion Analysis: An Artificial Intelligence Study PhD Theses 2022 (1); by Junius Anjana Amaranath Kande Vidanaralalage
2022	Extração de Mapas de Profundidades de Dense Light Fields usando Deep Learning PhD Theses 2022 (1); by Anderson Priebe Ferrugem
2022	On deep learning features for noisy time series classification PhD Theses 2022 (1); by João Paulo Canário
2022	Development of a machine learning based methodology for bridge health monitoring PhD Theses 2022 (1); by Rick M. Delgadillo
2022	Análise da influência de compressão, escalonamento não uniforme e aumento de dados na classificação automática de micro-organismos em imagens biomédicas utilizando deep learning PhD Theses 2022 (1); by Dimitria Theophanis Boukouvalas
2022	Diseño de un clasificador para el mantenimiento predictivo de una red de distribución eléctrica utilizando Deep Learning PhD Theses 2022 (1); by Daniel Alexis Perez Aguilar
2022	Modelamiento de la satisfacción laboral de docentes de educación básica mediante técnicas Machine Learning PhD Theses 2022 (1); by Luis Alberto Holgado-Apaza
2022	Multi-omic data integration using joint non-negative matrix and machine learning methods for clinical endpoints prediction and causal parameter estimation in cancer PhD Theses 2022 (1); by Diego Armando Salazar Barreto
2022	NAZCA: a machine learning based framework for performance prediction and configuration recommendation of multiscale numerical simulations PhD Theses 2022 (1); by Juan H. L. Fabian
2022	Symbiosis between quantum physics and machine learning: Applications in data science, many-body physics and quantum computation PhD Theses 2022 (1); by Vladimir Vargas-Calderón
2022	Meta-analysis of clustering problem instances and techniques in machine learning PhD Theses 2022 (1); by Luiz Henrique dos Santos Fernandes
2022	Machine Learning for Grid-Based Sensor Fusion in Automotive Applications (Maschinelles Lernen für die grid-basierte Sensordatenfusion in automobilen Anwendungen) PhD Theses 2022 (1); by Gábor Balázs
2022	Deep Learning for Medical Image Analysis (Deep Learning für die medizinische Bildanalyse) PhD Theses 2022 (1); by Xiaobin Hu
2022	From Numerical Optimization to Deep Learning and Back (Von Numerischer Optimierung zu Deep Learning und zurück) PhD Theses 2022 (1); by Thomas Frerix
2022	Understanding the drivers of academic achievement: Evidence for Portugal's high school system, a machine learning approach PhD Theses 2022 (1); by Ricardo Mendes
2022	Oman higher education institutions dealing with artificial intelligence PhD Theses 2022 (1); by Imad Adel Husni Ayed
2022	A framework for predicting drug sensitivity and synergy in cancer cells using deep learning PhD Theses 2022 (1); by Delora Baptista
2022	Machine Learning Models for Predicting Disease-related Biological Interactions PhD Theses 2022 (1); by Ivan Carrera Izurieta
2022	A new generation of user-friendly and machine learning-accelerated methods for protein pKa calculations PhD Theses 2022 (1); by Pedro B. P. S. Reis
2022	Authentication of Amadeo de Souza-Cardoso Paintings and Drawings With Deep Learning PhD Theses 2022 (1); by Ailin Chen
2022	Machine learning algorithms and organs-on-chips as new technologies for the modeling of human cardiac toxicity and disease PhD Theses 2022 (1); by José Diogo Teles da Silva Pereira
2022	Computational Geometry for Machine Learning and Computer Vision: Practical Provable Approximations PhD Theses 2022 (1); by Ibrahim Jubran
2022	Towards Understanding Optimization and Generalization in Deep Learning PhD Theses 2022 (1); by Alon Brutzkus
2022	Acceleration Methods for Graph-Based Machine Learning PhD Theses 2022 (1); by Eliav Buchnik
2022	Cognitive Models in Deep Learning PhD Theses 2022 (1); by Idan Schwartz
2022	Topics in Machine Learning, Reinforcement Learning and Societal Challenges PhD Theses 2022 (1); by Lee Cohen
2022	AI-empowered promotional video generation PhD Theses 2022 (1); by Chang Liu
2022	Evaluating & enhancing deep learning systems via out-of-distribution detection PhD Theses 2022 (1); by David Berend
2022	Solving large-scale planning and deep learning problems PhD Theses 2022 (1); by Aye Phyu Phyu Aung
2022	Lightweight privacy preservation techniques for deep learning and inference in Internet of Things PhD Theses 2022 (1); by Linshan Jiang
2022	Leveraging deep learning techniques to secure software development PhD Theses 2022 (1); by Jing Kai Siow
2022	Deep learning acceleration: from quantization to in-memory computing PhD Theses 2022 (1); by Shien Zhu
2022	Using deep learning for quality control in cyber-manufacturing PhD Theses 2022 (1); by Wenting Dai
2022	Learning program semantics via exploring program structures with deep learning PhD Theses 2022 (1); by Shangqing Liu
2022	Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach PhD Theses 2022 (1); by Mohamed Ragab
2022	Machine learning techniques for advanced cyber attack detection PhD Theses 2022 (1); by Wenzhuo Yang
2022	Deep learning for combinatorial optimization problems PhD Theses 2022 (1); by Liang Xin
2022	Optical neural networks for deep learning applications PhD Theses 2022 (1); by George Mourgias-Alexandris
2022	Machine learning approaches for time series problems PhD Theses 2022 (1); by Christoforos Nalmpantis
2022	Decision and prediction support in cyberphysical systems based on computational and machine learning tools PhD Theses 2022 (1); by Panagiotis Christias
2022	Big earth data and machine learning for sustainable and resilient agriculture PhD Theses 2022 (1); by Vasileios Sitokonstantinou
2022	Text analysis and machine learning classification of defendants' testimonies in greek courtroom in order to create their linguistic profile PhD Theses 2022 (1); by Anastasia Katranidou
2022	Machine learning algorithms for large scale transcriptomic and genetic data PhD Theses 2022 (1); by Dimitris Grigoriadis
2022	A study on machine learning techniques for technical debt estimation and forecasting PhD Theses 2022 (1); by Dimitrios Tsoukalas
2022	Data mining for enhanced marketing decision making: applications in consumers' behavior data in online and offline environment using a machine learning model PhD Theses 2022 (1); by Dimitris C. Gkikas
2022	A holistic approach to learning analytics and educational data mining in distance learning through data and machine learning pipelines PhD Theses 2022 (1); by Rodanthi Tsoni
2022	Investigation and development of machine learning algorithms for analysis of large volumes of data PhD Theses 2022 (1); by Athanasios Anagnostis
2022	Machine learning and natural language processing techniques for question answering PhD Theses 2022 (1); by Dimitrios Dimitriadis
2022	Efficient machine learning algorithms for pattern identification and statistical properties of faults' asperities PhD Theses 2022 (1); by Konstantinos Arvanitakis
2022	The First Principles of Deep Learning and Compression PhD Theses 2022 (1); by Max Ehrlich
2022	Enhancing inverse Modeling in hydrogeology with Modern Machine Learning Algorithms PhD Theses 2022 (1); by Ming Liu
2022	AI-Enabled Contextual Representations for Image-based Integration in Health and Safety PhD Theses 2022 (1); by Garrett Winkelmaier
2022	Minimax Fairness in Machine Learning PhD Theses 2022 (1); by Natalia Martínez
2022	Robust Efficient Edge AI: New Principles and Frameworks for Empowering Artificial Intelligence on Edge Devices PhD Theses 2022 (1); by Rahul Duggal
2022	Human-AI Sensemaking with Semantic Interaction and Deep Learning PhD Theses 2022 (1); by Yali Bian
2022	Deep Learning and Feature Engineering for Human Activity Recognition: Exploiting Novel Rich Learning Representations and Sub-transfer Learning to Boost Practical Performance PhD Theses 2022 (1); by Ria Kanjilal
2022	Machine Learning for Software Fault Detection: Issues and Possible Solutions PhD Theses 2022 (1); by Francesco Lomio
2022	Reliable Low Latency Machine Learning for Resource Management in Wireless Networks PhD Theses 2022 (1); by Ali Taleb Zadeh Kasgari
2022	Natural Language Processing for Complex Tasks: Challenges and Solutions for Small Datasets in the Era of Deep Learning PhD Theses 2022 (1); by Yang Gu
2022	Introducing Frameworks to Analyze Human Mobility Behavior with Advanced Computational Algorithms and Machine Learning Methods Using Mobile Device Location Data PhD Theses 2022 (1); by Aref Darzi
2022	Optimized Training Pipeline for Deep Learning Applications in Medical Image Processing PhD Theses 2022 (1); by Alena-Kathrin Golla
2022	Drug Repositioning through the Development of Diverse Computational Methods using Machine Learning, Deep Learning, and Graph Mining PhD Theses 2022 (1); by Maha A. Thafar
2022	Digital Forensics AI: on Practicality, Optimality, and Interpretability of Digital Evidence Mining Techniques PhD Theses 2022 (1); by Abiodun Abdullahi Solanke
2022	Implizites tutorielles Wissen in der KI-gestützten automatisierten Patientenedukation am Beispiel pflegender Angehöriger (Tacit tutorial knowledge in AI-assisted automated patient education on the example of family caregivers) PhD Theses 2022 (1); by Dominik Wolff
2022	Fault Modeling, Design-for-Test, and Fault Tolerance for Machine Learning Hardware PhD Theses 2022 (1); by Arjun Chaudhuri
2022	Application of Machine Learning in Methane Emissions Modelling PhD Theses 2022 (1); by Ran Luo
2022	Machine Learning Models of B-cell and T-cell Epitopes Using Sequence and Structure Information PhD Theses 2022 (1); by Kiran Sewsankar
2022	Differential Equations for Machine Learning PhD Theses 2022 (1); by Çagatay Yildiz
2022	Using Phoneme Groups to Train Deep Learning Models to Remove Reverberation in Cochlear Implant Stimulus Patterns PhD Theses 2022 (1); by Kevin M. Chu
2022	Improving automotive radar spectra object classification using deep learning and multi-class uncertainty calibration PhD Theses 2022 (1); by Kanil Patel
2022	Advanced Machine Learning Methods for Oncological Image Analysis PhD Theses 2022 (1); by Mehdi Astaraki
2022	Machine learning the thermodynamic stability of crystal structures PhD Theses 2022 (1); by Jonathan Schmidt
2022	Machine learning for healthcare with a focus on the early diagnosis of epilepsy and brain tumor detection PhD Theses 2022 (1); by Diyuan Lu
2022	Faster Conditional Gradient Algorithms for Machine Learning PhD Theses 2022 (1); by Alejandro Carderera
2022	Efficient Machine Learning Techniques for Neural Decoding Systems PhD Theses 2022 (1); by Xiaomin Wu
2022	The Importance of Data in RF Machine Learning PhD Theses 2022 (1); by William H. Clark
2022	Synthetic Imagery Data Generation for Training and Testing Deep Learning Models of Object Recognition PhD Theses 2022 (1); by Handi Yu
2022	Scalable and Efficient Machine Learning as a Service PhD Theses 2022 (1); by Heyang Qin
2022	On Algorithmic Fairness and Stochastic Models for Combinatorial Optimization and Unsupervised Machine Learning PhD Theses 2022 (1); by Leonidas Tsepenekas
2022	Requirements Dependency Extraction: Advanced Machine Learning Approaches and their ROI Analysis PhD Theses 2022 (1); by Gouri Deshpande
2022	Scalable and Practical Automated Testing of Deep Learning Models and Systems PhD Theses 2022 (1); by Fitash Ul Haq
2022	AI-enabled Cybersecurity Framework for Industrial Control Systems PhD Theses 2022 (1); by Amir Namavar Jahromi
2022	Machine Learning for Wireless Communications: Hybrid Data-Driven and Model-Based Approaches PhD Theses 2022 (1); by Lissy Pellaco
2022	A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning PhD Theses 2022 (1); by Palak Dave
2022	Practices for Efficiently Training Deep Learning Models PhD Theses 2022 (1); by Samarth Shukla
2022	Improving Robustness of Deep Learning Models and Privacy-Preserving Image Denoising PhD Theses 2022 (1); by Hadi Zanddizari
2022	Machine Learning Applications in Structural Analysis and Design PhD Theses 2022 (1); by Junhyeon Seo
2022	Duality Between Deep Learning And Algorithm Design PhD Theses 2022 (1); by Xinshi Chen
2022	Intrusion Detection System based on time related features and Machine Learning PhD Theses 2022 (1); by Alessandro Fausto
2022	Predicting Humans' Identity and Mental Load from EEG: Performed by AI PhD Theses 2022 (1); by Nima Salimi
2022	Understanding, Fortifying and Democratizing AI Security PhD Theses 2022 (1); by Nilaksh Das
2022	Application of machine learning in beam optics measurements and corrections PhD Theses 2022 (1); by Elena Fol
2022	Deep learning-based discrete-time survival prediction on prostate cancer histopathology images PhD Theses 2022 (1); by Esther Dietrich
2022	Synthetic Aperture Radar Image Interpretation Based on Deep Learning PhD Theses 2022 (1); by Di Zhang
2022	Advanced signal processing and machine learning tools for non-invasive foetal electrocardiography and intracardiac electrophysiology PhD Theses 2022 (1); by Giulia Baldazzi
2022	Leveraging and Understanding Deep Learning Models from Brain Activity to Language Processing PhD Theses 2022 (1); by Damian Pascual
2022	Methodology and Analysis for Efficient Custom Architecture Design using Machine Learning PhD Theses 2022 (1); by Ananda Samajdar
2022	Advances in Causal Machine Learning for Health Management PhD Theses 2022 (1); by Milan Kuzmanovic
2022	Robust Deep Learning for Computer-Assisted Spinal Surgery PhD Theses 2022 (1); by Lisa Kausch
2022	Tensor Decompositions in Deep Learning PhD Theses 2022 (1); by Anton Obukhov
2022	Automated Detection of Complex Tactical Patterns in Football - Using Machine Learning Techniques to Identify Tactical Behavior PhD Theses 2022 (1); by Pascal Bauer
2022	Learning Self-Awareness Models for Physical Layer Security in Cognitive and AI-enabled Radios PhD Theses 2022 (1); by Ali Krayani
2022	Artificial intelligence-based methods for interaction force estimation and mediated navigation of a robot manipulator on a mobile base ; Metode umjetne inteligencije za procjenu sila interakcije i medijacijsku navigaciju robotskog manipulatora na mobilnoj platformi PhD Theses 2022 (1); by Stanko Kruzic
2022	On the Two-fold Role of Logic Constraints in Deep Learning PhD Theses 2022 (1); by Gabriele Ciravegna
2022	Metaheuristics and machine learning for joint stratification and sample allocation in survey design PhD Theses 2022 (1); by Mervyn O'Luing
2022	Towards Automated Machine Learning on Imperfect Data for Situational Awareness in Power System PhD Theses 2022 (1); by Yunchuan Liu
2022	Object-Subject Relationship Detection using Deep Learning and Decision Support Systems for Safety and Security Applications PhD Theses 2022 (1); by Thomas Truong
2022	Deep Learning in Biomedical Informatics and Modern Circuit Design PhD Theses 2022 (1); by Siawpeng Er
2022	Machine learning to the rescue: enabling novel proteomics workflows with data-driven bioinformatics methods PhD Theses 2022 (1); by Ralf Gabriels
2022	Failure Predictions and Anomaly Detections by Artificial Intelligence with Heterogeneous Measures PhD Theses 2022 (1); by Federico Gargiulo
2022	Data Systems for Managing and Debugging Machine Learning Workflows PhD Theses 2022 (1); by Bojan Karlas
2022	Machine Learning based Anomaly Detection for Cybersecurity Monitoring of Critical Infrastructures PhD Theses 2022 (1); by Giovanni Battista Gaggero
2022	Machine Learning Methodologies For Low-Level Hardware-Based Malware Detection PhD Theses 2022 (1); by Nikhil Chawla
2022	Mapping Vegetation Height - Probabilistic Deep Learning for Global Remote Sensing PhD Theses 2022 (1); by Nico Lang
2022	Synthetic data for visual machine learning: A data-centric approach PhD Theses 2022 (1); by Apostolia Tsirikoglou
2022	Human Computer Interaction for Complex Machine Learning PhD Theses 2022 (1); by Setor Zilevu
2022	Deep Learning and Advanced Statistical Methods for Domain Adaptation and Classification of Remote Sensing Images PhD Theses 2022 (1); by Luca Maggiolo
2022	Machine Learning on Manycore CPUs PhD Theses 2022 (1); by Eliza Wszola
2022	Feasibility of Remote Sensing Based Deep Learning in Crop Yield Prediction PhD Theses 2022 (1); by Petteri Ranta
2022	Event-Driven Operation of Distributed Systems with Artificial Intelligence Technologies and Behavior Modeling PhD Theses 2022 (1); by Maria Coelho
2022	Deep learning methods for analyzing vision-based emotion recognition from 3D/4D facial point clouds PhD Theses 2022 (1); by Muzammil Behzad
2022	Limitations of Fairness in Machine Learning PhD Theses 2022 (1); by Michael Lohaus
2022	Deep Learning in Automatic Optical Inspection - Selected Studies in the Context of an Automotive Supplier (Deep Learning in der Automatischen Optischen Inspektion - Ausgewählte Studien im Kontext eines Automobilzulieferers) PhD Theses 2022 (1); by Dilara Yesilbas
2022	Computer Assisted Image Labeling for Object Detection Using Deep Learning PhD Theses 2022 (1); by Bishwo Adhikari
2022	Vehicle State Perception: Novel State Estimation Schemes with a Combination of Physics-based Approaches and Machine Learning in Application to Horizontal Vehicle Dynamics PhD Theses 2022 (1); by Torben Gräber
2022	Deep learning for building and validating geometric and semantic maps PhD Theses 2022 (1); by John Lambert
2022	External Nonparametric Memory in Deep Learning PhD Theses 2022 (1); by Alexander Long
2022	Toward a General Novelty Detection Framework in Structural Health Monitoring; Challenges and Opportunities in Deep Learning PhD Theses 2022 (1); by Mohammad Hesam Soleimani-Babakamali
2022	WCET and Priority Assignment Analysis of Real-Time Systems using Search and Machine Learning PhD Theses 2022 (1); by Jaekwon Lee
2022	Uncertainty Mitigation in Image-based Machine Learning Models for Precision Medicine PhD Theses 2022 (1); by Lujia Wang
2022	Machine learning methods for structural elucidation in untargeted metabolomics PhD Theses 2022 (1); by Eric Bach
2022	Machine Learning Driven Emotional Musical Prosody for Human-Robot Interaction PhD Theses 2022 (1); by Richard Savery
2022	Data Privacy in the Modern Machine Learning Ecosystem PhD Theses 2022 (1); by Stacey Truex
2022	Machine Learning on Clinical Time Series: Classification and Representation Learning PhD Theses 2022 (1); by Michael Moor
2022	Expertise, playfulness, analogical reasoning: Three learning mechanisms to train Artificial Intelligence for design applications PhD Theses 2022 (1); by Gabriele Mirra
2022	Machine learning for patent intelligence: opportunities and challenges (Maschinelles Lernen für die Patent Intelligence: Möglichkeiten und Herausforderungen) PhD Theses 2022 (1); by Nils M. Denter
2022	Enable Intelligence on Billion Devices with Deep Learning PhD Theses 2022 (1); by Ang Li
2022	On Predicting with Aleatoric Uncertainty in Deep Learning PhD Theses 2022 (1); by Katarína Tóthová
2022	Deep learning in seismic wavefield reconstruction and resolution enhancement PhD Theses 2022 (1); by Thomas André Larsen Greiner
2022	Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases PhD Theses 2022 (1); by Luca Clissa
2022	Developing Machine Learning Techniques for Network connectivity Inference from Time-Series Data PhD Theses 2022 (1); by Amitava Banerjee
2022	Deep Learning Approaches Targeting Radiological Images PhD Theses 2022 (1); by Muhammad Usman Akbar
2022	Deep Learning-Based Spatio-Temporal Data Mining Using Multi-Source Geospatial Data PhD Theses 2022 (1); by Bingnan Li
2022	Deep learning approaches for predicting pathogenic potentials of novel DNA and RNA sequences PhD Theses 2022 (1); by Jakub M. Bartoszewicz
2022	Efficient Image Restoration on Mobile Devices with Deep Learning PhD Theses 2022 (1); by Andrii Ihnatov
2022	Extracting Feature Vectors From Event-Related fMRI Data to Enable Machine Learning Analysis PhD Theses 2022 (1); by Jeffrey S. Soldate
2022	Machine Learning-Based Efficient Resource Scheduling for Future Wireless Communication Networks PhD Theses 2022 (1); by Yaxiong Yuan
2022	Logging Statements Analysis and Automation in Software Systems with Data Mining and Machine Learning Techniques PhD Theses 2022 (1); by Sina Gholamian
2022	Deep Learning of Entity-Guided Representations in Digital Pathology PhD Theses 2022 (1); by Pushpak Pati
2022	Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation PhD Theses 2022 (1); by Frederick Mubang
2022	Machine Learning for Efficient and Robust Datacenter Performance Management PhD Theses 2022 (1); by Yuhao Li
2022	Multi-objective Robust Machine Learning For Critical Systems With Scarce Data PhD Theses 2022 (1); by Salah Ghamizi
2022	Science Guided Machine Learning: Incorporating Scientific Domain Knowledge for Learning Under Data Paucity and Noisy Contexts PhD Theses 2022 (1); by Nikhil Muralidhar
2022	Machine Learning-based Predictive Maintenance for Optical Networks PhD Theses 2022 (1); by Khouloud Abdelli
2022	Explainable deep learning classifiers for disease detection based on structural brain MRI data PhD Theses 2022 (1); by Fabian Eitel
2022	MALDI-TOF mass spectrometry based clinical antimicrobial resistance prediction using machine learning PhD Theses 2022 (1); by Caroline Weis
2022	Towards Realistic Embodied AI Agents PhD Theses 2022 (1); by Samyak Datta
2022	Deep Learning Image Analysis Framework for Clinical Management of Retinal and Corneal Diseases PhD Theses 2022 (1); by Jessica Loo
2022	Challenges and Opportunities of Machine Learning for Clinical and Omics Data PhD Theses 2022 (1); by Luca Pestarino
2022	Gap-filling using machine learning: implementations and applications in remote sensing PhD Theses 2022 (1); by Zhipeng Tang
2022	Prepoznavanje emocija utemeljeno na holografskim i topografskim mapama EEG značajki i dubokom učenju ; Emotion recognition based on holographic and topographic EEG feature maps and deep learning PhD Theses 2022 (1); by Ante Topic
2022	Deep Learning Techniques to Support Endovascular Surgical Procedures PhD Theses 2022 (1); by Alice Fantazzini
2022	Machine learning for perceiving facial micro-expression PhD Theses 2022 (1); by Yante Li
2022	A Machine Learning Approach to Detect Unexpected Behaviours in Scenario-Based Specifications PhD Theses 2022 (1); by Munima Jahan
2022	Computer Vision for Automated Traffic Safety Assessment: A Machine Learning Approach PhD Theses 2022 (1); by Martin Ahrnbom
2022	Embedded Machine Learning: Emphasis on Hardware Accelerators and Approximate Computing for Tactile Data Processing PhD Theses 2022 (1); by Hamoud Younes
2022	Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging PhD Theses 2022 (1); by Håkan Wieslander
2022	Deep Learning for Digital Pathology in Limited Data Scenarios PhD Theses 2022 (1); by Karin Stacke
2022	Machine learning applications to dynamical and multi-agent systems PhD Theses 2022 (1); by Francesco Borra
2022	Određivanje tipa osobnosti autora teksta temeljeno na dubokom učenju za klasifikaciju sa složenim oznakama klasa ; Determining personality type of text author based on deep learning for classification with compound class labels PhD Theses 2022 (1); by Ninoslav Cerkez
2022	Deep Learning for Sparse and Limited-View Photoacoustic Tomography Image Reconstruction PhD Theses 2022 (1); by Steven Guan
2022	Enriching Communication between Humans and AI Agents PhD Theses 2022 (1); by Khanh Nguyen
2022	Efficient Machine Learning for Ecosystem Monitoring with Earth Observation and Terrestrial Images PhD Theses 2022 (1); by Andrés C. Rodriguez Escallon
2022	Hybrid Architectures for Object Pose and Velocity Tracking at the Intersection of Kalman Filtering and Machine Learning PhD Theses 2022 (1); by Nicola A. Piga
2022	Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond PhD Theses 2022 (1); by Maximilian Schmidt
2022	Insights on the interplay of network architectures and optimization algorithms in deep learning PhD Theses 2022 (1); by Jonas Kohler
2022	Studies on advanced natural language processing representations and deep learning in decision making systems PhD Theses 2022 (1); by Ekaterina Loginova
2022	Adversarial Machine Learning in Wireless Communication Systems PhD Theses 2022 (1); by Brian Kim
2022	Thermal Multispectral Imaging and Spectroscopy with Optical Metasurfaces and Deep Learning PhD Theses 2022 (1); by Noor E. Karishma Shaik
2022	Computationally intensive, distributed and decentralised machine learning: from theory to applications PhD Theses 2022 (1); by Jelena Fiosina
2022	Securing Machine Learning: Streamlining Attacks and Defenses Under Realistic Adversary Models PhD Theses 2022 (1); by Buse G. A. Tekgul
2022	Deep Learning-based surrogate Modeling for strongly coupled Multidisciplinary Systems PhD Theses 2022 (1); by Sungkun Hwang
2022	Machine learning with nonlinear state space models (Maschinelles Lernen mit Nichtlinearen Zustandsraummodellen) PhD Theses 2022 (1); by Max Schüssler
2022	Machine Learning in Digital Signal Processing for Optical Transmission Systems PhD Theses 2022 (1); by Maximilian Schädler
2022	Exploring Knowledge Transfer with Deep Learning PhD Theses 2022 (1); by Siyang Yuan
2022	Hybrid Intelligence Systems - Designing Interactions for Continuous Mutual Augmentation of Humans and AI PhD Theses 2022 (1); by Christina Wiethof
2022	The three-dimensional single-bin-size bin packing problem: combining metaheuristic and machine learning approaches PhD Theses 2022 (1); by Gabriele Ancora
2022	Benchmark Framework for 2-D/3-D Integrated Compute-in-Memory Based Machine Learning Accelerator PhD Theses 2022 (1); by Xiaochen Peng
2022	Collaborative Artificial Intelligence Development for Social Robots PhD Theses 2022 (1); by Csaba Kertész
2022	Application of Artificial Intelligence declarative methods for Solving Operating Room Scheduling problems in Hospital Environments PhD Theses 2022 (1); by Muhammad Kamran Khan
2022	Application of unmanned aerial systems and deep learning in high-throughput plant phenotyping PhD Theses 2022 (1); by Zhe Lin
2022	Advancing Cost Efficiency and Robustness of Machine Learning through the Lens of Data PhD Theses 2022 (1); by Nezihe Merve Gürel
2022	Quantum Computing for Optimization and Machine Learning PhD Theses 2022 (1); by Shouvanik Chakrabarti
2022	Machine learning classification of user attributes via eye movements PhD Theses 2022 (1); by Sahar Mahdie Klim Al Zaidawi
2022	Supporting Sustainable Decision-Making with Value-Sensitive Artificial Intelligence PhD Theses 2022 (1); by Thomas Asikis
2022	Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies PhD Theses 2022 (1); by Tao Hou
2022	A Novel Perspective on Robustness in Deep Learning PhD Theses 2022 (1); by Hadi Mohaghegh Dolatabadi
2022	Towards understanding deep learning with the natural clustering prior PhD Theses 2022 (1); by Simon Carbonnelle
2022	On Trustworthy AI and Localized Complex Network Analytics PhD Theses 2022 (1); by Saharnaz E. Dilmaghani
2022	Applied Deep Learning: Case Studies in Computer Vision and Natural Language Processing PhD Theses 2022 (1); by Md Reshad Ul Hoque
2022	Large-Scale Multi-Source Satellite Data for Wildfire Detection and Assessment Using Deep Learning ; Storskalig satellitdata med flera källor för upptäckt och bedömning av skogsbränder med hjälp av djupinlärning PhD Theses 2022 (1); by Xikun Hu
2022	Deep learning-based analysis of dental X-ray images for forensic estimation of age and sex ; Analiza stomatoloških rendgenskih snimaka za forenzičku estimaciju dobi i spola temeljena na dubokom učenju PhD Theses 2022 (1); by Denis Milosevic
2022	Machine learning for fast and accurate assessment of earthquake source parameters PhD Theses 2022 (1); by Jannes Münchmeyer
2022	Deep Learning Based Optical Performance Monitoring for Digital Coherent Optical Receivers PhD Theses 2022 (1); by Hyung Joon Cho
2022	Information Theory and Machine Learning: A Coding Approach PhD Theses 2022 (1); by Li Wan
2022	Stable and Interpretable Machine Learning Models for the Prediction of Alzheimer's Disease from Clinical Data PhD Theses 2022 (1); by Annette Spooner
2022	Artificial Intelligence for Long-Term Reproducible High-Throughput Untargeted Metabolomics PhD Theses 2022 (1); by Andrei Dmitrenko
2022	Development of Machine Learning-based Spatially and Temporally Resolved 4D Radiomics in Radiation Oncology PhD Theses 2022 (1); by Francesco Sforazzini
2022	Engineering-driven Machine Learning Methods for System Intelligence PhD Theses 2022 (1); by Yinan Wang
2022	Deep learning as a tool for seismic data interpolation PhD Theses 2022 (1); by Volodya Hlebnikov
2022	Data Driven AI Assisted Green Network Design and Management PhD Theses 2022 (1); by Meysam Masoudi
2022	Fostering deep learning in immersive virtual reality: interplay of learner's characteristics with internal and external support PhD Theses 2022 (1); by Andrea Vogt
2022	Towards Robust Medical Machine Learning PhD Theses 2022 (1); by Jiabo He
2022	Enabling Deep Learning on Edge Devices PhD Theses 2022 (1); by Zhongnan Qu
2022	Machine learning prediction and statistical analysis of redox modifications in proteins PhD Theses 2022 (1); by Marcus Keßler
2022	Adaptive machine learning and signal processing detection schemes for DDoS attacks PhD Theses 2022 (1); by Maryam Ghanbari
2022	Novel Architecture and Machine Learning Models for System prognostic and Remaining Useful Life Prediction with uncertainty Quantification PhD Theses 2022 (1); by Zhaoyi Xu
2022	Machine learning methods for extracting medical knowledge from the human interactome PhD Theses 2022 (1); by Lorenzo Madeddu
2022	Optimalizace infrastruktury bezdrátových sítí s využitím metod umělé inteligence ; Optimization of Wireless Networks Infrastructure Using Artificial Intelligence Methods PhD Theses 2022 (1); by Pavel Seda
2022	Machine Learning in the Design Space Exploration of TSN Networks PhD Theses 2022 (1); by Tieu Long Mai
2022	Deep Learning in Demand Side Management: A Comprehensive Framework for Smart Homes PhD Theses 2022 (1); by Chen Li
2022	Identifying Network Biomarkers for Each Breast Cancer Subtypes Along with Their Effective Single and Paired Repurposed Drugs Using Network-Based Machine Learning Techniques PhD Theses 2022 (1); by Forough Firoozbakht
2022	Robust machine learning methods PhD Theses 2022 (1); by Muhammad Osama
2022	Artificial intelligence algorithms for activity pattern detection in the information operation networks PhD Theses 2022 (1); by Sachith Eranga Dassanayaka
2022	Reliable and Efficient Distributed Machine Learning PhD Theses 2022 (1); by Hao Chen
2022	Hluboké učení pro virtuální personalizované modelování a rekonstrukci lebky ; Deep Learning for Virtual Patient-Specific Skull Modelling and Reconstruction PhD Theses 2022 (1); by Oldrich Kodym
2022	Will it fail and why? A large case study of company default prediction with highly interpretable machine learning models PhD Theses 2022 (1); by Stefano Piersanti
2022	Computer Assisted Diagnosis in PET/CT: Machine Learning for Prognosis in Oncological Patients PhD Theses 2022 (1); by Sobhan Moazemi
2022	Deep learning applications over heterogeneous networks: from multimedia to genes PhD Theses 2022 (1); by Jesús Fernando Cevallos Moreno
2022	A Study of Administrative Data Representation for Machine Learning PhD Theses 2022 (1); by Negin Asadzadehzanjani
2022	Analysis of Data Security Vulnerabilities in Deep Learning PhD Theses 2022 (1); by Liam Fowl
2022	Certified Deep Learning: Verification and Training PhD Theses 2022 (1); by Matthew Mirman
2022	Evaluating and Interpreting Machine Learning outputs in genomics Data PhD Theses 2022 (1); by Jiyuan Fang
2022	Development and characterization of deep learning techniques for neuroimaging data PhD Theses 2022 (1); by Selamawet Workalemahu Atnafu
2022	Interpretable Deep Learning Approaches for Biomarker Detection from High-Dimensional Biomedical Data (Interpretierbare Deep Learning-Ansätze für die Erkennung von Biomarkern aus hochdimensionalen biomedizinischen Daten) PhD Theses 2022 (1); by Sahar Iravani
2022	Towards the Next Generation Highly Scalable Distributed Machine Learning PhD Theses 2022 (1); by Jun Yi
2022	Leveraging Graph Machine Learning for Social Network Analysis PhD Theses 2022 (1); by Zhiqiang Zhong
2022	Verification and Repair of Machine Learning Models PhD Theses 2022 (1); by Dario Guidotti
2022	Deep Learning with Diversity Imaging from AdaptiSPECT System for Estimation Tasks PhD Theses 2022 (1); by Kasarachi E. Aguwa
2022	Deep Learning-based CBCT Projection Interpolation, Reconstruction, and Post-processing for Radiation Therapy PhD Theses 2022 (1); by Ke Lu
2022	Building Data-Centric Systems for Machine Learning Development and Operations PhD Theses 2022 (1); by Cédric Renggli
2022	Systém identifikace vlaků ve výhybkách pomocí pokročilých metod strojového učení ; Train Identification System at Railway Switches And Crossings Using Advanced Machine Learning Methods PhD Theses 2022 (1); by Rostislav Krc
2022	Deep Learning for Three-Dimensional Multi-Modal Medical Image Processing: From Classification to Segmentation PhD Theses 2022 (1); by Kh Tohidul Islam
2022	Machine Learning for Credit Risk Analytics PhD Theses 2022 (1); by Nikita Kozodoi
2022	Multisensory Imagery Cues for Object Separation, Specularity Detection and Deep Learning based Inpainting PhD Theses 2022 (1); by Md. Nazrul Islam
2022	Interpretable Deep Learning for Time Series PhD Theses 2022 (1); by Aya Abdelsalam Ismail
2022	Hybrid Artificial Intelligence to extract patterns and rules from argumentative and legal texts PhD Theses 2022 (1); by Davide Liga
2022	Cosmological Parameter Inference with Deep Learning PhD Theses 2022 (1); by Janis Fluri
2022	3D Deep Learning for Object-Centric Geometric Perception PhD Theses 2022 (1); by Xiaolong Li
2022	Reliable Deep Learning: a Robustness Perspective PhD Theses 2022 (1); by Sahil Singla
2022	Deep learning-based methods for defect detection from ultrasound images ; Metode zasnovane na dubokom učenju za detekciju defekata iz ultrazvučnih slika PhD Theses 2022 (1); by Duje Medak
2022	Deep learning methods for segmentation of images of frozen tissue sections ; Metode dubokoga učenja za segmentaciju slika smrznutih patohistoloških rezova PhD Theses 2022 (1); by Dario Sitnik
2022	Analyzing the breast tissue in mammograms using deep learning PhD Theses 2022 (1); by Nasibeh Saffari Tabalvandani
2022	Developing Novel Criteria to Classify ARDS Severity using a Machine Learning Approach PhD Theses 2022 (1); by Mohammed Sayed
2022	Human-centered machine learning for music emotion recognition PhD Theses 2022 (1); by Juan Sebastián Gómez Cañón
2022	Characterizing brain mechanisms underlying Neurofeedback and Meditation through whole-brain computational modeling and artificial intelligence PhD Theses 2022 (1); by Eleonora De Filippi
2022	Towards audio-visual deep learning methods for singing voice separation and lip synchronization PhD Theses 2022 (1); by Venkatesh Shenoy Kadandale
2022	A machine learning approach to computer modeling of musical expression for performance learning and practice PhD Theses 2022 (1); by Fábio José Muneratti Ortega
2022	Automated detection of neoplastic cells using Deep Learning approaches PhD Theses 2022 (1); by Luis Eduardo Rebollo Bretaño
2022	Aleatoric Uncertainty Modelling in Regression Problems using Deep Learning PhD Theses 2022 (1); by Axel Brando
2022	Artificial Intelligence and inclusion: an analysis of bias against the poor PhD Theses 2022 (1); by Georgina Curto
2022	Compact Machine Learning Systems with Reconfigurable Computing PhD Theses 2022 (1); by Alejandro Morán Costoya
2022	Investigating quantum many-body systems with tensor networks, machine learning and quantum computers PhD Theses 2022 (1); by Korbinian Kottmann
2022	Methods for Knowledge-Based Systems and Deep Learning Integration PhD Theses 2022 (1); by Elvira Amador-Domínguez
2022	Quantum many-body physics with ultracold atoms and molecules: exact dynamics and machine learning PhD Theses 2022 (1); by Anna Dawid
2022	Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology PhD Theses 2022 (1); by Irem Cetin
2022	Aplicaciones del Machine Learning al mantenimiento predictivo de programas de ordenador PhD Theses 2022 (1); by Zhicheng Jiang
2022	Deep learning and unsupervised machine learning for the quantification and interpretation of electrocardiographic signals PhD Theses 2022 (1); by Guillermo Jiménez-Pérez
2022	Novel deep learning-based indentification methods for accurate, orientation-aware visual detection with application to inspection and quality control PhD Theses 2022 (1); by Kai Yao
2022	Endüstriyel nesnelerin internetinde derin öğrenme ve dempster shafer teorisine dayalı karar verme (Deep learning and dempster shafer theory based decision-making in the industrial internet of things) PhD Theses 2022 (1); by Nader Ebrahimpour
2022	Derin öğrenme tabanlı yapı elektrik plan çizimi (Deep learning based building electrical plan drawing) PhD Theses 2022 (1); by Bayram Akgül
2022	Detection of remote homology in proteins by machine learning algorithms (Uzak homolog proteinlerin makine öğrenme algoritmaları kullanılarak tespiti) PhD Theses 2022 (1); by Fahriye Gemci
2022	Makine öğrenmesi yöntemleri kullanılarak akıllı telefon tabanlı stres tespit sistemi geliştirilmesi (Developing smartphone based stress detection system using machine learning methods) PhD Theses 2022 (1); by Ensar Arif Sagbas
2022	İlaç-bitki etkileşimleri için bir veri kümesi oluşturulması ve makine öğrenmesi ile tahminlenmesi (Creating a dataset for drug-herb interactions and prediction with machine learning) PhD Theses 2022 (1); by Erkan Yasar
2022	Kurumsal kaynak planlama yazılımlarında yapay zeka teknikleri kullanılarak kullanıcı destek sistemine yönelik model tasarımı ve geliştirilmesi (Model design and development for user support system using artificial intelligence techniques in enterprise resource planning software) PhD Theses 2022 (1); by Hakan Asan
2022	Using machine learning to improve automated test generation (Otomatik test yaratımını iyileştirme amaçlı makine öğrenmesi kullanımı) PhD Theses 2022 (1); by Yavuz Köroglu
2022	Özellik tabanlı görüş madenciliğinde yapay zeka teknikleri kullanarak görüş hedefi çıkarımı ve kategori tespiti (Opinion target extraction and category detection using artificial intelligence techniques in aspect-based opinion mining) PhD Theses 2022 (1); by Kürsat Mustafa Karaoglan
2022	Makine öğrenmesi teknikleri kullanılarak nörodejeneratif hastalık tespiti ve derecelendirmesi (Neurodegenerative disease detection and rating using machine learning techniques) PhD Theses 2022 (1); by Çagatay Berke Erdas
2022	Hücresel ağlarda hücre hizmet kesintisinin yeni nesil derin öğrenme algoritmaları ile tespiti (Detection of cell outages in cellular networks with new generation deep learning algorithms) PhD Theses 2022 (1); by Hasan Tahsin Oguz
2022	Saldırı tespit ve engelleme sistemleri için yapay zeka tabanlı yeni bir güvenlik modelinin oluşturulması (Building a new artificial intelligence based security model for intrusion detection and prevention systems) PhD Theses 2022 (1); by Ilhan Firat Kilincer
2022	Makine öğrenmesi algoritmalarının KAD/QKD artık bit\'lerinin geri kazanımında kullanımı (Use of machine learning algorithms in recovery of KAD/QKD article bits) PhD Theses 2022 (1); by Faruk Takaoglu
2022	Scroth yöntemiyle skolyoz tedavisi için derin öğrenme tabanlı bir sistem geliştirilmesi (Development of a deep learning based system for the treatment of scoliosis with the Schroth method) PhD Theses 2022 (1); by Sena Goral
2022	Veri kümesindeki doğal yapılanmalar ile makine öğrenmesi (Machine learning with natural structures in the data set) PhD Theses 2022 (1); by Bergen Karabulut
2022	Nicelenmiş derin öğrenme ağları için FPGA tabanlı hızlandırıcı tasarımı (FPGA-based accelerator design for quantized deep learning networks) PhD Theses 2022 (1); by Mustafa Tasci
2022	An explainable ai application for classification of biomedical text with a hybrid approach using word embedding and bag-of-word (Biyomedikal metinlerin sözcük iliştirme ve sözcük torbası yöntemi kullanarak melez yaklaşımla sınıflandırılmasında açıklanabilir bir yapay zeka uygulaması) PhD Theses 2022 (1); by Nizar Abdulaziz Mahyoub Ahmed
2022	Türk dilinde derin öğrenme ile dudak okuma (Lip reading with deep learning in Turkish language) PhD Theses 2022 (1); by Hadi Pourmousa
2022	Soru yanıtlama sistemleri için hibrid makine öğrenmesi tekniklerine dayalı bir yöntem tasarımı ve gerçekleştirimi (The design and implementation of a method for question answering systems based on hybrid machine learning techniques) PhD Theses 2022 (1); by Sinem Cinaroglu
2022	Deep learning-based dependency parsing for Turkish (Derin öğrenme tabanlı Türkçe bağlılık ayrıştırması) PhD Theses 2022 (1); by Saziye Betül Özates
2022	Kara taşıtları için üç boyutlu arazi modellerinde yapay zekâ tabanlı yol bulma (AI-based path finding on three-dimensional terrain models for land vehicles) PhD Theses 2022 (1); by Ali Murat Sümen
2022	Yoğun bakım hastalarının mortalite ve hastanede kalma sürelerinin derin öğrenme yöntemleri ile tahmini (Prediction of mortality and length of stay of icu patients with deep learning) PhD Theses 2022 (1); by Batuhan Bardak
2022	Eşler arası ağlarda makine öğrenimi destekli tutarlılık temelli güven yönetimi (Machine learning aided consistency based trust management in p2p networks) PhD Theses 2022 (1); by Yasin Sahin
2022	Fully automated on-street parking spot detection with different deep learning methods (Farklı derin öğrenme yöntemleriyle tam otomatik cadde park yeri tespiti) PhD Theses 2022 (1); by Emre Çiçek
2022	Derin öğrenme tabanlı gerçek zamanlı polip tespit yöntemlerinin geliştirilmesi ve incelenmesi (Development and investigation of deep learning based real-time polyp detection methods) PhD Theses 2022 (1); by Ishak Paçal
2022	Derin öğrenme ile covıd-19, beyaz kan hücreleri, tüberküloz ve kalp krizi riskinin analizi (Analysis of covid-19, white blood cells, tuberculosis and heart attack risk by using deep learning) PhD Theses 2022 (1); by Ömer Sevinç
2022	Derin öğrenme tabanlı prostat görüntülerinin segmentasyonu (Segmentation of deep learning-based prostate images) PhD Theses 2022 (1); by Hakan Öcal
2022	Tokat bölgesi buğday üretiminde bazı yabancı otların derin öğrenme yöntemi ile tespit edilmesi (Detection of some weeds in wheat production of Tokat region by deep learning) PhD Theses 2022 (1); by Mustafa Guzel
2022	Planar geometry estimation with deep learning (Derin öğrenme ile düzlemsel geometrinin tahminlenmesi) PhD Theses 2022 (1); by Furkan Eren Uzyildirim
2022	Derin öğrenme yöntemleri kullanılarak meme kanseri teşhisi (Diagnoses of breast cancer using deep learning techniques) PhD Theses 2022 (1); by Peren Jerfi Canatalay
2022	Uzaktan algılamada derin öğrenme tabanlı hiperspektral uydu görüntülerinin sınıflandırılması (Classification of deep learning based hyperspectral satellite images in remote sensing) PhD Theses 2022 (1); by Hüseyin Firat
2022	Derin öğrenme yöntemleri ve yapay sinir ağı tabanlı NDVI değerleri ile çeltik bitkisi hastalıkların tespiti (Detection of diseases in rice plant with deep learning methods and artificial network based NDVI values) PhD Theses 2022 (1); by Irfan Ökten
2022	Sağlık hizmetlerinde yapay zeka uygulamaları: Yoğun bakım örneği (Artificial intelligence in healthcare: An implementation example for intensive care units) PhD Theses 2022 (1); by Zehra Nur Canbolat
2022	Big data and machine learning for behavioral analytics and inference: Cases in sports and education (Davranış analitiği ve nedensel çıkarımlarda büyük veri ve makineöğrenimi: Spor ve eğitimden vakalar) PhD Theses 2022 (1); by Emrah Yilmaz
2022	Coğrafi bilgi sistemleri entegreli makine öğrenmesine dayalı toplu taşınmaz değerleme modelinin geliştirilmesi (Development of mass property valuation model based on geographic information systems integrated machine learning methods) PhD Theses 2022 (1); by Muhammed Oguzhan Mete
2022	Kuantum hesaplama tabanlı yapay zeka algoritmalarının geliştirilmesi (Development of quantum computation based artificial intelligence algorithms) PhD Theses 2022 (1); by Hasan Yetis
2022	An ontology-based approach for question answering systems that using machine learning (Makine öğrenmesi kullanan soru cevaplama sistemleri için ontoloji tabanlı bir yaklaşım) PhD Theses 2022 (1); by Zekeriya Anil Guven
2022	Developing deep learning models for protein structure prediction (Protein yapı tahmini için derin öğrenme modellerinin geliştirilmesi) PhD Theses 2022 (1); by Yasin Görmez
2022	Oturumlardaki makalelerin belirlenmesinden zamanlama sürecine kadar derin öğrenme tabanlı konferans programı organizasyon sisteminin geliştirilmesi (Developing deep learning based conference program organization system from determining articles in the sessions to scheduling process) PhD Theses 2022 (1); by Esra Gündogan
2022	Aydınlatmanın görüntü işleme problemlerine etkisinin yapay zeka teknikleri kullanılarak analizi (Analysis of the effect of lighting on image processing problems using artificial intelligence techniques) PhD Theses 2022 (1); by Birkan Buyukarikan
2022	Yapay zeka teknikleri ile manyetik rezonans görüntülerinden multipl skleroz hastalığının teşhisi ve gelecekteki aktivitesinin tahmini (Identification of multipl sclerosis and prediction of future activity from magnetic resonance images by artificial intelligence techniques) PhD Theses 2022 (1); by Züleyha Yilmaz Acar
2022	IoT tabanlı akıllı şehirlerde derin öğrenme ve mobil tabanlı akıllı park sistemi yaklaşımı (Deep learning and mobile-based smart parking system approach in IoT-based smart cities) PhD Theses 2022 (1); by Hikmet Canli
2022	Görüntü işleme ve derin öğrenme yöntemleri ile cilt kanseri teşhisi için karar destek sisteminin geliştirilmesi (Development of decision support system for skin cancer diagnosis with image processing and deep learning methods) PhD Theses 2022 (1); by Cihan Akyel
2022	Endüstriyel karo üretiminde kalite kontrol sürecinin yapay görme ve derin öğrenme teknikleri ile dijitalleştirilmesi (Digitalizing the quality control process in industrial tile production with machine vision and deep learning techniques) PhD Theses 2022 (1); by Hüseyin Coskun
2022	Makine öğrenmesi yaklaşımları kullanılarak EKG işaretlerinden aritmi teşhisi (Diagnosis of arrhythmia from ECG signs using machine learning approaches) PhD Theses 2022 (1); by Ersin Ersoy
2022	Integrating detection of vascular degeneration into augmented reality environment: An e-health application based on near-infrared spectroscopy and deep learning (Damarsal dejenerasyon tespitinin artırılmış gerçeklik ortamına entegrasyonu: Yakın-kızılötesi spektroskopi ve derin öğrenme temelli bir e-sağlık uygulaması) PhD Theses 2022 (1); by Hüseyin Askin Erdem
2022	Videolarda derin öğrenme yaklaşımları ile anormal durum tespiti ve boyut indirgeme sistemi (Anomaly detection and size reduction system with deep learning approaches in videos) PhD Theses 2022 (1); by Mehmet Tevfik Agdas
2022	Makine öğrenmesi yöntemleriyle biyomedikal veriden kanser teşhisi (Cancer diagnosis from biomedical data with machine learning methods) PhD Theses 2022 (1); by Öznur Sinem Sönmez
2022	Derin öğrenme temelli yeni nesil güvenlik duvarının tasarlanması (Designing a deep learning based next generation firewall) PhD Theses 2022 (1); by Kenan Baysal
2022	Kamufle görüntülerden nesne algılama için derin öğrenmeye dayalı yeni yaklaşım (A new approach based on deep learning for object detection from camouflaged images) PhD Theses 2022 (1); by Rabeb Hendaoui
2022	Design of a soil texture analysis device based on ultrasound sensors and machine learning methods (Ultrases sensörleri ve makine öğrenmesi tabanlı toprak doku analiz cihazı tasarımı) PhD Theses 2022 (1); by Emre Kilinç
2022	Derin öğrenme ile paratüberküloz hastalığının patolojik görüntüler üzerinden tanı sisteminin geliştirilmesi (Deep learning based development of diagnostic system of paratuberculosis disease through pathological images) PhD Theses 2022 (1); by Nilgün Sengöz
2022	Bitki transkripsiyon faktörlerinin hibrit derin öğrenme ile sınıflandırılması (Classification of plant transcription factors by hybrid deep learning) PhD Theses 2022 (1); by Ali Burak Öncül
2022	Hybrid deep learning model for automatic fake news detection PhD Theses 2022 (1); by Othman Araf Hanshal Hanshal
2022	A machine learning approach for the detection of trade‑based manipulations in Borsa İstanbul (Makine öğrenmesi yaklaşımıyla Borsa İstanbul\'da işlem bazlı manipülasyonların tespiti) PhD Theses 2022 (1); by Nurullah Celal Uslu
2022	Meme kanseri histopatolojik görüntülerinin derin öğrenme yöntemleriyle sınıflandırılması (Classification of breast cancer histopatological images using deep learning methods) PhD Theses 2022 (1); by Kadir Can Burçak
2022	Otomatik Türkçe dudak okuma için bilgisayarlı görü ve derin öğrenme modellerinin geliştirilmesi (Development of computer vision and deep learning models for automatic Turkish lip reading) PhD Theses 2022 (1); by Furkan Sabaz
2022	Doğal dil işleme tekniklerini ve derin öğrenme algoritmalarını kullanarak sosyal ağlarda spam tespiti (Using natural language processing techniques and deep learning algorithms for detecting spam on social networks) PhD Theses 2022 (1); by Rezan Bakir
2022	Video oyun yaş etiketlerinin çok modlu biyosinyaller ve yapay zeka ile tahmini (Prediction of video game age labels with multimodal biosignals and artificial intelligence) PhD Theses 2022 (1); by Durmus Koç
2022	Derin öğrenme yöntemlerinin tıbbi teşhis alanında sorgulanması ve beyin tümörü tanısında uygulanması (Investigation of deep learning in medical image analysis and detection of brain tumor using novel adaptive momentum method) PhD Theses 2022 (1); by Utku Can Aytaç
2022	Derin öğrenme tabanlı bakteri sınıflandırma (Deep learning based bacteria classification) PhD Theses 2022 (1); by Omer Faruk Nasip
2022	Diyabetik retinopati hastalığının derin öğrenme ile tespit edilmesi (Detecting diabetic retinopathy by deep learning) PhD Theses 2022 (1); by Abdüssamed Erciyas
2022	Yüksek benzerlikli nesnelerin makine öğrenmesi tabanlı sınıflandırılması (Classification of high-similarity objects based machine learning) PhD Theses 2022 (1); by Canan Tastimur
2022	Ses sinyallerinin graf tabanlı temsillerinin yapay zekâ yöntemleri ile sınıflandırılması (Classification of graph-based representations of audio signals by artificial intelligence methods) PhD Theses 2022 (1); by Serkan Aksu
2022	DERİN ÖĞRENME YÖNTEMLERİ KULLANILARAK WEB UYGULAMA GÜVENLİĞİ SAĞLANMASI (ENSURING WEB APPLICATION SECURITY USING DEEP LEARNING METHODS) PhD Theses 2022 (1); by Mehmet Sevri
2022	İmalat sistemlerinde derin öğrenme tabanlı doku hata tespiti (Deep learning based texture defect detection in manufacturing systems) PhD Theses 2022 (1); by Hüseyin Üzen
2022	A computational ontological model for machine-understandable data in artificial intelligence (Yapay zekada makine-anlayabilir veri için berimsel bir ontolojik model) PhD Theses 2022 (1); by Dilek Yargan
2022	Lazer işaretleri ile yapay zeka temelli hedef analizi (Artificial intelligence based target analysis with laser signals) PhD Theses 2022 (1); by Nevzat Olgun
2022	Employment of cycle-spinning in deep learning (Derin ögrenmede döngülü çevirim yönteminin kullanımı) PhD Theses 2022 (1); by Ülkü Uzun
2022	Otonom araçlar için makine öğrenmesi teknikleri kullanılarak saldırı tespit sistemi geliştirilmesi (Development of intrusion detection system by using machine learning techniques for autonomous vehicles) PhD Theses 2022 (1); by Dogukan Aksu
2022	Short term electricity load forecasting with deep learning (Derin öğrenme ile kısa dönemli elektrik yük talep tahmini) PhD Theses 2022 (1); by Ibrahim Yazici
2022	Nesnelerin interneti için derin öğrenme ile veri odaklı ağ saldırı sınıflandırma sistemi (Data-oriented network attack classification system with deep learning for the internet of things) PhD Theses 2022 (1); by Ugur Çekmez
2022	Biopsy cost reduction for early diagnosis of breast cancer using hybrid deep learning techniques (Hibrit derin öğrenme teknikleri kullanılarak meme kanserinde erken teşhis için biyopsi maliyetinin düşürülmesi) PhD Theses 2022 (1); by Pinar Uskaner Hepsag
2022	Yapay zekâ yöntemleri ile yazılımların maliyetlerinin tahmin edilmesi (Estimating software costs by artificial intelligence methods) PhD Theses 2022 (1); by Sükran Ebren Kara
2022	Protein/amino asit dizilimlerinin yapay zeka ile değerlendirilmesinde yeni yaklaşımların geliştirilmesi (Development of new approaches to evaluate protein/amino acid sequences with artificial intelligence) PhD Theses 2022 (1); by Talha Burak Alakus
2022	Derin öğrenme yöntemleri ile el bilek grafisinden kemik yaşının tahmini (Age estimation from left-hand radiographs with deep learning methods) PhD Theses 2022 (1); by Cüneyt Özdemir
2022	Derin öğrenme yöntemleri kullanılarak kıyafet uyum tespiti ve teşhisi (Outfit compatibility detection and diagnosis using deep learning methods) PhD Theses 2022 (1); by Caner Balim
2022	Çoklu robot koordinasyonu üzerine makine öğrenme algoritmalarının uyarlanması (Adapting machine learning algorithms on multi-robot coordination) PhD Theses 2022 (1); by Sadi Fuat Çankaya
2022	Makine öğrenmesi algoritmaları ile engellilere yönelik EEG işaretlerinin sınıflandırılması (Classification of EEG signals for the disabled with machine learning algorithms) PhD Theses 2022 (1); by Ali Osman Selvi
2022	Android cihazlarda makine öğrenmesi algoritmaları kullanılarak kötücül yazılım tespiti (Malware detection using machine learning algorithms on android devices) PhD Theses 2022 (1); by Durmus Özkan Sahin
2022	Yazılım tanımlı ağlar üzerinde makine öğrenimi kullanarak optimal özellik çiftlerini belirleme ve anomali tespiti (Identifying optimal feature pairs and detecting anomalies using machine learning on software-defined networks) PhD Theses 2022 (1); by Erman Özer
2022	A comparative study for football analytics with data mining and artificial intelligence techniques (Veri madenciliği ve yapay zeka teknikleri ile karşılaştırmalı futbol analitiği) PhD Theses 2022 (1); by Mustafa A. Al-Asadi
2022	Application of machine learning methods in manufacturing sector (Üretim sektöründe makine öğrenmesi yöntemlerinin uygulanması) PhD Theses 2022 (1); by Alican Dogan
2022	Web saldırılarının derin öğrenme ile tespit edilmesi (Detection of web attacks with deep learning) PhD Theses 2022 (1); by Yunus Emre Seyyar
2022	Çevrimiçi sosyal ağlarda derin öğrenme ve hibrit metasezgisel algoritma tabanlı nefret söylemi tespit sistemi (Deep learning and hybrid metaheuristic algorithm based hate speech detection system in online social networks) PhD Theses 2022 (1); by Cem Baydogan
2022	A deep learning model for prognostics and system health management (Prognostik ve sistem sağlığı yönetimi için derin bir öğrenme modeli) PhD Theses 2022 (1); by Rashid Ramadhan Bwambale
2022	Web servislerinde mesajin iki katmanlı QR kod ile iletimi ve makine öğrenmesi yöntemleri ile tespiti (Two layer QR code transmission of message in web services and detection with machine learning methods) PhD Theses 2022 (1); by Mirsat Yesiltepe
2022	Elektrikli araçlar için yapay zeka tabanlı rejeneratif enerji denetimi (Artificial intelligence based regenerative energy control for electric vehicles) PhD Theses 2022 (1); by Ömer Boyaci
2022	MR taramaları üzerinde derin öğrenme modelleri kullanılarak multipl skleroz lezyonlarının otomatik tespiti ve değişiminin takibi (Follow-up and automatic detection of multiple sclerosis lesions using deep learning models on MR scans) PhD Theses 2022 (1); by Mehmet Süleyman Yildirim
2022	Optik koherens tomografi görüntülerinden yaşa bağlı makular dejenerasyon tiplerinin yapay zeka kullanılarak tespiti (Detection of age-related macular degeneration types from optical coherens tomography images using artificial intelligence) PhD Theses 2022 (1); by Muhammed Akif Yenikaya
2022	Makine öğrenmesi tabanlı gerçek zamanlı medikal nesnelerin interneti çerçevesinin geliştirilmesi (Development of machine learning-based real-time medical internet of things framework) PhD Theses 2022 (1); by Emre Yildirim
2022	Sepsis hastalığının derin öğrenme yöntemiyle tahmini (Sepsis disease prediction by deep learning) PhD Theses 2022 (1); by Umut Kaya
2022	Artificial intelligence based and digital twin enabled aeronautical AD-HOC network management (Yapay zeka tabanlı ve dijital ikiz destekli geçici havasal ağ yönetimi) PhD Theses 2022 (1); by Tugçe Bilen
2022	Geliştirilen yeni filtrelerin ve temel frekans tespit yönteminin derin öğrenme ile konuşma duygu analizinde uygulanması (Application of novel filter banks and fundamental frequency detection method in speech emotion recognition with deep learning) PhD Theses 2022 (1); by Cevahir Parlak
2022	Makine öğrenmesi yöntemleriyle kitle fonlaması projeleri için iş zekası ortamı tasarlanması ve etkilerinin araştırılması (Designing and researching effects business intelligence environment for crowdfunding projects with machine learning methods) PhD Theses 2022 (1); by Murat Kilinç
2022	Machine learning-based hybrid worst-case resource analysis for embedded software and neural networks PhD Theses 2022 (1); by Thomas Huybrechts
2022	Biological data mining : from interestingness measure to deep learning PhD Theses 2022 (1); by Danh Bui Thi
2022	Applying machine learning in business process monitoring PhD Theses 2022 (1); by Stephen Pauwels
2022	Machine learning techniques for integrity control PhD Theses 2022 (1); by Nicolò Bonettini
2022	Embedded AI and sensor fusion for autonomous vehicles PhD Theses 2022 (1); by Simone Mentasti
2022	A machine learning-based framework for automatic and interpretable health and usage monitoring of safety-critical air and ground vehicles PhD Theses 2022 (1); by Jessica Leoni
2022	Opening the Black Box: Empowering Machine Learning Models with Explanations PhD Theses 2022 (1); by Mattia Setzu
2022	Deep Learning Techniques for Visual Counting PhD Theses 2022 (1); by Luca Ciampi
2022	Addressing collaborative machine learning challenges in medical imaging PhD Theses 2022 (1); by Edoardo Giacomello
2022	Machine learning for optimization of energy intensive industrial processes PhD Theses 2022 (1); by Alessandro Brusaferri
2022	Resource management for millimeter-wave access networks based on artificial intelligence PhD Theses 2022 (1); by Bibo Zhang
2022	A study on deep learning methodologies applied to geophysical inverse problems PhD Theses 2022 (1); by Francesco Picetti
2022	Machine learning based management and monitoring of next-generation communication networks PhD Theses 2022 (1); by Andrea Pimpinella
2022	Deep and wide tiny machine learning PhD Theses 2022 (1); by Simone Disabato
2022	Bayesian Deep Learning for Graphs PhD Theses 2022 (1); by Federico Errica

Software Engineering / SE Radio Podcasts (FREE)

2022	Episode 493: Ram Sriharsha on Vectors in Machine Learning SE Radio Podcasts (FREE) 2022 Ram Sriharsha of Pinecone discusses the role of vectors in machine learning, a technique that lies at the heart of many of the machine learning…
2022	Episode 493: Ram Sriharsha on Vectors in Machine Learning SE Radio Podcasts (FREE) 2022 Ram Sriharsha of Pinecone discusses the role of vectors in machine learning, a technique that lies at the heart of many of the machine learning…

Software Engineering / ACM queue (FREE)

2022	Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools ACM queue (FREE) 2022 (6); by Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, Idan Gazit

Software Engineering / IEEE Software

2022	Taming Data Quality in AI-Enabled Industrial Internet of Things IEEE Software 2022 (6); by Sagar Sen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Phu Hong Nguyen, Iker Mancisidor
2022	Engineering AI-Enabled Computer Vision Systems: Lessons From Manufacturing IEEE Software 2022 (6); by André Sagodi, Johannes Schniertshauer, Benjamin van Giffen
2022	What Can the Public Sector Teach Us About Deploying Artificial Intelligence Technologies? IEEE Software 2022 (6); by Alireza Nili, Kevin C. Desouza, Tan Yigitcanlar
2022	An AI Engineer Versus a Software Engineer IEEE Software 2022 (6); by Ipek Ozkaya
2022	Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience IEEE Software 2022 (6); by Karthik Vaidhyanathan, Anish Chandran, Henry Muccini, Regi Roy
2022	AI Engineering Research in Software Engineering Venues IEEE Software 2022 (6); by Alexander Serebrenik, Miroslaw Staron, Jordi Cabot, Birgit Penzenstadler, Lorin Hochstein, Jeffrey C. Carver
2022	Toward Fractal Development of Data Processing-Intensive Artificial Intelligence Systems IEEE Software 2022 (6); by Diego Rodríguez-Mancini, Zheng Li, Camilo Valenzuela, Guillermo Cabrera-Vives, Francisco Förster
2022	AI Engineering: Realizing the Potential of AI IEEE Software 2022 (6); by Jan Bosch, Helena Holmström Olsson, Björn Brinne, Ivica Crnkovic
2022	Can RE Help Better Prepare Industrial AI for Commercial Scale? IEEE Software 2022 (6); by Boris Scharinger, Markus Borg, Andreas Vogelsang, Thomas Olsson
2022	AI-Driven Development Is Here: Should You Worry? IEEE Software 2022 (2); by Neil A. Ernst, Gabriele Bavota
2022	The Secret to Better AI and Better Software (Is Requirements Engineering) IEEE Software 2022 (1); by Nelly Bencomo, Jin L. C. Guo, Rachel Harrison, Hans-Martin Heyn, Tim Menzies

Software Engineering / GOTO Conference Videos (FREE)

2022	It's All About AI GOTO Conference Videos (FREE) 2022; by Martin Frtsch, Thomas Endres, Jonas Mayer
2022	Training & Monitoring AI - Drift Detection GOTO Conference Videos (FREE) 2022; by Thomas Viehmann
2022	Machine Learning Made Easy With PyCaret GOTO Conference Videos (FREE) 2022; by Moez Ali
2022	Eldercam: Event-driven AI for Surveillance GOTO Conference Videos (FREE) 2022; by John Page
2022	Explainable AI Explained for Developers GOTO Conference Videos (FREE) 2022; by Joop Snijder, Willem Meints
2022	Machine Learning for Autonomous Vehicles GOTO Conference Videos (FREE) 2022; by Oscar Beijbom, Prayson Daniel
2022	Kubeflow for Machine Learning GOTO Conference Videos (FREE) 2022; by Holden Karau, Adi Polak

2021 (829)

Computing (general) / Communications of the ACM

2021	AI-CHD: an AI-based framework for cost-effective surgical telementoring of congenital heart disease Communications of the ACM 2021 (12); by Xiaowei Xu, Hailong Qiu, Qianjun Jia, Yuhao Dong, Zeyang Yao, Wen Xie, Huiming Guo, Haiyun Yuan, Jian Zhuang, Meiping Huang, Yiyu Shi
2021	Knowledgeable machine learning for natural language processing Communications of the ACM 2021 (11); by Xu Han, Zhengyan Zhang, Zhiyuan Liu
2021	The practice of applying AI to benefit visually impaired people in China Communications of the ACM 2021 (11); by Chun Yu, Jiajun Bu
2021	Medical artificial intelligence: the European legal perspective Communications of the ACM 2021 (11); by Karl Stöger, David Schneeberger, Andreas Holzinger
2021	There is no AI without data Communications of the ACM 2021 (11); by Christoph Gröger
2021	AI start-ups in China Communications of the ACM 2021 (11); by Jing Yang
2021	AI futures: fact and fantasy Communications of the ACM 2021 (10); by Devdatt P. Dubhashi
2021	Trustworthy AI Communications of the ACM 2021 (10); by Jeannette M. Wing
2021	AI ethics: a call to faculty Communications of the ACM 2021 (9); by Illah Reza Nourbakhsh
2021	Optimal auctions through deep learning Communications of the ACM 2021 (8); by Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2021	Responsible AI: bridging from ethics to practice Communications of the ACM 2021 (8); by Ben Shneiderman
2021	Biases in AI systems Communications of the ACM 2021 (8); by Ramya Srinivasan, Ajay Chander
2021	The limits of differential privacy (and its misuse in data release and machine learning) Communications of the ACM 2021 (7); by Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia
2021	Deep learning for AI Communications of the ACM 2021 (7); by Yoshua Bengio, Yann LeCun, Geoffrey E. Hinton
2021	Deceiving AI Communications of the ACM 2021 (6); by Don Monroe
2021	CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design Communications of the ACM 2021 (6); by Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
2021	Technical perspective: A chiplet prototype system for deep learning inference Communications of the ACM 2021 (6); by Natalie D. Enright Jerger
2021	The strategic pursuit of artificial intelligence in the United Arab Emirates Communications of the ACM 2021 (4); by Farah E. Shamout, Dana Abu Ali
2021	An AI-enabled future for Qatar and the region Communications of the ACM 2021 (4); by Ashraf Aboulnaga, Sanjay Chawla, Ahmed K. Elmagarmid, Mohammed Al-Mannai, Hassan Al-Sayed
2021	Deep learning speeds MRI scans Communications of the ACM 2021 (4); by Paul Marks
2021	The transformation of patient-clinician relationships with AI-based medical advice Communications of the ACM 2021 (3); by Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin M. Mann, Maurizio Porfiri, Mark O. Riedl, John-Ross Rizzo, Batia Mishan Wiesenfeld
2021	Understanding deep learning (still) requires rethinking generalization Communications of the ACM 2021 (3); by Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2021	Polanyi's revenge and AI's new romance with tacit knowledge Communications of the ACM 2021 (2); by Subbarao Kambhampati
2021	Insights for AI from the human mind Communications of the ACM 2021 (1); by Gary Marcus, Ernest Davis
2021	Geometric deep learning advances data science Communications of the ACM 2021 (1); by Samuel Greengard

Computing (general) / IEEE Computer

2021	Economics of Artificial Intelligence in the Gulf Cooperation Council Countries IEEE Computer 2021 (12); by Mamduh M. Hanafi, Nir Kshetri, Ravi Sharma
2021	Protecting AI: We Built the Brains, but What About Helmets? IEEE Computer 2021 (12); by Mark Campbell
2021	Colors of Artificial Intelligence IEEE Computer 2021 (11); by Hsiao-Ying Lin
2021	Explainable Machine Learning for Fraud Detection IEEE Computer 2021 (10); by Ismini Psychoula, Andreas Gutmann, Pradip Mainali, Sharon H. Lee, Paul Dunphy, Fabien A. P. Petitcolas
2021	Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust IEEE Computer 2021 (10); by Seshadhri Srinivasan, Pandarasamy Arjunan, Baihong Jin, Alberto L. Sangiovanni-Vincentelli, Zuraimi Sultan, Kameshwar Poolla
2021	Artificial Intelligence in Critical Infrastructure Systems IEEE Computer 2021 (10); by Phil Laplante, Ben Amaba
2021	Science Autonomy and the ExoMars Mission: Machine Learning to Help Find Life on Mars IEEE Computer 2021 (10); by Victoria DaPoian, Eric Lyness, William Brinckerhoff, Ryan Danell, Xiang Li, Melissa Trainer
2021	Explainable Artificial Intelligence and Machine Learning IEEE Computer 2021 (10); by M. S. Raunak, Rick Kuhn
2021	Toward Human-AI Interfaces to Support Explainability and Causability in Medical AI IEEE Computer 2021 (10); by Andreas Holzinger, Heimo Müller
2021	The Interplay of AI and Biometrics: Challenges and Opportunities IEEE Computer 2021 (9); by Christian Berghoff, Matthias Neu, Arndt von Twickel
2021	Defensive AI: The Future Is Yesterday IEEE Computer 2021 (9); by James Bret Michael, Thomas C. Wingfield
2021	Conversational Artificial Intelligence: Changing Tomorrow's Health Care Today IEEE Computer 2021 (8); by Mark Campbell, Mladan Jovanovic
2021	The Ten Commandments of Ethical Medical AI IEEE Computer 2021 (7); by Heimo Müller, Michaela Theresia Mayrhofer, Evert-Ben van Veen, Andreas Holzinger
2021	Enhancing Cybersecurity via Artificial Intelligence: Risks, Rewards, and Frameworks IEEE Computer 2021 (6); by Joshua A. Kroll, James Bret Michael, David B. Thaw
2021	Adversarial Machine Learning: Attacks From Laboratories to the Real World IEEE Computer 2021 (5); by Hsiao-Ying Lin, Battista Biggio
2021	Will We Adopt AI Like We Adopted Electricity? IEEE Computer 2021 (3); by Hsiao-Ying Lin
2021	AI Ethics: A Long History and a Recent Burst of Attention IEEE Computer 2021 (1); by Jason Borenstein, Frances S. Grodzinsky, Ayanna M. Howard, Keith W. Miller, Marty J. Wolf
2021	Can Artificial Intelligence Detect Good (or Bad) Chemistry Between People? IEEE Computer 2021 (1); by Elisabeth André
2021	Edge Artificial Intelligence Chips for the Cyberphysical Systems Era IEEE Computer 2021 (1); by Hiroshi Fuketa, Kunio Uchiyama

Computing (general) / PhD Theses

2021	Security Meets Deep Learning PhD Theses 2021 (1); by Zecheng He
2021	Towards Efficient and Effective Privacy-Preserving Machine Learning PhD Theses 2021 (1); by Lingxiao Wang
2021	Adaptive AI Algorithms for Generic Hardware and Unified Hardware Acceleration Architecture PhD Theses 2021 (1); by Feng Shi
2021	Evaluating and Understanding Adversarial Robustness in Deep Learning PhD Theses 2021 (1); by Jinghui Chen
2021	Towards Causally-Aware Machine Learning PhD Theses 2021 (1); by Trent Kyono
2021	Studying the Spatial Organizations of Chromosomes With Machine Learning PhD Theses 2021 (1); by Yangyang Hu
2021	Applied Machine Learning for Resource Provisioning of Data-Intensive Applications on Scale-Out Platforms and Its Security Challenges PhD Theses 2021 (1); by Hosein Mohammadi Makrani
2021	Disrupting Machine Learning: Emerging Threats and Applications for Privacy and Dataset Ownership PhD Theses 2021 (1); by Ivan Evtimov
2021	New AI Frameworks for Real-World Clinical Prediction PhD Theses 2021 (1); by Gabriel G. Erion
2021	Domain-Knowledge-Guided Machine Learning Towards Accurate Materials Property Prediction and Materials Discovery PhD Theses 2021 (1); by Weike Ye
2021	Efficient Resource Management for Deep Learning Clusters PhD Theses 2021 (1); by Juncheng Gu
2021	Abstracting Systems Challenges from Distributed Deep Learning PhD Theses 2021 (1); by Andrew Or
2021	Machine learning and statistical analysis of the collective behaviors of large tissues PhD Theses 2021 (1); by Julienne LaChance
2021	Improving Deep Learning Training and Inference with Dynamic Hyperparameter Optimization PhD Theses 2021 (1); by Angela H. Jiang
2021	Toward communication-efficient and secure distributed machine learning PhD Theses 2021 (1); by Cong Xie
2021	Machine learning and causality: Building efficient, and reliable models for decision-making PhD Theses 2021 (1); by Maggie Makar
2021	Understanding Deep Learning via Analyzing Dynamics of Gradient Descent PhD Theses 2021 (1); by Wei Hu
2021	Adversarially robust machine learning with guarantees PhD Theses 2021 (1); by Aditi Raghunathan
2021	Machine learning and information-theoretic approaches for financial applications PhD Theses 2021 (1); by Kelechi Moise Ikegwu
2021	Machine Learning Beyond Accuracy: A Features Perspective On Model Generalization PhD Theses 2021 (1); by Shibani Santurkar
2021	Accelerating the "Motifs" in Machine Learning on Modern Processors PhD Theses 2021 (1); by Jiyuan Zhang
2021	Developing Machine Learning and Statistical Methods for the Analysis of Genetics and Genomics PhD Theses 2021 (1); by Jiajin Li
2021	Resource-aware distributed analytics and machine learning for hybrid edge-cloud systems PhD Theses 2021 (1); by Anirban Das
2021	Machine Learning for Deep Image Manipulation PhD Theses 2021 (1); by Taesung Park
2021	Usable and Efficient Systems for Machine Learning PhD Theses 2021 (1); by Doris Xin
2021	Machine Learning Assisted Superconducting Qubit Readout PhD Theses 2021 (1); by Benjamin Lienhard
2021	Profiling Artificial Intelligence as a Material for User Experience Design PhD Theses 2021 (1); by Qian Yang
2021	Machine Learning in Physics PhD Theses 2021 (1); by Julian Collado
2021	Authorial Leverage: Artificial Intelligence for Narrative and Storytelling PhD Theses 2021 (1); by Sherol Chen
2021	Dynamical systems perspectives in machine learning PhD Theses 2021 (1); by Siddhartha Satpathi
2021	Optimization for Deep Learning: Bridging the Theory-Practice Gap PhD Theses 2021 (1); by Chulhee Yun
2021	Prediction and mechanistic dissection of transcriptional activation domains using deep learning and pooled screening PhD Theses 2021 (1); by Adrian Longson Sanborn
2021	Robust and Efficient Deep Learning for Misinformation Prevention PhD Theses 2021 (1); by Tal Schuster
2021	Deep Learning for Sensing in Complex and Dynamic Environments PhD Theses 2021 (1); by Tianwei Xing
2021	Deep Learning Algorithms for Predicting Histone Post-Translational Modificationsand Single Guide RNA CRISPR Efficiency PhD Theses 2021 (1); by Dipankar Ranjan Baisya
2021	On the Application of Machine Learning and Physical Modeling Theory to Causal Lifting Linearizations of Nonlinear Dynamical Systems with Exogenous Input and Control PhD Theses 2021 (1); by Nicholas S. Selby
2021	Theory and Algorithms for Several Central Problems in Large-Scale Machine Learning PhD Theses 2021 (1); by Dmitry Storcheus
2021	Machine Learning and Multiagent Preferences PhD Theses 2021 (1); by Ritesh Noothigattu
2021	Advancing optimization for modern machine learning PhD Theses 2021 (1); by Daniel Levy
2021	Minimalism in deep learning PhD Theses 2021 (1); by Louis Jensen
2021	Reliable Machine Learning in Feedback Systems PhD Theses 2021 (1); by Sarah Dean
2021	Machine learning based models for signal integrity analysis PhD Theses 2021 (1); by Thong Nguyen
2021	Large-scale Whole Slide Image Analysis with Deep Learning Methods to Improve Prostate Cancer Diagnosis PhD Theses 2021 (1); by Jiayun Li
2021	Memristor-based AI Hardware for Reliable and Reconfigurable Neuromorphic Computing PhD Theses 2021 (1); by Chanyeol Choi
2021	Using AI to Mitigate Variability in CT Scans: Improving Consistency in Medical Image Analysis PhD Theses 2021 (1); by Leihao Wei
2021	Machine Learning Frameworks for Data-Driven Personalized Clinical Decision Support and the Clinical Impact PhD Theses 2021 (1); by Changhee Lee
2021	Deep learning for medical image interpretation PhD Theses 2021 (1); by Pranav Rajpurkar
2021	On Design and Machine Learning Resiliency of Memristor- and eFlash-Memory-Based Strong Physical Unclonable Functions PhD Theses 2021 (1); by Shabnam Larimian
2021	Memcomputing Artificial Intelligence: Improving Learning Algorithms with Algorithms that Learn PhD Theses 2021 (1); by Haik Manukian
2021	Mining Software Artifacts for use in Automated Machine Learning PhD Theses 2021 (1); by José Pablo Cambronero Sánchez
2021	Towards Data-Efficient Machine Learning PhD Theses 2021 (1); by Qizhe Xie
2021	Deep Learning in Medical Image Analysis PhD Theses 2021 (1); by Hao Tang
2021	Machine Learning Parallelism Could Be Adaptive, Composable and Automated PhD Theses 2021 (1); by Hao Zhang
2021	Machine Learning Techniques for Rare Failure Detection in Analog and Mixed-Signal Verification and Test PhD Theses 2021 (1); by Hanbin Hu
2021	Machine Learning Towards Large-scale Atomistic Simulation and Materials Discovery PhD Theses 2021 (1); by Yunxing Zuo
2021	Generalization and Adaptation of Deep Learning Models for Semantic Segmentation PhD Theses 2021 (1); by Xueqing Deng
2021	Combining Deep Learning with Reasoning: from Mapping Species to Solving Games and Crystal Structures PhD Theses 2021 (1); by Di Chen
2021	Improving Performance of Solid State Drives (SSDs) Using Machine Learning PhD Theses 2021 (1); by Chandranil Chakraborttii
2021	Towards Ubiquitous Serverless Computing: Fast Large-Scale Machine Learning and Optimal Pricing for the Cloud PhD Theses 2021 (1); by Vipul Gupta
2021	Measuring and enhancing the security of machine learning PhD Theses 2021 (1); by Florian Tramèr
2021	New Outliers Removal and Machine Learning Augmented Algorithms PhD Theses 2021 (1); by Mahshid Montazer Qaem
2021	Understanding and Measuring Privacy Risks in Machine Learning PhD Theses 2021 (1); by Liwei Song
2021	Real-Time Cost-Aware Machine Learning at the Edge PhD Theses 2021 (1); by Orpaz Goldstein
2021	Elastic Machine Learning Systems with Co-adaptation PhD Theses 2021 (1); by Aurick Qiao
2021	Towards Robust Models in Deep Learning: Regularizing Neural Networks and Generative Models PhD Theses 2021 (1); by Ruying Bao
2021	Machine Learning, Virtual Reality, and Biomechanical Simulation to Aid Physical Rehabilitation PhD Theses 2021 (1); by Michael Powell
2021	Deep Learning for Variance Reduction in Monte Carlo Rendering PhD Theses 2021 (1); by Steve Bako
2021	Applying Deep Learning on Financial Sentiment Analysis PhD Theses 2021 (1); by Cuiyuan Wang
2021	Tools for responsible decision-making in machine learning PhD Theses 2021 (1); by Bashir Rastegarpanah
2021	Finite precision deep learning with theoretical guarantees PhD Theses 2021 (1); by Charbel Sakr
2021	Scalable Machine Learning Algorithms for Biological Sequence Data PhD Theses 2021 (1); by Jeffrey Chan
2021	Deep Learning Models for Clinical Data: Addressing Task Specific Structure PhD Theses 2021 (1); by Jeeheh Oh
2021	Positive AI with Social Commonsense Models PhD Theses 2021 (1); by Maarten Sap
2021	Optimizing Cloud AI Platforms: Resource Allocation and Market Design PhD Theses 2021 (1); by Yu Su
2021	Numerical Algorithm in Machine Learning and Data Analysis PhD Theses 2021 (1); by Bo Li
2021	Influence-directed Explanations for Machine Learning PhD Theses 2021 (1); by Shayak Sen
2021	Machine Learning-Assisted Resource Management in Edge Computing Systems PhD Theses 2021 (1); by Zhihui Shao
2021	Machine Learning and Solvation Theory for Drug Discovery PhD Theses 2021 (1); by Lieyang Chen
2021	Towards Trustworthy Geometric Deep Learning for Elastoplasticity PhD Theses 2021 (1); by Nikolaos Vlassis
2021	Machine learning under limited resources PhD Theses 2021 (1); by Pengkai Zhu
2021	Advances in Deep Space Exploration via Simulators and Machine Learning PhD Theses 2021 (1); by James Bird
2021	Applications of Data Science and Artificial Intelligence to Decision Making in Healthcare and Finance PhD Theses 2021 (1); by Chi Heem Wong
2021	Predicting, Engineering and Interpreting Gene Regulatory Sequences and Proteins with Deep Learning PhD Theses 2021 (1); by Johannes Linder
2021	Robot Learning from Interactions with Physics-realistic Environment: Constructing Big Task Platform for Training AI Agents PhD Theses 2021 (1); by Xu Xie
2021	Application-driven Intersections between Information Theory and Machine Learning PhD Theses 2021 (1); by Litian Liu
2021	Automated Extraction of Glacial Features using Deep Learning PhD Theses 2021 (1); by Daniel Lop-Chi Cheng
2021	Building Trustworthy Machine Learning Models PhD Theses 2021 (1); by Xuanqing Liu
2021	Resource-efficient execution of deep learning computations PhD Theses 2021 (1); by Deepak Narayanan
2021	Differentiable Implicit Soft-Body Physics for Machine Learning PhD Theses 2021 (1); by Junior Rojas
2021	Bounds and Applications of Concentration of Measure in Fair Machine Learning and Data Science PhD Theses 2021 (1); by Cyrus Cousins
2021	Enabling Automated, Conversational Health Coaching with Human-Centered Artificial Intelligence PhD Theses 2021 (1); by Elliot G. Mitchell
2021	Resource and data efficient deep learning PhD Theses 2021 (1); by Cody Coleman
2021	Uncovering the Structure of Animal Behavior via Deep Learning PhD Theses 2021 (1); by Talmo D. Pereira
2021	Empowering deep learning with graphs PhD Theses 2021 (1); by Jiaxuan You
2021	TEACHING OLD COMPUTER VISION ALGORITHMS NEW TRICKS WITH MACHINE LEARNING PhD Theses 2021 (1); by Charles Herrmann
2021	Deep Learning Methods for High-Resolution Functional Annotation and Discovery of Novel Connections Between Gene Sets PhD Theses 2021 (1); by Hao Chen
2021	On-device Deep Learning For Security PhD Theses 2021 (1); by Zainul Din
2021	Sampling-based Algorithms for Fast and Deployable AI PhD Theses 2021 (1); by Cenk Baykal
2021	Matrix factorization and Deep Learning in Scientific Domains: Understanding When and Why It Works PhD Theses 2021 (1); by Nils Johan Bertil Bjorck
2021	Co-design ofAlgorithms, Hardware, and Scheduling for Deep Learning Applications PhD Theses 2021 (1); by Qijing Huang
2021	Efficient Deep Learning: From Theory to Practice PhD Theses 2021 (1); by Lucas Liebenwein
2021	From the machine mind to the human mind: using machine learning to understand (ir)rationality, bias and polarization in human beings PhD Theses 2021 (1); by Chen Chen 0121
2021	Instrumented Footwear and Machine Learning for Gait Analysis and Training PhD Theses 2021 (1); by Antonio Prado
2021	Scaling Laws for Deep Learning PhD Theses 2021 (1); by Jonathan S. Rosenfeld
2021	Contributions to multi-atlas and deep learning approaches for muscle segmentation in multi-parametric quantitative MRI longitudinal studies. (Contributions aux approches multi-atlas et d'apprentissage profond pour la segmentation des muscles : application à l'étude longitudinale multi-paramétrique quantitative en IRM) PhD Theses 2021 (1); by Hoai-Thu Nguyen
2021	Green artificial intelligence to automate medical diagnosis with low energy consumption. (L'intelligence artificielle verte pour automatiser le diagnostic médical avec une faible consommation d'énergie) PhD Theses 2021 (1); by John Anderson García Henao
2021	Robust and privacy preserving distributed machine learning. (Apprentissage automatique distribué robuste et respectueux de la vie privée) PhD Theses 2021 (1); by Rania Talbi
2021	Machine learning for beam alignment in mmWave networks. (Apprentissage automatique pour l'alignement des faisceaux dans les réseaux à onde millimétrique) PhD Theses 2021 (1); by Irched Chafaa
2021	Gestion des contributions architecturales dans les projets logiciels: Métriques, analyses empiriques et apprentissage machine. (Managing architectural contributions in software projects: Metrics, empirical analysis and machine learning) PhD Theses 2021 (1); by Quentin Perez
2021	Reduced models via machine learning to analyse the criticality of defects. (Modèles réduits par apprentissage automatique pour l'étude de la nocivité de défauts) PhD Theses 2021 (1); by Hugo Launay
2021	A study of machine learning and deep learning methods and their application to medical imaging. (Une étude des méthodes d'apprentissage automatique et d'apprentissage profond et de leur application à l'imagerie médicale) PhD Theses 2021 (1); by David Wallis
2021	Approches d'apprentissage profond pour la détection en couche physique de télécommunications multi-accès. (Deep learning based approaches for detection in physical layer wireless multiple access) PhD Theses 2021 (1); by Cyrille Morin
2021	Apprentissage profond pour la segmentation et la détection automatique en imagerie multi-modale : application à l'oncologie hépatique. (Deep learning for automatic segmentation and detection in multi-modal imaging : application to hepatic oncology) PhD Theses 2021 (1); by Vincent Couteaux
2021	Méthodes de vision et d'apprentissage profond appliquées à la surveillance maritime. (Vision and deep learning methods applied to maritime surveillance) PhD Theses 2021 (1); by Vincent Marié
2021	Gradient-enriched machine learning control exemplified for shear flows in simulations and experiments. (Contrôle par apprentissage automatique et méthodes de gradient appliqué aux écoulements cisaillés numériques et expérimentaux) PhD Theses 2021 (1); by Guy Y. Cornejo Maceda
2021	Solving repeated optimization problems by Machine Learning. (Utilisation de méthodes d'apprentissage pour la résolution de problèmes répétés d'optimisation) PhD Theses 2021 (1); by Marc Etheve
2021	Improving the inventive design process by using agile methods and machine learning algorithms. (Amélioration du processus de la conception inventive par l'utilisation de méthodes agiles et d'algorithmes d'apprentissage automatique) PhD Theses 2021 (1); by Masih Hanifi
2021	Deep learning for Internet of Things (IoT) network security. (Apprentissage profond (deep learning) pour la sécurité des réseaux d'objets connectés (IoT)) PhD Theses 2021 (1); by Mustafizur Rahman Shahid
2021	Data analysis for railway network monitoring: Artificial intelligence in the service of the railways sector. (Analyse des données pour la surveillance de la voie ferrée: L'intelligence artificielle au service du ferroviaire) PhD Theses 2021 (1); by Alain Rivero
2021	machine learning for modeling dynamic stochastic systems: application to adaptive control on deep-brain stimulation. (Apprentissage automatique pour la modélisation de systèmes stochastiques dynamiques: application au contrôle adaptatif sur la stimulation cérébrale profonde) PhD Theses 2021 (1); by Rémi Souriau
2021	Dimensionality Reduction of Biomedical Tumor Profiles : a Machine Learning Approach. (Réduction de la dimensionnalité des profils tumoraux biomédicaux : une approche d'apprentissage automatique) PhD Theses 2021 (1); by Martin Palazzo
2021	Kinship verification between two people by machine learning. (Vérification de la parenté entre deux personnes par aprentissage automatique) PhD Theses 2021 (1); by Oualid Laiadi
2021	Machine learning approaches to rank news feed updates on social media. (Approches d'apprentissage automatique pour le tri des fils d'actualité sur les réseaux sociaux) PhD Theses 2021 (1); by Sami Belkacem
2021	Deep learning for automatic detection and quantification of the disease areas of the myocardium from DE-MRI after myocardial infarction. (Apprentissage profond pour la détection et la quantification automatiques des zones pathologiques du myocarde à partir de l'IRM DE après un infarctus) PhD Theses 2021 (1); by Zhihao Chen
2021	Single-pixel imaging: compressed video acquisition and reconstruction using Deep learning. (Imagerie mono-pixel: acquisition comprimée de vidéos et reconstruction par apprentissage profond) PhD Theses 2021 (1); by Antonio Lorente Mur
2021	Interpretable machine learning for CLAS12 data analysis. (Machine learning interprétable pour l'analyse de données à CLAS12) PhD Theses 2021 (1); by Noëlie Cherrier
2021	Prédiction des intentions des véhicules pour la conduite autonome en utilisant l'intelligence artificielle. (Predicting vehicle intentions for autonomous driving using artificial intelligence) PhD Theses 2021 (1); by Abdelmoudjib Benterki
2021	Deep learning methods for visual content creation and understanding. (Les méthodes d'apprentissage profond pour la création et la compréhension du contenu visuel) PhD Theses 2021 (1); by Othman Sbai
2021	Deep learning for light field view synthesis from monocular and a very sparse set of input views. (Apprentissage profond pour la synthèse de vues de champs de lumière dans un cadre monoculaire et pour un faible nombre de vues d'entrée) PhD Theses 2021 (1); by Simon Evain
2021	Packing detection and classification relying on machine learning to stop malware propagation. (Détection et classification d'empaquetage s'appuyant sur l'apprentissage automatique pour contrer la propagation des logiciels malveillants) PhD Theses 2021 (1); by Lamine Noureddine
2021	Machine Learning for Automatic Machine-to-Machine (M2M) Communication in 5G. (Apprentissage Automatique pour la Communication Machine à Machine (M2M) Autonome dans la 5G) PhD Theses 2021 (1); by Seifeddine Messaoud
2021	Machine Learning Methods for UAV-aided Wireless Networks. (Méthodes d'apprentissage automatique pour l'utilisation des drones dans les réseaux sans-fil) PhD Theses 2021 (1); by Harald Bayerlein
2021	Clustering et apprentissage profond sous contraintes pour l'analyse de séries temporelles: application à l'analyse temporelle incrémentale en télédétection. (Constrained clustering and deep learning for time series analysis: with application to incremental temporal analysis for remote sensing) PhD Theses 2021 (1); by Baptiste Lafabregue
2021	Prédiction d'alarmes dans les réseaux via la recherche de motifs spatio-temporels et l'apprentissage automatique. (Alarm prediction in networks via space-time pattern matching and machine learning) PhD Theses 2021 (1); by Achille Salaün
2021	End-to-End Deep Learning and Subgroup discovery approaches to learn from metagenomics data. (Approches basées sur les réseau de neurones et la découverte de sous-groupes pour l'apprentissage machine à partir à partir de données métagénomiques) PhD Theses 2021 (1); by Maxence Queyrel
2021	Verification and validation of Machine Learning techniques. (Vérification et validation de techniques d'apprentissage machine) PhD Theses 2021 (1); by Julien Girard-Satabin
2021	Optimization and Acceleration of HEVC and VVC Video CompressionStandards Using Artificial Intelligence on Parallel Processing Platforms. (Optimisation et Accélération des Normes de Compression VidéoHEVC et VVC utilisant l'Intelligence Artificielle sur des Plateformesde Traitement Parallèle) PhD Theses 2021 (1); by Soulef Bouaafia
2021	Simulation et apprentissage machine pour l'analyse d'images de cellules uniques basée sur la microscopie à fluorescence en microfluidique. (Simulation and machine learning for image analysis of single cells based on fluorescence microscopy in microfluidics) PhD Theses 2021 (1); by Ali Ahmad
2021	Méthodes d'apprentissage automatique pour l'analyse de corpus jurisprudentiels. (Machine learning methods for the analysis of jurisprudential corpus) PhD Theses 2021 (1); by Charles Condevaux
2021	Contributions to statistics and machine learning for physics-based attack detection in industrial systems. (Contributions aux statistiques et méthodes d'apprentissage automatique pour la détection d'attaques basée sur la physique dans les systèmes industriels) PhD Theses 2021 (1); by Guillaume Ansel
2021	Deep Learning for Temporal Multidimensional Signals - an application to Transport Mode Detection. (Apprentissage profond pour les signaux temporels multi-dimensionnels - application à la détection du mode de transport) PhD Theses 2021 (1); by Hugues Moreau
2021	Multi-view image-based editing and rendering through deep learning and optimization. (Édition et rendu à base d'images multi-vues par apprentissage profond et optimisation) PhD Theses 2021 (1); by Julien Philip
2021	Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer's disease from neuroimaging data. (Méthodes d'apprentissage profond reproductibles et interprétables pour le diagnostic, le pronostic et l'identification de sous-groupes de la maladie d'Alzheimer à partir de données de neuroimagerie) PhD Theses 2021 (1); by Elina Thibeau-Sutre
2021	Semantic segmentation of 3D medical images with deep learning. (Segmentation sémantique d'images médicales 3D par deep learning) PhD Theses 2021 (1); by Olivier Petit
2021	Apprentissage profond faiblement supervisé et semi-supervisé pour la détection d'évènements sonores. (Weakly supervised and semi-supervised deep learning for sound event detection) PhD Theses 2021 (1); by Léo Cances
2021	Discοvering, expliciting, and handling semantical relatiοnships using deep learning οn variοus, large databases οf varying trustwοrthiness. (Découverte, explicitation et gestion de relations sémantiques par apprentissage profond sur base d'informations variée, volumineuse et de véracité variable : application au renseignement) PhD Theses 2021 (1); by Jacques Everwyn
2021	Deep Learning for Near-duplicated Patterns Discovery and Alignment in Artworks. (Apprentissage en profondeur pour la découverte et l'alignement de motifs quasi-dupliqués dans les œuvres d'art) PhD Theses 2021 (1); by Xi Shen
2021	Deep learning architectures for automatic detection of viable myocardiac segments. (Architectures d'apprentissage profond pour la détection automatique de segments myocardiques viables) PhD Theses 2021 (1); by Khawla Brahim
2021	Apprentissage automatique pour l'aide au diagnostic précoce du cancer du sein. (Deep learning for computer-aided early diagnosis of breast cancer) PhD Theses 2021 (1); by Mickael Tardy
2021	Bridging Deep Learning and Classical Profiled Side-Channel Attacks. (Rapprochement de l'apprentissage profond et des attaques par canaux auxiliaires) PhD Theses 2021 (1); by Gabriel Zaid
2021	Heavy-tailed nature of stochastic gradient descent in deep learning : theoretical and empirical analysis. (Nature à queue lourde de l'algorithme du gradient stochastique en apprentissage profond : analyse théorique et empirique) PhD Theses 2021 (1); by Thanh Huy Nguyen
2021	Apprentissage profond et IA pour l'amélioration de la robustesse des techniques de localisation par vision artificielle. (Deep learning and AI for improving the robustness of machine vision localization techniques) PhD Theses 2021 (1); by Achref Elouni
2021	Urban mobility: Leveraging machine learning and data masses for the building of simulators. (Mobilité urbaine: apprentissage automatique pour la construction de simulateurs à l'aide de masses de données) PhD Theses 2021 (1); by Gauthier Lyan
2021	Characterization of Pseudo CT From MRI With Deep Learning : Application to Brain Tumors Treated With Radiotherapy. (Caractérisation de pseudo CT générés à partir d'images IRM à l'aide de méthodes deep learning : application aux tumeurs cérébrales traitées par radiothérapie) PhD Theses 2021 (1); by Emilie Alvarez Andres
2021	Méthodes d'apprentissage profond pour l'estimation de paramètres météorologiques à partir d'images webcam. Applications au suivi des épisodes de neige en plaine. (Deep learning methods for the estimation of meteorological parameters from webcam images. Application for the characterization of snow events in lowlands) PhD Theses 2021 (1); by Pierre Lepetit
2021	Deep learning and optimal transport: learning from one another. (Apprentissage profond et transport optimal: apprendre l'un de l'autre) PhD Theses 2021 (1); by Kilian Fatras
2021	Deep learning based trajectory prediction for autonomous vehicles. (Prédiction de trajectoires pour les véhicules autonomes) PhD Theses 2021 (1); by Kaouther Messaoud
2021	Deep learning approaches for neurological disorders detection based on brain activity analysis. (Approches d'apprentissage en profondeur pour la détection des troubles neurologiques basée sur l'analyse de l'activité cérébrale) PhD Theses 2021 (1); by Asma Baghdadi
2021	Deep Learning for Outcome Prediction in Cancer using Positron Emission Tomography Images. (Apprentissage profond pour la prédiction de la réponse au traitement et la survie en cancérologie en imagerie TEP) PhD Theses 2021 (1); by Amine Amyar
2021	Machine learning algorithms for dynamic Internet of Things. (Algorithmes d'apprentissage machine appliqués au contexte dynamique de l'internet des objets) PhD Theses 2021 (1); by Dihia Boulegane
2021	Advanced Linear and Deep Learning based Channel Estimation Techniques in Doubly Dispersive Environments. (Techniques avancées d'estimation linéaire et d'apprentissage profond du canal dans des environnements doublement dispersifs) PhD Theses 2021 (1); by Abdul Karim Gizzini
2021	Deep Learning for 3D Meshes. (Apprentissage profond pour les maillages 3D) PhD Theses 2021 (1); by Nitika Verma
2021	Designing and evaluating anonymization techniques for images and relational data streams via Machine Learning approaches at BMW Group. (Conception et évaluation de techniques d'anonymisation des images et des flux de données relationnels via des approches d'apprentissage automatique à BMW Group) PhD Theses 2021 (1); by Jimmy Tekli
2021	Implicit and explicit phase modeling in deep learning-based source separation. (Modélisation implicite et explicite de la phase dans la séparation de sources par apprentissage profond) PhD Theses 2021 (1); by Manuel Pariente
2021	Modeling Physical Processes with Deep Learning: A Dynamical Systems Approach. (Modélisation de Processus Physique avec de l'Apprentissage Profond) PhD Theses 2021 (1); by Emmanuel de Bézenac
2021	Medical image analysis with deep learning for computer-aided diagnosis in screening. (Analyse d'images médicales par apprentissage profond pour le diagnostic assisté par ordinateur dans un contexte de dépistage) PhD Theses 2021 (1); by Yutong Yan
2021	Deep Learning End-to-end Person Search and Multiple Pedestrian Tracking. (Apprentissage profond de bout-en-bout pour la ré-identification et le suivi de personnes) PhD Theses 2021 (1); by Ronghua Hu
2021	2D and 3D Geometric Attributes Estimation in Images via deep learning. (Estimation d'attributs Géométriques 2D et 3D dans des Images par Apprentissage Profond) PhD Theses 2021 (1); by Xuchong Qiu
2021	Investigation of deep learning methods for classification and segmentation of chromosome and pulmonary images. (Etude des méthodes d'apprentissage profond pour la classification et la segmentation des chromosome et des images pulmonaires) PhD Theses 2021 (1); by Yulei Qin
2021	Apprentissage profond en traitement d'images: application pour la détection de fumée et feu. (Deep learning in image processing: application to smoke and fire detection) PhD Theses 2021 (1); by Sébastien Frizzi
2021	Traitements sécurisés de données compressées : application à l'apprentissage automatique et aux implants connectés. (Secure compressed data processing : Application to machine learning and connected implants) PhD Theses 2021 (1); by Maxime Pistono
2021	Advanced Random Matrix Methods for Machine Learning. (Méthodes avancées de la théorie des matrices aléatoires pour l'apprentissage automatique) PhD Theses 2021 (1); by Malik Tiomoko
2021	Privacy-preserving machine learning techniques. (Apprentissage automatique et confidentialité des données) PhD Theses 2021 (1); by Beyza Bozdemir
2021	Machine Learning for Performance Modelling on Colossal Software Configuration Spaces. (Apprentissage machine pour la modélisation de performances sur des espaces de configuration logiciels colossaux) PhD Theses 2021 (1); by Hugo Martin
2021	Deep learning-based methods for 3D medical image registration. (Méthodes d'apprentissage profond pour le recalage 3d d'images médicales) PhD Theses 2021 (1); by Théo Estienne
2021	On the role of Actions and Machine Learning in Artificial Agent Perception. (Du rôle des Actions et de l'Apprentissage Automatique dans la Perception des Agents Artificiels) PhD Theses 2021 (1); by Hugo Caselles-Dupré
2021	Contribution to the development of a methodology coupling natural language processing and machine learning to react to production disturbances. (Contribution à la définition d'une méthodologie couplant le traitement automatique du langage naturel et l'apprentissage automatique pour réagir aux perturbations de production) PhD Theses 2021 (1); by Juan Pablo Usuga Cadavid
2021	Deep learning for spatio-temporal forecasting - application to solar energy. (Apprentissage profond pour la prédiction spatio-temporelle - application à l'énergie solaire) PhD Theses 2021 (1); by Vincent Le Guen
2021	Towards Reduced Dose Positron Emission Tomography Imaging Using Sparse Sampling and Machine Learning. (Tomographie par Émission de positron à faible dose par échantillonnage d'Images et apprentissage automatique) PhD Theses 2021 (1); by Ramiro Germán Rodríguez Colmeiro
2021	Machine Learning Models for Multimodal Detection of Anomalous Behaviors. (Modèles d'apprentissage automatique pour la détection multimodale de comportements anormaux) PhD Theses 2021 (1); by Valentin Durand De Gevigney
2021	New hardware platform-based deep learning co-design methodology for CPS prototyping : Objects recognition in autonomous vehicle case-study. (Nouvelle méthodologie de co-conception pour de l'apprentissage en profondeur basée sur une plate-forme matérielle pour le prototypage de SCP : reconnaissance d'objets dans une étude de cas de véhicule autonome) PhD Theses 2021 (1); by Quentin Cabanes
2021	Contributions to distributed multi-task machine learning. (Contributions à l'apprentissage machine distribué multitâche) PhD Theses 2021 (1); by Amaury Bouchra Pilet
2021	Understanding and improving HPC performance using Machine Learning and Statistical analysis. (Comprendre et améliorer les performances du système HPC à l'aide de l'apprentissage automatique et de l'analyse statistique) PhD Theses 2021 (1); by Salah Zrigui
2021	Deep learning algorithms for high-throughput cereal plant and organ identification. (Algorithmes d'apprentissage profond pour l'identification à haut débit des plantes et organes de céréales) PhD Theses 2021 (1); by Kaaviya Velumani
2021	Machine Learning approaches in Predictive Medicine using Electronic Health Records data. (Approches d'apprentissage automatique en médecine prédictive à l'aide des données des dossiers médicaux électroniques) PhD Theses 2021 (1); by Michele Bernardini
2021	Atmospheric pollutant dispersion estimation at the scale of the neighborhood using sensors, numerical and deep learning models. (Estimation de la dispersion des polluants atmosphériques à l'échelle du quartier à l'aide de capteurs, des modèles numériques et d'apprentissage profond) PhD Theses 2021 (1); by Xavier Jurado
2021	Étude des Techniques de Deep Learning en Reconnaissance Automatique du Locuteur. (Study of Deep Learning Techniques in Automatic Speaker Recognition) PhD Theses 2021 (1); by Soufiane Hourri
2021	Techniques d'apprentissage pour le contrôle adaptatif multi-niveaux du calcul distribué. (Machine learning techniques for multi-level and adaptive control in distributed compute systems) PhD Theses 2021 (1); by Maxime Mirka
2021	Spatiotemporal machine learning on scanner-free body surface potential imaging aided by multiscale modeling for personalized atrial fibrillation treatment. (Apprentissage automatique spatiotemporel sur l'imagerie du potentiel de surface corporelle sans scanner aidé par la modélisation multi-échelle pour la personnalisation du traitement de la fibrillation auriculaire) PhD Theses 2021 (1); by Yingjing Feng
2021	Toward interpretable machine learning, with applications to large-scale industrial systems data. (Contributions à l'apprentissage automatique interprétable : applications aux données de systèmes industriels à grande échelle) PhD Theses 2021 (1); by Graziano Mita
2021	Optimizing machine learning techniques for genomics clustering. (Optimisation des techniques d'apprentissage automatique pour le clustering génomique) PhD Theses 2021 (1); by Johny Matar
2021	Deep learning in MR-guided radiotherapy. (Radiothérapie guidée par IRM via réseaux de neurones profonds) PhD Theses 2021 (1); by Kévin Brou Boni
2021	Prédiction de l'efficacité de la chimiothérapie appliquée au cancer du sein par le traitement d'images et le Deep Learning. (Predicting the Breast Cancer response to Chemotherapy by Image Processing and Deep Learning) PhD Theses 2021 (1); by Mohammed El Adoui
2021	Machine Learning sur les séries temporelles et applications à la prévision des ventes pour l'E-Commerce. (Machine Learning for times series and application to E-Commerce sales forecasts) PhD Theses 2021 (1); by Rémy Garnier
2021	Dimensioning cellular IoT network using stochastic geometry and machine learning techniques. (Dimensionnement d'un réseau cellulaire IoT en utilisant des techniques de géométrie stochastique et d'apprentissage automatique) PhD Theses 2021 (1); by Tuan Anh Nguyen
2021	Inverse Dynamic Modeling of Cloth - Deep Learning using Physics based Simulations. (Modélisation dynamique inverse de tissus - Apprentissage profond à l'aide de simulations basées sur la physique) PhD Theses 2021 (1); by Abdullah Haroon Rasheed
2021	Data-driven Management Solution for Microservice-based Deep Learning Applications. (Solution de gestion pilotée par les données pour les applications Deep Learning basées sur des microservices) PhD Theses 2021 (1); by Zeina Houmani
2021	Intelligent system using machine learning techniques for security assessment and cyber intrusion detection. (Système intelligent basé sur des techniques de l'apprentissage automatique pour l'évaluation de la sécurité et la détection des cyber-intrusions) PhD Theses 2021 (1); by Abdel Karim Kassem
2021	Exploring Data Fusion for Multi-Object Detection for Intelligent Transportation Systems using Deep Learning. (Exploration de la fusion de données pour la détection d'objets multiples dans les systèmes de transport intelligents à l'aide de l'apprentissage profond) PhD Theses 2021 (1); by Amira Mimouna
2021	Deep Learning for 3D Shape Modelling. (Deep learning pour la modélisation de formes 3D) PhD Theses 2021 (1); by Roman Klokov
2021	Enhancing the traceability of B2B logistic chains using blockchain, IoT and Deep Learning. (Amélioration de la traçabilité des chaînes logistiques B2B à l'aide de la blockchain, de l'IoT et du Deep Learning) PhD Theses 2021 (1); by Mohamed Ahmed Mohamed
2021	Machine Learning for the distributed and dynamic management of a fleet of taxis and autonomous shuttles. (Machine Learning pour la gestion distribuée et dynamique d'une flotte de taxis et navettes autonomes) PhD Theses 2021 (1); by Tatiana Babicheva
2021	Study of machine learning methods for optimization and reliability improvements of high power linacs. (Etude de la modélisation des accélérateurs de particules par des méthodes de «machine learning» pour optimiser et fiabiliser l'opération d'un linac de forte puissance) PhD Theses 2021 (1); by Mathieu Debongnie
2021	Image segmentation and registration using machine learning for brain shift compensation in image-guided neurosurgery. (Segmentation et recalage d'images avec machine learning pour la compensation du brain shift en neurochirurgie guidée par image) PhD Theses 2021 (1); by François-Xavier Carton
2021	Data-driven AI techniques for fashion and apparel retailing. (Techniques d'IA axées sur les données destinées au secteur de la mode et de l'habillement) PhD Theses 2021 (1); by Chandadevi Giri
2021	Continuous embeddings for large-scale machine learning with DNA sequences. (Représentations pour l'apprentissage statistique à grande échelle en génomique) PhD Theses 2021 (1); by Romain Menegaux
2021	Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications. (Efficience et redondance dans les modèles d'apprentissage profond : considérations théoriques et applications pratiques) PhD Theses 2021 (1); by Pierre Stock
2021	Robust and scalable probabilistic machine learning methods with applications to the airline industry. (Méthodes d'apprentissage automatique probabilistes, robustes et à grande échelle avec des applications à l'industrie aérienne) PhD Theses 2021 (1); by Rosa Candela
2021	Automated Deep Learning : Principles and Practice. (Apprentissage profond automatisé : principes et pratique) PhD Theses 2021 (1); by Zhengying Liu
2021	Contributions to Optimal Transport for Machine Learning: Ground Metric and Generalized Framework. (Contributions au Transport Optimal pour l'Apprentissage Machine : Métrique de Terrain et Cadre Généralisé) PhD Theses 2021 (1); by Tanguy Kerdoncuff
2021	Approximate computing for embedded machine learning. (Calcul approximatif pour l'apprentissage automatique embarqué) PhD Theses 2021 (1); by Xuecan Yang
2021	Machine learning for intrusion detection systems in autonomous transportation. (Apprentissage automatique pour la détection d'intrusion dans les systèmes du transport intelligent) PhD Theses 2021 (1); by Elies Gherbi
2021	Radiomics and Artificial Intelligence Applied to Conventional MRI: Towards Personalized Treatment of Brain Tumors. (Radiomique et intelligence artificielle appliquées à l'imagerie IRM anatomique: vers un traitement personnalisé des tumeurs cérébrales) PhD Theses 2021 (1); by Alexandre Carré
2021	Analyse de données RMN multimodales par intelligence artificielle pour la discrimination binaire du grade du gliome. (Multimodal NMR data analysis for binary glioma grade classification using artificial intelligence) PhD Theses 2021 (1); by Paul Dequidt
2021	Deep learning methods for motor imagery detection from raw EEG : applications to brain-computer interfaces. (Méthodes d'apprentissage en profondeur pour la détection d'imagerie motrice à partir de l'EEG filtré : applications aux interfaces cerveau-ordinateur) PhD Theses 2021 (1); by Oleksii Avilov
2021	Deep learning methods for music style transfer. (Méthodes d'apprentissage profond pour le transfert de style musical) PhD Theses 2021 (1); by Ondrej Cífka
2021	Classification of multimodal MRI images using Deep Learning : Application to the diagnosis of Alzheimer's disease. (Classification des images IRM multimodales par l'apprentissage profond : Application au diagnostique de la maladie d'Alzheimer) PhD Theses 2021 (1); by Karim Aderghal
2021	Object detection and traffic prediction using Deep Learning on compressed road images and videos. (Détection d'objets et prédiction du trafic routier à l'aide de l'apprentissage profond sur des images et des vidéos compressées de scènes routières) PhD Theses 2021 (1); by Benjamin Deguerre
2021	Méthodes d'apprentissage automatique pour la prise en compte du bruit dans les images de synthèse. (Machine learning methods for noise detection in computer generated images) PhD Theses 2021 (1); by Jérôme Buisine
2021	Deep Learning Anomaly Detection for Drone-based Surveillance. (Détection d'anomalies par apprentissage profond pour la surveillance par drone) PhD Theses 2021 (1); by Slim Hamdi
2021	Extracting human characteristics from motion using machine learning: the case of identity in Sign Language. (Extraction de caractéristiques humaines dans le mouvement par apprentissage automatique: l'exemple de l'identité en Langue des Signes) PhD Theses 2021 (1); by Félix Bigand
2021	Apports des méthodes d'apprentissage profond pour la reconnaissance automatique des modes d'occupation des sols et d'objets par télédétection en milieu tropical. (Contributions of deep learning methods for automatic recognition ofland use and land cover patterns and objects by remote sensing intropical environments) PhD Theses 2021 (1); by Guillaume Rousset
2021	Spectro-imagerie et apprentissage profond: application à la détection de maladies de plantes. (Spectral imaging and deep learning: an application to plant disease detection) PhD Theses 2021 (1); by Clément Douarre
2021	Deep Learning in Adversarial Context. (Apprentissage profond dans un contexte adversaire) PhD Theses 2021 (1); by Hanwei Zhang
2021	Probabilistic segmentation modelling and deep learning-based lung cancer screening. (Modèles probabilistes pour la segmentation d'images et dépistage du cancer du poumon par apprentissage profond) PhD Theses 2021 (1); by Benoît Audelan
2021	Machine learning for large observational datasets in healthcare. (Apprentissage automatique pour les bases de données de santé massives) PhD Theses 2021 (1); by Maryan Morel
2021	Informed audio source separation with deep learning in limited data settings. (Séparation de sources audio informée par apprentissage profond avec des données limitées) PhD Theses 2021 (1); by Kilian Schulze-Forster
2021	Integrating geometry-based ego-motion estimation processes with deep learning. (Intégration des processus d'estimation de l'ego-motion basés sur la géométrie avec l'apprentissage profond) PhD Theses 2021 (1); by Andrea De Maio
2021	Prédiction de situations anormales par apprentissage automatique pour la maintenance prédictive : approches en transport optimal pour la détection d'anomalies. (Prediction of abnormal situations by machine learning in a predictivemaintenance context : Optimal transport theory for anomaly detection) PhD Theses 2021 (1); by Amina Alaoui-Belghiti
2021	How can data science contribute to a greener world?: an exploration featuring machine learning and data mining for environmental facilities and energy end users PhD Theses 2021 (1); by Dong Wang
2021	Synergies between Chemometrics and Machine Learning PhD Theses 2021 (1); by Rickard Sjögren
2021	Towards Privacy Preserving Micro-data Analysis: A machine learning based perspective under prevailing privacy regulations PhD Theses 2021 (1); by Navoda Senavirathne
2021	Designing with Machine Learning in Digital Pathology: Augmenting Medical Specialists through Interaction Design PhD Theses 2021 (1); by Martin Lindvall
2021	Integrating domain knowledge into deep learning: Increasing model performance through human expertise PhD Theses 2021 (1); by Niclas Ståhl
2021	Artificial Intelligence for Non-Contact-Based Driver Health Monitoring PhD Theses 2021 (1); by Hamidur Rahman
2021	Deep Learning on Graphs: Theory, Models, Algorithms and Applications PhD Theses 2021 (1); by Renjie Liao
2021	Machine learning-based approaches to data quality improvement in mobile crowdsensing and crowdsourcing PhD Theses 2021 (1); by Jinghan Jiang
2021	Unsupervised machine learning for hypothesis discovery and representation learning in biological image and sequence analysis PhD Theses 2021 (1); by Alex Lu
2021	Explaining black box algorithms: epistemological challenges and machine learning solutions PhD Theses 2021 (1); by David S. Watson
2021	Machine learning for money laundering risk detection in online gambling PhD Theses 2021 (1); by C. Charitou
2021	Bearicade: a novel high-performance computing user and security management system augmented with machine learning technology PhD Theses 2021 (1); by Taha Al-Jody
2021	Applying artificial intelligence planning to optimise heterogeneous signal processing for surface and dimensional measurement systems PhD Theses 2021 (1); by Ashley Cusack
2021	Intrusion Detection Systems using Machine Learning and Deep Learning techniques PhD Theses 2021 (1); by Hanan Hindy
2021	Deep learning for structural health monitoring PhD Theses 2021 (1); by Arya Pamuncak
2021	Automated echocardiographic image interpretation using artificial intelligence PhD Theses 2021 (1); by Neda Azarmehr
2021	Application of machine learning within visual content production PhD Theses 2021 (1); by Daniele Giunchi
2021	Ensemble machine learning for individual stock investment PhD Theses 2021 (1); by Siriphan Wichaidit
2021	Identifying and exploiting structures for reliable deep learning PhD Theses 2021 (1); by Amartya Sanyal
2021	Entropic optimal transport in machine learning: applications to distributional regression, barycentric estimation and probability matching PhD Theses 2021 (1); by Giulia Luise
2021	Deep learning-based implicit feedback recommendation PhD Theses 2021 (1); by Xin Xin
2021	An explainable artificial intelligence approach based on deep type-2 fuzzy logic system PhD Theses 2021 (1); by Ravikiran Chimatapu
2021	Approximate query processing using machine learning PhD Theses 2021 (1); by Qingzhi Ma
2021	Generating an RDF dataset from Twitter data: a study using machine learning PhD Theses 2021 (1); by Saad Alajlan
2021	Application of evolutionary machine learning in metamorphic malware analysis and detection PhD Theses 2021 (1); by Kehinde O. Babaagba
2021	Building transformative framework for isolation and mitigation of quality defects in multi-station assembly systems using deep learning PhD Theses 2021 (1); by Sumit Sinha
2021	Physics-based vision meets deep learning PhD Theses 2021 (1); by Ye Yu
2021	Explainable machine learning for educational data PhD Theses 2021 (1); by Mashael Al-Luhaybi
2021	Robust deep learning frameworks for acoustic scene and respiratory sound classification PhD Theses 2021 (1); by Lam Dang Pham
2021	A deep learning-based system for fast and automated detection of volatile organic compounds in raw gas chromatography-mass spectrometry breath data PhD Theses 2021 (1); by Angelika Skarysz
2021	Novel techniques for modelling uncertain human reasoning in explainable artificial intelligence PhD Theses 2021 (1); by Pasquale D'Alterio
2021	Visualisation, optimisation and machine learning: application in PET reconstruction and pea segmentation in MRI images PhD Theses 2021 (1); by Shatha F. Al-Maliki
2021	Graphical and deep learning models for natural language labelling tasks with multiple annotators PhD Theses 2021 (1); by Maolin Li
2021	Supervised machine learning algorithms for the estimation of the probability of default in corporate credit risk PhD Theses 2021 (1); by Eduard Sariev
2021	Multistage feature-assisted deep learning and its application in fine-grained fake news detection PhD Theses 2021 (1); by Fuad Mire Hassan
2021	Deep learning with knowledge graphs for fine-grained emotion classification in text PhD Theses 2021 (1); by Annika Marie Schoene
2021	From matrix factorisation to signal propagation in deep learning: algorithms and guarantees PhD Theses 2021 (1); by Michael Murray
2021	Artificial intelligence for optimisation and demand side response in built environment PhD Theses 2021 (1); by José Joaquín Mesa Jiménez
2021	Biologically-inspired machine learning approaches to large-scale neural data analysis PhD Theses 2021 (1); by Pamela Hathway
2021	Stability and performance assessment of organic photovoltaics using data analytics and machine learning PhD Theses 2021 (1); by Tudur Wyn David
2021	Development of medical image/video segmentation via deep learning models PhD Theses 2021 (1); by Mansoureh Pezhman Pour
2021	Deep learning for audio effects modeling PhD Theses 2021 (1); by Marco A. Martínez Ramírez
2021	Quantum machine learning for classical data PhD Theses 2021 (1); by Leonard Wossnig
2021	Artificial intelligence and chemical kinetics enabled property-oriented fuel design for internal combustion engine PhD Theses 2021 (1); by Runzhao Li
2021	Investigating the detection of stored scripting attacks using machine learning PhD Theses 2021 (1); by Fawaz A. Mereani
2021	A deep learning based approach to sketch recognition and model transformation for requirements elicitation and modelling PhD Theses 2021 (1); by Oluwatoni Olatunji
2021	Long-term follow-up of hydrocephalus patients and prediction of risk factors using machine learning PhD Theses 2021 (1); by Hiba Alsmadi
2021	Algorithmic trading and reinforcement learning: robust methodologies for AI in finance PhD Theses 2021 (1); by Thomas Spooner
2021	Deep learning for depth, ego-motion, optical flow estimation, and semantic segmentation PhD Theses 2021 (1); by Tuo Feng
2021	Classic versus deep learning approaches to address computer vision challenges: a study of faint edge detection and multispectral image registration PhD Theses 2021 (1); by Yehonatan Nati Ofir
2021	Scalable deep learning architecture design PhD Theses 2021 (1); by Wei Li 0132
2021	Exploiting AI to understand microtubule orientation in neurons PhD Theses 2021 (1); by Maximilian Jakobs
2021	Human-in-the-loop design with machine learning PhD Theses 2021 (1); by Pan Wang
2021	An investigation into quantum machine learning based image classification PhD Theses 2021 (1); by Philip Easom-McCaldin
2021	The blessings of explainable AI in operations & maintenance of wind turbines PhD Theses 2021 (1); by Joyjit Chatterjee
2021	Automated and verified deep learning PhD Theses 2021 (1); by Harkirat S. Behl
2021	Multi-source data fusion for land use classification using deep learning PhD Theses 2021 (1); by Rui Cao
2021	Intelligent edge caching based on federated deep learning PhD Theses 2021 (1); by Zhengxin Yu
2021	Human-robot interaction and deep learning for companionship in elderly care PhD Theses 2021 (1); by Marta Romeo
2021	Mobile traffic prediction through machine learning techniques PhD Theses 2021 (1); by Fuyou Li
2021	Essays in macroeconomics and machine learning PhD Theses 2021 (1); by Julian Ashwin
2021	A deep learning-based approach to identifying and mitigating network attacks within SDN environments using non-standard data sources PhD Theses 2021 (1); by Matthew Banton
2021	Scalable deep learning for bug detection PhD Theses 2021 (1); by Rafael-Michael Karampatsis
2021	Network-based advanced malware detection using multi-classifier machine learning PhD Theses 2021 (1); by Ahmad O. Almashhadani
2021	Robust modeling and prediction of disease progression using machine learning PhD Theses 2021 (1); by Mostafa Mehdipour-Ghazi
2021	Justification Mining: developing a novel machine learning method for identifying representative sentences and summarising sentiment in financial text PhD Theses 2021 (1); by Kevin Patel
2021	Towards human-centered artificial intelligence : learning from demonstration and meta-learning for model adaptation PhD Theses 2021 (1); by Ruohan Wang
2021	A Machine Learning Approach to Treatment Improvement in Type 2 Diabetes using Glucose Data PhD Theses 2021 (1); by Ali Mohebbi
2021	Prediction and Analysis Based on Sensor Network Data Using Machine Learning Techniques PhD Theses 2021 (1); by Ashraf Aldabbas
2021	Temporal Reconstruction Methods in Self-Supervised Machine Learning PhD Theses 2021 (1); by Zoltán Ádám Milacski
2021	Medical Image Enhancement using Deep Learning and Tensor Factorization Techniques PhD Theses 2021 (1); by Janka Hatvani
2021	Multiple sclerosis Lesion Detection via Machine Learning Algorithm based on Converting 3D to 2D MRI Images by Using Value of Binary Pattern Classification and Computational Method PhD Theses 2021 (1); by Mohammad Naser-Moghadasi
2021	Lifelong Machine Learning with Data Efficiency and Knowledge Retention PhD Theses 2021 (1); by Fei Mi
2021	Deep Learning Architectures for Amortized Bayesian Inference in Cognitive Modeling PhD Theses 2021 (1); by Stefan T. Radev
2021	On the Security of Machine Learning Beyond the Feature Space PhD Theses 2021 (1); by Erwin Quiring
2021	Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles PhD Theses 2021 (1); by Alina Roitberg
2021	Data Protection in Personalized AI Services: A Decentralized Approach PhD Theses 2021 (1); by Christian Meurisch
2021	Towards Intelligent Data Acquisition Systems with Embedded Deep Learning on MPSoC PhD Theses 2021 (1); by Weijia Wang
2021	Implications of machine learning algorithms in brain-computer interface (BCI) applications PhD Theses 2021 (1); by Muhammad Saif-ur-Rehman
2021	Mixed reality, artificial intelligence, and autonomous driving - studies extending technology acceptance research PhD Theses 2021 (1); by Jan-Gerrit Grotenhermen
2021	Designing AI-Based Systems for Qualitative Data Collection and Analysis PhD Theses 2021 (1); by Tim Rietz
2021	Learning from Power: Machine Learning on Electrical Signals PhD Theses 2021 (1); by Daniel Jorde
2021	Mask-based Black-box Attacks on Safety-Critical Systems that Use Machine Learning PhD Theses 2021 (1); by Katja Auernhammer
2021	Integrating and managing AI in organizations: archetypes of AI in organizational design PhD Theses 2021 (1); by Isabel Effert
2021	An approach to a machine learning-based operating strategy in automotive electrical energy management PhD Theses 2021 (1); by Andreas Anton Heimrath
2021	Human-centric explanation facilities: explainable AI for the pragmatic understanding of non-expert end users PhD Theses 2021 (1); by Michael Chromik
2021	Star-topology decoupled state-space search in AI planning and model checking PhD Theses 2021 (1); by Daniel Gnad
2021	Machine learning and hyper spectral imaging: multi spectral endoscopy in the gastro intestinal tract towards hyper spectral endoscopy PhD Theses 2021 (1); by Martin Hohmann
2021	Applications of machine learning in dynamic settings: from computational neuroscience to natural language processing PhD Theses 2021 (1); by Stephanie Brandl
2021	Scalable Data Analytics and Machine Learning on the Cloud PhD Theses 2021 (1); by Abdallah Salama
2021	Deep Learning Segmentation Algorithms for X-ray CT data PhD Theses 2021 (1); by Tomasz K. Konopczynski
2021	Logical and deep learning methods for temporal reasoning PhD Theses 2021 (1); by Christopher Hahn
2021	Deep learning and variational analysis for high-dimensional and geometric biomedical data PhD Theses 2021 (1); by Vladimir Golkov
2021	Autonomous agents for the World Wide Lab: artificial intelligence in the manufacturing industry PhD Theses 2021 (1); by Martin Liebenberg
2021	Resource-Efficient Vehicle-to-Cloud Communications Leveraging Machine Learning PhD Theses 2021 (1); by Benjamin Sliwa
2021	Deep Learning zur Erkennung von distalen Radiusfrakturen PhD Theses 2021 (1); by Henrik Bruker
2021	Solving underdetermined inverse problems: from advanced sparsity models to deep learning PhD Theses 2021 (1); by Maximilian März
2021	Stochastic approximation with a focus on machine learning applications PhD Theses 2021 (1); by Sebastian Kassing
2021	Comparison-based methods in machine learning PhD Theses 2021 (1); by Siavash Haghiri
2021	Machine Learning and Technostress as Important Aspects for Improving the Performance of Data Scientists in Contemporary Marketing Contexts PhD Theses 2021 (1); by Nicholas Daniel Derra
2021	Design of human-AI interactions with explainable artificial intelligence PhD Theses 2021 (1); by Kilian Kluge
2021	Global optimization of processes through machine learning PhD Theses 2021 (1); by Artur M. Schweidtmann
2021	AI-Supported Interactive Segmentation of 3D Volumes PhD Theses 2021 (1); by Thomas Lang
2021	The role of task and environment in biologically inspired artificial intelligence: learning as an active sensorimotor process PhD Theses 2021 (1); by Viviane Clay
2021	Knowledge base construction with machine learning methods PhD Theses 2021 (1); by Michael Loster
2021	Machine learning for reliable communication under coarse quantization PhD Theses 2021 (1); by Maximilian Stark
2021	Concept Drift Handling in Information Systems: Preserving the Validity of Deployed Machine Learning Models PhD Theses 2021 (1); by Lucas Baier
2021	Deep Learning for Graph-Based Image Instance Segmentation PhD Theses 2021 (1); by Alberto Bailoni
2021	Modern optimization techniques in computer vision: from variational models to machine learning security PhD Theses 2021 (1); by Jonas Geiping
2021	Machine Learning in an Open World: Intra-Class Splitting and Automatic Measurement Data Plausibility Check PhD Theses 2021 (1); by Patrick Schlachter
2021	Deep learning-enhanced side-channel analysis of cryptographic implementations PhD Theses 2021 (1); by Benjamin Hettwer
2021	Efficient deep learning algorithms for securing Industrial Control Systems from cyberattacks PhD Theses 2021 (1); by Sasanka Potluri
2021	Entwicklung eines Deep Learning Algorithmus zur Detektion von periapikalen Aufhellungen in Panoramaschichtaufnahmen PhD Theses 2021 (1); by Robert A. Gaudin
2021	Using machine learning to investigate representations of neural morphologies for cell type identification PhD Theses 2021 (1); by Sophie Laturnus
2021	Designing modern artificial intelligence-based information systems: theories, impact and challenges PhD Theses 2021 (1); by Nicolas Pfeuffer
2021	Deep learning for time-series classification enhanced by transfer learning based on sensor modality discrimination PhD Theses 2021 (1); by Frédéric Li
2021	Machine Learning Methods for Product Quality Monitoring in Electric Resistance Welding PhD Theses 2021 (1); by Baifan Zhou
2021	Deep Learning-basierte Optimierung der automatischen optischen Qualitätssicherung in einer Elektronik-Fertigung PhD Theses 2021 (1); by Alida Ilse Maria Schwebig
2021	Concepts for efficient, adaptive and robust deep learning from distributed data PhD Theses 2021 (1); by Felix Sattler
2021	Deep learning for feature based image matching PhD Theses 2021 (1); by Lin Chen
2021	Instance segmentation of microscopy images: : development of deep learning image analysis tools PhD Theses 2021 (1); by Anton Böhm
2021	Interpretation, inference and regularization: addressing important barriers to the application of machine learning algorithms in econometric PhD Theses 2021 (1); by Johann Pfitzinger
2021	Development of new tools to analyze kidney biopsies based on deep learning = Entwicklung neuer Werkzeuge zur Analyse von Nierenbiopsien mit Deep Learning PhD Theses 2021 (1); by Klaus Martin
2021	Revealing hidden patterns in political news and social media with machine learning PhD Theses 2021 (1); by Konstantina Lazaridou
2021	Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning: case studies on functional data analysis, pipeline tuning and shifted distribution PhD Theses 2021 (1); by Xudong Sun
2021	Machine learning for electronic intelligence PhD Theses 2021 (1); by Sabine Apfeld
2021	Uncertainty estimation for object detection using deep learning approaches PhD Theses 2021 (1); by Di Feng
2021	Computer Vision and Deep Learning Methods for Measuring and Modeling Animal Behavior PhD Theses 2021 (1); by Jacob M. Graving
2021	Prediction of business processes: selection and development of interpretable machine learning-based next activity prediction techniques PhD Theses 2021 (1); by Jens Brunk
2021	Bundle-specific tractography with machine learning PhD Theses 2021 (1); by Jakob Wasserthal
2021	Cooperative intention detection using machine learning: advanced cyclist protection in the context of automated driving PhD Theses 2021 (1); by Maarten Bieshaar
2021	Machine Learning for Satellite Image Analysis - A Spatial Mapping of Urban Areas PhD Theses 2021 (1); by Patrick Helber
2021	Application of delay-dynamical systems to machine learning / von M. Sc. Florian Stelzer PhD Theses 2021 (1); by Florian Stelzer
2021	Bayesian Neural Networks for Probabilistic Machine Learning PhD Theses 2021 (1); by Manuel Haußmann
2021	Deep learning on biomedical data with Boltzmann machines PhD Theses 2021 (1); by Stefan Lenz
2021	Deep Learning for Amharic Text-Image Recognition: Algorithm, Dataset and Application PhD Theses 2021 (1); by Birhanu Hailu Belay
2021	Operationalizing fairness for responsible machine learning PhD Theses 2021 (1); by Preethi Lahoti
2021	Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig PhD Theses 2021 (1); by Ahlam Mallak
2021	Machine Learning Techniques for Autonomous Multi-Sensor Long-Range Environmental Perception System PhD Theses 2021 (1); by Muhammad Abdul Haseeb
2021	Uncertainty estimation for dense stereo matching using Bayesian deep learning PhD Theses 2021 (1); by Max Mehltretter
2021	Robust Semantic Segmentation with Deep Learning PhD Theses 2021 (1); by Christoph Kamann
2021	Three essays on the challenges of artificial intelligence in shifting expertise and decision making in medical work PhD Theses 2021 (1); by Ekaterina Jussupow
2021	Machine learning for end-use electrical energy monitoring PhD Theses 2021 (1); by Karim Said Barsim
2021	Secure Computation Protocols for Privacy-Preserving Machine Learning PhD Theses 2021 (1); by Phillipp Schoppmann
2021	Geometric and semantic understanding of objects from a single image using deep learning PhD Theses 2021 (1); by Ahmed J. Afifi
2021	AI and IoT Meet Mobile Machines: Towards a Smart Working Site PhD Theses 2021 (1); by Yusheng Xiang
2021	Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake (VO2max) Using Machine Learning Methods Combined with Feature Selection Algorithms PhD Theses 2021 (1); by Fatih Abut
2021	Artificial intelligence-based technologies for biophotonic data PhD Theses 2021 (1); by Pranita Pradhan
2021	Artificial intelligence approaches for supporting organizations coping with the challenges of unstructured data: contributions to research related to text data, voice & image data and text in image data / by Roland Graef PhD Theses 2021 (1); by Roland Graef
2021	Know What You See - Visual Analytics enabling Machine Learning Performance Evaluation PhD Theses 2021 (1); by Patrick Ruediger-Flore
2021	Deep one-class learning: a deep learning approach to anomaly detection PhD Theses 2021 (1); by Lukas Ruff
2021	Deep learning methods for automotive radar signal processing PhD Theses 2021 (1); by Rodrigo Pérez González
2021	DARLING: Deep leARning for chemicaL Information processinG PhD Theses 2021 (1); by Kohulan Rajan
2021	Model-Driven Development Methodology and Domain-Specific Languages for the Design of Artificial Intelligence in Cyber-Physical Systems PhD Theses 2021 (1); by Evgeny Kusmenko
2021	Towards a machine learning based identifier-free face cryptosystem PhD Theses 2021 (1); by Xingbo Dong
2021	Deep Learning based Human Pose Estimation PhD Theses 2021 (1); by Yang Li
2021	Automatic Real-time Segmentation of the Prostate from Magnetic Resonance and Trans-rectal Ultrasound Images using Deep Learning PhD Theses 2021 (1); by Md. Sazzad Hossain
2021	Causal Inference Using Bayesian Deep Learning PhD Theses 2021 (1); by Adi Lin
2021	Chest X-Ray Image Classification with Deep Learning PhD Theses 2021 (1); by Qingji Guan
2021	Designing Machine Learning Models for Graph Analytics PhD Theses 2021 (1); by Guangsheng Yu, Hanchen Wang
2021	Understanding deep learning through ultra-wide neural networks PhD Theses 2021 (1); by Wei Huang
2021	Efficient and Reproducible Automated Deep Learning PhD Theses 2021 (1); by Santanu Metia, Xuanyi Dong
2021	Educational Data Mining: Machine Learning Techniques for Predicting At-risk of Failure Students PhD Theses 2021 (1); by Ruangsak Trakunphutthirak
2021	Early Detection of Sepsis in Neonatal and Adult Patients Using Machine Learning Approaches - Aiding Diagnosis for Clinicians PhD Theses 2021 (1); by Yifei Hu
2021	Image-based crack assessment of concrete structures using artificial intelligence for bridge health monitoring PhD Theses 2021 (1); by Jianghua Deng
2021	Re-thinking the Competitive Landscape of Artificial Intelligence: Exploring the Organisation Adoption Factors PhD Theses 2021 (1); by Tianyu Yang, Sulaiman Alsheibani
2021	Revisit of Microscopic Car Following Models: Conventional and Machine Learning Perspectives PhD Theses 2021 (1); by Yang Yu
2021	Lung Nodule Detection, Classification and Segmentation via Deep Learning PhD Theses 2021 (1); by Mohammad Hesam Hesamian
2021	Machine Learning Technologies for Enabling Earth Observation PhD Theses 2021 (1); by Benjamin Lucas
2021	Lightweight and Secure Deep Learning-based Mobile Recommender Systems PhD Theses 2021 (1); by Qinyong Wang
2021	Deep Learning for Software Security PhD Theses 2021 (1); by Van Nguyen
2021	Exploring Region-based Deep Learning to Understand Objects in Real-world Scenarios PhD Theses 2021 (1); by Ruiheng Zhang
2021	Changing Labour Market Dynamics in Australia: Skill Shortages, Job Transitions, and Artificial Intelligence Technology Adoption PhD Theses 2021 (1); by Nikolas Dawson
2021	Machine learning y realidad aumentada para el reconocimiento de recursos turísticos PhD Theses 2021 (1); by Ronald Alberto Renteria Ayquipa
2021	Ethoflow: an artificial intelligence-based software that facilitates behavioral measurements and their application for toxicological assessments in insects PhD Theses 2021 (1); by Rodrigo Cupertino Bernardes
2021	Automated discovery of business process simulation models from event logs: a hybrid process mining and deep learning approach PhD Theses 2021 (1); by Manuel Camargo
2021	Machine Learning approaches for the identification and exploitation of Sequence Motifs in Immunopeptidomes PhD Theses 2021 (1); by Bruno Alvarez
2021	Aplicação de inteligência artificial e machine learning em dados litoestratigráficos e geofísicos das expedições do Programa Internacional de Descobertas Oceânicas (IODP) PhD Theses 2021 (1); by Thiago Santi Bressan
2021	Machine learning and fractal attributes applied to automatic detection and classification of geologic planes in resistivity image logs PhD Theses 2021 (1); by Jorge Alberto Leal Freitez
2021	Evolving multitask models for machine learning : Modelos evolutivos multitarefa para aprendizado de máquina PhD Theses 2021 (1); by Amanda O. C. Ayres
2021	Virtual environments assisted by machine learning for modeling and test of robotic platforms : Ambientes virtuais auxiliados por aprendizado de máquina para modelagem e teste de plataformas Robóticas PhD Theses 2021 (1); by Vinicius B. Bastos
2021	Deep learning aplicado à inspeção visual de madeira, pólen e vírus PhD Theses 2021 (1); by André R. de Geus
2021	Prediction-based software maintenance: a machine learning perspective = Manutenção de software baseada em predição: uma perspectiva de aprendizado de máquina PhD Theses 2021 (1); by Luiz Alberto Ferreira Gomes
2021	Probabilistic Machine Learning Strategies for Coarse-Graining of Molecular Dynamics at Equilibrium (Probabilistische Strategien des maschinellen Lernens zur Multiskalenmodellierung atomistischer Systeme) PhD Theses 2021 (1); by Markus Schöberl
2021	Deep Learning Methods for Cardiac Magnetic Resonance Imaging Reconstruction (Deep Learning Methoden für Herz Rekonstruktion der Magnetresonanztomographie) PhD Theses 2021 (1); by Hossam Ahmed Mohammad Elrewaidy
2021	Data Science na modelação e previsão de séries económico-financeiras: das metodologias clássicas ao Deep Learning PhD Theses 2021 (1); by Filipe Roberto de Jesus Ramos
2021	Deep Learning Techniques for Medical Image Classification PhD Theses 2021 (1); by Ibrahem Kandel
2021	Quantum Machine Intelligence: Mapping AI Applications PhD Theses 2021 (1); by Carla Maria Alves Pereira da Silva
2021	Multivariate Time Series Analysis with Deep Learning PhD Theses 2021 (1); by Rui Jorge Pereira Gonçalves
2021	Towards enhanced safety stock estimation: Exploring machine learning strategies for supply chain demand forecasting PhD Theses 2021 (1); by João N. C. Gonçalves
2021	Human-artificial intelligence engagement exploring the perspectives of users and tourism managers PhD Theses 2021 (1); by Mónica Montes Mendes Rocha Ferreira
2021	Rethinking a Deep Learning Pipeline for Images PhD Theses 2021 (1); by Ricardo Cruz
2021	Sustainable modular IoT solution for smart cities applications supported by machine learning algorithms PhD Theses 2021 (1); by André Filipe Xavier da Glória
2021	Deep Learning Methods for Applications Driven by Visual and Textual Content PhD Theses 2021 (1); by Benjamin Eliot Klein
2021	Classical Computer Vision In The Era of Deep Learning PhD Theses 2021 (1); by Shir Gur
2021	Machine Learning for Programming Language Processing PhD Theses 2021 (1); by Uri Alon
2021	On the Emergence of Semantic Structure in Deep Learning PhD Theses 2021 (1); by Tomer Galanti
2021	Optimizations Towards Robustness in Machine Learning. (כותר נוסף בעברית: אופטימיזציות לאמינות של מערכות לומדות) PhD Theses 2021 (1); by Yoav Wald
2021	New Problems and Methods in Unsupervised Machine Learning PhD Theses 2021 (1); by Sagie Benaim
2021	Image synthesis in visual machine learning PhD Theses 2021 (1); by Fangneng Zhan
2021	Autonomous deep learning for continual learning in complex data stream environment PhD Theses 2021 (1); by Andri Ashfahani
2021	Designing adversarial signals against three deep learning and non-deep learning methods PhD Theses 2021 (1); by Yi Huang
2021	Defences and threats in safe deep learning PhD Theses 2021 (1); by Alvin Chan
2021	Visual saliency computation and quality evaluation via deep learning PhD Theses 2021 (1); by Sheng Yang
2021	Long non-coding RNA functional annotation : machine learning approaches PhD Theses 2021 (1); by Yu Zhang
2021	Information Exploration and Exploitation for Machine Learning with Small Data PhD Theses 2021 (1); by Shogo Hayashi
2021	Coordination Analysis and Term Correction for Statutory Sentences using Machine Learning PhD Theses 2021 (1); by Takahiro Yamakoshi
2021	Algorithms for Accelerating Machine Learning with Wide and Deep Models PhD Theses 2021 (1); by Yasutoshi Ida
2021	Extracting Rules from Trained Machine Learning Models with Applications in Bioinformatics PhD Theses 2021 (1); by Pengyu Liu
2021	Applications of machine learning algorithms in quality of life PhD Theses 2021 (1); by Christos Kokkotis
2021	Interdisciplinary data science methods using machine learning for enhanced knowledge acquisition PhD Theses 2021 (1); by Paraskevas Koukaras
2021	Use of machine learning techniques in medical informatics, Χρήση τεχνικών μηχανικής μάθησης στην ιατρική πληροφορική PhD Theses 2021 (1); by Theodoros Iliou
2021	Beyond deep learning: enriching data representations for machine learning tasks PhD Theses 2021 (1); by Nikiforos Pittaras
2021	Machine learning methods for modelling and analysis of time series signals in geoinformatics PhD Theses 2021 (1); by Maria Kaselimi
2021	Automated segmentation of micro-CT images by deep learning and its application to comparative morphology PhD Theses 2021 (1); by Evropi Toulkeridou
2021	Deep learning techniques in digital media PhD Theses 2021 (1); by Maria Tzelepi
2021	Supervised and unsupervised deep learning methodologies PhD Theses 2021 (1); by Paraskevi Nousi
2021	Deep learning techniques for financial data PhD Theses 2021 (1); by Avraam Tsantekidis
2021	Wireless Location Verification and Acquisition Using Machine Learning PhD Theses 2021 (1); by Ullah Ihsan
2021	Towards Real-World Domain Adaptation with Deep Learning PhD Theses 2021 (1); by Qin Wang
2021	Machine Learning Techniques for Charged Particle Tracking at the ATLAS Experiment PhD Theses 2021 (1); by Sabrina Cherifa Amrouche
2021	Development of machine learning and advanced data analytical techniques to incorporate genomic data in predictive modeling for Salmonella enterica PhD Theses 2021 (1); by Shraddha Karanth
2021	Machine Learning for Channel Estimation and Hybrid Beamforming in Millimeter-Wave Wireless Networks PhD Theses 2021 (1); by Ture Peken
2021	Integrating Deep Learning and Image Processing Techniques into a Hybrid Model for Glaucoma Detection PhD Theses 2021 (1); by Abdullah Sarhan
2021	Evolutionary Algorithms for Hyperparameter Search in Machine Learning PhD Theses 2021 (1); by Yu Bai
2021	AI-Enabled Cybersecurity Analytics: Detecting and Defending Against Cyber Threats PhD Theses 2021 (1); by Mohammadreza Ebrahimi
2021	Deep Learning based Vehicle Detection in Aerial Imagery PhD Theses 2021 (1); by Lars Wilko Sommer
2021	Coping with Data Scarcity in Deep Learning and Applications for Social Good PhD Theses 2021 (1); by Matteo Bustreo
2021	Formalizing evasion attacks against machine learning security detectors PhD Theses 2021 (1); by Luca Demetrio
2021	Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair (Maschinelles Lernen und Deformationsmodellierung zur Workflow-kompatiblen Bildfusion für endovaskuläre Aortenreparaturen) PhD Theses 2021 (1); by Katharina Breininger
2021	Reliable Machine Learning: robustness, calibration, and reproducibility PhD Theses 2021 (1); by Chihuang Liu
2021	Unaprijeđena prirodna korisnička interakcija u paradigmi pametne okoline temeljena na metodama dubokog učenja ; Advanced natural user interaction in a smart environment paradigm based on deep learning methods PhD Theses 2021 (1); by Luka Kraljevic
2021	Integrating Deep Learning into Digital Rock Analysis Workflow PhD Theses 2021 (1); by Naif Alqahtani
2021	Detekcija ljudi na slikama iz zraka upotrebom višemodelnog pristupa dubokog učenja ; Multimodel approach in deep learning for detection of humans in aerial images PhD Theses 2021 (1); by Mirela Kundid Vasic
2021	Deep Learning based Intelligent Wireless Communication System PhD Theses 2021 (1); by Hao Ye
2021	Building Up Recommender Systems By Deep Learning For Cognitive Services PhD Theses 2021 (1); by Feng Yuan
2021	Topics on Generative Models in Machine Learning PhD Theses 2021 (1); by Carl Ringqvist
2021	Bayesian machine learning for financial modeling PhD Theses 2021 (1); by Rajbir-Singh Nirwan
2021	3D-3D Deformable Registration and Deep Learning Segmentation based Neck Diseases Analysis in MRI PhD Theses 2021 (1); by Abdulla Al Suman
2021	Mechanism-based Stratification of Alzheimer's and Parkinson's Disease using Artificial Intelligence PhD Theses 2021 (1); by Mohammad Asif Emon
2021	Machine Learning Methods in HDLSS Settings PhD Theses 2021 (1); by Xi Yang
2021	Deep Learning for Histopathology Image Analysis From Heterogeneous and Multimodal Data Sources PhD Theses 2021 (1); by Juan Sebastian Otálora Montenegro
2021	Machine learning approaches to identify early keratoconus and classify keratoconus progression PhD Theses 2021 (1); by Ke Cao
2021	Interpretable and Robust Machine Learning for Precision Medicine PhD Theses 2021 (1); by Samir Rachid Zaim
2021	Deep Learning Beyond the Training Distribution PhD Theses 2021 (1); by Giambattista Parascandolo
2021	Protection of data privacy based on artificial intelligence in Cyber-Physical Systems PhD Theses 2021 (1); by Marwa Keshk
2021	Towards Transparent and Grounded Visual AI Systems PhD Theses 2021 (1); by Yash Goyal
2021	Investigation of adaptive radiation therapy including deformable image registration, treatment planning modification strategies, machine learning & deep learning PhD Theses 2021 (1); by Pawel Siciarz
2021	Secure and reliable deep learning in signal processing PhD Theses 2021 (1); by Jinshan Liu
2021	Empowering users to communicate their preferences to machine learning models in Visual Analytics PhD Theses 2021 (1); by Subhajit Das
2021	Deep Learning for Wildfire Progression Monitoring Using SAR and Optical Satellite Image Time Series ; Djupinlärning för övervakning av skogsbränders utveckling med hjälp av tidsserier av SAR- och optiska satellittidsserier PhD Theses 2021 (1); by Puzhao Zhang
2021	Improving Post-Deployment Configuration of Cyber-Physical Systems Using Machine Learning and Multi-Objective Search PhD Theses 2021 (1); by Safdar Aqeel Safdar
2021	Numerical algorithms for high dimensional integration with application to machine learning and molecular dynamics PhD Theses 2021 (1); by Aku Kammonen
2021	Automated and Real-time Scan-to-BIM through Deep Learning-based Object Detection PhD Theses 2021 (1); by Yongzhi Xu
2021	Combining Deep Learning and Physics-Based Performance Models for Diagnostics and Prognostics PhD Theses 2021 (1); by Manuel Arias Chao
2021	Machine learning applied to radar data: classification and semantic instance segmentation of moving road users PhD Theses 2021 (1); by Ole Schumann
2021	Machine Learning based Design and Optimization for High-Performance Semiconductor Packaging and Systems PhD Theses 2021 (1); by Hakki Mert Torun
2021	A System Study of Communication-Efficient Distributed Machine Learning PhD Theses 2021 (1); by Shaoduo Gan
2021	Image reconstruction and machine learning approaches for enhanced medical imaging: cases in computed tomography and magnetic resonance imaging PhD Theses 2021 (1); by Juuso H. Ketola
2021	Machine Learning in High-Energy Physics: Displaced Event Detection and Developments in ROOT/TMVA PhD Theses 2021 (1); by Kim Albertsson
2021	Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches: Applications in systems biology using Markov jump processes PhD Theses 2021 (1); by Fredrik Wrede
2021	A machine learning-guided framework to unravel determinants of G-protein selectivity in GPCRs PhD Theses 2021 (1); by Gurdeep Singh
2021	Safeguarding Privacy Through Deep Learning Techniques PhD Theses 2021 (1); by Rosario Catelli
2021	Techniques for Combining Visualization with Machine Learning in Data Analysis PhD Theses 2021 (1); by Zhenge Zhao
2021	Towards Trust and Transparency in Deep Learning Systems through Behavior Introspection & Online Competency Prediction PhD Theses 2021 (1); by Julia Filiberti Allen
2021	Towards Autonomous and Efficient Machine Learning Systems PhD Theses 2021 (1); by Ahsan Ali
2021	Machine Learning and Synthesis of Robust Programs PhD Theses 2021 (1); by Pavol Bielik
2021	Deep Learning based data-fusion methods for remote sensing applications PhD Theses 2021 (1); by Antonio Mazza
2021	Towards the integration of computational methods in spinal surgical planning: A combination of deep learning, statistical, and finite element methods PhD Theses 2021 (1); by Sebastiano Caprara
2021	Data-Driven Approach based on Deep Learning and Probabilistic Models for PHY-Layer Security in AI-enabled Cognitive Radio IoT PhD Theses 2021 (1); by Muhammad Farrukh Shahid Syed
2021	Massive multiple access in future wireless networks: dynamic architectures and machine learning-based design PhD Theses 2021 (1); by Yasser F. Al-Eryani
2021	Machine Learning Approaches for Modeling and Correction of Confounding Effects in Complex Biological Data PhD Theses 2021 (1); by Chiung-Ting Wu
2021	Planted models in machine learning: theory and applications PhD Theses 2021 (1); by Luca Corinzia
2021	Generalizable Models for Prediction of Physiological Decompensation from multivariate and Multiscale Physiological Time Series using Deep Learning and Transfer Learning Techniques PhD Theses 2021 (1); by Supreeth Prajwal Shashikumar
2021	Enabling secure passwords via Deep Learning: Towards a new generation of attacks and defenses PhD Theses 2021 (1); by Dario Pasquini
2021	New stochastic and Randomized Algorithms for Nonconvex Optimization in Machine Learning PhD Theses 2021 (1); by Nhan H. Pham
2021	Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series PhD Theses 2021 (1); by Christian Bock
2021	Generative Quantum Machine Learning PhD Theses 2021 (1); by Christa Zoufal
2021	Automated image-based taxon identification using deep learning and citizen-science contributions PhD Theses 2021 (1); by Miroslav Valan
2021	Machine Learning Approaches for Patient Monitoring in the Intensive Care Unit PhD Theses 2021 (1); by Matthias Hüser
2021	Bridging Machine Learning for Smart Grid Applications PhD Theses 2021 (1); by Narayan Bhusal
2021	A path along deep learning for medical image analysis: With focus on burn wounds and brain tumors PhD Theses 2021 (1); by Marco Domenico Cirillo
2021	Implications of Dataset Heterogeneity on Deep Learning Performance in Medical Image Segmentation PhD Theses 2021 (1); by Annika Hänsch
2021	Multimodální zpracování dat a mapování v robotice založené na strojovém učení ; Machine Learning-Based Multimodal Data Processing and Mapping in Robotics PhD Theses 2021 (1); by Adam Ligocki
2021	Interpretability of Deep Learning for Medical Image Classification: Improved Understandability and Generalization PhD Theses 2021 (1); by Mara Graziani
2021	Advancing the Design and Utility of Adversarial Machine Learning Methods PhD Theses 2021 (1); by Nathan Inkawhich
2021	Probabilistic machine learning and phenomenological knowledge. Developments for optimization under uncertainty in safety-critical systems PhD Theses 2021 (1); by Christian Agrell
2021	Elucidation of complex diseases by machine learning PhD Theses 2021 (1); by Karolina Smolinska
2021	Data-Driven Approach using Machine Learning for Real-Time Flight Path Optimization PhD Theses 2021 (1); by Junghyun Kim
2021	Leveraging Feature Exploitation to Automate Practical Machine Learning with Text, Image and Tabular Data PhD Theses 2021 (1); by Fatemeh Sharifi
2021	Application of Deep Learning in Chemical Processes: Explainability, Monitoring and Observability PhD Theses 2021 (1); by Piyush Agarwal
2021	Using Synthetic Satellite Imagery from Virtual Worlds to Train Deep Learning Models for Object Recognition PhD Theses 2021 (1); by Bohao Huang
2021	Interactive Scalable Interfaces for Machine Learning Interpretability PhD Theses 2021 (1); by Frederick Hohman
2021	Prediction of human performance based on psychophysiological features of resilience and machine learning ; Predvidanje performanci ljudi temeljeno na psihofiziološkim značajkama rezilijentnosti i na strojnom učenju PhD Theses 2021 (1); by Marko Sarlija
2021	A Deep Learning Framework in Selected Remote Sensing Applications PhD Theses 2021 (1); by Massimiliano Gargiulo
2021	Designing and Managing Artificial Intelligence-Enabled Information Systems PhD Theses 2021 (1); by Peter Hofmann
2021	Data Reduction Algorithms in Machine Learning and Data Science PhD Theses 2021 (1); by Benyamin Ghojogh
2021	Machine Learning for Structural Health Assessment under Uncertainty: with applications in Wind Energy PhD Theses 2021 (1); by Charilaos Mylonas
2021	Using deep learning approaches for microwave imaging PhD Theses 2021 (1); by Vahab Khoshdel
2021	Algorithms for complex systems in the life sciences: AI for gene fusion prioritization and multi-omics data integration PhD Theses 2021 (1); by Marta Lovino
2021	Deep learning for automating additive manufacturing process chains PhD Theses 2021 (1); by Tobias Nickchen
2021	Social Network Analysis: A Machine Learning Approach PhD Theses 2021 (1); by Bonaventure C. Molokwu
2021	Advanced Machine Learning Technologies for Robust Longitudinal Radiomics and Response Assessment in Glioblastoma Multiforme PhD Theses 2021 (1); by Yannick Suter
2021	Machine Learning for Wireless Link Adaptation: Supervised and Reinforcement Learning Theory and Algorithms PhD Theses 2021 (1); by Vidit Saxena
2021	Data-Driven Approach using Machine Learning for Real-Time Flight Path Optimization PhD Theses 2021 (1); by Jung Hyun Kim
2021	Responsible machine learning: supporting privacy preservation and normative alignment with multi-agent simulation PhD Theses 2021 (1); by Charles David Byrd
2021	Interval Deep Learning for Uncertainty Quantification in Engineering Problems PhD Theses 2021 (1); by David Betancourt
2021	A portable EEG-BCI framework enhanced by machine learning techniques PhD Theses 2021 (1); by Pasquale Trinchese
2021	Frank-Wolfe Methods for Optimization and Machine Learning PhD Theses 2021 (1); by Cyrille W. Combettes
2021	Joint Linear and Nonlinear Computation with Data Encryption for Efficient Privacy-Preserving Deep Learning PhD Theses 2021 (1); by Qiao Zhang
2021	Improving nuclear medicine with deep learning and explainability: two real-world use cases in parkinsonian syndrome and safety dosimetry PhD Theses 2021 (1); by Mahmood Nazari
2021	Numerical modeling of fluid mixing in pipe networks with machine learning applications: doctoral dissertation ; Rad ne sadrži naslov na drugom jeziku PhD Theses 2021 (1); by Luka Grbcic
2021	Applying Machine Learning to Testing and Diagnosis of Integrated Systems PhD Theses 2021 (1); by Renjian Pan
2021	Interpretable Machine Learning Model for Clinical Decision Making PhD Theses 2021 (1); by Ali El-Sharif
2021	Patterns in big data bioinformatics: Understanding complex diseases with interpretable machine learning PhD Theses 2021 (1); by Mateusz Garbulowski
2021	Feedback Coding for Efficient Interactive Machine Learning PhD Theses 2021 (1); by Gregory Humberto Canal
2021	Improved machine learning approaches for individualized human assistance, supervision, and behavior prediction PhD Theses 2021 (1); by Qi Deng
2021	Automatic analysis in echocardiography using machine learning PhD Theses 2021 (1); by Andreas Østvik
2021	On the Choice of Priors in Bayesian Deep Learning PhD Theses 2021 (1); by Vincent Fortuin
2021	Reducing Human Labor Cost in Deep Learning for Natural Language Processing PhD Theses 2021 (1); by Haoming Jiang
2021	Machine Learning and Pattern Recognition Methods for Remote Sensing Image Registration and Fusion PhD Theses 2021 (1); by David Solarna
2021	Machine Learning Methods for Precision Medicine using Patient Electronic Health Records and Mobile Sensor Data PhD Theses 2021 (1); by Jitong Lou
2021	Towards Human-AI Cooperation on Sequential Decision Making Problems PhD Theses 2021 (1); by Shi Feng
2021	Machine Learning-based Author Identification for Social Media Forensics PhD Theses 2021 (1); by Sicong Shao
2021	Safe Robot Planning and Control Using Uncertainty-Aware Deep Learning PhD Theses 2021 (1); by David D. Fan
2021	Intelligent DC Series Arc Fault Detection using Deep Learning in Photovoltaic Systems PhD Theses 2021 (1); by Shibo Lu
2021	Embedded Artificial Intelligence for Tactile Sensing PhD Theses 2021 (1); by Mohamad Alameh
2021	Security Attacks and Defenses in Cyber Systems: From an AI Perspective PhD Theses 2021 (1); by Zhengping Luo
2021	On the Interplay between brain-Computer Interfaces and Machine Learning Algorithms: a Systems Perspective PhD Theses 2021 (1); by Mohit Agarwal
2021	Machine learning-based automated segmentation with a feedback loop for 3D synchrotron micro-CT PhD Theses 2021 (1); by Roman Shkarin
2021	Designing Co-Creative, Embodied AI Literacy Interventions for Informal Learning Spaces PhD Theses 2021 (1); by Duri Long
2021	Using machine learning as a research tool in experimental psychology PhD Theses 2021 (1); by Tanja Krumpe
2021	Deep Learning for Enhancing Precision Medicine PhD Theses 2021 (1); by Min Oh
2021	Machine Learning for Millimeter Wave Wireless Systems: Network Design and Optimization PhD Theses 2021 (1); by Qianqian Zhang
2021	Towards Fully Automated Interpretation of Volumetric Medical Images with Deep Learning PhD Theses 2021 (1); by Rachel Lea Draelos
2021	Toward solving groupwise Medical Image Analysis Problems with Deep Learning PhD Theses 2021 (1); by Zhipeng Ding
2021	Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning PhD Theses 2021 (1); by Zainab Abbas
2021	Unsupervised structural damage detection and localization using deep learning and machine learning PhD Theses 2021 (1); by Zilong Wang
2021	Machine Learning Methods for Modern Biomedical Data: Deep Learning and Reinforcement Learning in Precision Health PhD Theses 2021 (1); by Teeranan Pokaprakarn
2021	Active Vision Based Embodied-AI Design For Nano-UAV Autonomy PhD Theses 2021 (1); by Nitin J. Sanket
2021	Deep Learning in the Presence of Label Noise: A Meta-Learning Approach ; Kirli Etiketlerin Varlığında Derin Öğrenme: Meta-Öğrenim Yaklaşımı PhD Theses 2021 (1); by Görkem Algan
2021	Deep Learning and Neuromorphic Computing in Quantum Chromodynamics and Beyond PhD Theses 2021 (1); by Lukas Kades
2021	Deep Learning Approaches for Seagrass Detection in Multispectral Imagery PhD Theses 2021 (1); by Kazi Aminul Islam
2021	Enhancing Public Sector Organization Knowledge Retention with Social Network Analysis, Text Mining and Machine Learning PhD Theses 2021 (1); by Yuzhi Guo
2021	Data-Driven Deep Learning Methods for Physically-Based Simulations PhD Theses 2021 (1); by Francesco Della Santa
2021	Deep Learning-based Localisation for Autonomous Vehicles (Deep Learning-basierte Lokalisierung für autonome Fahrzeuge) PhD Theses 2021 (1); by Ricardo Carrillo Mendoza
2021	Machine Learning for MIMO Detection and Eavesdropping with symbol-Level Precoding Countermeasures PhD Theses 2021 (1); by Abderrahmane Mayouche
2021	Building Secure and Reliable Deep Learning Systems from a Systems Security Perspective PhD Theses 2021 (1); by Sanghyun Hong
2021	Stability and accuracy in compressive sensing and deep learning PhD Theses 2021 (1); by Vegard Antun
2021	Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction PhD Theses 2021 (1); by Pedram Daee
2021	Machine Learning-based Energy and Thermal Efficient Resource Management Algorithms for Cloud Data Centres PhD Theses 2021 (1); by Shashikant Ilager
2021	Sparse Machine Learning Methods for Prediction and Personalized Medicine PhD Theses 2021 (1); by Hang Yu
2021	Machine Learning Approaches to Improve Diagnosis and Management of Mammographic Calcifications PhD Theses 2021 (1); by Rui Hou
2021	Near Sensor Artificial Intelligence on IoT Devices for Smart Cities PhD Theses 2021 (1); by Gianmarco Cerutti
2021	Deep learning for organ segmentation in radiotherapy: federated learning, contour propagation, and domain adaptation PhD Theses 2021 (1); by Eliott Brion
2021	3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning PhD Theses 2021 (1); by Zhongguo Li
2021	Scalable Optimization Methods for Machine Learning: Acceleration, Adaptivity and Structured Non-Convexity PhD Theses 2021 (1); by Vien V. Mai
2021	Optical microspectrometers and chemical classifiers based on silicon nanowires, plasmonic metasurfaces and machine learning PhD Theses 2021 (1); by Jiajun Meng
2021	Channel Detection and Decoding With Deep Learning PhD Theses 2021 (1); by Bryan Liu
2021	Inductive Biases in Machine Learning for Robotics and Control PhD Theses 2021 (1); by Michael Lutter
2021	Deep Learning for Uncertainty Measurement PhD Theses 2021 (1); by Alisa Kim
2021	A lipschitzian global optimization algorithm and machine learning for fluid dynamics PhD Theses 2021 (1); by Danny D'Agostino
2021	Increasing Software Reliability using Mutation Testing and Machine Learning PhD Theses 2021 (1); by Michael Allen Stewart
2021	Machine Learning and 3D Reconstruction Methods for Computational Pathology PhD Theses 2021 (1); by Kimmo Kartasalo
2021	On Using Inductive Biases for Designing Deep Learning Architectures PhD Theses 2021 (1); by Harsh Shrivastava
2021	Machine Learning for Structural Monitoring and Anomaly Detection PhD Theses 2021 (1); by Elia Favarelli
2021	Adversarial Machine Learning in the Wild PhD Theses 2021 (1); by Parsa Saadatpanah
2021	Probabilistic machine learning methods for automated radiation therapy treatment planning PhD Theses 2021 (1); by Tianfang Zhang
2021	Applications of Machine Learning Strategy for Wireless Power Transfer and Identification PhD Theses 2021 (1); by Soyeon Jeong
2021	Data Summarization in Modern Machine Learning PhD Theses 2021 (1); by Zalán Borsos
2021	Towards Universal EEG systems with minimum channel count based on Machine Learning and Computational Intelligence PhD Theses 2021 (1); by Luis Alfredo Moctezuma
2021	Strategies in Botnet Detection and Privacy Preserving Machine Learning PhD Theses 2021 (1); by Di Zhuang
2021	Statistical and machine learning methods for identifying clusters of variables: with applications in omics, ecology and psychology PhD Theses 2021 (1); by Rebecca Marion
2021	Geometric computer vision meets deep learning for autonomous driving applications PhD Theses 2021 (1); by Javier García López
2021	Self-supervised deep learning approaches to speaker recognition PhD Theses 2021 (1); by Umair Khan
2021	Relative music loudness estimation in TV broadcast audio using deep learning: an industrial perspective PhD Theses 2021 (1); by Blai Meléndez-Catalán
2021	Machine learning assisted QoT estimation for optical networks optimization PhD Theses 2021 (1); by Ankush Mahajan
2021	Sports broadcasting and multiple object tracking with deep learning methods PhD Theses 2021 (1); by Andreu Girbau
2021	Data preprocessing and quality diagnosis in deep learning-based in silico bioactivity prediction PhD Theses 2021 (1); by Angela Lopez-del Rio
2021	Structural damage monitoring based on machine learning and bio-inspired computing PhD Theses 2021 (1); by Jaime Vitola Oyaga
2021	Adapting by copying. Towards a sustainable machine learning PhD Theses 2021 (1); by Irene Unceta
2021	Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans PhD Theses 2021 (1); by Xavier Rafael Palou
2021	Uso de técnicas deep learning para reconocimiento de objetos en áreas rurales PhD Theses 2021 (1); by Luis Barba-Guamán
2021	Towards Automatic Generation of Performance Models for Dynamic Tuning using Machine Learning PhD Theses 2021 (1); by Jordi Alcaraz
2021	Convergence of deep learning and high performance computing: challenges and solutions PhD Theses 2021 (1); by Albert Kahira
2021	Derin öğrenme teknikleri kullanılarak kemik kırığı tespiti ve sınıflandırması (Bone fracture detection and classification using deep learning techniques) PhD Theses 2021 (1); by Koray Açici
2021	Non-small cell lung cancer tumor characterisation using deep learning (Derin öğrenme yaklaşımlarıyla küçük hücreli dışı akciğer kanserinde tümör karakterizasyonu) PhD Theses 2021 (1); by Mustafa Bicakci
2021	Yapay zeka optimizasyon algoritması temelli aldatma ve söylenti tespit yöntemi (Deception and rumor detection method based on artificial intelligence optimization algorithm) PhD Theses 2021 (1); by Harun Bingol
2021	Improving machine learning methods for social media data in Turkish (Türkçe sosyal ortam verileri için makine öğrenme yöntemlerinin geliştirilmesi) PhD Theses 2021 (1); by Buket Ersahin
2021	Görsel dikkat modeli ve derin öğrenme yöntemleri kullanılarak geniş dağarcıklı ayrık işaret dili tanıma sisteminin modellenmesi (Modeling a large vocabulary isolated sign language recognition system using visual attention model and deep learning methods) PhD Theses 2021 (1); by Ozge Mercanoglu Sincan
2021	Derin öğrenme tabanlı sürücü yorgunluğu sezme ve tahmin sistemi geliştirilmesi (Detecting drivers\' fatigue and development of a prediction system based on deep learning) PhD Theses 2021 (1); by Burcu Kir Savas
2021	Pankreas kanser dokularının segmentasyonunda farklı derin öğrenme tekniklerinin performanslarının incelenmesi (Investigation of different deep learning techniques in pancreas cancer tissues segmentation) PhD Theses 2021 (1); by Ramazan Özgür Dogan
2021	Derin öğrenme ile köpek ve kedi tibia kemikleri üzerindeki kırıkların tespiti ve sınıflandırması (Detection and classification of fractures on dog and cat tibia bones with deep learning) PhD Theses 2021 (1); by Berker Baydan
2021	Makine öğrenme temelli glioma analizi ve derecelendirme sistemi (Machine learning based glioma analysis and grading system) PhD Theses 2021 (1); by Hakan Özcan
2021	Medical data analysis and model development based on machine learning using apache spark technology (Apache spark teknolojisi kullanılarak sağlık verilerinin analizi ve makine öğrenimine dayalı modelin geliştirilmesi) PhD Theses 2021 (1); by Anar Taghiyev
2021	Yapay zekâ desteği ile mikro sigortalama sistemi için blok zinciri uygulaması (Blockchain application with artificial intelligence support for micro insurance system) PhD Theses 2021 (1); by Arzu Kilitci Calayir
2021	Mikrodalga ölçüm verilerinden makine öğrenmesi teknikleri kullanılarak patlayıcı madde tespiti (Explosive detection using machine learning techniques from microwave measurement measurement data) PhD Theses 2021 (1); by Ebru Efeoglu
2021	Proposing a model for precision management supervised with machine learning in livestock management (Çiftlik hayvanı yetiştiriliğinde makine öğrenmesi destekli hassas sürü yönetimi için model önerisi) PhD Theses 2021 (1); by Bahadir Baran Ödevci
2021	Derin öğrenme yöntemleri kullanılarak görüntüler üzerinde insan hareketlerinin ve hastalıklarının sınıflandırılması (Classification of human movements and diseases on images using deep learning methods) PhD Theses 2021 (1); by Muhammed Yildirim
2021	Makine öğrenmesi algoritmalarıyla Türk işaret dilinde harf ve dinamik sözcük tanıma (Alphabet and dynamic word recognition in Turkish sign language with machine learning algorithms) PhD Theses 2021 (1); by Zekeriya Katilmis
2021	Recursive deep learning for Turkish sentiment analysis (Yinelemeli derin öğrenme teknikleri ile Türkçe duygu analizi) PhD Theses 2021 (1); by Sultan Zeybek
2021	Fully automated deep learning and machine learning-based prognosis models for survival prediction of brain tumor patients using multi-modal MRI images (Multimodal mrı görüntüleri kullanarak beyin tümörü hastalarının hayatta kalma tahmini için tam otomatik derin öğrenme ve makine öğrenme tabanlı prognoz modelleri) PhD Theses 2021 (1); by Abdela Ahmed Mossa
2021	Yapı ve çevre özelliklerine göre yıkım metodu seçiminde makine öğrenmesi ile geliştirilen bir karar destek yazılımı (A decision support software developed with machine learning in selection of a demolition method according to structural and environmental features of building) PhD Theses 2021 (1); by Ibrahim Cihan Yetisken
2021	Blockchain driven secure and private machine learning algorithms for post quantum 5G/6G enabled industrial IoT with applications to cybersecurity and health (Kuantum sonrası 5G/6G ile etkinleştirilmiş endüstriyel IoT ve ilgili siber güvenlik ve sağlık uygulamaları için blok zincir güdümlü güvenli ve mahremiyet koruyucu makine öğrenimi algoritmaları) PhD Theses 2021 (1); by Artrim Kjamilji
2021	Deep learning approaches for the localization of capsule endoscope (Kapsül endoskopi lokalizasyonu için derin öğrenme yaklaşımları) PhD Theses 2021 (1); by Kutsev Bengisu Ozyoruk
2021	Machine learning models for identifying cause effect relationship in medical treatment data (Tıbbi tedavi verilerinden sebep sonuç ilişkilerinin makina öğrenim yöntemleri ile belirlenmesi) PhD Theses 2021 (1); by Mohammed Abebe Yimer
2021	Bilgiye erişimde kullanılabilirliğin yeni bir yapay zekâ yöntemiyle geliştirilmesi (Improving usability in access to information by a new artificial intelligence method) PhD Theses 2021 (1); by Veli Özcan Budak
2021	Sayısal patoloji görüntülerinin analizinde yenilikçi derin öğrenme yaklaşımlarının geliştirilmesi (Development of innovative deep learning approaches in the analysis of digital pathology images) PhD Theses 2021 (1); by Yusuf Çelik
2021	Data mining and machine learning in environmental informatics (Çevresel enformatikte veri madenciliği ve makine öğrenmesi) PhD Theses 2021 (1); by Göksu Tüysüzoglu
2021	Mobil kablosuz ağların optimizasyonunda yapay zeka yöntemlerinin kullanılarak operasyonel verimliliğin artırılması (Increasing operational efficiency on mobil wireless network optimization by using artificial intelligence methods) PhD Theses 2021 (1); by Yakup Tarik Kranda
2021	Diagnosis of cardiovascular (CVD) disease using high performance machine learning system (Yüksek performanslı makine öğrenme sistemi kullanılarak kardiyovasküler (CVD) hastalığının tanı) PhD Theses 2021 (1); by Mustafa Adil Fayez Fayez
2021	Drug target interaction prediction using artificial intelligence (Yapay kullanarak ilaç hedef etkileşimi tahminizeka) PhD Theses 2021 (1); by Baraa Taha Yaseen Yaseen
2021	Otonom Güvenlik Kontrollerinde Kullanılmak Üzere Derin Öğrenme Tabanlı Silah Tespit ve Tanıma Sistemi. (Deep Learning-based Weapon Detection and Recognition System Used in Autonomous Security Controls) PhD Theses 2021 (1); by Volkan Kaya
2021	El hareketlerinin derin öğrenme tabanlı tanınması ve artırılmış gerçeklik uygulaması geliştirme (Deep learning based recognition of hand gestures and development of augmented reality application) PhD Theses 2021 (1); by Osman Güler
2021	Makina öğrenmesile biyometrik sahtekarlığa ve ağ anormallik tespitine dayalı saldırı tespiti (Intrusion detection based on biometric spoofing and network anomaly detection with machine learning algorithms) PhD Theses 2021 (1); by Sajad Einy
2021	Androıd kötücül yazılımlarından koruma sistemlerinin değerlendirilmesi ve görüntü işleme algoritmalarını yapay zekâ teknikleri ile melezleştirerek yeni bir algılama yaklaşımının geliştirilmesi (Evaluating the robustness of android anti-malware systems and developing a novel detection approach based on hybridizing image processing algorithms with artificial intelligence techniques) PhD Theses 2021 (1); by Halit Bakir
2021	Makine öğrenmesi teknikleri ile havacılıkta yakıt taşımacılığı kararının alınması ve bir uygulama (Decision-making in fuel tankering with machine learning techniques in aviation and its application) PhD Theses 2021 (1); by Ilker Güven Yilmaz
2021	Cognitively-inspired deep learning approaches for grounded language learning (Temellendirilmiş dil öğrenimi için bilişsel esinli derin öğrenme yaklaşımları) PhD Theses 2021 (1); by Ozan Arkan Can
2021	Derin öğrenme tabanlı nesne tespit algoritmaları ile hisse senedi al-sat karar destek sisteminin modellenmesi (Modeling of trading decision support system with deep learning based object recognition algorithms) PhD Theses 2021 (1); by Günay Temür
2021	Öneri sistemlerinde başarımı artırmak için yapay zeka tabanlı yaklaşımlar (Artificial intelligence based approaches to increase success in recommender systems) PhD Theses 2021 (1); by Berna Seref
2021	Deep learning ensembles for image understanding PhD Theses 2021 (1); by Sara Atito Ali Ahmed
2021	Psikiyatrik hastalıkların makine öğrenmesi yöntemleri ile ayrıştırılması (Discrimination of psychiatric disorders by machine learning methods) PhD Theses 2021 (1); by Ilkim Ecem Emre
2021	Bulanık parametreli bulanık esnek matrislerin makine öğrenimine uygulamaları (Applications of fuzzy parameterized fuzzy soft matrices to machine learning) PhD Theses 2021 (1); by Samet Memis
2021	Sanal para pazarlarındaki manipülatörlerin makine öğrenimi yöntemleri kullanılarak tespiti (Detection of manipulators in virtual money markets using machine learning methods) PhD Theses 2021 (1); by Firat Akba
2021	Makine öğrenmesi ve derin öğrenme yöntemleri kullanılarak saldırı tespit ve önleme sistemi geliştirilmesi (Developing an intrusion detection and prevention system using machine learning and deep learning methods) PhD Theses 2021 (1); by Mehmet Ali Altuncu
2021	Hematolojik hastalıkların teşhisinde yapay zeka tekniklerinin performans karşılaştırması (Performance comparison of artificial intelligence techniques in the diagnosis of hematological diseases) PhD Theses 2021 (1); by Tuba Karagül Yildiz
2021	Makine öğrenmesi yöntemleri ile yazılım hata tahmini (Software defect prediction with machine learning methods) PhD Theses 2021 (1); by Zeynep Güven Aydin
2021	Yazılım tanımlı ağ tabanlı büyük veri ağ mimarileri üzerinde yük dengeleme ve kontrolör yerleştirme probleminin yapay zeka yaklaşımları ile çözümü (Solving load balancing and controller placement problems in software-defined network based big data network architectures using artificial intelligence approaches) PhD Theses 2021 (1); by Banu Ulu
2021	Development of intelligent systems using augmented reality and machine learning techniques (Artırılmış gerçeklik ve makine öğrenmesi teknikleri kullanılarak akıllı sistemlerin geliştirilmesi) PhD Theses 2021 (1); by Ramiz Yilmazer
2021	Derin öğrenme tabanlı çok modlu duygu analizi yöntemlerinin geliştirilmesi (Development of deep learning based multimodal sentiment analysis methods) PhD Theses 2021 (1); by Mehmet Umut Salur
2021	Digital-twin flight modelling through machine learning for trajectory error estimation and recovery (Rota hesaplamalarında makine öğrenmesi tabanlı dijital ikiz uçuş modeli) PhD Theses 2021 (1); by Mevlut Uzun
2021	Derin öğrenme yöntemleri kullanılarak giyilebilir sensörlerden kişi tanıma (Using deep learning in wearable sensors for person recognition) PhD Theses 2021 (1); by Safak Kiliç
2021	Yapay zekâ yöntemleri ile bölgesel kentleşme ve iklim değişimi etkilerinin tahmini (Prediction of regional urbanization and climate change effects with artificial intelligence methods) PhD Theses 2021 (1); by Buket Isler
2021	Sosyal medya makina öğrenme tekniklerini kullanarak yazar kimlik doğrulaması (Social media authorship verification using machine learning techniques) PhD Theses 2021 (1); by Suleyman Alterkavi
2021	Derin öğrenme tabanlı görüntü işleme ile nesne tanıma yöntemlerinde başarım oranı artırma (Increasing the success rate in object recognition methods by deep learning-based image processing) PhD Theses 2021 (1); by Muhammed Ali Erbir
2021	Deep learning based offline handwritten character recognizer systems with a multilingual handwritten character dataset (Derin öğrenme tabanlı çevirimdışı etkileşimsiz el yazılı karakter tanıma sistemleri ile çok dilli el yazısı karakter veri seti) PhD Theses 2021 (1); by Gaye Ediboglu Bartos
2021	Yapay öğrenme algoritmalarını kandırmak (Deception of machine learning algorithms) PhD Theses 2021 (1); by Fatma Gumus
2021	Motorlu araçlarin performanslarinin makine öğrenmesi teknikleriyle analizi ve tahmini (Analysis and estimation of motor vehicles\' performances using machine learning techniques) PhD Theses 2021 (1); by Ibrahim Arda Çankaya
2021	Framework modeling for healthcare system based on machine learning and blockchain (Sağlık sistemi için makine öğrenmesine veblokzincirine dayalı çerçeve modelleme) PhD Theses 2021 (1); by Azhar Hasan Nsaif Drebee
2021	SatNet: Uydu görüntülerinden nesne tespiti için yeni bir derin öğrenme modeli (SatNet: A novel deep learning model for object detection from satellite images) PhD Theses 2021 (1); by Ferdi Dogan
2021	Büyük veride çizge teorisiyle temerrüt tahmini ve makine öğrenmesi modellerinin yorumlanması (Default prediction with graph theory in big data and interpretation of machine learning models) PhD Theses 2021 (1); by Mustafa Yildirim
2021	Modeling of the ionosphere\'s disturbance using deep learning techniques (İyonosfer bozulmaların derin öğrenme teknikleri kullanılarak modellenmesi) PhD Theses 2021 (1); by Rahem Abri
2021	Makine öğrenmesi ile elde edilen statik sözlükleri kullanarak kısa metin sıkıştırma (Short text compression using static dictionaries obtained by machine learning) PhD Theses 2021 (1); by Murat Aslanyürek
2021	Derin öğrenme yöntemleri için doğrusal olmayan aktivasyon fonksiyonlarının geliştirilmesi (Development of nonlinear activation functions for deep learning methods) PhD Theses 2021 (1); by Serhat Kiliçarslan
2021	Deep learning based Turkish video indexing and retrieval system (Derin öğrenmeye dayalı Türkçe video indeksleme ve bilgi getirimi sistemi) PhD Theses 2021 (1); by Jawad Rasheed
2021	Makine öğrenmesi yöntemleri ile siber güvenlik değerlendirmesi: Ağ trafik analizi ve zararlı yazılım algılama (Cyber security assessment with machine learning methods: Network traffic analysis and malware detection) PhD Theses 2021 (1); by Ali Haydar Eser
2021	Dikkat eksikliği hiperaktivite bozukluğunun makine ve derin öğrenme teknikleri ile tespiti (Detection of attention deficit hyperactivity disorder by machine and deep learning techniques) PhD Theses 2021 (1); by Gülay Çiçek
2021	Derin öğrenme yöntemleriyle sosyal medya analizi ve kullanıcı temsili (Social media analysis and user representation with deep learning methods) PhD Theses 2021 (1); by Ibrahim Riza Hallac
2021	Fotovoltaik sistemin güç üretiminin derin öğrenme modelleri ile tahmini (Prediction of power generation of the photovoltaic system with deep learning models) PhD Theses 2021 (1); by Emre Biçek
2021	Yüksek çözünürlüklü erime eğrilerinin sınıflandırılması için derin öğrenme tabanlı yöntemlerin geliştirilmesi (Developing deep learning methods to classify high resolution melting curves) PhD Theses 2021 (1); by Fatma Ozge Ozkok
2021	Turkish makam music composition by using deep learning techniques (Derin öğrenme teknikleri kullanılarak Türk makam müziği bestelenmesi) PhD Theses 2021 (1); by Ismail Hakki Parlak
2021	Derin öğrenme yöntemleri ile beyin MRI görüntülerinde anomali tespiti (Anomaly detection in brain MRI images with deep learning methods) PhD Theses 2021 (1); by Ebru Aydogan
2021	Derin öğrenme mimarileri kullanılarak ayrık video görüntüleri üzerinden işaret dili tanıma (Isolated sign language recognition using deep learning architectures) PhD Theses 2021 (1); by Cemil Gündüz
2021	Derin öğrenme ve dalgacık dönüşümüne dayalı akciğer kanseri erken tanısında belirsizlik ölçeğinin saptanması (Uncertainty of the quantification in diagnosing lung cancer from ct images using deep learning and discrete wavelet transform) PhD Theses 2021 (1); by Mehmet Akif Cifci
2021	Sözlük tabanlı yaklaşım ve makine öğrenmesi ile Türkçe doğal dil işleme: Eğitim kurumlarında duygu analizi (Turkish natural language processing using dictionary based approach and machine learning: Sentiment analysis in educational institutions) PhD Theses 2021 (1); by Harun Aksaya
2021	Human identification verification from biometric dorsal hand vein images based on deep learning generative adversarial networks (Derin öğrenme üretken karşılık ağlarına dayalı biyometrik dorsal el damar görüntülerinden insan tanımlama doğrulaması) PhD Theses 2021 (1); by Khaled Mohamed Alashik
2021	Böbrek tümörlerinin derin öğrenme yoluyla segmentasyonu (Segmentation of kidney tumors by deep learning) PhD Theses 2021 (1); by Fuat Türk
2021	Unravelling the determinants of molecular host-pathogen interactions with machine learning PhD Theses 2021 (1); by Pieter Moris
2021	Supervised machine learning under constraints PhD Theses 2021 (1); by David Lupien St-Pierre, Cyril Briquet, Jean-Michel Begon
2021	Deep learning in multi-step forecasting of chaotic dynamics PhD Theses 2021 (1); by Matteo Sangiorgio
2021	Deep Learning Safety under Non-Stationarity Assumptions PhD Theses 2021 (1); by Francesco Crecchi
2021	Machine learning algorithms for the optimization of internet advertising campaigns PhD Theses 2021 (1); by Alessandro Nuara
2021	Computational inference of DNA folding principles: from data management to machine learning PhD Theses 2021 (1); by Luca Nanni
2021	Deep Learning on Graphs with Applications to the Life Sciences PhD Theses 2021 (1); by Marco Podda
2021	Machine learning-driven integration, knowledge extraction and uncertainty management for scientific data PhD Theses 2021 (1); by Gabriele Scalia
2021	Continuous behavioral analysis through machine learning for a secure smart environment PhD Theses 2021 (1); by Giacomo Giorgi
2021	Remote biometric signal processing based on deep learning using SPAD cameras PhD Theses 2021 (1); by Marco Paracchini
2021	Leveraging Social Media and AI to foster Secure Societies against Online and Offline Threats PhD Theses 2021 (1); by Leonardo Nizzoli

Software Engineering / SE Radio Podcasts (FREE)

2021	Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler SE Radio Podcasts (FREE) 2021 Luis Ceze of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of different hardware architectures with host Akshay…
2021	Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler SE Radio Podcasts (FREE) 2021 Luis Ceze of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of different hardware architectures with host Akshay…

Software Engineering / ACM queue (FREE)

2021	Steampunk Machine Learning: Victorian contrivances for modern data science ACM queue (FREE) 2021 (6); by Terence Kelly
2021	Interpretable Machine Learning: Moving from mythos to diagnostics ACM queue (FREE) 2021 (6); by Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2021	Federated Learning and Privacy: Building privacy-preserving systems for machine learning and data science on decentralized data ACM queue (FREE) 2021 (5); by Kallista A. Bonawitz, Peter Kairouz, Brendan McMahan, Daniel Ramage
2021	Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us ACM queue (FREE) 2021 (3); by Piero Molino, Christopher Ré
2021	Biases in AI Systems: A survey for practitioners ACM queue (FREE) 2021 (2); by Ramya Srinivasan, Ajay Chander

Software Engineering / IEEE Software

2021	Constructing Dependable Data-Driven Software With Machine Learning IEEE Software 2021 (6); by Claus Pahl, Shelernaz Azimi
2021	AI in Software Engineering at Facebook IEEE Software 2021 (4); by Johannes Bader, Sonia Seohyun Kim, Frank Sifei Luan, Satish Chandra, Erik Meijer
2021	Next-Generation Software Verification: An AI Perspective IEEE Software 2021 (3); by Shiva Nejati
2021	Shockingly Simple: "KEYS" for Better AI for SE IEEE Software 2021 (2); by Tim Menzies
2021	An Exploratory Study of Machine Learning Model Stores IEEE Software 2021 (1); by Minke Xiu, Zhen Ming Jack Jiang, Bram Adams

Computing (general) / ACM Computing Surveys

2021	Security and Privacy in IoT Using Machine Learning and Blockchain: Threats and Countermeasures ACM Computing Surveys 2021 (6); by Nazar Waheed, Xiangjian He, Muhammad Ikram, Muhammad Usman, Saad Sajid Hashmi, Muhammad Usman
2021	A Survey on Trust Evaluation Based on Machine Learning ACM Computing Surveys 2021 (5); by Jingwen Wang, Xuyang Jing, Zheng Yan, Yulong Fu, Witold Pedrycz, Laurence T. Yang
2021	A Survey on Bayesian Deep Learning ACM Computing Surveys 2021 (5); by Hao Wang, Dit-Yan Yeung
2021	Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions ACM Computing Surveys 2021 (4); by Yanjiao Chen, Baolin Zheng, Zihan Zhang, Qian Wang, Chao Shen, Qian Zhang
2021	Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey ACM Computing Surveys 2021 (4); by Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Maciej Koutny, Rajiv Ranjan
2021	Machine Learning Methods for Data Association in Multi-Object Tracking ACM Computing Surveys 2021 (4); by Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka
2021	Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics ACM Computing Surveys 2021 (4); by Alexander Wood, Kayvan Najarian, Delaram Kahrobaei
2021	A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses ACM Computing Surveys 2021 (3); by Bardh Prenkaj, Paola Velardi, Giovanni Stilo, Damiano Distante, Stefano Faralli
2021	Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges ACM Computing Surveys 2021 (3); by Triet Huynh Minh Le, Hao Chen, Muhammad Ali Babar
2021	A Survey on Distributed Machine Learning ACM Computing Surveys 2021 (2); by Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
2021	Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools ACM Computing Surveys 2021 (1); by Ruben Mayer, Hans-Arno Jacobsen
2021	The AI-Based Cyber Threat Landscape: A Survey ACM Computing Surveys 2021 (1); by Nektaria Kaloudi, Jingyue Li
2021	Deep Learning-Based Video Coding: A Review and a Case Study ACM Computing Surveys 2021 (1); by Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu

Enterprise Computing / IEEE IT Professional

2021	Formal Methods Boost Experimental Performance for Explainable AI IEEE IT Professional 2021 (6); by Frederik Gossen, Tiziana Margaria, Bernhard Steffen
2021	Economics of Artificial Intelligence in Cybersecurity IEEE IT Professional 2021 (5); by Nir Kshetri
2021	Quantified Self: From Self-Learning to Machine Learning IEEE IT Professional 2021 (4); by Richa Sharma, Shalli Rani
2021	Real-Time Diagnosis System of COVID-19 Using X-Ray Images and Deep Learning IEEE IT Professional 2021 (4); by Amjad Rehman, Tariq Sadad, Tanzila Saba, Ayyaz Hussain, Usman Tariq
2021	COVID-19 Detection Using Integration of Deep Learning Classifiers and Contrast-Enhanced Canny Edge Detected X-Ray Images IEEE IT Professional 2021 (4); by Stefanus Tao Hwa Kieu, Abdullah Bade, Mohd. Hanafi Ahmad Hijazi, Hoshang Kolivand
2021	Multimodal AI to Improve Agriculture IEEE IT Professional 2021 (3); by Cynthia Sims Parr, Danielle G. Lemay, Christopher L. Owen, M. Jennifer Woodward-Greene, Jiayang Sun
2021	Deep Learning-Based COVID-19 Detection Using CT and X-Ray Images: Current Analytics and Comparisons IEEE IT Professional 2021 (3); by Amjad Rehman, Tanzila Saba, Usman Tariq, Ayesha Noor
2021	The Duality of Data and Knowledge Across the Three Waves of AI IEEE IT Professional 2021 (3); by Amit P. Sheth, Krishnaprasad Thirunarayan
2021	A Review of Artificial Intelligence's Neural Networks (Deep Learning) Applications in Medical Diagnosis and Prediction IEEE IT Professional 2021 (3); by G. Reza Djavanshir, Xinrui Chen, Wenhao Yang
2021	Reversible Execution for Robustness in Embodied AI and Industrial Robots IEEE IT Professional 2021 (3); by Ivan Lanese, Ulrik Pagh Schultz, Irek Ulidowski
2021	Intrusion Detection System Through Advance Machine Learning for the Internet of Things Networks IEEE IT Professional 2021 (2); by Tanzila Saba, Tariq Sadad, Amjad Rehman, Zahid Mehmood, Qaisar Javaid
2021	Data Labeling for the Artificial Intelligence Industry: Economic Impacts in Developing Countries IEEE IT Professional 2021 (2); by Nir Kshetri

UX & Human Factors / ACM interactions

2021	Human-AI interaction: intermittent, continuous, and proactive ACM interactions 2021 (6); by Niels van Berkel, Mikael B. Skov, Jesper Kjeldskov
2021	How does AI challenge design practice? ACM interactions 2021 (4); by Thomas Olsson, Kaisa Väänänen
2021	Just and equitable data labeling: toward a responsible AI supply chain ACM interactions 2021 (4); by Ananya Broker Parekh, Sarayu Natarajan
2021	What does AI mean for smallholder farmers?: a proposal for farmer-centered AI research ACM interactions 2021 (4); by Courtney Heldreth, Diana Akrong, Jess Holbrook, Norman Makoto Su
2021	Covidpreneurism: AI cold wars in the Covid-19 end days ACM interactions 2021 (3); by Eleanor Dare
2021	Reflecting on AI activism ACM interactions 2021 (1); by Elizabeth F. Churchill
2021	A conversation on AI activism ACM interactions 2021 (1); by Sarayu Natarajan, Smriti Parsheera
2021	Women reclaiming AI ACM interactions 2021 (1); by Birgitte Aga, Coral Ann Manton
2021	Deep learning for human-computer interaction ACM interactions 2021 (1); by Huy Viet Le, Sven Mayer, Niels Henze
2021	UX designers pushing AI in the enterprise: a case for adaptive UIs ACM interactions 2021 (1); by John Zimmerman, Changhoon Oh, Nur Yildirim, Alex Kass, Teresa Tung, Jodi Forlizzi
2021	AI activism ACM interactions 2021 (1); by Alex S. Taylor, Daniela K. Rosner, Mikael Wiberg

UX & Human Factors / IEEE Computer Graphics & Applications

2021	The Role of Interactive Visualization in Fostering Trust in AI IEEE Computer Graphics & Applications 2021 (6); by Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne
2021	A Visual Analytics Approach for Structural Differences Among Graphs via Deep Learning IEEE Computer Graphics & Applications 2021 (5); by Dongming Han, Jiacheng Pan, Cong Xie, Xiaodong Zhao, Xiaonan Luo, Wei Chen
2021	DeepGD: A Deep Learning Framework for Graph Drawing Using GNN IEEE Computer Graphics & Applications 2021 (5); by Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen
2021	Powering Visualization With Deep Learning IEEE Computer Graphics & Applications 2021 (5); by Yingcai Wu, Siwei Fu, Jian Zhao, Chris Bryan
2021	Visualizing Multimodal Deep Learning for Lesion Prediction IEEE Computer Graphics & Applications 2021 (5); by Christina Gillmann, Lucas Peter, Carlo Schmidt, Dorothee Saur, Gerik Scheuermann, Mike Potel
2021	Blending Machine Learning and Interaction Design in Audio Explorer IEEE Computer Graphics & Applications 2021 (2); by Colin Scruggs, Cameron Henkel, Charles D. Stolper, Kris Cook, R. Jordan Crouser
2021	Using Artificial Intelligence to Visualize the Impacts of Climate Change IEEE Computer Graphics & Applications 2021 (1); by Alexandra Luccioni, Victor Schmidt, Vahe Vardanyan, Yoshua Bengio, Theresa-Marie Rhyne

Computing (specialised) / IEEE Security & Privacy

2021	Integrating Cybersecurity and Artificial Intelligence Research in Engineering and Computer Science Education IEEE Security & Privacy 2021 (6); by Fariborz Farahmand, Jens Grossklags, Jelena Mirkovic, Bill Newhouse
2021	Security and Privacy for Edge Artificial Intelligence IEEE Security & Privacy 2021 (4); by James Bret Michael
2021	A Critical Overview of Privacy in Machine Learning IEEE Security & Privacy 2021 (4); by Emiliano De Cristofaro
2021	Attacks on Artificial Intelligence [Last Word] IEEE Security & Privacy 2021 (1); by Elisa Bertino

Computing (specialised) / IEEE Internet Computing

2021	Sociotechnical Perspectives on AI Ethics and Accountability IEEE Internet Computing 2021 (6); by Nadin Kökciyan, Biplav Srivastava, Michael N. Huhns, Munindar P. Singh
2021	Ethical Online AI Systems Through Conscientious Design IEEE Internet Computing 2021 (6); by Pablo Noriega, Harko Verhagen, Julian A. Padget, Mark d'Inverno
2021	Knowledge-Intensive Language Understanding for Explainable AI IEEE Internet Computing 2021 (5); by Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
2021	Sustainable and Trustworthy Edge Machine Learning IEEE Internet Computing 2021 (5); by Ivona Brandic, Ewa Deelman
2021	A Multiple Feature Category Data Mining and Machine Learning Approach to Characterize and Detect Health Misinformation on Social Media IEEE Internet Computing 2021 (5); by Lida Safarnejad, Qian Xu, Yaorong Ge, Shi Chen
2021	Toward Distributed, Global, Deep Learning Using IoT Devices IEEE Internet Computing 2021 (3); by Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Karan Mitra, Schahram Dustdar, Omer F. Rana, Prem Prakash Jayaraman, Rajiv Ranjan
2021	AI-Driven Provisioning in the 5G Core IEEE Internet Computing 2021 (2); by Amit Sheoran, Sonia Fahmy, Lianjie Cao, Puneet Sharma
2021	Artificial Intelligence and the Right to Explanation as a Human Right IEEE Internet Computing 2021 (2); by Michael Winikoff, Julija Sardelic
2021	A New AI IEEE Internet Computing 2021 (2); by Charles Petrie
2021	Special Issue on AI-Powered 5G Services IEEE Internet Computing 2021 (2); by Robin Chen, Vijay Gopalakrishnan
2021	Examining Machine Learning for 5G and Beyond Through an Adversarial Lens IEEE Internet Computing 2021 (2); by Muhammad Usama, Inaam Ilahi, Junaid Qadir, Rupendra Nath Mitra, Mahesh K. Marina
2021	RIC: A RAN Intelligent Controller Platform for AI-Enabled Cellular Networks IEEE Internet Computing 2021 (2); by Bharath Balasubramanian, Scott Daniels, Matti A. Hiltunen, Rittwik Jana, Kaustubh Joshi, Rajarajan Sivaraj, Tuyen X. Tran, Chengwei Wang
2021	Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? IEEE Internet Computing 2021 (1); by Manas Gaur, Keyur Faldu, Amit P. Sheth

Computing (specialised) / IEEE Intelligent Systems

2021	Attention-Enhanced Gradual Machine Learning for Entity Resolution IEEE Intelligent Systems 2021 (6); by Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou
2021	Fairness in Deep Learning: A Computational Perspective IEEE Intelligent Systems 2021 (4); by Mengnan Du, Fan Yang, Na Zou, Xia Hu
2021	An Evaluation of Four Resampling Methods Used in Machine Learning Classification IEEE Intelligent Systems 2021 (3); by Robbie T. Nakatsu

Hardware and Microprocessor Systems / IEEE Micro

2021	Datacenter-Scale Analysis and Optimization of GPU Machine Learning Workloads IEEE Micro 2021 (5); by Lukasz Wesolowski, Bilge Acun, Valentin Andrei, Adnan Aziz, Gisle Dankel, Christopher Gregg, Xiaoqiao Meng, Cyril Meurillon, Denis Sheahan, Lei Tian, Janet Yang, Peifeng Yu, Kim M. Hazelwood
2021	The Vision Behind MLPerf: Understanding AI Inference Performance IEEE Micro 2021 (3); by Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu
2021	Distributed Deep Learning With GPU-FPGA Heterogeneous Computing IEEE Micro 2021 (1); by Kenji Tanaka, Yuki Arikawa, Tsuyoshi Ito, Kazutaka Morita, Naru Nemoto, Kazuhiko Terada, Junji Teramoto, Takeshi Sakamoto

Other / IEEE Annals of the History of Computing

2021	Review of Artificial Whiteness: Politics and Ideology in Artificial Intelligence IEEE Annals of the History of Computing 2021 (4); by Carolyn L. Kane
2021	Leonardo Torres Quevedo: Pioneer of Computing, Automatics, and Artificial Intelligence IEEE Annals of the History of Computing 2021 (3); by Francisco González de Posada, Francisco A. González Redondo, Alfonso Hernando González
2021	The "General Problem Solver" Does Not Exist: Mortimer Taube and the Art of AI Criticism IEEE Annals of the History of Computing 2021 (1); by Shunryu Colin Garvey

UX & Human Factors / IEEE Multimedia

2021	Neighborhood Adaptive Loss Function for Deep Learning-Based Point Cloud Coding With Implicit and Explicit Quantization IEEE Multimedia 2021 (3); by André F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira

Software Engineering / GOTO Conference Videos (FREE)

2021	The Road to General AI GOTO Conference Videos (FREE) 2021; by Danny Lange
2021	Machine Learning for Developer Self-Care GOTO Conference Videos (FREE) 2021; by Erik Meijer
2021	Abzu’s QLattice, A New Explainable AI GOTO Conference Videos (FREE) 2021; by Jaan Kasak
2021	The Role of Software Developers in Machine Learning GOTO Conference Videos (FREE) 2021; by Catherine Gamboa
2021	Is Machine Learning a Black Box? GOTO Conference Videos (FREE) 2021; by Dean Wampler
2021	From Experimentation to Products: The Production Machine Learning Journey GOTO Conference Videos (FREE) 2021; by Robert Crowe

2020 (616)

Computing (general) / Communications of the ACM

2020	Federated learning for privacy-preserving AI Communications of the ACM 2020 (12); by Yong Cheng, Yang Liu 0165, Tianjian Chen, Qiang Yang
2020	Green AI Communications of the ACM 2020 (12); by Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni
2020	Enabling AI at the edge with XNOR-networks Communications of the ACM 2020 (12); by Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2020	Operationalizing AI ethics principles Communications of the ACM 2020 (12); by Cansu Canca
2020	Minding the AI gap in LATAM Communications of the ACM 2020 (11); by Barbara Poblete, Jorge Pérez
2020	Estimating Amazon carbon stock using AI-based remote sensing Communications of the ACM 2020 (11); by Rosiane de Freitas, João M. B. Cavalcanti, Sergio Cleger, Niro Higuchi, Carlos Henrique Souza Celes, Adriano Jose Nogueira Lima
2020	Contextualized interpretable machine learning for medical diagnosis Communications of the ACM 2020 (11); by Wagner Meira Jr., Antônio Luiz P. Ribeiro, Derick M. de Oliveira, Antônio H. Ribeiro
2020	AI on edge Communications of the ACM 2020 (9); by Samuel Greengard
2020	AI authorship? Communications of the ACM 2020 (7); by Pamela Samuelson
2020	Call for a wake standard for artificial intelligence Communications of the ACM 2020 (7); by Brian Subirana
2020	AI and accessibility Communications of the ACM 2020 (6); by Meredith Ringel Morris
2020	A snapshot of the frontiers of fairness in machine learning Communications of the ACM 2020 (5); by Alexandra Chouldechova, Aaron Roth
2020	Teaching CS humbly, and watching the AI revolution Communications of the ACM 2020 (5); by Mark Guzdial, Jiajie Zhang
2020	Developing AI for law enforcement in Singapore and Australia Communications of the ACM 2020 (4); by Lam Kwok Yan, Campbell Wilson
2020	AI Singapore: empowering a smart nation Communications of the ACM 2020 (4); by Sintia Teddy-Ang, Abigail Toh
2020	Machine learning, meet whiskey Communications of the ACM 2020 (4); by Gregory Mone
2020	Artificial intelligence and the future of professional work Communications of the ACM 2020 (4); by Mari Sako
2020	Dilemmas of artificial intelligence Communications of the ACM 2020 (3); by Peter J. Denning, Dorothy E. Denning
2020	Techniques for interpretable machine learning Communications of the ACM 2020 (1); by Mengnan Du, Ninghao Liu, Xia Hu

Computing (general) / IEEE Computer

2020	Beyond Conversational Artificial Intelligence IEEE Computer 2020 (12); by Mark Campbell
2020	Artificial Intelligence and Critical Systems: From Hype to Reality IEEE Computer 2020 (11); by Phil Laplante, Dejan S. Milojicic, Sergey Serebryakov, Daniel Bennett
2020	Transparency for Whom? Assessing Discriminatory Artificial Intelligence IEEE Computer 2020 (11); by Tom van Nuenen, Xavier Ferrer Aran, Jose M. Such, Mark Coté
2020	Embedded Artificial Intelligence: The ARTEMIS Vision IEEE Computer 2020 (11); by Dimitrios Serpanos, Gianluigi Ferrari, George Nikolakopoulos, Jon Pérez, Markus Tauber, Stefan Van Baelen
2020	National Varieties of Artificial Intelligence Discourses: Myth, Utopianism, and Solutionism in West European Policy Expectations IEEE Computer 2020 (11); by Marinus Ossewaarde, Erdener Gulenc
2020	Transparency as Threat at the Intersection of Artificial Intelligence and Cyberbiosecurity IEEE Computer 2020 (10); by Sara B. Jordan, Samantha L. Fenn, Benjamin B. Shannon
2020	Managing Artificial Intelligence Deployment in the Public Sector IEEE Computer 2020 (10); by Averill Campion, Mila Gascó-Hernández, Slava Jankin Mikhaylov, Marc Esteve
2020	Artificial Intelligence-Based Referral System for Patients With Diabetic Retinopathy IEEE Computer 2020 (10); by Gaspar González-Briceño, Abraham Sánchez, Susana Ortega-Cisneros, Mario Salvador Garcia Contreras, German Alonso Pinedo Diaz, Eduardo Ulises Moya-Sánchez
2020	Artificial Intelligence in Government IEEE Computer 2020 (10); by Carlos E. Jimenez-Gomez, Jesús Cano Carrillo, Francisco Falcone
2020	Public Strategies for Artificial Intelligence: Which Value Drivers? IEEE Computer 2020 (10); by Gianluigi Viscusi, Anca Rusu, Marie-Valentine Florin
2020	RIGOR: A New Proposal for Predicting Infant Mortality in Government Health Systems Using Artificial Intelligence in Brazil IEEE Computer 2020 (10); by Angelo M. e Silva, Yara R. Rodrigues, Renato Porfirio Ishii
2020	Cybertrust: From Explainable to Actionable and Interpretable Artificial Intelligence IEEE Computer 2020 (9); by Igor Linkov, Stephanie Elisabeth Galaitsi, Benjamin D. Trump, Jeffrey M. Keisler, Alexander Kott
2020	Deep Learning IEEE Computer 2020 (9); by Ergun Akleman
2020	Hybrid Human-Artificial Intelligence IEEE Computer 2020 (8); by Liming Chen, Huansheng Ning, Chris D. Nugent, Zhiwen Yu
2020	Interactive Artificial Intelligence: Designing for the "Two Black Boxes" Problem IEEE Computer 2020 (8); by John E. Wenskovitch, Chris North
2020	A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence IEEE Computer 2020 (8); by Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
2020	Is Artificial Intelligence Able to Help With Pain Assessment? IEEE Computer 2020 (7); by Elisabeth André
2020	The Top 10 Risks of Machine Learning Security IEEE Computer 2020 (6); by Gary McGraw, Richie Bonett, Victor Shepardson, Harold Figueroa
2020	Attacking Machine Learning Systems IEEE Computer 2020 (5); by Bruce Schneier
2020	Accelerators for Artificial Intelligence and High-Performance Computing IEEE Computer 2020 (2); by Dejan S. Milojicic

Software Engineering / IEEE Software

2020	Artificial Intelligence-Powered Worker Engagement in Software Crowdsourcing IEEE Software 2020 (6); by Junjie Wang, Ye Yang, Qing Wang
2020	The Interplay of Sampling and Machine Learning for Software Performance Prediction IEEE Software 2020 (4); by Christian Kaltenecker, Alexander Grebhahn, Norbert Siegmund, Sven Apel
2020	The Current State of Industrial Practice in Artificial Intelligence Ethics IEEE Software 2020 (4); by Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen, Pekka Abrahamsson
2020	Machine Learning Systems and Intelligent Applications IEEE Software 2020 (4); by William C. Benton
2020	Expert Perspectives on AI IEEE Software 2020 (4); by Anita D. Carleton, Erin Harper, Michael R. Lyu, Sigrid Eldh, Tao Xie, Tim Menzies
2020	Requirements Engineering in the Days of Artificial Intelligence IEEE Software 2020 (4); by Fabiano Dalpiaz, Nan Niu
2020	What Is Really Different in Engineering AI-Enabled Systems? IEEE Software 2020 (4); by Ipek Ozkaya
2020	The Diversity Crisis of Software Engineering for Artificial Intelligence IEEE Software 2020 (4); by Bram Adams, Foutse Khomh
2020	The AI Effect: Working at the Intersection of AI and SE IEEE Software 2020 (4); by Anita D. Carleton, Erin Harper, Tim Menzies, Tao Xie, Sigrid Eldh, Michael R. Lyu
2020	Deep Learning-Based Mobile Application Isomorphic GUI Identification for Automated Robotic Testing IEEE Software 2020 (4); by Tao Zhang, Ying Liu, Jerry Gao, Lipeng Gao, Jing Cheng
2020	Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE IEEE Software 2020 (3); by Nicole Novielli, Fabio Calefato, Filippo Lanubile
2020	The Five Laws of SE for AI IEEE Software 2020 (1); by Tim Menzies

Enterprise Computing / IEEE IT Professional

2020	Enhancing Artificial Intelligence Decision Making Frameworks to Support Leadership During Business Disruptions IEEE IT Professional 2020 (6); by Bhuvan Unhelkar, Tad Gonsalves
2020	"All Around Me Are Synthetic Faces": The Mad World of AI-Generated Media IEEE IT Professional 2020 (5); by Lucas Whittaker, Tim C. Kietzmann, Jan Kietzmann, Amir Dabirian
2020	Application of Cognitive Computing for Smart Crowd Management IEEE IT Professional 2020 (4); by Elizabeth B. Varghese, Sabu M. Thampi
2020	Towards Explainability in Machine Learning: The Formal Methods Way IEEE IT Professional 2020 (4); by Frederik Gossen, Tiziana Margaria, Bernhard Steffen
2020	Toward the Bleaching of the Black Boxes: Minimalist Machine Learning IEEE IT Professional 2020 (4); by Cornelio Yáñez-Márquez
2020	Artificial Intelligence in Developing Countries IEEE IT Professional 2020 (4); by Nir Kshetri
2020	Machine Learning in the Assessment of Meat Quality IEEE IT Professional 2020 (3); by Bryan W. Penning, Warren M. Snelling, M. Jennifer Woodward-Greene
2020	AI Recommender System With ML for Agricultural Research IEEE IT Professional 2020 (3); by Debra P. C. Peters, Heather M. Savoy, Geovany A. Ramírez, Haitao Huang
2020	Harnessing AI to Transform Agriculture and Inform Agricultural Research IEEE IT Professional 2020 (3); by Debra P. C. Peters, Adam R. Rivers, Jerry L. Hatfield, Danielle G. Lemay, Simon Liu, Bruno Basso
2020	Scaling Up Agricultural Research With Artificial Intelligence IEEE IT Professional 2020 (3); by Brandon T. Bestelmeyer, Guillermo Marcillo, Sarah E. McCord, Steven B. Mirsky, Glenn E. Moglen, Lisa G. Neven, Debra P. C. Peters, Clement Sohoulande, Tewodros T. Wakie
2020	Artificial Intelligence (AI) in Agriculture IEEE IT Professional 2020 (3); by Simon Y. Liu
2020	AI Down on the Farm IEEE IT Professional 2020 (3); by Kenneth A. Sudduth, M. Jennifer Woodward-Greene, Bryan W. Penning, Martin A. Locke, Adam R. Rivers, Kristen S. Veum
2020	Drought Stress Detection Using Low-Cost Computer Vision Systems and Machine Learning Techniques IEEE IT Professional 2020 (3); by Paula Jimena Ramos Giraldo, Chris Reberg-Horton, Anna M. Locke, Steven B. Mirsky, Edgar J. Lobaton
2020	What is Your Artificial Intelligence Strategy? IEEE IT Professional 2020 (2); by Sunil Mithas, San Murugesan, Priya Seetharaman

UX & Human Factors / ACM interactions

2020	Designing AI systems that make organizational knowledge actionable ACM interactions 2020 (6); by Denise J. Wilkins, Siân E. Lindley, Max Meijer, Richard Banks, Britta Burlin
2020	Interpretability as a dynamic of human-AI interaction ACM interactions 2020 (5); by Anja Thieme, Ed Cutrell, Cecily Morrison, Alex S. Taylor, Abigail Sellen
2020	Social work thinking for UX and AI design ACM interactions 2020 (2); by Desmond Upton Patton
2020	Machine learning applications: reflections on mental health assessment and ethics ACM interactions 2020 (2); by Anja Thieme, Danielle Belgrave, Akane Sano, Gavin Doherty

UX & Human Factors / IEEE Computer Graphics & Applications

2020	Challenges in Evaluating Interactive Visual Machine Learning Systems IEEE Computer Graphics & Applications 2020 (6); by Nadia Boukhelifa, Anastasia Bezerianos, Remco Chang, Christopher Collins, Steven Mark Drucker, Alexander Endert, Jessica Hullman, Christopher L. North, Michael Sedlmair, Theresa-Marie Rhyne
2020	Motion Primitives Classification Using Deep Learning Models for Serious Game Platforms IEEE Computer Graphics & Applications 2020 (4); by Nikolaos Bakalos, Ioannis Rallis, Nikolaos Doulamis, Anastasios D. Doulamis, Athanasios Voulodimos, Vassilios Vescoukis

Computing (specialised) / IEEE Intelligent Systems

2020	The Future of AI: AI's 10 To Watch IEEE Intelligent Systems 2020 (6); by V. S. Subrahmanian
2020	Toward Trustworthy and Responsible Artificial Intelligence Policy Development IEEE Intelligent Systems 2020 (5); by Raj Madhavan, Jaclyn A. Kerr, Amanda R. Corcos, Benjamin P. Isaacoff
2020	The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning IEEE Intelligent Systems 2020 (5); by Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao
2020	Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? IEEE Intelligent Systems 2020 (4); by Huadi Zheng, Haibo Hu, Ziyang Han
2020	Introduction to the Special Issue on Federated Machine Learning IEEE Intelligent Systems 2020 (4); by Yang Liu 0165, Han Yu, Qiang Yang
2020	Computer-Centered Humans: Why Human-AI Interaction Research Will Be Critical to Successful AI Integration in the DoD IEEE Intelligent Systems 2020 (4); by Eric S. Vorm, Prithviraj Dasgupta
2020	Special Issue on AI and FinTech: The Challenge Ahead IEEE Intelligent Systems 2020 (3); by Longbing Cao, George Yuan, Tim Leung, Wei Zhang
2020	Three Algorithms for Solving High-Dimensional Fully Coupled FBSDEs Through Deep Learning IEEE Intelligent Systems 2020 (3); by Shaolin Ji, Shige Peng, Ying Peng, Xichuan Zhang
2020	An AI Model for Oil Volatility Forecasting IEEE Intelligent Systems 2020 (3); by Fan Wang, Junqin Lin, Lijian Wei
2020	Stock Selection Model Based on Machine Learning with Wisdom of Experts and Crowds IEEE Intelligent Systems 2020 (2); by Xianjiao Wu, Qiang Ye, Hong Hong, Yijun Li
2020	Special Issue on AI and FinTech: The Challenge Ahead IEEE Intelligent Systems 2020 (2); by Longbing Cao, George Yuan, Tim Leung, Wei Zhang
2020	Battlefield Image Situational Awareness Application Based on Deep Learning IEEE Intelligent Systems 2020 (1); by Hui Peng, Yifan Zhang, Sen Yang, Bin Song

Hardware and Microprocessor Systems / IEEE Micro

2020	Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators IEEE Micro 2020 (6); by Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy
2020	Accelerating Chip Design With Machine Learning IEEE Micro 2020 (6); by Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally
2020	Machine Learning for Systems, Biological Computing, and More IEEE Micro 2020 (5); by Lizy Kurian John
2020	Machine Learning for Systems IEEE Micro 2020 (5); by Heiner Litz, Milad Hashemi
2020	MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance IEEE Micro 2020 (2); by Peter Mattson, Hanlin Tang, Gu-Yeon Wei, Carole-Jean Wu, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, David A. Patterson, Guenther Schmuelling
2020	Habana Labs Purpose-Built AI Inference and Training Processor Architectures: Scaling AI Training Systems Using Standard Ethernet With Gaudi Processor IEEE Micro 2020 (2); by Eitan Medina, Eran Dagan

Computing (specialised) / IEEE Internet Computing

2020	6G Vision: An AI-Driven Decentralized Network and Service Architecture IEEE Internet Computing 2020 (4); by Xiuquan Qiao, Yakun Huang, Schahram Dustdar, Junliang Chen
2020	Knowledge Graphs to Empower Humanity-Inspired AI Systems IEEE Internet Computing 2020 (4); by Hemant Purohit, Valerie L. Shalin, Amit P. Sheth
2020	Knowledge Graph Semantic Enhancement of Input Data for Improving AI IEEE Internet Computing 2020 (2); by Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao

Computing (specialised) / IEEE Computing in Science & Engineering

2020	Artificial Intelligence and Mobile Programming Courses for a Video Game Development Program in Chile IEEE Computing in Science & Engineering 2020 (4); by Nicolas A. Barriga, Felipe Besoain

Computing (specialised) / IEEE Security & Privacy

2020	Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery IEEE Security & Privacy 2020 (3); by Stefano Calzavara, Mauro Conti, Riccardo Focardi, Alvise Rabitti, Gabriele Tolomei

Computing (specialised) / IEEE Pervasive Computing

2020	Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit IEEE Pervasive Computing 2020 (3); by Gregory B. Rehm, Sang Hoon Woo, Xin Luigi Chen, Brooks T. Kuhn, Irene Cortes-Puch, Nicholas R. Anderson, Jason Y. Adams, Chen-Nee Chuah
2020	Multidisciplinary and Interdisciplinary Teaching in the Utrecht AI Program: Why and How? IEEE Pervasive Computing 2020 (2); by Christian P. Janssen, Rick Nouwen, Krista Overvliet, Frans Adriaans, Sjoerd Stuit, Tejaswini Deoskar, Ben Harvey, Andrew L. Kun
2020	Interpretable Machine Learning for Privacy-Preserving Pervasive Systems IEEE Pervasive Computing 2020 (1); by Benjamin Baron, Mirco Musolesi

UX & Human Factors / IEEE Multimedia

2020	Artificial Intelligence Fights Crime and Terrorism at a New Level IEEE Multimedia 2020 (2); by Bogdan Ionescu, Marian Ghenescu, Florin Rastoceanu, Razvan Roman, Marian Buric

Software Engineering / GOTO Conference Videos (FREE)

2020	Design Compact Deep Learning Models: Small is the New Big GOTO Conference Videos (FREE) 2020; by Davis Sawyer
2020	Keys to Building Machine Learning Systems GOTO Conference Videos (FREE) 2020; by Garrett Smith

Software Engineering / SE Radio Podcasts (FREE)

2020	Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning SE Radio Podcasts (FREE) 2020 Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning.
2020	Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning SE Radio Podcasts (FREE) 2020 Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning.

Computing (general) / PhD Theses

2020	Power, Performance and Scalability for Big Data Query Languages: The Machine Learning Challenge PhD Theses 2020 (1); by Jin Wang
2020	Utilizing Topological Structures of Data for Machine Learning PhD Theses 2020 (1); by Sourabh Palande
2020	Optimization, Robustness and Risk-Sensitivity in Machine Learning: A Dynamical Systems Perspective PhD Theses 2020 (1); by Kamil Nar
2020	Prediction of Isoform Functions and Interactions with ncRNAs via Deep Learning PhD Theses 2020 (1); by Dipan Lal Shaw
2020	Innovations in machine learning: interval latent variables, causal exposure mixtures, and clinical predictive modeling PhD Theses 2020 (1); by Chris J. Kennedy
2020	Machine learning approach for high speed link modeling and IBIS-AMI model generation PhD Theses 2020 (1); by Xinying Wang
2020	Improving Data Efficiency on Histopathology Image Analysis Using Deep Learning PhD Theses 2020 (1); by Wenyuan Li
2020	Automated discovery of machine learning optimizations PhD Theses 2020 (1); by Zhihao Jia
2020	Increasing the Robustness of Deep Learning Models Using Generative Networks PhD Theses 2020 (1); by Rajkumar Theagarajan
2020	Deep Learning in 3D Hand Pose and Mesh Estimation PhD Theses 2020 (1); by Liangjian Chen
2020	Approximate and Bit-width Configurable Arithmetic Logic Unit Design for Deep Learning Accelerator PhD Theses 2020 (1); by Xiaoliang Chen
2020	Deep Learning Models for Spatio-Temporal Forecasting and Analysis PhD Theses 2020 (1); by Reza Asadi
2020	Statistical Machine Learning & Deep Neural Networks Applied to Neural Data Analysis PhD Theses 2020 (1); by Hooshmand Shokri Razaghi
2020	Machine Learning-enabled Electrical Impedance Tomography for Single-cell Imaging PhD Theses 2020 (1); by Ablaikhan Akhazhanov
2020	Fast and Accurate Machine Learning on Distributed Systems and Supercomputers PhD Theses 2020 (1); by Yang You
2020	Threats and Countermeasures in Machine Learning Applications PhD Theses 2020 (1); by Chuan Guo
2020	Coercing machine learning to output physically accurate results PhD Theses 2020 (1); by Zhenglin Geng
2020	New Directions in Efficient Privacy-Preserving Machine Learning PhD Theses 2020 (1); by Sameer Wagh
2020	Human-Centered Machine Learning for Healthcare: Examples in Neurology and Pulmonology PhD Theses 2020 (1); by Vishwajith Ramesh
2020	Applications and Economic Impact of Machine Learning and Blockchain Technologies PhD Theses 2020 (1); by Nikhil Malik
2020	Accelerating Radiation Dose Calculation with High Performance Computing and Machine Learning for Large-scale Radiotherapy Treatment Planning PhD Theses 2020 (1); by Ryan Neph
2020	Applications of Machine Learning for Character Animation PhD Theses 2020 (1); by Stephen W. Bailey
2020	Robust Deep Learning in the Open World with Lifelong Learning and Representation Learning PhD Theses 2020 (1); by Kibok Lee
2020	Computational Imaging and Sensing in Diagnostics with Deep Learning PhD Theses 2020 (1); by Calvin Brown
2020	Large-Scale Optimization and Deep Learning Techniques for Data-Driven Signal Processing PhD Theses 2020 (1); by Omar DeGuchy
2020	Towards Literate Artificial Intelligence PhD Theses 2020 (1); by Mrinmaya Sachan
2020	Scene Representations for View Synthesis with Deep Learning PhD Theses 2020 (1); by Pratul P. Srinivasan
2020	Humans In Their Natural Habitat: Training AI to Understand People PhD Theses 2020 (1); by Gunnar A. Sigurdsson
2020	On Hyperparameter Optimization for Deep Learning PhD Theses 2020 (1); by Lars Hertel
2020	Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation PhD Theses 2020 (1); by Ali Hatamizadeh
2020	Counter-masquerading: a logicist-AI approach to interventionist strategies PhD Theses 2020 (1); by Rikhiya Ghosh
2020	AI enabled foreign language immersion : technology and method to acquire foreign languages with AI in immersive virtual worlds PhD Theses 2020 (1); by Rahul R. Divekar
2020	Interpretable machine learning for scientific discovery in regulatory genomics PhD Theses 2020 (1); by Avanti Shrikumar
2020	Preventing Multiple Comparisons Problems in Data Exploration and Machine Learning PhD Theses 2020 (1); by Nikos Koulouris
2020	Machine Learning-Enabled Optical Sensors and Devices PhD Theses 2020 (1); by Muhammed Veli
2020	Bridging machine learning and computational photography to bring professional quality into casual photos and videos PhD Theses 2020 (1); by Cecilia Zhang
2020	Performance benchmarking, analysis, and optimization of deep learning inference PhD Theses 2020 (1); by Cheng Li
2020	Machine Learning in IoT Systems: From Deep Learning to Hyperdimensional Computing PhD Theses 2020 (1); by Mohsen Imani
2020	Decoding Starlight with Big Survey Data, Machine Learning, and Cosmological Simulations PhD Theses 2020 (1); by Kirsten Nicole Blancato
2020	Understanding and mitigating privacy risk in machine learning systems PhD Theses 2020 (1); by Yunhui Long
2020	Towards efficient, on-demand and automated deep learning PhD Theses 2020 (1); by Jiahui Yu
2020	An Advanced Deep Learning and Computer Vision Framework for Precipitation Retrieval from Multi-spectral Satellite Information PhD Theses 2020 (1); by Negin Hayatbini
2020	Robust Machine Learning in Adversarial Setting with Provable Guarantee PhD Theses 2020 (1); by Yizhen Wang
2020	Similarity-principle-based machine learning method for clinical trials and beyond PhD Theses 2020 (1); by Susan Hwang
2020	Accelerating Numerical Simulations with Deep Learning PhD Theses 2020 (1); by Dong Hoon Kim
2020	Applications of Machine Learning and Deep Learning in Macroeconomic and Financial Forecasting PhD Theses 2020 (1); by Andi Cupallari
2020	Machine Learning in Adversarial Environments PhD Theses 2020 (1); by Chaowei Xiao
2020	From Fully-Supervised, Single-Task to Scarcely-Supervised, Multi-Task Deep Learning for Medical Image Analysis PhD Theses 2020 (1); by Abdullah-Al-Zubaer Imran
2020	Signal Models for Robust Deep Learning PhD Theses 2020 (1); by Soorya Gopalakrishnan
2020	Adaptive Strategies for Oscillatory Systems:Integrating Machine Learning and ControlTechniques with Applications in Neuroscience PhD Theses 2020 (1); by Timothy Matchen
2020	Timed execution in distributed machine learning PhD Theses 2020 (1); by Sayed Hadi Hashemi
2020	Machine Learning for Physiological Time Series: Representing and Controlling Blood Glucose for Diabetes Management PhD Theses 2020 (1); by Ian Fox
2020	Efficiency in Machine Learning with Focus on Deep Learning and Recommender Systems PhD Theses 2020 (1); by Amy Nesky
2020	Can Machine Learning Help People Configure Their Mobile App Privacy Settings? PhD Theses 2020 (1); by Bin Liu
2020	Stochastic Analog Computation for Machine Learning PhD Theses 2020 (1); by Michael Y.-S. Fang
2020	End-to-End Machine Learning Frameworks for Medicine: Data Imputation, Model Interpretation and Synthetic Data Generation PhD Theses 2020 (1); by Jinsung Yoon
2020	Machine Learning with Provable Robustness Guarantees PhD Theses 2020 (1); by Huan Zhang
2020	Learning more with less data using domain-guided machine learning: the case for health data analytics PhD Theses 2020 (1); by Yogatheesan Varatharajah
2020	Machine Learning Applications for Drug Repurposing PhD Theses 2020 (1); by Hansaim Lim
2020	Practical machine learning for sequential decision problems on the internet PhD Theses 2020 (1); by Yu Yan
2020	Machine Learning in Compiler Optimization PhD Theses 2020 (1); by Ameer Haj-Ali
2020	Feature network methods for machine learning PhD Theses 2020 (1); by Xinying Mu
2020	Multiscale Modeling of General Grain Boundaries: From Computing Grain Boundary Diagrams to Machine Learning to Deciphering the Physical Mechanism of Segregation PhD Theses 2020 (1); by Chongze Hu
2020	Machine learning for microbial ecology: predicting interactions and identifying their putative mechanisms PhD Theses 2020 (1); by Demetrius DiMucci
2020	Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System PhD Theses 2020 (1); by Hal James Cooper
2020	Out of Distribution Generalization in Machine Learning PhD Theses 2020 (1); by Martín Arjovsky
2020	Efficient preference learning for AI-powered group decision-making PhD Theses 2020 (1); by Zhibing Zhao
2020	Cryptographic approaches to security and optimization in machine learning PhD Theses 2020 (1); by Kevin Shi
2020	Geometric Sampling Theory, Triangulations, and Robust Machine Learning PhD Theses 2020 (1); by Marc Khoury
2020	Using Sensors and AI to Enable On-Demand Virtual Physical Therapist and Balance Evaluation at Home PhD Theses 2020 (1); by Wenchuan Wei
2020	3D Geometric Deep Learning and its Engineering Applications PhD Theses 2020 (1); by Chiyu Jiang
2020	Machine Learning Methods for Causal Inference with Observational Biomedical Data PhD Theses 2020 (1); by Amelia J. Averitt
2020	Machine Learning and Statistical Verification for Security. (Apprentissage et Vérification Statistique pour la Sécurité) PhD Theses 2020 (1); by Dimitri Antakly
2020	Deep Learning and Information Geometry for Time-Series Classification. (Apprentissage Profond et G om trie de L'Information pour la Classification de Signaux Temporels) PhD Theses 2020 (1); by Matthieu Cord
2020	Transparent approach based on deep learning and multiagent argumentation for hypertension management. (Approche transparente basée sur l'apprentissage profond et l'argumentation multiagents pour la gestion de l'hypertension) PhD Theses 2020 (1); by Naziha Sendi
2020	Machine learning based localization in 5G. (Localisation basée sur l'apprentissage artificielle en 5G) PhD Theses 2020 (1); by Abdallah Sobehy
2020	Deep learning for multivariate time series : from vehicle control to gesture recognition and generation. (Apprentissage profond pour les séries temporelles multivariées : contrôle de véhicule autonome, reconnaissance de gestes et génération de mouvement) PhD Theses 2020 (1); by Guillaume Devineau
2020	Random Matrix Theory for AI: From Theory to Practice. (Théorie des matrices aléatoires pour l'IA: De la théorie à la pratique) PhD Theses 2020 (1); by Mohamed El Amine Seddik
2020	Apprentissage profond pour l'analyse de la qualité des pommes de terre. (Deep learning for potato quality analysis) PhD Theses 2020 (1); by Sofia Marino
2020	Deep learning applications for the diagnosis of retinal inherited diseases using fundus autofluorescence imaging. (Classification de maladies héréditaires rétiniennes par apprentissage profond sur des images d'autofluorescence du fond d'oeil) PhD Theses 2020 (1); by Alexandra Miere
2020	Anomaly-based network intrusion detection using machine learning. (Détection d'intrusion réseau par anomalies avec apprentissage automatique) PhD Theses 2020 (1); by Maxime Labonne
2020	A scalable and component-based deep learning parallelism platform : an application to convolutional neural networks for medical imaging segmentation. (Une plateforme d'apprentissage profond à base de composants qui passe à l'échelle : une application aux réseaux de neurones convolutionnels pour la segmentation en imagerie médicale) PhD Theses 2020 (1); by Soulaimane Guedria
2020	Fusion de segmentations complémentaires d'images médicales par Intelligence Artificielle et autres méthodes de gestion de conflits. (Fusion of complementary segmentations of medical images using Artificial Intelligence and other conflict management methods) PhD Theses 2020 (1); by Lisa Corbat
2020	Uncertainty in predictions of deep learning models for fine-grained classification. (Incertitude des prédictions dans les modèles d'apprentissage profonds appliqués à la classification fine) PhD Theses 2020 (1); by Titouan Lorieul
2020	Autotuning with machine learning of OpenMP task applications. (Autotuning assisté par apprentissage automatique de tâches OpenMP) PhD Theses 2020 (1); by Luís Felipe Garlet Milani
2020	Synthèse audiovisuelle de la parole expressive : modélisation des émotions par apprentissage profond. (Audiovisual synthesis of expressive speech : modeling of emotions with deep learning) PhD Theses 2020 (1); by Sara Dahmani
2020	Vision-based Multi-robot Tracking of a Target with Aerial and Ground Robots: Occlusion Avoidance and Deep Learning Tracking for Aerial Robots PhD Theses 2020 (1); by Vamshi Kodipaka
2020	Unsupervised and weakly supervised deep learning methods for computer vision and medical imaging. (Méthodes non-supervisées et faiblement supervisées d'apprentissage profond pour la vision par ordinateur et l'imagerie médicale) PhD Theses 2020 (1); by Mihir Sahasrabudhe
2020	Application of machine learning techniques for evidential 3D perception, in the context of autonomous driving. (Application de l'apprentissage machine pour la perception crédibiliste 3D, dans le contexte de la conduite autonome) PhD Theses 2020 (1); by Edouard Capellier
2020	Mesure de l'intégrité d'une image: des modèles physiques aux modèles d'apprentissage profond. (Image Integrity Measuring: From Physical Models to Deep Learning Models) PhD Theses 2020 (1); by Boubacar Diallo
2020	Assisted strategic monitoring on call for tender databases using natural language processing, text mining and deep learning. (Veille stratégique assistée sur des bases de données d'appels d'offres par traitement automatique de la langue naturelle, fouille de textes et apprentissage profond) PhD Theses 2020 (1); by Oussama Ahmia
2020	Structures for deep learning and topology optimization of functions on 3D shapes. (Structures pour l'apprentissage profond et l'optimisation de la topologie de fonctions sur les formes 3D) PhD Theses 2020 (1); by Adrien Poulenard
2020	Apport des modèles neuronaux de bout-en-bout pour la compréhension automatique de la parole dans l'habitat intelligent. (Contribution of end-to-end deep learning models for spoken language understanding in smart homes) PhD Theses 2020 (1); by Thierry Desot
2020	Analyse d'images par méthode de Deep Learning appliquée au contexte routier en conditions météorologiques dégradées. (Image analysis using Deep Learning method applied to road context in degraded weather conditions) PhD Theses 2020 (1); by Khouloud Dahmane
2020	Apprentissage artificiel quantique. (Quantum Enhanced Machine Learning) PhD Theses 2020 (1); by Kaoutar Benlamine
2020	Anti-Abuse Protection of Online Social Networks using Machine Learning. (Protection Anti-Abus de Réseaux Sociaux Numériques par Apprentissage Statistique) PhD Theses 2020 (1); by Nour El-Mawass
2020	Deep Learning for Action Recognition in Videos. (Apprentissage profond pour la reconnaissance d'actions en vidéos) PhD Theses 2020 (1); by Ahmed Mazari
2020	Solving Jigsaw Puzzles with Deep Learning for Heritage. (Résolution automatique de puzzles par apprentissage profond) PhD Theses 2020 (1); by Marie-Morgane Paumard
2020	Risques et perspectives du big data et de l'intelligence artificielle : approche éthique et épistémologique. (Risks and perspectives of big data and artificial intelligence : ethical and epistemological approach) PhD Theses 2020 (1); by Relwendé Aristide Yameogo
2020	Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring. (Apprentissage pour la détection d'anomalies, avec application au contrôle de qualité d'acquisition de données de l'expérience Compact Muon Solenoid) PhD Theses 2020 (1); by Adrian Alan Pol
2020	Enhancing Performance and Explainability of Multivariate Time Series Machine Learning Methods: Applications for Social Impact in Dairy Resource Monitoring and Earthquake Early Warning. (Amélioration de la Performance et de l'Explicabilité des Méthodes d'Apprentissage Automatique de Séries Temporelles Multivariées) PhD Theses 2020 (1); by Kevin Fauvel
2020	Deep learning techniques for graph embedding at different scales. (Application du deep learning pour la représentation de graphes à différentes échelles) PhD Theses 2020 (1); by Alexis Galland
2020	Prédiction de l'issue lésionnelle et clinique de l'accident vasculaire cérébral par des approches d'apprentissage automatique. (Prediction of lesion and clinical outcome of stroke using an artificial intelligence approach) PhD Theses 2020 (1); by Noëlie Debs
2020	Machine Learning meets real-time Numerical Simulation - Application to surgical training, preoperative planning and surgical assistance. (Combinaison entre simulation numérique etapprentissage automatique - Applications à la formation, la planification préopératoire et l'assistance peropératoire) PhD Theses 2020 (1); by Andrea Mendizabal
2020	Apprentissage profond bout-en-bout pour le rehaussement de la parole. (End-to-end deep learning for speech enhancement) PhD Theses 2020 (1); by Guillaume Carbajal
2020	Machine learning methods for privacy protection : leakage measurement and mechanisms design. (Méthodes d'apprentissage machine pour la protection de la vie privée : mesure de leakage et design des mécanismes) PhD Theses 2020 (1); by Marco Romanelli
2020	Robust Medical Image Registration and Motion Modeling based on Machine Learning. (Le recalage robuste d'images médicales et la modélisation du mouvement basée sur l'apprentissage profond) PhD Theses 2020 (1); by Julian Krebs
2020	Few group cross section modeling by machine learning for nuclear reactor. (Amélioration du modèle reconstruction des sections efficaces dans un code de calcul de neutronique à l'échelle cœur) PhD Theses 2020 (1); by Esteban Alejandro Szames
2020	Unsupervised Satellite Image Time Series Analysis using Deep Learning Techniques. (Analyse Non-supervisée de Séries d'Images Satellites avec des Méthodes d'Apprentissage Profond) PhD Theses 2020 (1); by Ekaterina Kalinicheva
2020	Deep learning for visual semantic segmentation. (Apprentissage profond pour la segmentation sémantique d'images) PhD Theses 2020 (1); by Yifu Chen
2020	Deep learning, Inertial Measurements Units, and Odometry: Some Modern Prototyping Techniques for Navigation Based on Multi-Sensor Fusion. (Apprentissage profond, centrales inertielles et odométrie: méthodes de prototypage modernes pour la navigation basée sur la fusion de capteurs) PhD Theses 2020 (1); by Martin Brossard
2020	Deep learning for time series classification. (Apprentissage profond pour la classification des séries temporelles) PhD Theses 2020 (1); by Hassan Ismail Fawaz
2020	Compression de données et apprentissage en profondeur pour les applications de santé IoT basées sur des signaux physiologiques. (Data compression and deep learning for IoT healthcare applications based on physiological signals) PhD Theses 2020 (1); by Joseph Azar
2020	Towards a better comprehension of deep learning for side-channel analysis. (Vers une meilleure compréhension de l'apprentissage profond appliqué aux attaques par observations) PhD Theses 2020 (1); by Loïc Masure
2020	Hardware Accelerators for Machine Learning Applications. Case Study: Autonomous Vehicles. (Accélérateurs Matériels pour l'Intelligence Artificielle. Etude de Cas : Voitures Autonomes) PhD Theses 2020 (1); by Mohamed Ayoub Neggaz
2020	Stochastic optimization for large-scale machine learning: variance reduction and acceleration. (Optimisation stochastique pour l'apprentissage machine à grande échelle: réduction de la variance et accélération) PhD Theses 2020 (1); by Andrei Kulunchakov
2020	Internet des objets et intelligence artificielle pour les pompiers de demain. (Towards smart firefighting using the internet of things and machine learning) PhD Theses 2020 (1); by Gaby Bou Tayeh
2020	Apprentissage machine appliqué à l'analyse et à la prédiction des défaillances dans les systèmes HPC. (Machine learning applied to the analysis and the prediction of failures in HPC systems) PhD Theses 2020 (1); by Marc Platini
2020	Exploring deep learning techniques in the task of English-Arabic Machine Translation. (Exploration des techniques de l'apprentissage profond au service de la traduction automatique Anglais-Arabe) PhD Theses 2020 (1); by Mohamed Seghir Hadj Ameur
2020	Variational deep learning for time series modelling and analysis : applications to dynamical system identification and maritime traffic anomaly detection. (Apprentissage variationnel profond pour la modélisation et l'analyse de séries temporelles : applications à l'identification de systèmes dynamiques et à la détection d'anomalies de trafic maritime) PhD Theses 2020 (1); by Duong Nguyen
2020	Machine Learning on Population Imaging for Mental Health. (Apprentissage statistique sur l'imagerie de population pour la santé mentale) PhD Theses 2020 (1); by Kamalaker Dadi
2020	Recognition of Mexican cultural content with Deep learning networks. (Reconnaissance du patrimoine Mexicaine sous forme numérique par des réseaux d'apprentissage profond) PhD Theses 2020 (1); by Abraham Montoya Obeso
2020	Digital watermarking for PDF documents and images : security, robustness and AI-based attack. (Tatouage numérique pour les documents PDF et images : sécurité, robustesse et attaque basée sur l'IA) PhD Theses 2020 (1); by Makram W. Hatoum
2020	L'Apprentissage Profond pour l'Évaluation et leRetour d'Information lors de l'Apprentissage deGestes. (Deep learning for evaluation and feedback when learning gestures) PhD Theses 2020 (1); by Mégane Millan
2020	Optimization of fast deep learning models for audio analysis and synthesis. (Optimisation de modèles d'apprentissage rapides pour l'analyse et la synthèse audio) PhD Theses 2020 (1); by Alexandre Défossez
2020	Machine learning to predict impulse control disorders in Parkinson's disease. (Apprentissage automatique pour la prédiction des troubles du contrôle des impulsions dans la maladie de Parkinson) PhD Theses 2020 (1); by Johann Faouzi
2020	Utilisation de l'intelligence artificielle pour les procédures de curiethérapie prostatique guidée par l'image. (Artificial intelligence for image-guided prostate brachytherapy procedures) PhD Theses 2020 (1); by Kibrom Berihu Girum
2020	Intrusion detection and prevention for IoT systems using Machine Learning. (Détection et prévention des intrusions pour les systèmes IoT en utilisant des techniques d'apprentissage) PhD Theses 2020 (1); by Nadia Chaabouni
2020	Structured deep learning for video analysis. (Apprentissage profond structuré pour l'analyse de vidéos) PhD Theses 2020 (1); by Fabien Baradel
2020	The interplay of machine learning and metaheuristics. (Les interactions entre le machine learning et la métaheuristique) PhD Theses 2020 (1); by Hojjat Rakhshani
2020	High-performance dense tensor and sparse matrix kernels for machine learning. (Noyaux de calcul haute-performance de tenseurs denses et matrices creuses pour l'apprentissage automatique) PhD Theses 2020 (1); by Filip Pawlowski
2020	Apprentissage profond sous contraintes biomédicales pour la prédiction de la glycémie future de patients diabétiques. (Deep learning under biomedical constraints for the forecasting of glucose of diabetic patients) PhD Theses 2020 (1); by Maxime De Bois
2020	Sequential machine learning for intelligent tutoring systems. (Apprentissage automatique séquentiel pour les systèmes éducatifs intelligents) PhD Theses 2020 (1); by Julien Seznec
2020	Deep Learning for Seismic Data Processing and Interpretation. (Applications de l'Apprentissage Profond pour le Traitement et l'Interprétation Sismique) PhD Theses 2020 (1); by Valentin Tschannen
2020	Multispectral images-based background subtraction using Codebook and deep learning approaches. (Soustraction d'arrière-plan par images multispectrales avec les méthodes Codebook et apprentissage profond) PhD Theses 2020 (1); by Rongrong Liu
2020	Deep learning for computational phenotyping in cell-based assays. (Apprentissage profond pour le phénotypage computationnel dans les essais cellulaires) PhD Theses 2020 (1); by Joseph Boyd
2020	Detecting and visualizing anomalies in heterogeneous network events : Modeling events as graph structures and detecting communities and novelties with machine learning. (Détection et visualisation d'anomalies dans des événements réseaux hétérogènes : modélisation des événements sous forme de graphes et détection de communautés et de nouveautés grâce à l'apprentissage automatique) PhD Theses 2020 (1); by Laetitia Leichtnam
2020	Mean-field methods and algorithmic perspectives for high-dimensional machine learning. (Méthodes à champ moyen et perspectives algorithmiques pour l'apprentissage automatique en haute dimension) PhD Theses 2020 (1); by Benjamin Aubin
2020	Personalized Expression Synthesis Using a Hybrid Geometric Machine Learning Method and Mental Representation Analysis of Joyful Expression. (Synthèse personnalisée de l'expression de joie à l'aide d'une méthode hybride géométrique-apprentissage automatique et analyse de représentations mentales de la joie) PhD Theses 2020 (1); by Sarra Zaied
2020	Résolution de problèmes réalistes de tournées à flotte hétérogène en milieu urbain : vers un solveur adaptatif mêlant recherche opérationnelle et apprentissage automatique. (Solving realistic vehicle routing problems with heterogeneous fleet in urban environments : towards an adaptive solver combining operations research and machine learning) PhD Theses 2020 (1); by Flavien Lucas
2020	Contributions to data confidentiality in machine learning by means of homomorphic encryption. (Confidentialité des données de l'apprentissage machine par chiffrement homomorphe) PhD Theses 2020 (1); by Martin Zuber
2020	Combining machine learning and reference-free transcriptome analysis for the identification of prostate cancer signatures. (Combiner apprentissage automatique et analyse transcriptomique sans référence pour l'identification de signatures du cancer de la prostate) PhD Theses 2020 (1); by Thi Ngoc Ha Nguyen
2020	Machine Learning to Infer User Behavior in 5G Autonomic Networks. (Apprentissage automatique pour déduire le comportement des utilisateurs dans les réseaux autonomes 5G) PhD Theses 2020 (1); by Illyyne Saffar
2020	L'apprentissage profond pour le traitement des images. (Deep learning methods for histopathological images classification) PhD Theses 2020 (1); by Nassima Dif
2020	Deep Learning for Chairlift Scene Analysis: Boosting Generalization in Multi-Domain Context. (Apprentissage profond pour l'analyse de scènes de remontées mécaniques: amélioration de la généralisation dans un contexte multi-domaines) PhD Theses 2020 (1); by Hiba Alqasir
2020	On the impact of randomization on robustness in machine learning. (Impact de la randomisation sur la robustesse des modèles d'apprentissage supervisé) PhD Theses 2020 (1); by Rafael Pinot
2020	Deep Learning and Information Geometry for Time-Series Classification. (Apprentissage profond et géométrie de l'information pour la classification de signaux temporels) PhD Theses 2020 (1); by Daniel Brooks
2020	Machine learning and quantum phases of matter. (Méthodes d'apprentissage automatique et phases quantiques de la matière) PhD Theses 2020 (1); by Hugo Théveniaut
2020	Introduction of musical knowledge and qualitative analysis in chord extraction and prediction tasks with machine learning. (Introduction de connaissances musicales et analyse qualitative pour les tâches d'extraction et de prédiction d'accords par apprentissage machine) PhD Theses 2020 (1); by Tristan Carsault
2020	Applications of machine learning to the resolution of recurrent combinatorial optimization problems. (Applications d'apprentissage automatique à la résolution de problèmes récurrents en optimisation combinatoire) PhD Theses 2020 (1); by Luca Mossina
2020	Machine Learning for Financial Products Recommendation. (Apprentissage Statistique pour la Recommandation de Produits Financiers) PhD Theses 2020 (1); by Baptiste Barreau
2020	Graphs for deep learning representations. (Graphes pour représenter les espaces latents des réseaux neuronaux profonds) PhD Theses 2020 (1); by Carlos Eduardo Rosar Kós Lassance
2020	Machine Learning Models for Predictive Maintenance PhD Theses 2020 (1); by Sergii Voronov
2020	Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining PhD Theses 2020 (1); by Eva García Martín
2020	Privacy-guardian: the vital need in machine learning with big data PhD Theses 2020 (1); by Xuan-Son Vu
2020	Understanding the Impact of Experimental Design Choices on Machine Learning Classifiers in Software Analytics PhD Theses 2020 (1); by Gopi Krishnan Rajbahadur
2020	From Business Goals to Analytics and Machine Learning Solutions: A Conceptual Modeling Framework PhD Theses 2020 (1); by Soroosh Nalchigar
2020	Multimodal machine learning for intelligent mobility PhD Theses 2020 (1); by Jamie Roche
2020	Colour for the advancement of deep learning in computer vision PhD Theses 2020 (1); by Asei Akanuma
2020	On the granting of moral standing to artificial intelligence: a pragmatic, empirically-informed, desire-based approach PhD Theses 2020 (1); by Nicholas Novelli
2020	Applications of machine learning methods in financial markets PhD Theses 2020 (1); by Adriano Soares Koshiyama
2020	Beyond traditional assumptions in fair machine learning PhD Theses 2020 (1); by Niki Kilbertus
2020	Face recognition using feature fusion and deep learning PhD Theses 2020 (1); by Xin Wei
2020	Machine learning for classification of ADHD PhD Theses 2020 (1); by Atif Riaz
2020	Deep learning in the factory of the future PhD Theses 2020 (1); by Benjamin Schnieders
2020	Putting artificial intelligence into wearable human-machine interfaces: towards a generic, self-improving controller PhD Theses 2020 (1); by Marcel Admiraal
2020	Advances in learning and understanding with graphs through machine learning PhD Theses 2020 (1); by Stephen Bonner
2020	The role of machine learning in personalised instructional sequencing for language learning PhD Theses 2020 (1); by Ahmed H. Zaidi
2020	A smart edge computing resource, formed by on-the-go networking of cooperative nearby devices using an AI-offloading engine, to solve computationally intensive sub-tasks for mobile cloud services PhD Theses 2020 (1); by Ali Al-ameri
2020	Toward efficient deep learning with sparse neural networks PhD Theses 2020 (1); by Namhoon Lee
2020	Interpretable Deep Learning: beyond feature-importance with concept-based explanations PhD Theses 2020 (1); by Botty Dimanov
2020	Machine learning for human activity detection in smart homes PhD Theses 2020 (1); by Anastasios Vafeiadis
2020	Machine learning classification for advanced malware detection PhD Theses 2020 (1); by Fabio Di Troia
2020	Converting to optimization in machine learning: Perturb-and-MAP, differential privacy, and program synthesis PhD Theses 2020 (1); by Matej Balog
2020	Structure-aware machine learning over multi-relational databases PhD Theses 2020 (1); by Maximilian-Joel Schleich
2020	Gaussian processes based transfer learning for online multiple-person tracking and building blocks for deep learning PhD Theses 2020 (1); by Baobing Zhang
2020	Effective features and machine learning methods for human recognition based on multi-biometric systems PhD Theses 2020 (1); by Inas Al-Taie
2020	Deep learning uncovers genomic features of cell-type and state PhD Theses 2020 (1); by Mike Phuycharoen
2020	Interactive machine learning for user-innovation toolkits: an action design research approach PhD Theses 2020 (1); by José Francisco da Cruz Bernardo
2020	Deep learning on semi-structured data and its applications to video-game AI PhD Theses 2020 (1); by William Woof
2020	Deep learning based approaches for cost effective short-term energy load forecasting and consumer behaviour modelling in households PhD Theses 2020 (1); by Ghulam Mohi Ud Din
2020	Machine learning for acoustic mosquito detection PhD Theses 2020 (1); by Ivan Kiskin
2020	Adaptive frameworks for robust myoelectric hand gesture prediction using machine learning and deep learning PhD Theses 2020 (1); by Carl Peter Robinson
2020	Machine learning ensemble methods for classifying multi-media data PhD Theses 2020 (1); by Saleh Alyahyan
2020	Video understanding using multimodal deep learning PhD Theses 2020 (1); by Arsha Nagrani
2020	Machine learning developments in dependency modelling and feature extraction PhD Theses 2020 (1); by Dorota Toczydlowska
2020	Rational Krylov methods and machine learning approaches to time series forecasting PhD Theses 2020 (1); by Steven Elsworth
2020	Deep learning for music information retrieval in limited data scenarios PhD Theses 2020 (1); by Daniel Stoller
2020	Event structure detection and representation using deep learning PhD Theses 2020 (1); by Kurt Junshean Espinosa
2020	Machine learning, robotics and neuroplasticity PhD Theses 2020 (1); by Sotiris Kakanos
2020	Face sketch recognition using deep learning PhD Theses 2020 (1); by Liang Fan
2020	Continual learning for efficient machine learning PhD Theses 2020 (1); by Arslan Chaudhry
2020	Machine learning-based low-pixel object recognition from unmanned aerial vehicles PhD Theses 2020 (1); by Ignacio Martinez-Alpiste
2020	Deep learning driven tool wear identification and remaining useful life prediction PhD Theses 2020 (1); by Xiaoyang Zhang
2020	Hand gesture recognition using deep learning neural networks PhD Theses 2020 (1); by Norah Alnaim
2020	Artificial intelligence techniques for driver fatigue detection PhD Theses 2020 (1); by Nabil Yassine
2020	Spectral machine learning PhD Theses 2020 (1); by Diego Granziol
2020	Scaling machine learning systems using domain adaptation PhD Theses 2020 (1); by Akhil Mathur
2020	Between integrals and optima: new methods for scalable machine learning PhD Theses 2020 (1); by Chris J. Maddison
2020	An investigation into image-based indoor localization using deep learning PhD Theses 2020 (1); by Qing Li
2020	Personalisation of machine learning models for human activity recognition PhD Theses 2020 (1); by Federico Cruciani
2020	Deep learning for time series prediction and decision making over time PhD Theses 2020 (1); by Bryan Lim
2020	Evolving machine learning and deep learning models using evolutionary algorithms PhD Theses 2020 (1); by Hailun Xie
2020	Age-related facial analysis with deep learning PhD Theses 2020 (1); by Haoyi Wang
2020	Graph deep learning models for network-based spatio-temporal data forecasting: from dense to sparse PhD Theses 2020 (1); by Yang Zhang
2020	The Gauss-Newton matrix for Deep Learning models and its applications PhD Theses 2020 (1); by Aleksandar Botev
2020	Improving training and inference for embedded machine learning PhD Theses 2020 (1); by Jia Bi
2020	Deep learning for compilers PhD Theses 2020 (1); by Christopher Edward Cummins
2020	Machine learning advances for practical problems in computer vision PhD Theses 2020 (1); by Philip T. G. Jackson
2020	Assessing patho-physiological responses to physical activity from body-worn sensors: an application of machine learning PhD Theses 2020 (1); by Samuel Adema
2020	Inventing intelligence: on the history of complex information processing and artificial intelligence in the United States in the mid-twentieth century PhD Theses 2020 (1); by Jonathan Penn
2020	Machine learning modelling, optimisation and thermal compensation of photonic waveguides PhD Theses 2020 (1); by Sunny Chugh
2020	Detecting distributed denial of service attacks in IPv6 by using artificial intelligence techniques PhD Theses 2020 (1); by Abeer Abdullah Alsadhan
2020	Methods for large-scale data analysis & machine learning for intelligent image processing PhD Theses 2020 (1); by Stephen Green
2020	Video foreground segmentation with deep learning PhD Theses 2020 (1); by Dimitris Sakkos
2020	Signatures in machine learning and finance PhD Theses 2020 (1); by Imanol Pérez Arribas
2020	Development of bearing fault diagnostics methodology based on signal processing and machine learning tools PhD Theses 2020 (1); by Krisztián Deák
2020	Intrusion detection by machine learning PhD Theses 2020 (1); by Csaba Brunner
2020	Data-Aware Privacy-Preserving Machine Learning PhD Theses 2020 (1); by Aleksei Triastcyn
2020	Application of Deep Learning for Inspection in Industrial Overhaul Processes PhD Theses 2020 (1); by Benjamin Taheri
2020	Machine Learning Techniques and Optical Systems for Iris Recognition from Distant Viewpoints PhD Theses 2020 (1); by Florian S. Langgartner
2020	Understanding and controlling leakage in machine learning PhD Theses 2020 (1); by Tribhuvanesh Orekondy
2020	Scalable 3D deep learning: methods and applications PhD Theses 2020 (1); by Maxim Tatarchenko
2020	Deep Learning-based 3D Hand Pose and Shape Estimation from a Single Depth Image: Methods, Datasets and Application PhD Theses 2020 (1); by Muhammad Jameel Nawaz Malik
2020	The way to a smarter community: exploring and exploiting data modeling, big data analytics, high-performance computing and artificial intelligence techniques for applications of 2D energy-dispersive detectors in the crystallography community PhD Theses 2020 (1); by Amir Tosson
2020	Cyclic motion analysis using inertial sensors and machine learning = Zyklische Bewegungsanalyse mit Inertialsensoren und maschinellem Lernen PhD Theses 2020 (1); by Christine Martindale
2020	Spiking neural models & machine learning for systems neuroscience: Learning, Cognition and Behavior PhD Theses 2020 (1); by Hannes Rapp
2020	Deep Learning for Detection and Segmentation in High-Content Microscopy Images PhD Theses 2020 (1); by Thomas Sebastian Wollmann
2020	From supervised to unsupervised machine learning methods for brain-computer interfaces and their application in language rehabilitation PhD Theses 2020 (1); by David Hübner
2020	Towards a theory for designing machine learning systems for complex decision making problems PhD Theses 2020 (1); by Schahin Tofangchi
2020	GPU-enabled real-time pavement distress detection based on computer vision and deep learning PhD Theses 2020 (1); by Kristina Doycheva
2020	Machine Learning-based Test Strategies for Self-Adaptive Systems PhD Theses 2020 (1); by André Reichstaller
2020	Structure, Dynamics and Self-Organization in Recurrent Neural Networks: From Machine Learning to Theoretical Neuroscience PhD Theses 2020 (1); by Pau Vilimelis Aceituno
2020	Behavioral Economics - Enhanced: Machine Learning and Decision Making PhD Theses 2020 (1); by Carina Ines Hausladen
2020	Computer vision and machine learning in sustainable mobility: the case of road surface defects PhD Theses 2020 (1); by Sromona Chatterjee
2020	Data driven information systems development for health-positive behavior and mental wellbeing: yielding synergies from utilizing health data, mobile services, and artificial intelligence PhD Theses 2020 (1); by Max-Marcel Theilig
2020	Machine Learning to Elucidate Mechanisms of Human Cognition and Epilepsy PhD Theses 2020 (1); by Amirhossein Jahanbekam
2020	Deep Learning als Virtual-High-Throughput-Screening-Methode unter Verwendung von gerasterten Molekülstrukturen PhD Theses 2020 (1); by Patrick Winter
2020	Variational and Deep Learning Approaches for Intrinsic Light Field Decomposition PhD Theses 2020 (1); by Anna Alperovich
2020	Machine learning in cardiac CT image reconstruction PhD Theses 2020 (1); by Tanja Lossau
2020	Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography PhD Theses 2020 (1); by Yixing Huang
2020	Machine learning acceleration for tightly energy-constrained devices PhD Theses 2020 (1); by Renzo Andri
2020	Solving Machine Learning Problems with Biological Principles PhD Theses 2020 (1); by Luziwei Leng
2020	Application of Deep Learning Methods in Computational Paralinguistics PhD Theses 2020 (1); by Raymond Brueckner
2020	Machine Learning on Graphs in the Presence of Noise and Adversaries PhD Theses 2020 (1); by Aleksandar Bojchevski
2020	Machine Learning for Instance Segmentation PhD Theses 2020 (1); by Steffen Wolf
2020	Machine Learning as a Mean to Uncover Latent Knowledge from Source Code PhD Theses 2020 (1); by Ervina Çergani
2020	Model-driven software development and verification solutions for safety critical battery management systems: a quantitative evaluation of probabilistic inference & artificial intelligence methods PhD Theses 2020 (1); by Christian Fleischer
2020	Machine learning in economics PhD Theses 2020 (1); by Martin Kies
2020	Why is Machine Learning Security so hard? PhD Theses 2020 (1); by Kathrin Grosse
2020	Robust deep learning for computer vision to counteract data scarcity and label noise PhD Theses 2020 (1); by Duc Tam Nguyen
2020	Deep Learning With Sentiment Inference For Discourse-Oriented Opinion Analysis PhD Theses 2020 (1); by Ana Marasovic
2020	Machine Learning Tool for Transmission Capacity Forecasting of Overhead Lines based on Distributed Weather Data PhD Theses 2020 (1); by Gabriela Alejandra Molinar Torres
2020	Adopting Machine Learning Technology for the Classification of Parkinson's Disease PhD Theses 2020 (1); by Farhan Mohammed
2020	A 60 GHz Chipless RFID System Using Artificial Intelligence PhD Theses 2020 (1); by Larry M. Arjomandi
2020	AI-driven Service Broker for Simple and Composite Cloud SaaS Selection PhD Theses 2020 (1); by Mohammed Abdulaziz Ikram
2020	Technical considerations for the application of deep learning methods for multimodal emotion recognition PhD Theses 2020 (1); by Nikodem Rybak
2020	Moral Markov Blankets: An Investigation of Some Properties and Value for Machine Learning PhD Theses 2020 (1); by Yang Li
2020	Intelligent Fault Diagnosis of Reciprocating Compressor Using Deep Learning Methods PhD Theses 2020 (1); by Ying Zhang
2020	Intelligent Machine Learning Architecture for Detecting DDoS attacks in IoT networks PhD Theses 2020 (1); by Yahya Al-Hadhrami
2020	Game theoretical adversarial deep learning algorithms for robust neural network models PhD Theses 2020 (1); by Chaoyue Wang, Aneesh Sreevallabh Chivukula
2020	Characterisation of organs in a post-mortem computed tomography database using machine learning PhD Theses 2020 (1); by Qiaolin Shi, Carlos Andres Pena-Solorzano
2020	From Video Classification to Video Prediction: Deep Learning Approaches to Video Modelling PhD Theses 2020 (1); by Hehe Fan
2020	A deep learning model for the proteome-wide prediction of peptide tandem mass spectra (Ein Deep-Learning-Modell zur proteomweiten Vorhersage von Peptid-Tandem-Massenspektren) PhD Theses 2020 (1); by Siegfried Gessulat
2020	Profiting from Artificial Intelligence: Data as a source of competitive advantage (Von künstlicher Intelligenz profitieren: Daten als Quelle von Wettbewerbsvorteilen) PhD Theses 2020 (1); by Philipp Hartmann
2020	From Deep Learning in imaging neuroscience to nuclear physics in Quantum Computing PhD Theses 2020 (1); by Nicolás F. Lori
2020	Automatic prediction of ischemic stroke from MRI images using Deep Learning PhD Theses 2020 (1); by Adriano Pinto
2020	Learning Biosignals with Deep Learning PhD Theses 2020 (1); by David Belo
2020	Leveraging Machine Learning Algorithms in Online Portfolio Selection PhD Theses 2020 (1); by Guy Uziel
2020	Single channel multi-talker speech separation with deep learning PhD Theses 2020 (1); by Chenglin Xu
2020	Meta-analysis on the lethality of influenza A viruses using machine learning approaches PhD Theses 2020 (1); by Rui Yin
2020	Visual data analysis supported by eye-tracking, multi-touch displays, and machine learning PhD Theses 2020 (1); by Mohammad Chegini
2020	Towards secure and robust stateful deep learning systems with model-based analysis PhD Theses 2020 (1); by Xiaoning Du
2020	Understanding and improving interactive systems design with human-in-the-loop machine learning PhD Theses 2020 (1); by Yaqian Zhang
2020	Physics-based Deep Learning for Optical Property Analysis PhD Theses 2020 (1); by Shijie Nie
2020	Deep learning based voice cloning framework for a unified system of text-to-speech and voice conversion PhD Theses 2020 (1); by Hieu-Thi Luong
2020	Adaptive Trust Calibration in Human-AI Cooperation PhD Theses 2020 (1); by Kazuo Okamura
2020	Conditional machine learning architectures for harmonic and rythm music generation PhD Theses 2020 (1); by Dimosthenis Makris
2020	Deep learning algorithms and architectures for natural language processing PhD Theses 2020 (1); by Flora Sakketou
2020	Implementation of machine learning techniques to optimize the ground segment for high throughput satellite systems in q/v band PhD Theses 2020 (1); by Andrés Cornejo Gaibor
2020	Machine Learning for Networked Data PhD Theses 2020 (1); by Nguyen Tran Quang
2020	Deep learning implemented structural defect detection on digital images PhD Theses 2020 (1); by Wooram Choi
2020	Scalable Automated Reasoning for Programs and Deep Learning PhD Theses 2020 (1); by Gagandeep Singh
2020	Peptide Sequencing with Deep Learning PhD Theses 2020 (1); by Rui Qiao
2020	Towards Building an Intelligent Tutor for Gestural Languages using Concept Level Explainable AI PhD Theses 2020 (1); by Prajwal Paudyal
2020	Understanding Cortical Neuron Dynamics through Simulation-Based Applications of Machine Learning PhD Theses 2020 (1); by Reuben Haynes
2020	Statistical and Deep Learning Frameworks for High Throughput Neuronal Signal and Image Processing PhD Theses 2020 (1); by Somayyeh Soltanian-Zadeh
2020	3D Massive MIMO and Artificial Intelligence for Next Generation Wireless Networks PhD Theses 2020 (1); by Rubayet Shafin Bradley Shafin
2020	Advanced Machine Learning Approaches for Characterization of Transcriptional Regulatory Elements and Genome-Wide Associations PhD Theses 2020 (1); by Hamid Reza Hassanzadeh
2020	Limitations of Classical Tomographic Reconstructions from Restricted Measurements and Enhancing with Physically Constrained Machine Learning PhD Theses 2020 (1); by Nicholas Dallmann
2020	Trustworthy AI: the Deep Learning Perspective PhD Theses 2020 (1); by Stefano Marrone
2020	Machine Learning for Interaction Discovery in Genetics and Bioengineering PhD Theses 2020 (1); by Laetitia Papaxanthos
2020	Improvisational artificial intelligence for embodied co-creativity PhD Theses 2020 (1); by Mikhail Jacob
2020	Gaze-Based Intention Recognition for Human-Agent Collaboration: Towards Nonverbal Communication in Human-AI Interaction PhD Theses 2020 (1); by Joshua Newn
2020	Interpretability by Design: New Interpretable Machine Learning Models and Methods PhD Theses 2020 (1); by Chaofan Chen
2020	Clinical Applicability of Deep Learning for Organ-At-Risk Segmentation in Radiotherapy Planning PhD Theses 2020 (1); by Jan Schreier
2020	Deep Learning Assisted Visual Odometry PhD Theses 2020 (1); by Jiexiong Tang
2020	A Responsible Softmax Layer in Deep Learning PhD Theses 2020 (1); by Ryan Coatney
2020	Machine Learning and Distributed Computing Techniques for Process Mining ; Koneoppimisen ja hajautetun laskennan tekniikat prosessien louhinnassa PhD Theses 2020 (1); by Markku Hinkka
2020	Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning PhD Theses 2020 (1); by Anthony Windmon
2020	PHY-layer Security in Cognitive Radio Networks through Learning Deep Generative Models: an AI-based approach PhD Theses 2020 (1); by Andrea Toma
2020	Towards Tighter Integration of Machine Learning and Discrete Optimization PhD Theses 2020 (1); by Elias Boutros Khalil
2020	Broadening deep learning horizons: models for RGB and depth images adaptation PhD Theses 2020 (1); by Paolo Russo
2020	Deep Learning with Constraints and Priors for Improved Subject Clustering, Medical Imaging, and Robust Inference PhD Theses 2020 (1); by Wei-An Lin
2020	Semantička segmentacija slika prirodnog krajolika temeljena na dubokom učenju ; Semantic segmentation of natural landscape images based on deep learning PhD Theses 2020 (1); by Dunja Bozic-Stulic
2020	Studying polymer physics by machine learning PhD Theses 2020 (1); by Qianshi Wei
2020	Scalability Analysis and Optimization for Large-Scale Deep Learning PhD Theses 2020 (1); by Sarunya Pumma
2020	Accelerating Structural Design and Optimization using Machine Learning PhD Theses 2020 (1); by Karanpreet Singh
2020	Machine Learning Methods for Drug Evaluation and Treatment Assessment PhD Theses 2020 (1); by Siteng Chen
2020	Antibody engineering by combining genome editing, deep sequencing, and deep learning PhD Theses 2020 (1); by Derek Mason
2020	Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective PhD Theses 2020 (1); by Zhezhi He
2020	Deep Learning Methods for Semantic Matching, Image Retrieval and Camera Relocalization PhD Theses 2020 (1); by Zakaria Laskar
2020	Improving 3D Reconstruction using Deep Learning Priors PhD Theses 2020 (1); by Rohan Chabra
2020	Automated Text Analysis of Online Content in Marketing: Dictionray-Based Methods and Artificial Intelligence PhD Theses 2020 (1); by Christine Pitt
2020	Robust Deep Learning Through Selective Feature Regeneration PhD Theses 2020 (1); by Tejas S. Borkar
2020	Continual Learning and Forgetting in Deep Learning Models PhD Theses 2020 (1); by Alaa El Khatib
2020	Quality of Experience estimation of encrypted video streaming by using machine learning methods ; Procjena iskustvene kvalitete za strujanje šifriranoga videa primjenom metoda strojnoga učenja PhD Theses 2020 (1); by Irena Orsolic
2020	Machine learning approaches for detection of robot errors in human brain signals PhD Theses 2020 (1); by Joos Behncke
2020	Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds PhD Theses 2020 (1); by Ying Li
2020	Comprehensive Designs of Innovate Secure Hardware Devices against Machine Learning Attacks and Power Analysis Attacks PhD Theses 2020 (1); by Yiming Wen
2020	Machine Learning Algorithm Design for Hardware Performance Optimization PhD Theses 2020 (1); by Shaojie Xu
2020	Convex and structured nonconvex optimization for modern machine learning: Complexity and algorithms PhD Theses 2020 (1); by Digvijay Boob
2020	Investigation of Machine Learning Algorithms for Intrusion Detection System in Cybersecurity PhD Theses 2020 (1); by Mohammed Alrowaily
2020	Radio Resource Management for New Application Scenarios in 5G: Optimization and Deep Learning PhD Theses 2020 (1); by Rui Dong
2020	Risk Management Frameworks and Methodologies for Modern and Resilient Power Systems Planning Using Machine Learning Techniques PhD Theses 2020 (1); by Antonin Demazy
2020	Exploring Diversity and Fairness in Machine Learning PhD Theses 2020 (1); by Candice Schumann
2020	Efficient deep learning models for video abstraction PhD Theses 2020 (1); by Mrigank Rochan
2020	Fair and Diverse Data Representation in Machine Learning PhD Theses 2020 (1); by Uthaipon Tantipongpipat
2020	New parametric evaluation and fusion strategy for vibration diagnosis systems and classification approaches applied to machine learning and computer vision systems PhD Theses 2020 (1); by Daniel Adofo Ameyaw
2020	Contributions to Biomedical Signal Analysis Using Nonlinear Dynamics and Machine Learning PhD Theses 2020 (1); by Morteza Zabihi
2020	Artificial intelligence and model checking methods for in silico clinical trials PhD Theses 2020 (1); by Stefano Sinisi
2020	Development and application of rule- and learning-based approaches within the scope of neuroimaging: Tensor voting, tractography and machine learning PhD Theses 2020 (1); by Daniel Jörgens
2020	Mapping the structural connectome and predicting functional connectivity with deep learning methods PhD Theses 2020 (1); by Tabinda Sarwar
2020	Machine learning for particle identification in the LHCb detector PhD Theses 2020 (1); by Nikita Kazeev
2020	Structured Machine Learning for Robotics PhD Theses 2020 (1); by Gian Maria Marconi
2020	Applications of Deep Learning for Sequential Data: Music, Human Activity and Language PhD Theses 2020 (1); by Gino Brunner
2020	Widened Machine Learning with Application to Bayesian Networks PhD Theses 2020 (1); by Oliver R. Sampson
2020	Resource Efficient Machine Learning Techniques for Monitoring Repetitive Activities through Wearable Devices in Real-time PhD Theses 2020 (1); by Yousef Kowsar
2020	In-Memory Computing Architecture for Deep Learning Acceleration PhD Theses 2020 (1); by Fan Chen
2020	Some Fundamental Machine Learning Problems in the Differential Privacy Model PhD Theses 2020 (1); by Di Wang
2020	Exploring Deep Learning for Video Understanding PhD Theses 2020 (1); by Yikang Li
2020	Methods for probabilistic modeling of knowledge elicitation for improving machine learning predictions PhD Theses 2020 (1); by Homayun Afrabandpey
2020	Machine Learning and First Principles Modeling Applied to Multiphase Flow Estimation PhD Theses 2020 (1); by Timur Bikmukhametov
2020	Energy Efficient Processing in Memory Architecture for Deep Learning Computing Acceleration PhD Theses 2020 (1); by Yun Long
2020	Energy-efficient embedded machine learning algorithms for smart sensing systems PhD Theses 2020 (1); by Mario Osta
2020	Explainable AI in Workflow Development and Verification Using Pi-Calculus PhD Theses 2020 (1); by Gennaro De Luca
2020	Text Mining for Precision Medicine: Natural Language Processing, Machine Learning and Information Extraction for Knowledge Discovery in the Health Domain PhD Theses 2020 (1); by Noha S. Tawfik
2020	Fine Mapping Functional Noncoding Genetic Elements Via Machine Learning PhD Theses 2020 (1); by Pramod Bharadwaj Chandrashekar
2020	Deep Learning for Forensics PhD Theses 2020 (1); by Peng Zhou
2020	Countermeasures Against Various Network Attacks Using Machine Learning Methods PhD Theses 2020 (1); by Yi Li
2020	Continuous Video Stream Pixel Sensor: Deep Learning Architectures for Structural Health Monitoring PhD Theses 2020 (1); by Ruoyu Yang
2020	Neonatal seizure detection: a deep learning approach PhD Theses 2020 (1); by Alison O'Shea
2020	Human-AI Interaction in the Presence of Ambiguity: From Deliberation-based Labeling to Ambiguity-aware AI PhD Theses 2020 (1); by Mike Schaekermann
2020	Towards Better Interpretability of Machine Learning-Based Decision Support Systems PhD Theses 2020 (1); by Xiaomei Wang
2020	Human Aspects of Machine Learning PhD Theses 2020 (1); by Samira Samadi
2020	Artificial intelligence in weather and climate prediction: Learning atmospheric dynamics PhD Theses 2020 (1); by Sebastian Scher
2020	AI-infused Security: Robust Defense by Bridging Theory and Practice PhD Theses 2020 (1); by Shang-Tse Chen
2020	Machine Learning Approaches for Breast Cancer Survivability Prediction PhD Theses 2020 (1); by Huy Quang Pham
2020	Impact Of Semantics, Physics And Adversarial Mechanisms In Deep Learning PhD Theses 2020 (1); by Ilya Kavalerov
2020	Prediction of Linear Epitopes by a Machine Learning Algorithm Developed Using the Immunosignature Technology PhD Theses 2020 (1); by Robayet Chowdhury
2020	Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters PhD Theses 2020 (1); by Filip Hanzely
2020	Deep learning-based vessel detection from very high and medium resolution optical satellite images as component of maritime surveillance systems PhD Theses 2020 (1); by Sergey Voinov
2020	Machine Learning-based Sequence Labeling for Text Data PhD Theses 2020 (1); by Shifeng Liu
2020	A Deep Learning Approach to Side-Channel Analysis of Cryptographic Hardware PhD Theses 2020 (1); by Keyvan Ramezanpour
2020	Machine Learning Techniques for Suspicious Transaction Detection and Analysis PhD Theses 2020 (1); by Ramiro Daniel Camino
2020	Large scale machine learning for geospatial problems in computational sustainability PhD Theses 2020 (1); by David Caleb Robinson
2020	CDCL(Crypto) and Machine Learning based SAT Solvers for Cryptanalysis PhD Theses 2020 (1); by Saeed Nejati
2020	Machine Learning Approaches for Identifying Cancer Biomarkers Using Next Generation Sequencing PhD Theses 2020 (1); by Osama Hamzeh
2020	Exploring the Genotype-Phenotype Relationship Using Big Data and Machine Learning PhD Theses 2020 (1); by Matteo Togninalli
2020	Machine Learning Models for Biomedical Ontology Integration and Analysis PhD Theses 2020 (1); by Fatima Zohra Smaili
2020	Deep Learning in Business Analytics: Methods and Applications PhD Theses 2020 (1); by Mathias Kraus
2020	Towards Natural Human-AI Interactions in Vision and Language PhD Theses 2020 (1); by Arjun Chandrasekaran
2020	Cognitive Computing for Decision Support PhD Theses 2020 (1); by Seho Kee
2020	Machine learning classification of microbial community compositions to predict anthropogenic pollutants in the Baltic Sea PhD Theses 2020 (1); by Rene Janßen
2020	Machine learning approaches to identifying social determinants of health in electronic health record clinical notes PhD Theses 2020 (1); by Rachel Stemerman
2020	Study on Decentralized Machine Learning and Applications to Wireless Caching Networks PhD Theses 2020 (1); by Yu Ye
2020	Specialized Hardware Solutions for In-Database Analytics and Machine Learning PhD Theses 2020 (1); by Kaan Kara
2020	Structural Health Monitoring of Bridges: Data-based damage detection method using Machine Learning PhD Theses 2020 (1); by Ana C. Neves
2020	Determination and Enhancement of the Forming Limit Curve for Sheet Metal Materials using Machine Learning (Bestimmung und Erweiterung der Grenzformänderungskurve für Blechwerkstoffe mittels Maschinellem Lernen) PhD Theses 2020 (1); by Christian Jaremenko
2020	Comprehensive study of physical unclonable functions on FPGAs: correlation driven Implementation, deep learning modeling attacks, and countermeasures PhD Theses 2020 (1); by Mahmoud Khalafalla
2020	Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) PhD Theses 2020 (1); by Renhao Liu
2020	Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates PhD Theses 2020 (1); by Dominik Dold
2020	Efficient Deep Learning for Image Applications PhD Theses 2020 (1); by Chunpeng Wu
2020	Deep Learning Approaches for 3D Inference from Monocular Vision PhD Theses 2020 (1); by Dominic Jack
2020	Sinteza procesa iz tokova podataka temeljena na induktivnom strojnom učenju. ; Process synthesis from data streams based on inductive machine learning PhD Theses 2020 (1); by Ivona Zakarija
2020	Machine learning for spectroscopic properties of organic molecules PhD Theses 2020 (1); by Annika Stuke
2020	Computational Drug Repositioning Based on Integrated Similarity Measures and Deep Learning PhD Theses 2020 (1); by Tamer N. Jarada
2020	Quantum algorithms for machine learning and optimization PhD Theses 2020 (1); by Tongyang Li
2020	Machine learning and statistical analysis of neuronal activity and animal behavior PhD Theses 2020 (1); by Markus Marks
2020	From Images to Graphs: Machine Learning Methods for the Detection of Microtubules and Synapses in Large-Scale Electron Microscopy Data PhD Theses 2020 (1); by Julia M. Buhmann
2020	Experimental Investigations and Machine Learning-Based Predictive Modeling of the Chemo-mechanical Characteristics of Ultra-High Performance Binders PhD Theses 2020 (1); by Emily Ford
2020	Development of a Methodology for the efficient Validation of Safety-Critical Systems using Machine Learning Optimization Techniques (Entwicklung einer Methodik zur effizienten Validierung sicherheitskritischer Systeme durch Einsatz und Optimierung von maschinellen Lerntechniken) PhD Theses 2020 (1); by Ibrahim Alagöz
2020	Efficient Detection of Objects and Faces with Deep Learning PhD Theses 2020 (1); by Mahyar Najibi
2020	Machine Learning and Multi-Modal Image Analysis for Image-Guided Therapy and Clinical Decision Support PhD Theses 2020 (1); by Jennifer Nitsch
2020	Novel Mediation Method for Metagenomic Studies and Deep Learning Methods for Single Cell RNA-SEQ Studies PhD Theses 2020 (1); by Meng Lu
2020	Resource and Performance Modelling of Hadoop Clusters Using Machine Learning PhD Theses 2020 (1); by Hassan Tariq
2020	Deep Learning Methods for Image Matching and Camera Relocalization PhD Theses 2020 (1); by Iaroslav Melekhov
2020	Machine learning methods for genomic high-content screen data analysis applied to deduce organization of endocytic network PhD Theses 2020 (1); by Kseniia Nikitina
2020	Using Artificial Intelligence to Improve Healthcare Quality and Efficiency PhD Theses 2020 (1); by Weiguang Wang
2020	Designing for the Human in the Loop: Transparency and Control in Interactive Machine Learning PhD Theses 2020 (1); by Alison Marie Renner
2020	Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques PhD Theses 2020 (1); by Desta Haileselassie Hagos
2020	Automated Real-Time Machine Learning for IoT for manufacturing a Cloud Architecture and API PhD Theses 2020 (1); by Mahmoud Parto Dezfouli
2020	Machine Learning Enhanced Quality of Transmission Estimation in Disaggregated Optical Systems PhD Theses 2020 (1); by Shengxiang Zhu
2020	Active Deep Learning Method to Automate Unbiased Stereology Cell Counting PhD Theses 2020 (1); by Saeed S. Alahmari
2020	Enforcing and Discovering Structure in Machine Learning PhD Theses 2020 (1); by Francesco Locatello
2020	Machine Learning Methodologies for Interpretable Compound Activity Predictions PhD Theses 2020 (1); by Raquel Rodríguez-Pérez
2020	Towards Robust Machine Learning Models for Data Scarcity PhD Theses 2020 (1); by Jie Zhang
2020	Automated Program Repair using Program Analysis and Machine Learning Techniques PhD Theses 2020 (1); by Xuezheng Xu
2020	Parameter reduction in deep learning and classification PhD Theses 2020 (1); by David Browne
2020	Accelerator Architectures for Deep Learning and Graph Processing PhD Theses 2020 (1); by Linghao Song
2020	Machine Learning Algorithms for Dementia Diagnosis and Prognosis from Brain MRI Data PhD Theses 2020 (1); by Viktor Wegmayr
2020	Understanding and Intervening in Machine Learning Ethics: Supporting Ethical Sensitivity in Training Data Curation PhD Theses 2020 (1); by Karen L. Boyd
2020	Efficient and Online Deep Learning through Model Plasticity and Stability PhD Theses 2020 (1); by Xiaocong Du
2020	Towards Structured Prediction in Bioinformatics with Deep Learning PhD Theses 2020 (1); by Yu Li
2020	Creating market knowledge from big data: Artificial intelligence and human resources PhD Theses 2020 (1); by Jeannette Paschen
2020	Deep Learning Based Cursive Text Detection and Recognition in Natural Scene Images PhD Theses 2020 (1); by Asghar Ali Chandio
2020	Machine Learning for the Internet of Things: Applications, Implementation, and Security PhD Theses 2020 (1); by Vishalini R. Laguduva
2020	Machine learning applications to essential oils and natural extracts PhD Theses 2020 (1); by Alexandros Patsilinakos
2020	Machine learning for automatic segmentation of neonatal and fetal MR brain images PhD Theses 2020 (1); by Nadieh Khalili
2020	Artificial Intelligence for Understanding Large and Complex Datacenters PhD Theses 2020 (1); by Pengfei Zheng
2020	Deep learning approaches for segmentation of multiple sclerosis lesions on brain MRI PhD Theses 2020 (1); by Shahab Aslani
2020	Strategic Deployment of Artificial Intelligence-Enhanced Cloudlets for Low-latency Human-to-Machine Applications PhD Theses 2020 (1); by Sourav Mondal
2020	Deep Learning Approaches for Inferring Collective Macrostates from Individual Observations in Natural and Artificial Multi-Agent Systems Under Realistic Constraints PhD Theses 2020 (1); by Taeyeong Choi
2020	Robustifying Machine Learning based Security Applications PhD Theses 2020 (1); by Steve T. K. Jan
2020	Users & Machine Learning-based Curation Systems PhD Theses 2020 (1); by Hendrik Heuer
2020	Human-Centered AI through Scalable Visual Data Analytics PhD Theses 2020 (1); by Minsuk Kahng
2020	Privacy-Preserving Synthetic Medical Data Generation with Deep Learning PhD Theses 2020 (1); by Amirsina Torfi
2020	Artificial Intelligence Towards the Wireless Channel Modeling Communications in 5G PhD Theses 2020 (1); by Saud Mobark Aldossari
2020	Simulating Group Interactions through Machine Learning and Human Perception PhD Theses 2020 (1); by Fangkai Yang
2020	Predictive Modelling of Advanced Wastewater Treatment Technologies Using Artificial Intelligence PhD Theses 2020 (1); by Mohamed Sherif Zaghloul
2020	Human Learning-Augmented Machine Learning Frameworks for Text Analytics PhD Theses 2020 (1); by Long Xia
2020	Security and Robustness in Neuromorphic Computing and Deep Learning PhD Theses 2020 (1); by Chaofei Yang
2020	Explorations in machine learning for interacting many-body systems PhD Theses 2020 (1); by Jonathon Matthew Schulz-Beach
2020	Developing Machine Learning Methodology for Precision Health PhD Theses 2020 (1); by Xiaotong Jiang
2020	Quantum Machine Learning: A Comparison Between Quantum and Classical Support Vector Machine PhD Theses 2020 (1); by Claudio Pipicelli
2020	Methodologies for Mobile and Encrypted Traffic Classification via Machine Learning Approaches PhD Theses 2020 (1); by Antonio Montieri
2020	Towards an Earlier Detection of Progressive Multiple Sclerosis using Metabolomics and Machine Learning PhD Theses 2020 (1); by Stephanie Herman
2020	Machine Learning for Software Dependability PhD Theses 2020 (1); by Thibaud Lutellier
2020	Use of Artificial Intelligence for Barrier Integrity Detection in Porcine Small Intestinal Epithelial Cells ; 인공지능에 의한 돼지 소장상피세포의 장벽기능 식별 PhD Theses 2020 (1); by Payam Hosseinzadeh Kasani
2020	Powering Next-Generation Artificial Intelligence by Designing Three-dimensional High-Performance Neuromorphic Computing System with Memristors PhD Theses 2020 (1); by Hongyu An
2020	Building Invariant, Robust And Stable Machine Learning Systems Using Geometry and Topology PhD Theses 2020 (1); by Anirudh Som
2020	Machine learning to support exploring and exploiting real-world clinical longitudinal data PhD Theses 2020 (1); by Mariana A. Nogueira
2020	Deep Learning and Uncertainty Modeling in Visual Food Analysis PhD Theses 2020 (1); by Eduardo Aguilar
2020	Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images PhD Theses 2020 (1); by Mostafa Salem
2020	Data analytics for mobile traffic in 5G networks using machine learning techniques PhD Theses 2020 (1); by Hoang Duy Trinh
2020	Deep learning for atrophy quantification in brain magnetic resonance imaging PhD Theses 2020 (1); by José Bernal
2020	Audio-visual deep learning methods for musical instrument classification and separation PhD Theses 2020 (1); by Olga Slizovskaia
2020	Deep learning that scales: leveraging compute and data PhD Theses 2020 (1); by Víctor Campos Camúñez
2020	Lidar-based scene understanding for autonomous driving using deep learning PhD Theses 2020 (1); by Victor Vaquero
2020	Deep learning architectures applied to wind time series multi-step forecasting PhD Theses 2020 (1); by Jaume Manero Font
2020	Machine learning-based techniques for indoor localization and human activity recognition through wearable devices PhD Theses 2020 (1); by Emilio Sansano-Sansano
2020	Enhancement of vehicular ad hoc networks using machine learning-based prediction methods PhD Theses 2020 (1); by Leticia Lemus Cárdenas
2020	Machine learning methods for the characterization and classification of complex data PhD Theses 2020 (1); by Pablo Amil Marletti
2020	Going Deep into the Cat and the Mouse Game: Deep Learning for Malware Classification PhD Theses 2020 (1); by Daniel Gibert
2020	Machine learning and deep neural networks approach to modelling musical gestures PhD Theses 2020 (1); by David Cabrera Dalmazzo
2020	An adaptive, fault-tolerant system for road network traffic prediction using machine learning PhD Theses 2020 (1); by Rafael Mena Yedra
2020	Contribution to privacy-enhancing tecnologies for machine learning applications PhD Theses 2020 (1); by Ana Fernanda Rodríguez Hoyos
2020	Low-power accelerators for cognitive computing PhD Theses 2020 (1); by Marc Riera
2020	Automatic segmentation of brain structures in magnetic resonance images using deep learning techniques PhD Theses 2020 (1); by Kaisar Kushibar
2020	Development of Machine Learning Techniques for Diabetic Retinopathy Risk Estimation PhD Theses 2020 (1); by Emran Ali
2020	Sentiment Analysis of Textual Content in Social Networks. From Hand-Crafted to Deep Learning-Based Models PhD Theses 2020 (1); by Mohammed Jabreel
2020	Çölyak hastalığının teşhis edilmesi ve sınıflandırılmasında yapay zekâ algoritmalarının kullanılması (Application of artificial intelligence algorithms in the diagnosis and classification of celiac disease) PhD Theses 2020 (1); by Manarbek Saken
2020	Uyku hastalıklarının tespiti için EEG sinyallerinin derin öğrenme ile işlenmesinde yeni bir yaklaşım (A new approach to processing EEG signals with deep learning for the detection of sleep diseases) PhD Theses 2020 (1); by Göksu Zekiye Özen
2020	Optimization and deep learning based multi model abundance estimation and unmixing algorithms for hyperspectral images (Hiperspektral görüntülerde optimizasyon ve derin öğrenme tabanlı çok modelli bolluk tahmini ve ayrıştırma algoritmaları) PhD Theses 2020 (1); by Okan Bilge Özdemir
2020	Osas hastaları için CPAP cihazlarındaki optimum basıncın yapay zeka ile tahmini (Prediction of optimum pressure in CPAP devices for osas patients by artificial intelligence) PhD Theses 2020 (1); by Fatma Zehra Gögüs
2020	Derin öğrenme yöntemleri ile periferik yayma görüntülerinin analizi ve sınıflandırılması (Analysis and classification of peripheral blood smear images using deep learning methods) PhD Theses 2020 (1); by Yusuf Yargi Baydilli
2020	Deep learning for digital pathology (Dijital patoloji için derin öğrenme) PhD Theses 2020 (1); by Can Taylan Sari
2020	Word2vec temsillerini kullanarak Türkçede soru sınıflandırmasında derin öğrenme analizi (A deep learning analysis on Turkish question classification task using word2vec representations) PhD Theses 2020 (1); by Seyhmus Yilmaz
2020	Derin öğrenme kullanarak uzaktan algılama görüntülerindeki nesnelerin tespiti (Detection of objects in remote sensing images using deep learning) PhD Theses 2020 (1); by Atakan Körez
2020	A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data (Uzamsal-zamansal çok boyutlu verilerde denetimsiz anomali tespiti için hibrit derin öğrenme çerçevesi) PhD Theses 2020 (1); by Yildiz Karadayi
2020	Androıd işletim sistemi için derin öğrenme tabanlı kötü amaçlı yazılım tespit aracı geliştirme (Development of deep learning based malware detection tool for android operating system) PhD Theses 2020 (1); by Mahmut Tokmak
2020	Yapay zeka algoritmaları ile kriptoanaliz (Cryptoanalysis using artificial intelligence algorithms) PhD Theses 2020 (1); by Arkan Kh Shakr Sabonchi
2020	Exploring mini-batch sample selection strategies for deep learning based speech recognition (Derin öğrenme tabanlı ses tanıma için mini-yığın örnek seçim stratejilerinin araştırılması) PhD Theses 2020 (1); by Yesim Dokuz
2020	A new approach using deep learning methodologies from human activity recognition to Robot Grasping (İnsan aktivitesi tanımadan Robot Kavrama\'ya derin öğrenme yöntemlerini kullanarak yeni bir yaklaşım) PhD Theses 2020 (1); by Senem Tanberk
2020	Investigation of emotional state using machine learning techniques based on complexity and spectral features of electroncephalogram (Duygu durumunun elektroensofalografideki karmaşıklık ve spektral öznitelikler temelinde makina öğrenme teknikleri ile araştırılması) PhD Theses 2020 (1); by Ahmed M. Abdalla Mohamed
2020	Endüstriyel uygulamaların derin öğrenme ile yüksek hızlarda gerçeklenmesi için optmize edilmiş ağ yapılarının geliştirilmesi (Development of optimized network architectures for high speed industrial applications using deep learning) PhD Theses 2020 (1); by Hakan Aktas
2020	Yapay zeka ve dinamik analiz tabanlı web uygulama zafiyet tarayıcısı (Artificial intelligence and dynamic analysis based web application vulnerability scanner) PhD Theses 2020 (1); by Mehmet Ali Yalçinkaya
2020	Seröz efüzyon sitopatolojisinde makine öğrenmesi tabanlı tanı yaklaşımlarının geliştirilmesi ve uygulanması (Development and implementation of machine learning based diagnosis approaches in serous effusion cytopathology) PhD Theses 2020 (1); by Elif Baykal Kablan
2020	Beyin tümörlerinin derin öğrenme yaklaşımlarıyla tespiti (Detecting brain tumors using deep learning approaches) PhD Theses 2020 (1); by Mehmet Ali Atici
2020	Effective software bug localization using information retrieval and machine learning algorithms (Bilgi geri getirimi ve makine öğrenmesi algoritmalarını kullanarak yazılımda hata konumlandırılması) PhD Theses 2020 (1); by Mustafa Ersahin
2020	Türkçe konuşma tanıma sistemleri için derin öğrenme tabanlı modellerin geliştirilmesi (Development of deep learning based models for Turkish speech recognition) PhD Theses 2020 (1); by Saadin Oyucu
2020	Uçak bakım periyotları ve arıza sayılarının yapay zeka teknikleri kullanılarak tahmini (Predicting aircraft maintenance periods and failure counts through artificial intelligence techniques) PhD Theses 2020 (1); by Kadir Celikmih
2020	Uzaktan algılama görüntülerinde derin öğrenme temelli yaklaşımlar kullanarak nesne tespiti (Object detection by using deep learning based approaches in remote sensing images) PhD Theses 2020 (1); by Nuri Erkin Öçer
2020	İmar uygulamalarında dağıtım ve parselasyon işlemlerinin yapay zeka optimizasyon algoritmaları kullanılarak gerçekleştirilmesi (Implementation of land redistribution and readjustment processes in zoning applications using artificial intelligence optimization algorithms) PhD Theses 2020 (1); by Ismail Koc
2020	Derin öğrenme ile insan edimlerinin tanınması (Human action recognition using deep learning) PhD Theses 2020 (1); by Tayyip Özcan
2020	Variations on structured sparsity for machine learning (Makine öğrenimi için yapısal seyreklik üzerine çeşitlemeler) PhD Theses 2020 (1); by Yigit Oktar
2020	Generating ad creatives using deep learning for search advertising (Arama motoru reklamcılığı için derin öğrenme kullanarak reklam oluşturma) PhD Theses 2020 (1); by Kevser Nur Cogalmis
2020	Nesnelerin internetinde derin öğrenmeye dayalı veri analizi ve bilgi çıkarımı (Deep learning based data analysis and information extraction in the internet of things) PhD Theses 2020 (1); by Ibrahim Kök
2020	Derin öğrenme yöntemleri kullanılarak kalın bağırsak poliplerinin tespiti takibi ve sınıflandırılması (Detection tracking and classification of large intestine polyps using deep learning methods) PhD Theses 2020 (1); by Hüseyin Kutlu
2020	Kendiliğinden yerleşen çelik lifli beton performansını tahmin edecek sistemin modellenmesi (Modeling of the system to predict the performance of steel fiber reinforced self-compacting concrete using machine learning methods) PhD Theses 2020 (1); by Osman Altay
2020	Yanık görüntülerinin çok değişkenli istatistiksel yöntemler ve derin öğrenme yaklaşımları ile analizi (Analysis of burn images by multivariate statistical methods and deep learning approaches) PhD Theses 2020 (1); by Erdinç Karakullukçu
2020	Identification of butterfly species using machine learning and image processing techniques (Makine öğrenmesi ve görüntü işleme teknikleri kullanılarak kelebeklerin tanımlanması) PhD Theses 2020 (1); by Ayad Almryad
2020	LTE-A kablosuz ağlarda kötü niyetli röle ataklarının makine öğrenmesi yöntemleri ile tespiti (Detection of malicious relay attacks in LTE-A wireless networks by machine learning methods) PhD Theses 2020 (1); by Yeliz Yengi
2020	Deep learning for prediction of drug-target interaction space and protein functions (İlaç-hedef protein etkileşim uzayı ve protein fonksiyonlarının tahmini için derin öğrenme) PhD Theses 2020 (1); by Ahmet Süreyya Rifaioglu
2020	Ultrason görüntülerinde derin öğrenme yaklaşımıyla süper çözünürlük (Ultrasound image super resolution with deep learning approach) PhD Theses 2020 (1); by Hakan Temiz
2020	Derin öğrenme tabanlı saldırı tespit sistemi (Intrusion detection system using deep learning) PhD Theses 2020 (1); by Gözde Karatas
2020	Küçük veri setleri için derin öğrenme (Deep learning for small datasets) PhD Theses 2020 (1); by Tunç Gültekin
2020	Hareketli nesnelerde algılanması güç olan değişimlerin video büyütme yöntemiyle tespiti ve derin öğrenme ile analizi (Detection of subtle changes on moving objects with video magnification method and analysis with deep learning) PhD Theses 2020 (1); by Abdullah Asim Yilmaz
2020	Derin öğrenme kullanarak konuşma bölütlerinin tespiti için optimal özellik parametre kümesi belirleme (Determining optimal feature parameter set for detection of speech segments using deep learning) PhD Theses 2020 (1); by Özlem Batur Dinler
2020	Derin öğrenmeye dayalı bir imza doğrulama yönteminin geliştirilmesi (Development of a signature verification method based on deep learning) PhD Theses 2020 (1); by Muhammed Mutlu Yapici
2020	Derin öğrenme algoritmaları ile Türkçe dilinde sahte haber tespiti (Detecting fake news in Turkish with deep learning algorithms) PhD Theses 2020 (1); by Süleyman Gökhan Taskin
2020	Derin öğrenme ve makine öğrenmesi yöntemleriyle borsa alım satım davranışlarının modellenmesi (Modeling trading behaviours with deep learning and machine learning methods in stock exchange markets) PhD Theses 2020 (1); by Afan Hasan
2020	Makine öğrenmesi yöntemleri ile harita eşleştirme ve konum tahmini (Location determination using map matching techniques of machine learning) PhD Theses 2020 (1); by Ziya Gökalp Ersan
2020	Timpanik membran görüntü analizi ve yapay zeka kullanılarak sanal otitis media tanı sisteminin geliştirilmesi (Developing of virtual otitis media diagnostic system using tympanic membrane image analysis and artificial intelligence) PhD Theses 2020 (1); by Erdal Basaran
2020	Interpretability and Explainability in Machine Learning and their Application to Nonlinear Dimensionality Reduction PhD Theses 2020 (1); by Adrien Bibal
2020	Machine Learning approaches applied to the analysis of muscle activation patterns PhD Theses 2020 (1); by Cristina Castagneri
2020	ON META-NETWORKS, DEEP LEARNING, TIME AND JIHADISM PhD Theses 2020 (1); by Gian Maria Campedelli
2020	Artificial Intelligence and Augmented Reality for entertainment applications PhD Theses 2020 (1); by Darian Frajberg
2020	IMAGE PROCESSING, SEGMENTATION AND MACHINE LEARNING MODELS TO CLASSIFY AND DELINEATE TUMOR VOLUMES TO SUPPORT MEDICAL DECISION PhD Theses 2020 (1); by Albert Comelli
2020	Physiology based machine learning and data analytics for perinatal monitoring - A novel framework for a comprehensive maternal, fetal, and neonatal profiling PhD Theses 2020 (1); by Nicolò Pini
2020	Machine Learning for Understanding Focal Epilepsy PhD Theses 2020 (1); by Vanessa D'Amario
2020	Accident prevention, detection, and early response: Using machine learning and data analysis to improve driver and pedestrian safety PhD Theses 2020 (1); by Simone Gelmini
2020	Resource Efficient Large-Scale Machine Learning PhD Theses 2020 (1); by Luigi Carratino
2020	Machine Learning Techniques for Urban Vehicle Localization PhD Theses 2020 (1); by Daniele Cattaneo

2019 (501)

Computing (general) / Communications of the ACM

2019	Malevolent machine learning Communications of the ACM 2019 (12); by Chris Edwards
2019	The effects of mixing machine learning and human judgment Communications of the ACM 2019 (11); by Michelle Vaccaro, Jim Waldo
2019	DeepXplore: automated whitebox testing of deep learning systems Communications of the ACM 2019 (11); by Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman Jana
2019	AI is not an excuse! Communications of the ACM 2019 (10); by Vinton G. Cerf
2019	A case against mission-critical applications of machine learning Communications of the ACM 2019 (8); by CACM Staff
2019	The algorithm that changed quantum machine learning Communications of the ACM 2019 (8); by Samuel Greengard
2019	Unifying logical and statistical AI with Markov logic Communications of the ACM 2019 (7); by Pedro M. Domingos, Daniel Lowd
2019	Implementing guidelines for governance, oversight of AI, and automation Communications of the ACM 2019 (5); by Ryan Carrier
2019	Technical perspective: Compressing matrices for large-scale machine learning Communications of the ACM 2019 (5); by Zachary G. Ives
2019	Compressed linear algebra for declarative large-scale machine learning Communications of the ACM 2019 (5); by Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
2019	The seven tools of causal inference, with reflections on machine learning Communications of the ACM 2019 (3); by Judea Pearl
2019	Autonomous tools and design: a triple-loop approach to human-machine learning Communications of the ACM 2019 (1); by Stefan Seidel, Nicholas Berente, Aron Lindberg, Kalle Lyytinen, Jeffrey V. Nickerson
2019	Hidden messages fool AI Communications of the ACM 2019 (1); by Chris Edwards

Computing (general) / IEEE Computer

2019	Grand Challenge: Applying Artificial Intelligence and Machine Learning to Cybersecurity IEEE Computer 2019 (12); by Kirk Bresniker, Ada Gavrilovska, James Holt, Dejan S. Milojicic, Trung Tran
2019	Security and Privacy in the Age of Big Data and Machine Learning IEEE Computer 2019 (12); by Avi Mendelson
2019	Artificial Intelligence of Things in Sports Science: Weight Training as an Example IEEE Computer 2019 (11); by William Cheng-Chung Chu, Chihhsiong Shih, Wen-Yi Chou, Sheikh Iqbal Ahamed, Pao-Ann Hsiung
2019	Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening IEEE Computer 2019 (11); by Chi-Ho Tseng, Chen Lin, Hsiang-Chih Chang, Cyuan-Cin Liu, Bess Ma F. Serafico, Li-Ching Wu, Chih-Ting Lin, Tien Hsu, Chun-Yao Huang, Men-Tzung Lo
2019	Better Actions for Society 5.0: Using AI for Evidence-Based Policy Making That Keeps Humans in the Loop IEEE Computer 2019 (11); by Yoshihiro Shiroishi, Kunio Uchiyama, Norihiro Suzuki
2019	Can Deep Learning Save Us and Itself From the Avalanche of Threats in Cyberspace? IEEE Computer 2019 (10); by Apostol Vassilev
2019	From Artificial Intelligence to Artificial Wisdom: What Socrates Teaches Us IEEE Computer 2019 (10); by Tae Wan Kim, Santiago Mejia
2019	Synthetic Data: How AI Is Transitioning From Data Consumer to Data Producer... and Why That's Important IEEE Computer 2019 (10); by Mark Campbell
2019	Generative Adversarial Networks in AI-Enabled Safety-Critical Systems: Friend or Foe? IEEE Computer 2019 (9); by Apostolos P. Fournaris, Aris S. Lalos, Dimitrios Serpanos
2019	Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy IEEE Computer 2019 (9); by Robin Bloomfield, Heidy Khlaaf, Philippa Ryan Conmy, Gareth Fletcher
2019	Security Engineering for Machine Learning IEEE Computer 2019 (8); by Gary McGraw, Richie Bonett, Harold Figueroa, Victor Shepardson
2019	Biologically Driven Artificial Intelligence IEEE Computer 2019 (8); by Kjell Jørgen Hole, Subutai Ahmad
2019	Perspectives on Becoming an Applied Machine Learning Scientist IEEE Computer 2019 (5); by Nikhil Rasiwasia
2019	Cognitive Computing Systems: Their Potential and the Future IEEE Computer 2019 (5); by Venkat N. Gudivada, Sharath Pankanti, Guna Seetharaman, Yu Zhang 0150
2019	Crowd-Assisted Machine Learning: Current Issues and Future Directions IEEE Computer 2019 (1); by Jiangtao Wang, Yasha Wang, Qin Lv

Computing (general) / ACM Computing Surveys

2019	Machine Learning for Survival Analysis: A Survey ACM Computing Surveys 2019 (6); by Ping Wang, Yan Li, Chandan K. Reddy
2019	A Comprehensive Survey of Deep Learning for Image Captioning ACM Computing Surveys 2019 (6); by Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin, Hamid Laga
2019	A Survey on Compiler Autotuning using Machine Learning ACM Computing Surveys 2019 (5); by Amir H. Ashouri, William Killian, John Cavazos, Gianluca Palermo, Cristina Silvano
2019	Machine Learning in Network Centrality Measures: Tutorial and Outlook ACM Computing Surveys 2019 (5); by Felipe Grando, Lisandro Zambenedetti Granville, Luís C. Lamb
2019	A Survey on Deep Learning: Algorithms, Techniques, and Applications ACM Computing Surveys 2019 (5); by Samira Pouyanfar, Saad Sadiq, Yilin Yan, Haiman Tian, Yudong Tao, Maria E. Presa Reyes, Mei-Ling Shyu, Shu-Ching Chen, S. S. Iyengar
2019	Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing: A Survey ACM Computing Surveys 2019 (5); by Thang Le Duc, Rafael A. García Leiva, Paolo Casari, Per-Olov Östberg
2019	A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions ACM Computing Surveys 2019 (4); by Harsurinder Kaur, Husanbir Singh Pannu, Avleen Kaur Malhi
2019	Understanding Deep Learning Techniques for Image Segmentation ACM Computing Surveys 2019 (4); by Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik
2019	Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis ACM Computing Surveys 2019 (4); by Tal Ben-Nun, Torsten Hoefler
2019	Machine Learning for Smart Building Applications: Review and Taxonomy ACM Computing Surveys 2019 (2); by Djamel Djenouri, Roufaida Laidi, Youcef Djenouri, Ilangko Balasingham
2019	Deep Learning Based Recommender System: A Survey and New Perspectives ACM Computing Surveys 2019 (1); by Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay

Enterprise Computing / IEEE IT Professional

2019	The Adoption of Cognitive Computing Technology in China IEEE IT Professional 2019 (6); by Linda S. L. Lai
2019	Artificial Intelligence, Machine Learning, and Augmented Analytics IEEE IT Professional 2019 (6); by Stephen J. Andriole
2019	Complementary and Synergistic Properties of Blockchain and Artificial Intelligence IEEE IT Professional 2019 (6); by Nir Kshetri
2019	White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis IEEE IT Professional 2019 (5); by Tengyue Li, Simon Fong, Liansheng Liu, Xin-She Yang, Xingshi He, Jinan Fiaidhi, Sabah Mohammed
2019	To Err is Human, to Forgive, AI IEEE IT Professional 2019 (4); by Phillip A. Laplante, Ben Amaba
2019	The Internet of Things Grows Artificial Intelligence and Data Sciences IEEE IT Professional 2019 (3); by Charla Stracener, Quentin Samelson, Joe Mackie, Mitsuko Ihaza, Phillip A. Laplante, Ben Amaba

UX & Human Factors / ACM interactions

2019	Confronting the tensions where UX meets AI ACM interactions 2019 (6); by Henriette Cramer, Juho Kim
2019	Toward human-centered AI: a perspective from human-computer interaction ACM interactions 2019 (4); by Wei Xu
2019	Creative next: AI, automation, and the practice of user experience design ACM interactions 2019 (3); by Dirk Knemeyer, Jonathan Follett
2019	Toward responsible AI for the next billion users ACM interactions 2019 (1); by Nithya Sambasivan, Jess Holbrook

Computing (specialised) / IEEE Security & Privacy

2019	Deep Learning on Private Data IEEE Security & Privacy 2019 (6); by M. Sadegh Riazi, Bita Darvish Rouhani, Farinaz Koushanfar
2019	Artificial Intelligence for Law Enforcement: Challenges and Opportunities IEEE Security & Privacy 2019 (5); by Stephan Raaijmakers
2019	How Deep Learning Is Making Information Security More Intelligent IEEE Security & Privacy 2019 (3); by Ankush Singla, Elisa Bertino
2019	Safe Machine Learning and Defeating Adversarial Attacks IEEE Security & Privacy 2019 (2); by Bita Darvish Rouhani, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar
2019	Privacy-Preserving Machine Learning: Threats and Solutions IEEE Security & Privacy 2019 (2); by Mohammad Al-Rubaie, J. Morris Chang
2019	Artificial Intelligence, Ethics, and Enhanced Data Stewardship IEEE Security & Privacy 2019 (2); by Martin Abrams, John Abrams, Peter Cullen, Lynn Goldstein

Computing (specialised) / IEEE Internet Computing

2019	Shades of Knowledge-Infused Learning for Enhancing Deep Learning IEEE Internet Computing 2019 (6); by Amit P. Sheth, Manas Gaur, Ugur Kursuncu, Ruwan Wickramarachchi
2019	Machine Learning for Internet Congestion Control: Techniques and Challenges IEEE Internet Computing 2019 (5); by Lei Zhang 0157, Mowei Wang, Zhenjie Yang, Yong Jiang, Yong Cui
2019	Eureka: Edge-Based Discovery of Training Data for Machine Learning IEEE Internet Computing 2019 (4); by Ziqiang Feng, Shilpa Anna George, Jan Harkes, Roberta L. Klatzky, Mahadev Satyanarayanan, Padmanabhan Pillai
2019	Towards AI-Powered Multiple Cloud Management IEEE Internet Computing 2019 (1); by Beniamino Di Martino, Antonio Esposito, Ernesto Damiani

Hardware and Microprocessor Systems / IEEE Micro

2019	Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning IEEE Micro 2019 (6); by Shihui Yin, Jae-sun Seo, Yulhwa Kim, Xu Han, Hugh J. Barnaby, Shimeng Yu, Yandong Luo, Wangxin He, Xiaoyu Sun, Jae-Joon Kim
2019	Machine Learning Accelerators and More IEEE Micro 2019 (5); by Lizy Kurian John
2019	Machine Learning Acceleration IEEE Micro 2019 (5); by Hadi Esmaeilzadeh, Jongse Park
2019	SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning IEEE Micro 2019 (5); by Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee
2019	A Disaggregated Memory System for Deep Learning IEEE Micro 2019 (5); by Youngeun Kwon, Minsoo Rhu
2019	Earning Stripes in Medical Machine Learning IEEE Micro 2019 (5); by Shane Greenstein
2019	An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms IEEE Micro 2019 (5); by Mingu Kang, Prakalp Srivastava, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag
2019	Accelerating Image-Sensor-Based Deep Learning Applications IEEE Micro 2019 (5); by Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos
2019	Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training IEEE Micro 2019 (5); by Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David W. Nellans, Puneet Gupta
2019	A Hardware-Software Blueprint for Flexible Deep Learning Specialization IEEE Micro 2019 (5); by Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2019	DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator IEEE Micro 2019 (5); by Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Wei Wang 0333, Jintao Zhang, Marcel Schaal, Mauricio J. Serrano, Kazuaki Ishizaki, Hiroshi Inoue, Eri Ogawa, Moriyoshi Ohara, Leland Chang, Kailash Gopalakrishnan
2019	Misapplied Metaphors in AI Policy IEEE Micro 2019 (3); by Shane Greenstein
2019	Inside Project Brainwave's Cloud-Scale, Real-Time AI Processor IEEE Micro 2019 (3); by Jeremy Fowers, Kalin Ovtcharov, Michael K. Papamichael, Todd Massengill, Ming Liu, Daniel Lo, Shlomi Alkalay, Michael Haselman, Logan Adams, Mahdi Ghandi, Stephen Heil, Prerak Patel, Adam Sapek, Gabriel Weisz, Lisa Woods, Sitaram Lanka, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Doug Burger
2019	Memristive Accelerators for Dense and Sparse Linear Algebra: From Machine Learning to High-Performance Scientific Computing IEEE Micro 2019 (1); by Engin Ipek

Software Engineering / IEEE Software

2019	Sentiment Classification Using N-Gram Inverse Document Frequency and Automated Machine Learning IEEE Software 2019 (5); by Rungroj Maipradit, Hideaki Hata, Kenichi Matsumoto
2019	Think Your Artificial Intelligence Software Is Fair? Think Again IEEE Software 2019 (4); by Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang
2019	Quality, Nontechnical Skills, Blind Programmers, and Deep Learning IEEE Software 2019 (2); by Jeffrey C. Carver

UX & Human Factors / IEEE Computer Graphics & Applications

2019	DeepCompare: Visual and Interactive Comparison of Deep Learning Model Performance IEEE Computer Graphics & Applications 2019 (5); by Sugeerth Murugesan, Sana Malik, Fan Du, Eunyee Koh, Tuan Manh Lai
2019	Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning IEEE Computer Graphics & Applications 2019 (4); by Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang
2019	Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach IEEE Computer Graphics & Applications 2019 (4); by Hammad Haleem, Yong Wang, Abishek Puri, Sahil Wadhwa, Huamin Qu
2019	Fast Sketch Segmentation and Labeling With Deep Learning IEEE Computer Graphics & Applications 2019 (2); by Lei Li, Hongbo Fu, Chiew-Lan Tai

Software Engineering / ACM queue (FREE)

2019	Putting Machine Learning into Production Systems ACM queue (FREE) 2019 (4); by Adrian M. Colyer
2019	The Effects of Mixing Machine Learning and Human Judgment ACM queue (FREE) 2019 (4); by Michelle Vaccaro, Jim Waldo
2019	Troubling Trends in Machine Learning Scholarship ACM queue (FREE) 2019 (1); by Zachary C. Lipton, Jacob Steinhardt

Other / IEEE Annals of the History of Computing

2019	The Spring of Artificial Intelligence in Its Global Winter IEEE Annals of the History of Computing 2019 (4); by Youjung Shin

Computing (specialised) / IEEE Intelligent Systems

2019	Introduction to the Special Issue on AI for Disaster Management and Resilience IEEE Intelligent Systems 2019 (3); by Yu-Ru Lin, Carlos Castillo, Jie Yin

Computing (specialised) / IEEE Pervasive Computing

2019	Pervasive Data Science and AI IEEE Pervasive Computing 2019 (3); by Nigel Davies, Nicholas D. Lane, Mirco Musolesi

UX & Human Factors / IEEE Multimedia

2019	AI-Oriented Large-Scale Video Management for Smart City: Technologies, Standards, and Beyond IEEE Multimedia 2019 (2); by Lingyu Duan, Yihang Lou, Shiqi Wang, Wen Gao, Yong Rui
2019	Is Artificial Intelligence New to Multimedia? IEEE Multimedia 2019 (2); by Shu-Ching Chen
2019	Multimedia Deep Learning IEEE Multimedia 2019 (1); by Shu-Ching Chen

Computing (general) / PhD Theses

2019	Accelerating machine learning with training data management PhD Theses 2019 (1); by Alexander Ratner
2019	Security, Privacy, and Transparency Guarantees for Machine Learning Systems PhD Theses 2019 (1); by Mathias Lécuyer
2019	Scalable Machine Learning using Dataflow Graph Analysis PhD Theses 2019 (1); by Chien-Chin Huang
2019	Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon PhD Theses 2019 (1); by Donghun Lee
2019	Advances in Machine Learning: Nearest Neighbour Search, Learning to Optimize and Generative Modelling PhD Theses 2019 (1); by Ke Li
2019	Machine Learning-based Inverse Solution for Predictions of Impact Conditions during Car Collisions PhD Theses 2019 (1); by Tiange Li
2019	Colorectal cancer predictive test using germ-line DNA data and multiple machine learning methods PhD Theses 2019 (1); by Buyun Zhang
2019	Enabling new musical interactions with machine learning PhD Theses 2019 (1); by Chris Donahue
2019	Deep Learning Based Medical Image Analysis with Limited Data PhD Theses 2019 (1); by Jiaxing Tan
2019	Towards Interpretability and Robustness of Machine Learning Models PhD Theses 2019 (1); by Jianbo Chen
2019	Frozen Gaussian Approximation for Elastic Waves, Seismic Inversion and Deep Learning PhD Theses 2019 (1); by James C. Hateley
2019	Novel Machine Learning and Design Methods to Improve EEG-based Motor Imagery Brain-Computer Interfaces PhD Theses 2019 (1); by Mahta Mousavi
2019	Estimation of Information Measures and Its Applications in Machine Learning PhD Theses 2019 (1); by Mortaza Noushad Iranzad
2019	Machine learning-based acceleration of monogenic disease diagnosis PhD Theses 2019 (1); by Johannes Birgmeier
2019	Data-Driven Combinatorial Optimization and Efficient Machine Learning Frameworks PhD Theses 2019 (1); by Nourhan Sakr
2019	Interpretable deep learning for natural language processing PhD Theses 2019 (1); by W. James Murdoch
2019	Enhancing ontology learning with machine learning and natural language processing techniques PhD Theses 2019 (1); by Yue Liu
2019	Unpuzzling tetris: exploring the mechanisms of expertise in a complex, dynamic task with simple machine learning models PhD Theses 2019 (1); by Catherine Sibert
2019	Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms PhD Theses 2019 (1); by Kevin Eykholt
2019	Deep Learning for Action Understanding in Video PhD Theses 2019 (1); by Zheng Shou
2019	Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding PhD Theses 2019 (1); by Ismini Lourentzou
2019	Explainable Machine Learning for Science and Medicine PhD Theses 2019 (1); by Scott M. Lundberg
2019	Accurate, Fair, and Explainable: Building Human-Centered AI PhD Theses 2019 (1); by Aaron Springer
2019	Algorithms for Interactive Machine Learning PhD Theses 2019 (1); by Stefanos Poulis
2019	Integration of GIS and machine learning techniques to investigate the impact of environmental contexts on travel modes PhD Theses 2019 (1); by Kangjae Lee
2019	Ray: A Distributed Execution Engine for the Machine Learning Ecosystem PhD Theses 2019 (1); by Philipp Moritz
2019	Life Language Processing: Deep Learning-based Language-agnostic Processing of Proteomics, Genomics/Metagenomics, and Human Languages PhD Theses 2019 (1); by Ehsaneddin Asgari
2019	Optical imaging with machine learning for the automated characterization of micro- and nanoscale devices PhD Theses 2019 (1); by Sanyogita Purandare
2019	On Systems and Algorithms for Distributed Machine Learning PhD Theses 2019 (1); by Robert Nishihara
2019	Towards More Scalable and Robust Machine Learning PhD Theses 2019 (1); by Dong Yin
2019	Essays on social dynamics and application of machine learning PhD Theses 2019 (1); by Chi Zhang
2019	Diversity-Promoting and Large-Scale Machine Learning for Healthcare PhD Theses 2019 (1); by Pengtao Xie
2019	Using Machine Learning for Time Series to Elucidate Sentence Processing in the Brain PhD Theses 2019 (1); by Nicole Rafidi
2019	Deep Learning Performance Optimization via Model Parallelization PhD Theses 2019 (1); by Ahmad Albaqsami
2019	Machine Learning: Why Do Simple Algorithms Work So Well? PhD Theses 2019 (1); by Chi Jin
2019	Hierarchical Deep Learning for Disease Identification in High-Resolution Medical Imaging PhD Theses 2019 (1); by Daniel Clymer
2019	Complex-valued Deep Learning with Applications to Magnetic Resonance Image Synthesis PhD Theses 2019 (1); by Patrick Virtue
2019	Advances in privacy-preserving machine learning PhD Theses 2019 (1); by Om Dipakbhai Thakkar
2019	Machine Learning Based User Modeling for Enterprise Security and Privacy Risk Mitigation PhD Theses 2019 (1); by Preetam Dutta
2019	Towards Automatic Machine Learning Pipeline Design PhD Theses 2019 (1); by Mitar Milutinovic
2019	Dynamic Machine Learning with Least Square Objectives PhD Theses 2019 (1); by San Gultekin
2019	User Authentication and Security Vulnerabilities Using Smartphone Sensors and Machine Learning PhD Theses 2019 (1); by Wei-Han Lee
2019	Essays on Applied Machine Learning for Implied Volatility Interpolation and Artificial Counterfactuals PhD Theses 2019 (1); by Pablo Crespo
2019	Understanding and optimizing the statistical performance of machine learning models under memory budgets PhD Theses 2019 (1); by Jian Zhang
2019	Measuring Generalization and Overfitting in Machine Learning PhD Theses 2019 (1); by Rebecca Roelofs
2019	Secure and Private Machine Learning for Smart Devices PhD Theses 2019 (1); by Moustafa Farid Alzantot
2019	Effective usage of muscle simulation and deep learning for high-quality facial performance capture PhD Theses 2019 (1); by Michael Bao
2019	Optimization Methods for Resource Allocation and Machine Learning Applications PhD Theses 2019 (1); by Kartik Ahuja
2019	An application of machine learning to statistical physics: from the phases of quantum control to satisfiability problems PhD Theses 2019 (1); by Alexandre G. R. Day
2019	Bias Mitigation in Galaxy Zoo Using Machine Learning Techniques PhD Theses 2019 (1); by Pedro Silva do Nascimento Neto
2019	Studies of two-dimensional materials beyond graphene: from first-principles to machine learning approaches PhD Theses 2019 (1); by Paul Zakharia Fajar Hanakata
2019	Gradient Descent for Non-convex Problems in Modern Machine Learning PhD Theses 2019 (1); by Simon S. Du
2019	It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management PhD Theses 2019 (1); by Michael R. Anderson
2019	Optimizing Distributed Systems using Machine Learning PhD Theses 2019 (1); by Ignacio Agustin Cano
2019	Information theory meets big data: Theory, algorithms and applications to deep learning PhD Theses 2019 (1); by Weihao Gao
2019	Deep Learning-Enabled Computational Imaging in Optical Microscopy and Air Quality Monitoring PhD Theses 2019 (1); by Saurabh Kadekodi, Yichen Wu
2019	Exploring the Spectrum of Autism: Machine Learning and Dynamical Analysis Approaches PhD Theses 2019 (1); by Debha Amatya
2019	Efficient Higher-Order Optimization for Machine Learning PhD Theses 2019 (1); by Brian Bullins
2019	Combining supervised machine learning and structured knowledge for difficult perceptual tasks PhD Theses 2019 (1); by Matthew Klawonn
2019	Estimation de profondeur à partir d'images monoculaires par apprentissage profond. (Depth estimation from monocular images by deep learning) PhD Theses 2019 (1); by Michel Moukari
2019	Vers une nouvelle Interaction Homme Environnement dans les jeux vidéo et pervasifs : rétroaction biologique et états émotionnels : apprentissage profond non supervisé au service de l'affectique. (Towards a new Human Environment Interaction in video and pervasive games : biofeedback and emotional states : unsupervised deep learning for affectics) PhD Theses 2019 (1); by Viviane Gal
2019	Multimodal machine learning : complementarity of textual and visual contexts. (Apprentissage automatique multimodal : complémentarité des contextes textuels et visuels) PhD Theses 2019 (1); by Eloi Zablocki
2019	COLISEUM-3D : Une plate-forme innovante pour la segmentation d'images médicales par Raisonnement à Partir de Cas (RàPC) et méthodes d'apprentissage de type Deep Learning. (COLISEUM-3D : An innovative platform for medical image segmentation by case-based reasoning (CBR) and learning methods of type Deep Learning) PhD Theses 2019 (1); by Florent Marie
2019	Plateforme d'analyse de performances des méthodes de localisation des données dans le cloud basées sur l'apprentissage automatique exploitant des délais de messages. (Performance analysis platform of cloud data localization methods based on machine learning using message delays) PhD Theses 2019 (1); by Malik Irain
2019	Machine learning approaches for drug virtual screening. (Méthodes d'apprentissage statistique pour le criblage virtuel de médicament) PhD Theses 2019 (1); by Benoit Playe
2019	Design of optimization algorithms for large scale continuous problems : application on deep learning. (Conception d'algorithmes d'optimisation pour problèmes en grandes dimensions : application au Deep Learning) PhD Theses 2019 (1); by Léo Souquet
2019	Automatic landmarking for 2D biological images: image processing with and without deep learning methods. (Marquage automatique des images biologiques 2D: traitement d'images avec et sans méthodes d'apprentissage profond) PhD Theses 2019 (1); by Van Linh Le
2019	Machine learning-based flight trajectories prediction and air traffic conflict resolution advisory. (Prédiction de trajectoire et avis de résolution de conflits de trafic aérien basée sur l'apprentissage automatique) PhD Theses 2019 (1); by Duc-Thinh Pham
2019	Méthodes d'apprentissage statistique pour la détection de la signalisation routière à partir de véhicules traceurs. (Using probe vehicle data and machine learning algorithms for road signs detection) PhD Theses 2019 (1); by Yann Méneroux
2019	Introduction of high-dimensional interpretable machine learning models and their applications. (Introduction de modèles de machine learning interprétables en grande dimension et leurs applications) PhD Theses 2019 (1); by Simon Bussy
2019	Deep learning in event-based neuromorphic systems. (L'apprentissage profond dans les systèmes évènementiels, bio-inspirés) PhD Theses 2019 (1); by Johannes C. Thiele
2019	Modeling Quality of Experience of Internet Video Streaming by Controlled Experimentation and Machine Learning. (Modélisation de la qualité d'expérience de la vidéo streaming dans l'internet par expérimentation contrôlée et apprentissage machine) PhD Theses 2019 (1); by Muhammad Jawad Khokhar
2019	Réseaux de neurones profonds appliqués à la compréhension de la parole. (Deep learning applied to spoken langage understanding) PhD Theses 2019 (1); by Edwin Simonnet
2019	Lightweight material acquisition using deep learning. (Acquisition légère de matériaux par apprentissage profond) PhD Theses 2019 (1); by Valentin Deschaintre
2019	Advanced Difference of Convex functions Algorithms for some topics of Machine Learning with Big Data. (Algorithmes avancés de DCA pour certaines classes de problèmes en apprentissage automatique du Big Data) PhD Theses 2019 (1); by Bach Tran
2019	Steganalyse et stéganographie par apprentissage profond. (Steganalysis and steganography by deep learning) PhD Theses 2019 (1); by Mehdi Yedroudj
2019	Automatic Analysis of Macro and Micro Facial Expressions: Detection and Recognition via Machine Learning. (Analyse Automatique des Macro et Micro Expressions Faciales: Détection et Reconnaissance par Machine Learning) PhD Theses 2019 (1); by Dawood Al Chanti
2019	Contribution au développement de l'apprentissage profond dans les systèmes distribués. (Contribution to the development of deep learning in distributed systems) PhD Theses 2019 (1); by Corentin Hardy
2019	Intrinsically Motivated Goal Exploration in Child Development and Artificial Intelligence : Learning and Development of Speech and Tool Use. (Exploration intrinsèquement motivée orientée vers des buts dans le développement de l'enfant et en intelligence artificielle : apprentissage et développement de la parole et de l'utilisation des outils) PhD Theses 2019 (1); by Sébastien Forestier
2019	Parameter identification based on artificial intelligence optimization and distributed tracking control of fractional-order multi-agent systems. (Identification de paramètre basée sur l'optimisation de l'intelligence artificielle et le contrôle de suivi distribué des systèmes multi-agents d'ordre fractionnaire) PhD Theses 2019 (1); by Wei Hu
2019	Deep Learning for lesion and thrombus segmentation from cerebral MRI. (Apprentissage profond pour la segmentation de lesion et de thrombusdans des IRM cerebrales) PhD Theses 2019 (1); by Jonathan Kobold
2019	Continual forgetting-free deep learning from high-dimensional data streams. (L'apprentissage profond continu sans oubli sur les flux de données de haute dimension) PhD Theses 2019 (1); by Andrey Besedin
2019	Machine Learning Techniques for Online Resource Allocation in Wireless Networks. (Techniques d'apprentissage automatique pour l'allocation de ressources incrémental dans les réseaux sans fil) PhD Theses 2019 (1); by Nikolaos Liakopoulos
2019	Credit card fraud detection using machine learning with integration of contextual knowledge. (Détection de fraude par carte de crédit à l'aide de l'apprentissage automatique avec intégration des connaissances contextuelles) PhD Theses 2019 (1); by Yvan Lucas
2019	Entropy-Regularized Optimal Transport for Machine Learning. (Régularisation Entropique du Transport Optimal pour le Machine Learning) PhD Theses 2019 (1); by Aude Genevay
2019	Two sides of relevant information: anonymized representation through deep learning and predictor monitoring. (Deux aspects de l'information utile: représentation anonymisée par l'apprentissage profond et surveillance de prédicteur) PhD Theses 2019 (1); by Clément Feutry
2019	Deep Learning for Segmentation of Brain Tumors and Organs at Risk in Radiotherapy Planning. (Apprentissage profond pour la segmentation des tumeurs cérébrales et des organes à risque en radiothérapie) PhD Theses 2019 (1); by Pawel Mlynarski
2019	Machine Learning in Space Weather. (Apprentissage machine en météorologie spatiale) PhD Theses 2019 (1); by Mandar Chandorkar
2019	Deep learning and featured-based classification techniques for radar imagery. (Techniques de classification par deep learning et descripteurs pour l'imagerie radar) PhD Theses 2019 (1); by Carole Belloni
2019	Fault Detection and Diagnosis for Drones using Machine Learning. (Détection et diagnostic de pannes pour les drones utilisant la machine learning) PhD Theses 2019 (1); by Elgiz Baskaya
2019	Machine Learning for the prediction of aeronautical loads and stress. (Méthodes d'apprentissage statistique pour la prédiction de charges et de contraintes aéronautiques) PhD Theses 2019 (1); by Edouard Fournier
2019	Deep Learning for Robust Segmentation and Explainable Analysis of 3D and Dynamic Cardiac Images. (Apprentissage Profond pour la Segmentation Robuste et l'Analyse Explicable des Images Cardiaques Volumiques et Dynamiques) PhD Theses 2019 (1); by Qiao Zheng
2019	Apprentissage automatique rapide et lent. (Fast and slow machine learning) PhD Theses 2019 (1); by Jacob Montiel López
2019	Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data. (Aide à la décision spatiale dans les environnements urbains à l'aide du machine learning, de la géo-visualisation 3D et de l'intégration sémantique de données multi-sources) PhD Theses 2019 (1); by Nikolaos Sideris
2019	L'apprentissage automatique du rangement d'objets et son application à l'évaluation du lustre des perles de culture de Tahiti. (Machine learning of object storage and its application to the evaluation of the luster of Tahitian cultured pearls) PhD Theses 2019 (1); by Gaël Mondonneix
2019	Apprentissage profond appliqué à la reconnaissance des émotions dans la voix. (Deep learning applied to speech emotion recognition) PhD Theses 2019 (1); by Caroline Etienne
2019	Machine learning based on Hawkes processes and stochastic optimization. (Apprentissage automatique avec les processus de Hawkes et l'optimisation stochastique) PhD Theses 2019 (1); by Martin Bompaire
2019	Designing With Machine Learning for Interactive Music Dispositifs. (Design de l'apprentissage machine pour les dispositifs interactifs musicaux) PhD Theses 2019 (1); by Hugo Scurto
2019	Machine learning algorithms for behavior prediction in cloud computing architectures. (Algorithmes d'apprentissage automatique pour la prédiction de comportement dans les architectures de cloud computing) PhD Theses 2019 (1); by Matias Callara
2019	Architectures d'apprentissage profond pour la reconnaissance d'actions humaines dans des séquences vidéo RGB-D monoculaires : application à la surveillance dans les transports publics. (Deep learning architectures for human action recognition from monocular RGB-D video sequences : application to public transport monitoring) PhD Theses 2019 (1); by Huy-Hieu Pham
2019	Ambient Assisted Living with Deep Learning. (Aide ambiante à la personne par apprentissage profond) PhD Theses 2019 (1); by Erinc Merdivan
2019	Prévision et visualisation de l'affluence dans les transports en commun à l'aide de méthodes d'apprentissage automatique. (Forecasting and visualization of passenger demand in public transport network with machine learning methods) PhD Theses 2019 (1); by Florian Toqué
2019	Représentations vectorielles et apprentissage automatique pour l'alignement d'entités textuelles et de concepts d'ontologie: application à la biologie. (Vector Representations and Machine Learning for Alignment of Text Entities with Ontology Concepts: Application to Biology) PhD Theses 2019 (1); by Arnaud Ferré
2019	Apprentissage neuronal profond pour l'analyse de contenus multimodaux et temporels. (Deep learning for multimodal and temporal contents analysis) PhD Theses 2019 (1); by Valentin Vielzeuf
2019	Modeling and Coordination of interconnected microgrids using distributed artificial intelligence approaches. (Modélisation et coordination de micro-réseau interconnectées en utilisant l'intelligence artificielle distribuée) PhD Theses 2019 (1); by Jin Wei
2019	Approches d'apprentissage automatique basées sur l'analyse du cycle de marche pour l'aide au diagnostic de la maladie de Parkinson. (Machine learning approaches based on gait cycle analysis for diagnosis aid of Parkinson's disease) PhD Theses 2019 (1); by Nicolas Khoury
2019	Hybrid Machine Learning and Geometric Approaches for Single RGB Camera Relocalization. (Approches Hybrides entre l'Apprentissage Automatique et la Géométrique pour la Relocalisation d'une Seule Caméra RVB) PhD Theses 2019 (1); by Nam-Duong Duong
2019	Arc fault detection with machine learning. (Adaptation des méthodes d'apprentissage automatique pour la détection de défauts d'arc électriques) PhD Theses 2019 (1); by Hien Duc Vu
2019	Multi-Task Cross-Modality Deep Learning for Pedestrian Risk Estimation. (Apprentissage profond multi-tâches inter-modalités pour l'estimation des risques pour les piétons défendu) PhD Theses 2019 (1); by Danut Ovidiu Pop
2019	Input noise injection for supervised machine learning, with applications on genomic and image data. (Injection de bruit pour l'apprentissage automatique supervisé et application sur des données d'images et de génomique) PhD Theses 2019 (1); by Beyrem Khalfaoui
2019	Hyper-parameter optimization in deep learning and transfer learning: applications to medical imaging. (Optimisation d'hyper-paramètres en apprentissage profond et apprentissage par transfert: applications en imagerie médicale) PhD Theses 2019 (1); by Hadrien Bertrand
2019	Approche Intelligence Artificielle Distribuée pour une planification réactive et une aide à la conduite du processus de blocs opératoires hospitaliers. (Distributed Artificial Intelligence Approach for reactive planning and driving support of the hospital operating theater process) PhD Theses 2019 (1); by Bilal Bou Saleh
2019	SLAM and data fusion for autonomous vehicles : from classical approaches to deep learning methods. (SLAM et fusion de données pour le véhicule autonome : des approches classiques aux méthodes d'apprentissage en profondeur) PhD Theses 2019 (1); by Michelle Valente
2019	Machine Learning for Human Action Recognition and Pose Estimation based on 3D Information. (Apprentissage automatique pour la reconnaissance d'action humaine et l'estimation de pose à partir de l'information 3D) PhD Theses 2019 (1); by Diogo Carbonera Luvizon
2019	Machine Learning Methodologies for Uncovering the Mechanisms of Complex Diseases PhD Theses 2019 (1); by Aziz M. Mezlini
2019	Image processing and forward propagation using binary representations, and robust audio analysis using deep learning PhD Theses 2019 (1); by Fabrizio Pedersoli
2019	Alternative Splice Site Prediction with Deep Learning PhD Theses 2019 (1); by Hannes Bretschneider
2019	Diversity-inducing probability measures for machine learning PhD Theses 2019 (1); by Chengtao Li
2019	Building generative models over discrete structures: from graphical models to deep learning PhD Theses 2019 (1); by Andreea Gane
2019	Data Collection Framework and Machine Learning Algorithms for the Analysis of Cyber Security Attacks PhD Theses 2019 (1); by Chad Calvert
2019	Deep learning for spoken dialogue systems: application to nutrition PhD Theses 2019 (1); by Mandy Korpusik
2019	Learning with generalized negative dependence: probabilistic models of diversity for machine learning PhD Theses 2019 (1); by Zelda E. Mariet
2019	Predicting Melanoma Risk from Electronic Health Records with Machine Learning Techniques PhD Theses 2019 (1); by Aaron N. Richter
2019	Machine learning models for functional genomics and therapeutic design PhD Theses 2019 (1); by Haoyang Zeng
2019	Investigating Machine Learning Algorithms with Imbalanced Big Data PhD Theses 2019 (1); by Tawfiq Hasanin
2019	Revisiting generalization for deep learning: PAC-Bayes, flat minima, and generative models PhD Theses 2019 (1); by Gintare Karolina Dziugaite
2019	High dimensional analysis of genetic data for the classification of type 2 diabetes using advanced machine learning algorithms PhD Theses 2019 (1); by B. Abdulaimma
2019	Machine learning techniques for evolving threats PhD Theses 2019 (1); by Roberto Jordaney
2019	DFSGD: machine learning based intrusion detection for resource constrained devices PhD Theses 2019 (1); by Seo Jin Lee
2019	On the integration of conceptual hierarchies with deep learning for explainable open-domain question answering PhD Theses 2019 (1); by Harish Tayyar Madabushi
2019	Iterated-integral signatures in machine learning PhD Theses 2019 (1); by Jeremy Francis Reizenstein
2019	Deep learning for high dynamic range imaging PhD Theses 2019 (1); by Demetris Marnerides
2019	Geometry and uncertainty in deep learning for computer vision PhD Theses 2019 (1); by Alex Kendall
2019	Machine learning for the exploitation of high throughput omics data: a case study on identifying circadian disruption from human blood transcriptomic data PhD Theses 2019 (1); by Nofe Ateq Alganmi
2019	A machine learning framework for securing patient records PhD Theses 2019 (1); by Aaron Boddy
2019	Machine learning methods for vector-based compositional semantics PhD Theses 2019 (1); by Jean Maillard
2019	Deep learning-based person re-identification PhD Theses 2019 (1); by Alessandro Borgia
2019	Texture analysis based machine learning algorithms for ultrasound ovarian tumour image classification within clinical practices PhD Theses 2019 (1); by Dhurgham Al-Karawi
2019	Machine learning techniques for the detection and 3D localization of tracer particles in astigmatic images PhD Theses 2019 (1); by Simon Franchini
2019	A machine learning-based investigation of cloud service attacks PhD Theses 2019 (1); by Intisar Al-Mandhari
2019	Interpreting deep learning for cell differentiation: supervised and unsupervised models viewed through the lens of information and perturbation theory PhD Theses 2019 (1); by Helena Andrés-Terré
2019	Aspect-based sentiment analysis for Arabic reviews using deep learning PhD Theses 2019 (1); by Nada M. Almani
2019	Spatial resolution enhancement using deep learning and data augmentation for cloud-based infrastructure PhD Theses 2019 (1); by Moataz Ahmed Abdelghaffar Mohamed
2019	Machine learning applied to the study of knee osteoarthritis and associated pain PhD Theses 2019 (1); by Luca Minciullo
2019	Equivariance for deep learning and retinal imaging PhD Theses 2019 (1); by Daniel E. Worrall
2019	Prototyping relational things that talk: a discursive design strategy for conversational AI systems PhD Theses 2019 (1); by Birgitte Aga
2019	Leveraging structure for optimization in deep learning PhD Theses 2019 (1); by Leonard Berrada
2019	Machine learning and privacy preserving algorithms for spatial and temporal sensing PhD Theses 2019 (1); by Abhirup Ghosh
2019	Uncertainty estimation in deep learning with application to spoken language assessment PhD Theses 2019 (1); by Andrey Malinin
2019	Super-resolution in still images and videos via deep learning PhD Theses 2019 (1); by Farzad Toutounchi
2019	Automatic handwriter identification using advanced machine learning PhD Theses 2019 (1); by Amal Durou
2019	Quantum-classical generative models for machine learning PhD Theses 2019 (1); by Marcello Benedetti
2019	An investigation into visual content understanding based on deep learning and natural language processing PhD Theses 2019 (1); by Ke Sun
2019	An elastic, parallel and distributed computing architecture for machine learning PhD Theses 2019 (1); by Anthony Zhenyu Li
2019	AI governance through a transparency lens PhD Theses 2019 (1); by Andreas Theodorou
2019	Interpretable models in probabilistic machine learning PhD Theses 2019 (1); by Hyunjik Kim
2019	A machine learning classification framework for early prediction of Alzheimer's disease PhD Theses 2019 (1); by Mohamed Mahyoub
2019	The application of machine learning for early detection of at-risk learners in Massive Open Online Courses PhD Theses 2019 (1); by Raghad Al-Shabandar
2019	Machine learning in portfolio and risk management PhD Theses 2019 (1); by Timothy Tao Hin Law
2019	Enhancing reaction-based de novo design using machine learning PhD Theses 2019 (1); by Gian Marco Ghiandoni
2019	Effective features and machine learning methods for document classification PhD Theses 2019 (1); by Maysa I. A. Almulla Khalaf
2019	Reducing errors in optical data transmission using trainable machine learning methods PhD Theses 2019 (1); by Weam M. Binjumah
2019	Modelling, inference and optimization in probabilistic machine learning PhD Theses 2019 (1); by Xiaoyu Lu
2019	ScatterNet hybrid frameworks for deep learning PhD Theses 2019 (1); by Amarjot Singh
2019	Identification of data structure with machine learning: from Fisher to Bayesian networks PhD Theses 2019 (1); by Raúl V. Casaña Eslava
2019	Test time cost sensitivity in machine learning PhD Theses 2019 (1); by Gavin Gray
2019	Artificial intelligence and machine learning approach to measuring energy consumption in data centre facilities PhD Theses 2019 (1); by Sanjeewa Jayathilake
2019	Vision-based human motion analysis, with deep learning PhD Theses 2019 (1); by Wei Zeng
2019	Optimization for, and by, machine learning PhD Theses 2019 (1); by Alban Desmaison
2019	Parallelised Bayesian optimisation for deep learning PhD Theses 2019 (1); by Lykourgos Kekempanos
2019	Practical deep learning PhD Theses 2019 (1); by Hao Dong
2019	Black-box security: measuring black-box information leakage via machine learning PhD Theses 2019 (1); by Giovanni Cherubin
2019	Design and real-world application of novel machine learning techniques for improving face recognition algorithms PhD Theses 2019 (1); by Daniel Sáez-Trigueros
2019	Machine learning applications in finance: some case studies PhD Theses 2019 (1); by Zhen Wei
2019	Design optimisation and real-time energy management control of the electrified off-highway vehicle with artificial intelligence PhD Theses 2019 (1); by Quan Zhou
2019	Machine learning of antonyms in English and Arabic corpora PhD Theses 2019 (1); by Luluh Aldhubayi
2019	A machine learning clustering technique for autism screening and other applications PhD Theses 2019 (1); by Said Baadel
2019	Deep learning for real world face alignment PhD Theses 2019 (1); by Adrian Bulat
2019	Deep learning for communication: emergence, recognition and synthesis PhD Theses 2019 (1); by Ioannis Alexandros Assael
2019	A machine learning and computer assisted methodology for diagnosing chronic lower back pain on lumbar spine magnetic resonance images PhD Theses 2019 (1); by Ala S. Al Kafri
2019	A machine learning enhanced scheme for intelligent network management PhD Theses 2019 (1); by Yuan Zuo
2019	Artificial intelligence in co-operative games with partial observability PhD Theses 2019 (1); by Piers R. Williams
2019	Fungus Detection Using Computer Vision and Machine Learning Techniques PhD Theses 2019 (1); by Muhammad Waseem Tahir
2019	Hyperparameters, tuning and meta-learning for random forest and other machine learning algorithms PhD Theses 2019 (1); by Philipp Probst
2019	Novel Machine Learning Approaches for Neurophysiological Data Analysis PhD Theses 2019 (1); by Elke Kirschbaum
2019	Optimizing end-to-end machine learning pipelines for model training PhD Theses 2019 (1); by Andreas Kunft
2019	Pattern analysis for power safe testing and prediction using machine learning PhD Theses 2019 (1); by Harshad Dhotre
2019	Machine learning-based available bandwidth estimation PhD Theses 2019 (1); by Sukhpreet Kaur Khangura
2019	A machine learning perspective on unraveling, modeling and predicting player behavior in digital games PhD Theses 2019 (1); by Rafet Sifa
2019	Black-Box Parallelization for Machine Learning PhD Theses 2019 (1); by Michael Kamp
2019	Building information extraction and refinement from VHR satellite imagery using deep learning techniques PhD Theses 2019 (1); by Ksenia Bittner
2019	Learning representations for supervised information fusion using tensor decompositions and deep learning methods PhD Theses 2019 (1); by Stephan Baier
2019	Deep Learning for Visual Scene Understanding in Autonomous Driving PhD Theses 2019 (1); by Ibrahim Halfaoui
2019	Application of machine learning enhanced agent-based techniques in hydrology and water resource management PhD Theses 2019 (1); by Benjamin Mewes
2019	Fully-automated plant recognition systems in challenging controlled and uncontrolled environments using classical and Deep Learning methods PhD Theses 2019 (1); by Masoud Fathi Kazerouni
2019	Analyzing tumor lesions in PET/CT images using deep learning methods and physiological models PhD Theses 2019 (1); by Lina Xu
2019	Phase Segmentation and Analysis of Tomographic Rock Images Using Machine Learning Techniques PhD Theses 2019 (1); by Swaroop Chauhan
2019	Machine learning on data streams: improving the applicability and performance of stream clustering algorithms PhD Theses 2019 (1); by Matthias Carnein
2019	Modellierung thematischer Nähe in Organisationen durch Machine Learning PhD Theses 2019 (1); by Thomas Thiele
2019	Efficient and Explainable Detection of Mobile Malware with Machine Learning PhD Theses 2019 (1); by Daniel Arp
2019	Hand Gesture and Pose Recognition using Deep Learning for Hygiene Monitoring PhD Theses 2019 (1); by Armin Dietz
2019	Context-Aware Decision Making in Wireless Networks: Optimization and Machine Learning Approaches PhD Theses 2019 (1); by Sabrina Klos
2019	Machine Learning for Anomaly Detection under Constraints PhD Theses 2019 (1); by Bojan Kolosnjaji
2019	Comparative Quality Estimation for Machine Translation. An Application of Artificial Intelligence on Language Technology using Machine Learning of Human Preferences PhD Theses 2019 (1); by Eleftherios Avramidis
2019	Analysis of machine learning algorithms for the recognition of basic emotions: data mining of psychophysiological sensor information PhD Theses 2019 (1); by Lin Zhang
2019	Features and machine learning systems for structured and sequential data PhD Theses 2019 (1); by Guido Schwenk
2019	Deep learning and isolation based security for intrusion detection and prevention in grid computing PhD Theses 2019 (1); by Andrés Gómez Ramírez
2019	Machine Learning for Non-Intrusive Load Monitoring PhD Theses 2019 (1); by Matthias Kahl
2019	Hand-and-finger-awareness for mobile touch Interaction using deep learning PhD Theses 2019 (1); by Huy Viet Le
2019	On benchmark experiments and visualization methods for the evaluation and interpretation of machine learning models PhD Theses 2019 (1); by Giuseppe Casalicchio
2019	Artificial Intelligence for Efficient Image-based View Synthesis PhD Theses 2019 (1); by Thomas Leimkühler
2019	Supervised machine learning in service systems: deriving insights from distributed data PhD Theses 2019 (1); by Robin Hirt
2019	Automatische Verarbeitung von Spontansprachinterviews des Aachener Aphasie Tests mittels Verfahren des maschinellen Lernens = Automatic processing of spontaneous speech interviews of the Aachen Aphasia Test using machine learning methods PhD Theses 2019 (1); by Christian Kohlschein
2019	Improving the Capabilities of Distributed Collaborative Intrusion Detection Systems using Machine Learning PhD Theses 2019 (1); by Carlos Garcia Cordero
2019	Machine learning in advanced driver-assistance systems PhD Theses 2019 (1); by Farzin Ghorban
2019	Machine learning in financial markets PhD Theses 2019 (1); by Thomas G. Fischer
2019	Opening the machine learning black box with Layer-wise Relevance Propagation PhD Theses 2019 (1); by Sebastian Lapuschkin
2019	Off-board car diagnostics based on heterogeneous, highly imbalanced and high-dimensional data using machine learning techniques PhD Theses 2019 (1); by Bernhard Schlegel
2019	Interpolation-Assisted Evolutionary Rule-Based Machine Learning - Strategies to Counter Knowledge Gaps in XCS-Based Self-Learning Adaptive Systems PhD Theses 2019 (1); by Anthony Stein
2019	Machine learning under test-time budget constraints PhD Theses 2019 (1); by Sven Peter
2019	Machine Learning for Connectomics PhD Theses 2019 (1); by Benedikt Staffler
2019	Artificial Intelligence for Medical Image Understanding PhD Theses 2019 (1); by Florin-Cristian Ghesu
2019	Efficient Machine Learning for Attack Detection PhD Theses 2019 (1); by Christian Wressnegger
2019	Linguistic interpretation of visual contents via Deep Learning PhD Theses 2019 (1); by Ali Sharifi Boroujerdi
2019	Distribution-Dissimilarities in Machine Learning PhD Theses 2019 (1); by Carl-Johann Simon-Gabriel
2019	Efficient learning machines: from kernel methods to deep learning PhD Theses 2019 (1); by Maximilian Alber
2019	Applications of Information Theory and Factor Graphs for Machine Learning PhD Theses 2019 (1); by Rana Ali Amjad
2019	Models of human movement detection in video frames using machine learning technology PhD Theses 2019 (1); by Arwa Alzughaibi
2019	Deep learning on graphs - applications to brain network connectivity PhD Theses 2019 (1); by Xingjuan Li
2019	Advanced deep learning approaches for biosingnals applications PhD Theses 2019 (1); by Marwa Farouk Ibrahim Ibrahim
2019	Concept Drift Detection for Machine Learning with Stream Data PhD Theses 2019 (1); by Wei Wang 0265, Feng Gu
2019	Application of Deep Learning for Environmental Information Extraction from Remote Sensing Imagery PhD Theses 2019 (1); by Lei Zhang, Guang Xu
2019	Video-based similar gesture action recognition using deep learning and GAN-based approaches PhD Theses 2019 (1); by Di Wu
2019	Machine learning based forecasting and optimization of a building energy comfort management system for sustainability PhD Theses 2019 (1); by Christopher S. Madden, Tich Phuoc Tran, Muhammad Qamar Raza
2019	Protein sequential, structural and functional analysis using deep learning PhD Theses 2019 (1); by Ying Xu
2019	When robust machine learning meets noisy supervision : mechanism, optimization and generalization PhD Theses 2019 (1); by Liyang Liu, Shuai Jiang, Bo Han
2019	A deep learning framework for BGP anomaly detection and classification PhD Theses 2019 (1); by Paulo Fonseca
2019	Dengue incidence rate estimation using aerial and street-level urban imagery with deep learning models PhD Theses 2019 (1); by Virginia O. Andersson
2019	Tensor networks and machine learning for approximating and optimizing functions in quantum physics (Tensornetzwerke und maschinelles Lernen für das Approximieren und Optimieren von Funktionen in der Quantenphysik) PhD Theses 2019 (1); by Moritz August
2019	Interpretable machine learning methods for prediction and analysis of genome regulation in 3D PhD Theses 2019 (1); by Sarvesh Nikumbh
2019	Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures PhD Theses 2019 (1); by Kingsley Adjenughwure
2019	Reduced order models and machine learning in analysis and optimum design of structures PhD Theses 2019 (1); by Nikos Ath. Kallioras
2019	Indoor localization systems for retail stores: an artificial intelligence location analytics approach PhD Theses 2019 (1); by Vasileios Stavrou
2019	Advanced machine learning methods for network intrusion detection PhD Theses 2019 (1); by Dimitrios Papamartzivanos
2019	Scalable Machine Learning through Approximation and Distributed Computing PhD Theses 2019 (1); by Theodore Vasiloudis
2019	New Approaches to Simultaneous Multislice Magnetic Resonance Imaging : Sequence Optimization and Deep Learning based Image Reconstruction (Neue Methoden in der Gleichzeitigen Magnetresonanz-Mehrschichtbildgebung : Sequenz Optimierung und Deep Learning basierte Bildrekonstruktion) PhD Theses 2019 (1); by Klaus Eickel
2019	Scene Understanding for Autonomous Manipulation with Deep Learning PhD Theses 2019 (1); by Anh Nguyen
2019	Machine Learning Approaches for Data-Driven Analysis and Forecasting of High-Dimensional Chaotic Dynamical Systems PhD Theses 2019 (1); by Jaideep Pathak
2019	Effective Testing Of Advanced Driver Assistance Systems Using Evolutionary Algorithms And Machine Learning PhD Theses 2019 (1); by Raja Ben Abdessalem
2019	Deep Learning in Personalized Medicine: Applications in Patient Similarity, prognosis, and Optimal treatment Selection PhD Theses 2019 (1); by Beau Norgeot
2019	Structured Learning for Structural Bioinformatics: Applications of Deep Learning to Protein Structure Prediction PhD Theses 2019 (1); by David Menéndez Hurtado
2019	Novel Defenses Against Data Poisoning in Adversarial Machine Learning PhD Theses 2019 (1); by Sandamal Weerasinghe
2019	Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection PhD Theses 2019 (1); by Ju Huyan
2019	Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning PhD Theses 2019 (1); by Jason Deglint
2019	Efficient Light-Transport Simulation Using Machine Learning PhD Theses 2019 (1); by Thomas Müller
2019	Pattern Aided Explainable Machine Learning PhD Theses 2019 (1); by Yunzhe Jia
2019	Big Data mining and machine learning techniques applied to real world scenarios PhD Theses 2019 (1); by Andrea Pagliarani
2019	Spatiotemporal modeling of brain dynamics using machine learning approaches PhD Theses 2019 (1); by Shiyang Chen
2019	Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets PhD Theses 2019 (1); by Patrick O. Glauner
2019	Combinational Machine Learning Creativity PhD Theses 2019 (1); by Matthew James Guzdial
2019	Building Constraints, Geometric Invariants and Interpretability in Deep Learning: Applications in Computational Imaging and Vision PhD Theses 2019 (1); by Suhas Anand Lohit
2019	Smart Finite Elements: An application of Machine Learning to Reduced-Order Modeling of Multi-Scale Problems PhD Theses 2019 (1); by German Capuano
2019	Weakly Supervised Machine Learning for Cyberbullying Detection PhD Theses 2019 (1); by Elaheh Raisi
2019	Machine learning methods for brain state-dependent motor rehabilitation after stroke PhD Theses 2019 (1); by Andreas Meinel
2019	Navigating by decoding grid cells: Investigating the role of entorhinal grid cells through computational modeling at the intersection of neuroscience and artificial intelligence PhD Theses 2019 (1); by Vegard Edvardsen
2019	Prostate Cancer Diagnosis from Multi-parametric Magnetic Resonance Imaging via Deep Learning PhD Theses 2019 (1); by Ruiming Cao
2019	Deep Learning for Fingerprint Recognition Systems PhD Theses 2019 (1); by Patrick Schuch
2019	Making Machine Learning Work in Chemistry: Methodological Innovation, Software Development, and Application Studies PhD Theses 2019 (1); by Mojtaba Haghighatlari
2019	An ab initio lncRNA identification and functional annotation tool based on deep learning PhD Theses 2019 (1); by Cheng Yang
2019	Applying machine learning to derive actionable insights in precision oncology PhD Theses 2019 (1); by Mi Yang
2019	Global Ensemble Streamflow and Flood Modeling with Application of Large Data Analytics, Deep learning and GIS PhD Theses 2019 (1); by Sepideh Bahrami
2019	Detekcija ljudi na slikama iz zraka za potrebe misija potrage i spašavanja upotrebom metoda dubokog učenja ; Deep Learning Approach in Human Detection on Aerial images for Search and Rescue Missions PhD Theses 2019 (1); by Zeljko Marusic
2019	Enhancing wellbeing using artificial intelligence techniques PhD Theses 2019 (1); by Athanasios I. Kyritsis
2019	Machine Learning in Resource-constrained Devices: Algorithms, Strategies, and Applications PhD Theses 2019 (1); by Edoardo Ragusa
2019	Machine Learning Models for Epigenomics PhD Theses 2019 (1); by Artur Tomasz Jaroszewicz
2019	Deep Learning for Anomaly Detection PhD Theses 2019 (1); by Raghavendra Chalapathy
2019	Automated Machine Learning: A Biologically Inspired Approach PhD Theses 2019 (1); by Jason Paul Zutty
2019	Improving the Usability of Static Analysis Tools Using Machine Learning PhD Theses 2019 (1); by Ugur Koc
2019	Integrated Field Inversion and Machine Learning With Embedded Neural Network Training for Turbulence Modeling PhD Theses 2019 (1); by Jonathan Richard Holland
2019	Využití metod umělé inteligence pro simulaci a identifikaci dat v oblasti proudění (UTILIZATION OF ARTIFICIAL INTELLIGENCE FOR SIMULATION AND DATA IDENTIFICATION IN THE FIELD OF FLOWING) PhD Theses 2019 (1); by Jan Richter
2019	Advancements in Probabilistic Machine Learning and Causal Inference for Personalized Medicine PhD Theses 2019 (1); by Elizabeth C. Lorenzi
2019	Machine Learning Methods for Urban Computing PhD Theses 2019 (1); by Gianni Barlacchi
2019	Machine Learning Methods for Classification of Unstructured Data PhD Theses 2019 (1); by Luiza Sayfullina
2019	Data mining and machine learning techniques for neonatal EEG event recall PhD Theses 2019 (1); by Brian Michael Murphy
2019	Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease PhD Theses 2019 (1); by Nastaran Mohammadian Rad
2019	Predicting the Evolutionary and Medical Significance of Human Genetic Variations with Machine Learning PhD Theses 2019 (1); by Arnab Saha Mandal
2019	Deep Learning Architectures for Automated Image Segmentation PhD Theses 2019 (1); by Debleena Sengupta
2019	On-board Image Augmentation Using Prior Image and Deep Learning for Image-guided Radiation Therapy PhD Theses 2019 (1); by Yingxuan Chen
2019	Network Traffic Fingerprinting using Machine Learning and Evolutionary Computing PhD Theses 2019 (1); by Ahmet Aksoy
2019	System-Aware Algorithms For Machine Learning PhD Theses 2019 (1); by Celestine Mendler-Dünner
2019	Computer Vision and Deep Learning for retail store management PhD Theses 2019 (1); by Alessio Tonioni
2019	Topological Based Machine Learning Methods PhD Theses 2019 (1); by Alex Georges
2019	Klasifikace audia hlubokým učením s limitovanými zdroji dat ; Audio Classification with Deep Learning on Limited Data Sets PhD Theses 2019 (1); by Pavol Harár
2019	Dynamics of functional brain connectivity in schizophrenia: machine learning models for diagnosis and prognosis PhD Theses 2019 (1); by Akhil R. Kottaram
2019	Deep Learning for the Analysis of Latent Fingerprint Images PhD Theses 2019 (1); by Jude Ezeobiejesi
2019	Topic Discovery from Textual Data: Machine Learning and Natural Language Processing for Knowledge Discovery in the Fisheries Domain PhD Theses 2019 (1); by Shaheen Syed
2019	Lightweight Deep Learning for Biomedical Image Segmentation PhD Theses 2019 (1); by Dylan Uys
2019	Efficient and Scalable Deep Learning PhD Theses 2019 (1); by Wei Wen
2019	Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing PhD Theses 2019 (1); by Mohammed Hamad Almannaa
2019	Mid-Price Movement Prediction in Limit Order Books Using Feature Engineering and Machine Learning PhD Theses 2019 (1); by Adamantios Ntakaris
2019	Deep Learning-based Image Synthesis using Sketching and Example-based Techniques PhD Theses 2019 (1); by Tiziano Portenier
2019	Neurocube: Energy-Efficient Programmable Digital Deep Learning Accelerator based on Processor in Memory Platform PhD Theses 2019 (1); by Duckhwan Kim
2019	Popular Content Distribution in Public Transportation Using Artificial Intelligence Techniques PhD Theses 2019 (1); by Kais Elmurtadi Suleiman
2019	Machine Learning and Optimization Models to Assess and Enhance System Resilience PhD Theses 2019 (1); by Xiaoge Zhang
2019	Cross Layer-based Intrusion Detection System Using Machine Learning for MANETs PhD Theses 2019 (1); by Amar Amouri
2019	Matching Algorithm Design in E-Commerce: Harnessing the Power of Machine Learning via Stochastic Optimization PhD Theses 2019 (1); by Pan Xu
2019	Probabilistic photometric redshift estimation in massive digital sky surveys via machine learning PhD Theses 2019 (1); by Antonio D'Isanto
2019	Prediction of Electronic Component Prices: from Classical Statistical and Machine Learning Models to Deep Neural Networks with Feature Embedding PhD Theses 2019 (1); by Yu Zhang
2019	Design methodology for 3d-stacked imaging systems with integrated deep learning PhD Theses 2019 (1); by Mohammad Faisal Amir
2019	Machine Learning-based Techniques for Automating Image-Guided cochlear implant Programming PhD Theses 2019 (1); by Dongqing Zhang
2019	Image Retrieval and Geolocalization with Deep Learning PhD Theses 2019 (1); by Nam Ngoc Vo
2019	Computational tools to address challenging targets in drug discovery: target-focused chemical libraries and structure-based machine learning PhD Theses 2019 (1); by Yusuf O. Adeshina
2019	Balancing Generality and Specialization for Machine Learning in the Post-ISA Era PhD Theses 2019 (1); by Divya Mahajan
2019	Machine learning on complex networks: dynamical fingerprints, embeddings and feature engineering PhD Theses 2019 (1); by Efrain-Leonardo Gutierrez Gomez
2019	Automated Scoring for Cystic Fibrosis in Chest Radiographs based on Deep Learning Methods PhD Theses 2019 (1); by Zhao-Wei Huang
2019	Interpreting Machine Learning Models and Application of Homotopy Methods PhD Theses 2019 (1); by Roozbeh Yousefzadeh
2019	Using deep learning methods for supervised speech enhancement in noisy and reverberant environments PhD Theses 2019 (1); by Shadi Pir Hosseinloo
2019	Machine learning to generate soil information PhD Theses 2019 (1); by José Sergei Padarian Campusano
2019	Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems PhD Theses 2019 (1); by Tugba Erpek
2019	Machine Learning on Mars: A New Lens on Data from Planetary Exploration Missions PhD Theses 2019 (1); by Hannah Rae Kerner
2019	Multi-objective analysis of machine learning algorithms using model-based optimization techniques PhD Theses 2019 (1); by Daniel Horn
2019	Cloud-based machine learning architecture for big data analysis PhD Theses 2019 (1); by Rezvan Pakdel
2019	Deep Learning for Automated Medical Image Analysis PhD Theses 2019 (1); by Wentao Zhu
2019	Bringing a Humanoid Robot Closer to Human Versatility : Hard Realtime Software Architecture and Deep Learning Based Tactile Sensing (Einen humanoiden Roboter näher an die menschliche Vielseitigkeit heranbringen : Harte Echtzeit-Softwarearchitektur und Deep Learning-basiertes taktile Materialerkennung.) PhD Theses 2019 (1); by Berthold Bäuml
2019	Cooperation of Human and Artificial Intelligence on the Planning and Execution of Manned-Unmanned Teaming Missions in the Military Helicopter Domain : Concept, Requirements, Design, Validation PhD Theses 2019 (1); by Ruben Strenzke
2019	Regularization in Machine Learning with Applications in Biology PhD Theses 2019 (1); by Syeda Hassan
2019	Improving Acute Ischemic Stroke Clinical and Imaging Outcome Classification using Machine Learning and Deep Learning Methods PhD Theses 2019 (1); by King Chung Ho
2019	Detekcija otočnog pogona foto naponskih sustava metodama umjetne inteligencije ; Detection of island powered photo voltage systems by artificial intelligence methods PhD Theses 2019 (1); by Dragan Mlakic
2019	A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters PhD Theses 2019 (1); by Adel Alshehri
2019	Inverse problems in signal processing: Functional optimization, parameter estimation and machine learning PhD Theses 2019 (1); by Pol del Aguila Pla
2019	Novel Deep Learning Models for Medical Imaging Analysis PhD Theses 2019 (1); by Fei Gao
2019	Računalni postupci za modeliranje i analizu medijske agende temeljeni na strojnome učenju ; Computational methods for modelling and analysis of the media agenda based on machine learning PhD Theses 2019 (1); by Damir Korencic
2019	Optimization and deep learning techniques for next-generation wireless communication networks PhD Theses 2019 (1); by Xiangyue Meng
2019	Deep learning methods for likelihood-free inference :approximating the posterior distribution with convolutional neural networks PhD Theses 2019 (1); by Ulf K. Mertens
2019	Predicting the Complexity and Progression of the Gut Microbiome Using Temporal Data and Deep Learning PhD Theses 2019 (1); by Michael Wiest
2019	Parameterized and Machine Learning Methods for Estimating Evapotranspiration from Satellite Data PhD Theses 2019 (1); by Corinne Minette Carter
2019	Deep learning based automated latent fingerprint identification PhD Theses 2019 (1); by Yanming Zhu
2019	Optimization for Training Deep Models and Deep Learning Based Point Cloud Analysis and Image Classification PhD Theses 2019 (1); by Yuanwei Wu
2019	Robust and Generalizable Machine Learning through Generative Models,Adversarial Training, and Physics Priors PhD Theses 2019 (1); by Houpu Yao
2019	Thyroid texture classification using machine learning in conjunction with autoregressive modeling and deep learning : [kumulative Dissertation] PhD Theses 2019 (1); by Prabal Poudel
2019	Accelerated Deep Learning for the Edge-to-Cloud continuum: a Specialized Full Stack derived from Algorithms PhD Theses 2019 (1); by Hardik Sharma
2019	Machine Learning, Game Theory Algorithms, and Medium Access Protocols for 5G and Internet-of-Thing (IoT) Networks PhD Theses 2019 (1); by Mohamed Elkourdi
2019	Contributions to Trajectory Analysis and Prediction: Statistical and Deep Learning Techniques PhD Theses 2019 (1); by Al-Molegi Abdulrahman Qasem
2019	Efficient Deep Learning Models and Their Applications to Health Informatics PhD Theses 2019 (1); by Md. Mostafa Kamal Sarker
2019	Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms PhD Theses 2019 (1); by Karen López-Linares Román
2019	Forecasting and decision support for type 1 diabetes insulin therapy using machine learning PhD Theses 2019 (1); by Silvia Oviedo Castillo
2019	Early screening of dyslexia using a language-independent content game and machine learning PhD Theses 2019 (1); by Maria Rauschenberger
2019	Deep learning -based segmentation methods for computer-assisted fetal surgery PhD Theses 2019 (1); by Jordina Torrents-Barrena
2019	Diabetic Retinopathy Classification and Interpretation using Deep Learning Techniques PhD Theses 2019 (1); by Jordi de La Torre
2019	Akıllı ulaşım sistemleri için karayolu tipi, kavşak ve virajların derin öğrenme yöntemleri ile belirlenmesi (Determination of highway type, intersections and curves for intelligent transportation systems by deep learning methods) PhD Theses 2019 (1); by Vedat Tümen
2019	Derin öğrenme tabanlı beyin MR görüntülerinden beyin tümörlerinin tespit edilmesi ve sınıflandırılması (Detection and classification of brain tumors from MR images based on deep learning) PhD Theses 2019 (1); by Ali Ari
2019	Yapay zekâ tekniklerinin kullanımıyla protein etkileşimlerinin sekans bilgisine dayalı tahmini (Prediction of protein interactions by using artificial intelligence techniques based on protein sequence data) PhD Theses 2019 (1); by Yunus Emre Göktepe
2019	Görüntü işleme ve makine öğrenmesi kullanarak elmalarda çürük tespiti (The detection of bruises on apples using machine learning and image processing) PhD Theses 2019 (1); by Onur Cömert
2019	Algısal özet fonksiyonları tabanlı derin öğrenme yöntemleri kullanılarak imgelerin sınıflandırılması (Classification of images by using deep learning methods based on perceptual hash functions) PhD Theses 2019 (1); by Fatih Özyurt
2019	Makine öğrenmesi algoritmaları kullanılarak glossokinetik potansiyel tabanlı dil-makine arayüzü tasarımı (Glossokinetic potential based tongue-machine interface design using machine learning algorithms) PhD Theses 2019 (1); by Kutlucan Gorur
2019	Bölütlenmiş histopatolojik görüntüler üzerinde derin öğrenme yöntemiyle kolon kanseri tespiti (Detecting colon cancer using deep learning on segmented histopathological images) PhD Theses 2019 (1); by Ulas Yurtsever
2019	Yüz analizine dayalı derin öğrenme tabanlı bir ilgi tespit sisteminin gerçekleştirilmesi (Development of an interest detection system based on facial analysis using deep learning) PhD Theses 2019 (1); by Gozde Yolcu Oztel
2019	Makine öğrenmesi uygulamalarında yapay arı koloni programlama temelli yeni yöntemlerin geliştirilmesi (Development of new methods based on artificial bee colony programming in machine learning applications) PhD Theses 2019 (1); by Sibel Arslan
2019	A new deep learning approach: Differential convolutional neural network (Yeni bir derin öğrenme yaklaşımı: Farksal konvolüsyonel sinir ağı) PhD Theses 2019 (1); by Mehmet Sarigül
2019	Ethercat tabanlı bir SCADA sisteminde kural ve makine öğrenmesine dayalı saldırı ve anomali tespiti (Rule and machine learning based intrusion and anomaly detection in an ethercat based SCADA system) PhD Theses 2019 (1); by Kevser Ovaz Akpinar
2019	EEG işaretlerinden epilepsi türlerinin sınıflandırılmasında skalogram tabanlı derin öğrenme yaklaşımı (Scalogram based deep learning approach for classification of epilepsy types from EEG signals) PhD Theses 2019 (1); by Ömer Türk
2019	Study of word embedding rules and machine learning based text classification (Kelime gömme kuralları ve metin sınıflandırması tabanlı makine öğrenme üzerine bir çalışma) PhD Theses 2019 (1); by Asmaa Al-Gartanee
2019	Derin öğrenme yöntemleri ile zaman serisi tahmini (Time series classification with deep learning methods) PhD Theses 2019 (1); by Hakan Gunduz
2019	Emotion aware artificial intelligence for cognitive systems (Bilişsel sistemler için duygu farkındalıklı yapay zeka) PhD Theses 2019 (1); by Deger Ayata
2019	Derin öğrenme yaklaşımı kullanarak bulut ortamları için saldırı tespit hizmet tasarımı (A deep learning approach for designing a cloud intrusion detection service) PhD Theses 2019 (1); by Wisam Elmasry
2019	Makine öğrenmesi ile Türk müziğinde duygu analizi (Emotion analysis in Turkish music with machine learning) PhD Theses 2019 (1); by Mehmet Bilal Er
2019	Makine Öğrenmesi tabanlı yazılım maliyet tahmini yöntemlerinin karşılaştırmalı analizi (A comparive analysis of machine learning based software cost estimation methods) PhD Theses 2019 (1); by Muaz Gultekin
2019	Büyük veride derin öğrenme algoritmaları kullanılarak metin analizinin gerçekleştirilmesi (Application of text analysis processing using deep learning algorithms in big data) PhD Theses 2019 (1); by Murat Aydogan
2019	Derin öğrenme yaklaşımları ile çoklu-kriterli öneri sistemlerinin problemlerini çözmek (Deep learning-based approaches to handle challenges of multi-criteria recommender systems) PhD Theses 2019 (1); by Zeynep Batmaz
2019	A new approach for ensemble based demand forecasting using machine learning methodologies in bigdata environment PhD Theses 2019 (1); by Ahmet Okay Akyüz
2019	Traffic aware, utility and machine learning based framework for energy efficiency in software defined networks (Yazılım tanımlı ağlarda enerji verimliliği için trafik farkında, kullanım ve makine öğrenmesi tabanlı sistem) PhD Theses 2019 (1); by Beakal Gizachew Assefa
2019	Deep learning architectures for collective activity recognition (Kolektif aktivite tanıma için derin öğrenme yapıları) PhD Theses 2019 (1); by Cemil Zalluhoglu
2019	Text-based machine learning methodologies for modelling drug-target interactions (Protein-ilaç etkileşimlerinin metin tabanlı makine öğrenmesi yöntemleri ile modellenmesi) PhD Theses 2019 (1); by Hakime Öztürk
2019	Sentiment analysis in Iraqi Arabic dialects based on distributed representations of sentences and machine learning approach (Cümlelerin dağıtılmış temsilleri ve makine öğrenmesi yaklaşımına dayalı Irak lehçelerinde duygu analizi) PhD Theses 2019 (1); by Anwar Alnawas
2019	Makine öğrenmesi teknikleri kullanılarak çocukluk çağı dikkat eksikliği ve hiperaktivite bozukluğunun tahmin edilmesine yönelik uzman sistem tasarımı (Expert system design for the prediction of attention deficit and hyperactivity disorder in childhood using machine learning techniques) PhD Theses 2019 (1); by Hanife Göker
2019	Karotis arter intima media kalınlığının derin öğrenme ile sınıflandırılması (Classification of carotid artery intima media thickness with deep learning) PhD Theses 2019 (1); by Serkan Savas
2019	Enhancing deep learning models for campaign participation prediction (Kampanya katılım tahminleme için derin öğrenme modelleri geliştirilmesi) PhD Theses 2019 (1); by Demet Ayvaz
2019	Yapay zeka tekniğiyle işitme engelliler için uzaktan iletişim sistemi (An artificial intelligence based remote communication system for hearing impaired) PhD Theses 2019 (1); by Özer Çelik
2019	Yapay zekâ ve görüntü işleme teknikleri kullanarak diş röntgen görüntülerinden kronolojik yaş tayini (Chronicological age determination from dental x-ray images by using artificial intelligence and image processing techniques) PhD Theses 2019 (1); by Emre Avuçlu
2019	Konumlandırma ve haritalama algoritmalarında makine öğrenmesi ve parçacık filtrelerinin kullanılması (Localization and mapping algorithms using machine learning and particle filters) PhD Theses 2019 (1); by Halit Örenbas
2019	Türkçe ağızların tanınmasında derin öğrenme tekniğinin kullanılması (Identification of Turkish dialects using deep learning techniques) PhD Theses 2019 (1); by Gultekin Isik
2019	Derin öğrenme kullanarak ovaryum follikülerinin sınıflandırılması (Classification of ovarian follicles with deep learning) PhD Theses 2019 (1); by Özkan Inik
2019	Derin öğrenme ile karar verme süreçleri (Decision making process using deep learning) PhD Theses 2019 (1); by Olgun Aydin
2019	Machine learning for decision support in adaptive immunology PhD Theses 2019 (1); by Nicolas De Neuter
2019	Enhancing data privacy and security related process through machine learning PhD Theses 2019 (1); by Md. Zulfikar Alom
2019	Deep learning for medical image analysis PhD Theses 2019 (1); by Gianmarco Santini
2019	Artificial intelligence applied to the study of conscious perceptive states PhD Theses 2019 (1); by Marialessia Musumeci
2019	Deep Learning for Image Classification and Retrieval: Analysis and Solutions to Current Limitations PhD Theses 2019 (1); by Fabio Carrara
2019	Machine Learning and other Computational-Intelligence Techniques for Security Applications PhD Theses 2019 (1); by Andrea Marcelli
2019	Machine learning based analysis and computer aided classification of neuropsychiatric disorders using neuroimaging PhD Theses 2019 (1); by Tewodros Mulugeta Dagnew

Software Engineering / Martin Fowler (FREE)

2019	Continuous Delivery for Machine Learning Martin Fowler (FREE) 2019; by Danilo Sato, Arif Wider, Christoph Windheuser Machine Learning applications are becoming popular in our industry, however the process for developing, deploying, and continuously improving them is more…

Software Engineering / SE Radio Podcasts (FREE)

2019	Episode 391: Jeremy Howard on Deep Learning and fast.ai SE Radio Podcasts (FREE) 2019 Jeremy Howard from fast.ai explains deep learning from concept to implementation.
2019	Episode 391: Jeremy Howard on Deep Learning and fast.ai SE Radio Podcasts (FREE) 2019 Jeremy Howard from fast.ai explains deep learning from concept to implementation.

Software Engineering / GOTO Conference Videos (FREE)

2019	Practical Geometric Deep Learning in Python GOTO Conference Videos (FREE) 2019; by Pantelis Elinas
2019	AI, ML & Data Science - What's the Difference? GOTO Conference Videos (FREE) 2019; by Phil Winder, Feynman Liang
2019	General Artificial Intelligence GOTO Conference Videos (FREE) 2019; by Danny Lange, Doug Lenat
2019	Machine Ethics, Artificial Intelligence & Humanity GOTO Conference Videos (FREE) 2019; by Nell Watson, Priyanka Vergadia
2019	Responsible AI for Engineers GOTO Conference Videos (FREE) 2019; by Ron Bodkin
2019	Conversational AI Demystified GOTO Conference Videos (FREE) 2019; by Priyanka Vergadia
2019	Taking Machine Learning from Research to Production GOTO Conference Videos (FREE) 2019; by Robert Crowe
2019	The Future of Machine Learning & JavaScript GOTO Conference Videos (FREE) 2019; by Asim Hussain
2019	Breaking Language Barriers with AI GOTO Conference Videos (FREE) 2019; by Boaz Ziniman
2019	Responsible AI for Business Leaders GOTO Conference Videos (FREE) 2019; by Ron Bodkin
2019	Why Aren't You A Data-Driven AI Company Yet? GOTO Conference Videos (FREE) 2019; by Jan Bosch
2019	Composing Bach Chorales Using Deep Learning GOTO Conference Videos (FREE) 2019; by Feynman Liang
2019	Breaking Black-box AI GOTO Conference Videos (FREE) 2019; by Evelina Gabasova
2019	The Promise and Limitations of AI GOTO Conference Videos (FREE) 2019; by Doug Lenat
2019	Conversation AI, the new User Experience GOTO Conference Videos (FREE) 2019; by Priyanka Vergadia
2019	Accelerating Machine Learning DevOps with Kubeflow GOTO Conference Videos (FREE) 2019; by Derek Ferguson
2019	From Tic Tac Toe to AlphaGo: Playing Games with AI GOTO Conference Videos (FREE) 2019; by Roy van Rijn
2019	Using Kubernetes for Machine Learning Frameworks GOTO Conference Videos (FREE) 2019; by Arun Gupta
2019	Code + AI: Will Robots Take Our Coding Jobs? ML Applied to Programming GOTO Conference Videos (FREE) 2019; by Stephen Magill

2018 (334)

Computing (general) / IEEE Computer

2018	AI and Blockchain: A Disruptive Integration IEEE Computer 2018 (9); by Thang N. Dinh, My T. Thai
2018	Toward Anthropomorphic Machine Learning IEEE Computer 2018 (9); by Plamen P. Angelov, Xiaowei Gu
2018	The Expanding Frontier of Artificial Intelligence IEEE Computer 2018 (9); by Sumi Helal
2018	Toward Human-Understandable, Explainable AI IEEE Computer 2018 (9); by Hani Hagras
2018	Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis IEEE Computer 2018 (7); by Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
2018	Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning IEEE Computer 2018 (5); by Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Hamid R. Rabiee, Hamed Haddadi
2018	Deep Learning for the Internet of Things IEEE Computer 2018 (5); by Shuochao Yao, Yiran Zhao, Aston Zhang, Shaohan Hu, Huajie Shao, Chao Zhang, Lu Su, Tarek F. Abdelzaher
2018	Deep Learning for Human Activity Recognition in Mobile Computing IEEE Computer 2018 (5); by Thomas Plötz, Yu Guan
2018	Exploiting Typical Values to Accelerate Deep Learning IEEE Computer 2018 (5); by Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
2018	A Future with Quantum Machine Learning IEEE Computer 2018 (2); by Erik P. DeBenedictis

Enterprise Computing / IEEE IT Professional

2018	The Internet of Things, Artificial Intelligence, Blockchain, and Professionalism IEEE IT Professional 2018 (6); by Jeff Daniels, Saman Sargolzaei, Arman Sargolzaei, Tareq Z. Ahram, Phillip A. Laplante, Ben Amaba
2018	Improving Energy Consumption of a Commercial Building with IoT and Machine Learning IEEE IT Professional 2018 (5); by Abbas Javed, Hadi Larijani, Andrew Wixted
2018	Artificial Intelligence and IT Professionals IEEE IT Professional 2018 (5); by Sunil Mithas, Thomas Kude, Jonathan Whitaker

UX & Human Factors / ACM interactions

2018	Humans wanted!: our many roles in designing for innovation, IoT, and AI ACM interactions 2018 (6); by Simone D. J. Barbosa, Gilbert Cockton
2018	Design and fiction: imagining civic AI ACM interactions 2018 (6); by Jason Shun Wong
2018	Cybernetics and the design of the user experience of AI systems ACM interactions 2018 (6); by Nikolas Martelaro, Wendy Ju
2018	From machine learning to machine teaching: the importance of UX ACM interactions 2018 (6); by Martin Lindvall, Jesper Molin, Jonas Löwgren
2018	Prototyping ways of prototyping AI ACM interactions 2018 (6); by Philip van Allen
2018	How to avoid an AI interaction singularity ACM interactions 2018 (5); by Paul Lukowicz, Philipp Slusallek

Computing (specialised) / IEEE Security & Privacy

2018	Data Science Data Governance [AI Ethics] IEEE Security & Privacy 2018 (6); by Joshua A. Kroll
2018	Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation IEEE Security & Privacy 2018 (3); by Bernd Carsten Stahl, David Wright
2018	AI and the Ethics of Automating Consent IEEE Security & Privacy 2018 (3); by Meg Leta Jones, Ellen Kaufman, Elizabeth Edenberg
2018	Proactively Protecting Against the Singularity: Ethical Decision Making in AI IEEE Security & Privacy 2018 (3); by Dawn E. Schrader, Dipayan P. Ghosh
2018	Artificial Intelligence and the Attack/Defense Balance IEEE Security & Privacy 2018 (2); by Bruce Schneier

Computing (specialised) / IEEE Intelligent Systems

2018	AI and Fake News IEEE Intelligent Systems 2018 (5); by Anne K. Cybenko, George Cybenko
2018	From Raw Data to Smart Manufacturing: AI and Semantic Web of Things for Industry 4.0 IEEE Intelligent Systems 2018 (4); by Pankesh Patel, Muhammad Intizar Ali, Amit P. Sheth
2018	Artificial Intelligence, Rationality, and the World Wide Web IEEE Intelligent Systems 2018 (1); by Justin Murphy

Computing (general) / ACM Computing Surveys

2018	A Survey of Machine Learning for Big Code and Naturalness ACM Computing Surveys 2018 (4); by Miltiadis Allamanis, Earl T. Barr, Premkumar T. Devanbu, Charles Sutton
2018	Deep Learning for Biometrics: A Survey ACM Computing Surveys 2018 (3); by Kalaivani Sundararajan, Damon L. Woodard

UX & Human Factors / IEEE Multimedia

2018	A Budding Romance: Finance and AI IEEE Multimedia 2018 (4); by Xiao-Ping Steven Zhang, David Kedmey

UX & Human Factors / IEEE Computer Graphics & Applications

2018	Visual Analytics for Explainable Deep Learning IEEE Computer Graphics & Applications 2018 (4); by Jaegul Choo, Shixia Liu
2018	Application of Machine Learning to Computer Graphics IEEE Computer Graphics & Applications 2018 (4); by Amit Agrawal

Hardware and Microprocessor Systems / IEEE Micro

2018	SiMul: An Algorithm-Driven Approximate Multiplier Design for Machine Learning IEEE Micro 2018 (4); by Zhenhong Liu, Amir Yazdanbakhsh, Taejoon Park, Hadi Esmaeilzadeh, Nam Sung Kim

Computing (general) / Communications of the ACM

2018	Toward an equation that anticipates AI risks Communications of the ACM 2018 (2)
2018	A century-long commitment to assessing artificial intelligence and its impact on society Communications of the ACM 2018 (12); by Barbara J. Grosz, Peter Stone
2018	Learning machine learning Communications of the ACM 2018 (12); by Ted G. Lewis, Peter J. Denning
2018	Point: Should AI technology be regulated?: yes, and here's how Communications of the ACM 2018 (12); by Oren Etzioni
2018	Counterpoint: Regulators should allow the greatest space for AI innovation Communications of the ACM 2018 (12); by Andrea O'Sullivan, Adam Thierer
2018	AI judges and juries Communications of the ACM 2018 (12); by Logan Kugler
2018	The future of artificial intelligence in China Communications of the ACM 2018 (11); by Jun Zhu, Tiejun Huang, Wenguang Chen, Wen Gao
2018	Will supercomputers be super-data and super-AI machines? Communications of the ACM 2018 (11); by Yutong Lu, Depei Qian, Haohuan Fu, Wenguang Chen
2018	Fintech: AI powers financial services to improve people's lives Communications of the ACM 2018 (11); by Yuan Qi, Jing Xiao
2018	How machine learning impacts the undergraduate computing curriculum Communications of the ACM 2018 (11); by R. Benjamin Shapiro, Rebecca Fiebrink, Peter Norvig
2018	AI, explain yourself Communications of the ACM 2018 (11); by Don Monroe
2018	Can we use AI for global good? Communications of the ACM 2018 (10); by Amir Banifatemi
2018	When machine learning is facially invalid Communications of the ACM 2018 (9); by Frank Pasquale
2018	AI holds the better hand Communications of the ACM 2018 (9); by Don Monroe
2018	Making machine learning robust against adversarial inputs Communications of the ACM 2018 (7); by Ian J. Goodfellow, Patrick D. McDaniel, Nicolas Papernot
2018	Teach the law (and the AI) 'foreseeability' Communications of the ACM 2018 (7); by CACM Staff
2018	Deep learning hunts for signals among the noise Communications of the ACM 2018 (6); by Chris Edwards
2018	Technical perspective: Breaking the mold of machine learning Communications of the ACM 2018 (5); by Oren Etzioni
2018	Chips for artificial intelligence Communications of the ACM 2018 (4); by Don Monroe
2018	Teaching artificial intelligence and humanity Communications of the ACM 2018 (2); by Jennifer Keating, Illah R. Nourbakhsh

Computing (general) / PhD Theses

2018	Second-Order Optimization Methods for Machine Learning PhD Theses 2018 (1); by Naman Agarwal
2018	Deep learning for noise-tolerant RDFS reasoning PhD Theses 2018 (1); by Bassem Makni
2018	Molecular machine learning with DeepChem PhD Theses 2018 (1); by Bharath Ramsundar
2018	Spinal Cord Imaging in Multiple Sclerosis Patients: Applications of Machine Learning and Computer Vision Methods PhD Theses 2018 (1); by Esha Datta
2018	Performance and Power Prediction of Compute Accelerators Using Machine Learning PhD Theses 2018 (1); by Kenneth O'Neal
2018	Building and Accelerating a Declarative Platform for Machine Learning Model Serving PhD Theses 2018 (1); by Yao Lu
2018	Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors PhD Theses 2018 (1); by Farnaz Abtahi
2018	Structural Health Monitoring Framework using Acceleration Data and Machine Learning Techniques PhD Theses 2018 (1); by Sifat Sharmeen Muin
2018	Interdisciplinary Studies of Complex Network and Machine Learning and Its Applications PhD Theses 2018 (1); by Shaojun Luo
2018	Computational Methods for Matrix/Tensor Factorization and Deep Learning Image Denoising PhD Theses 2018 (1); by Joon Hee Choi
2018	The Holy Trinity: Blending Statistics, Machine Learning and Discrete Choice, with Applications to Strategic Bicycle Planning PhD Theses 2018 (1); by Timothy Brathwaite
2018	Deep learning for the internet of things PhD Theses 2018 (1); by Shuochao Yao
2018	Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond PhD Theses 2018 (1); by Felix Juefei-Xu
2018	Brains in the Wild: Machine learning for naturalistic, long-term neural and video recordings PhD Theses 2018 (1); by Nancy Xin Ru Wang
2018	High-dimensional machine learning for drug target discovery and precision medicine PhD Theses 2018 (1); by Safiye Celik
2018	Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning PhD Theses 2018 (1); by Amit Das
2018	Optimization and machine learning methods for Computational Protein Docking PhD Theses 2018 (1); by Shahrooz Zarbafian
2018	Neural Encoding and Decoding with Deep Learning for Natural Vision PhD Theses 2018 (1); by Haiguang Wen
2018	Model-Agnostic Explanations and Evaluation of Machine Learning PhD Theses 2018 (1); by Marco Túlio Ribeiro
2018	Human-centric machine learning: enabling machine learning for high-stakes decision-making PhD Theses 2018 (1); by Himabindu Lakkaraju
2018	Design and Optimization of Hardware Accelerators for Deep Learning PhD Theses 2018 (1); by Ali Shafiee Ardestani
2018	Studies on Imaging System and Machine Learning: 3D Halftoning and Human Facial Landmark Localization PhD Theses 2018 (1); by Ruiyi Mao
2018	Improving Machine Learning Beyond the Algorithm PhD Theses 2018 (1); by Tobias Schnabel
2018	Deep learning for image restoration and enhancement PhD Theses 2018 (1); by Ding Liu
2018	Interactive Machine Learning with Applications in Health Informatics PhD Theses 2018 (1); by Yue Wang
2018	Accelerating Approximate Simulation with Deep Learning PhD Theses 2018 (1); by Kristofer Schlachter
2018	Deep Learning for Information Extraction PhD Theses 2018 (1); by Thien Huu Nguyen
2018	Designing energy-efficient computing systems using equalization and machine learning PhD Theses 2018 (1); by Zafar Takhirov
2018	Provable and Practical Algorithms for Non-Convex Problems in Machine Learning PhD Theses 2018 (1); by Yang Yuan
2018	Using generative deep learning to create high-quality models from 3D scans PhD Theses 2018 (1); by Angela Dai
2018	Privacy-Preserving Machine Learning via Data Compression & Differential Privacy PhD Theses 2018 (1); by Thee Chanyaswad
2018	Fouille de motifs et modélisation statistique pour l'extraction de connaissances textuelles. (Pattern mining and machine learning for extracting textual information) PhD Theses 2018 (1); by Pierre Holat
2018	Fully Homomorphic Encryption for Machine Learning. (Chiffrement Totalement Homomorphe pour l'Apprentissage Automatique) PhD Theses 2018 (1); by Michele Minelli
2018	Study on training methods and generalization performance of deep learning for image classification. (Étude de l'apprentissage et de la généralisation des réseaux profonds en classification d'images) PhD Theses 2018 (1); by Michaël Blot
2018	Commentaire textuel des fragments d'Epicharme. (Commento testuale ai frammenti di Epicarmo) PhD Theses 2018 (1); by Sara Tosetti
2018	Traitement d'images à haute résolution grâce à des techniques d'apprentissage en profondeur. (Processing high-resolution images through deep learning techniques) PhD Theses 2018 (1); by Praveer Singh
2018	Intelligence artificielle et prévision de l'impact de l'activité solaire sur l'environnement magnétique terrestre. (Artificial Intelligence and prediction of the impact of solar activity on the Earth magnetic environment) PhD Theses 2018 (1); by Marina Gruet
2018	Prédiction par Deep Learning de la réponse complète après radiochimiothérapie pré-opératoire du cancer du rectum localement avancé. (Deep learning to predict pathologic complete response to neoadjuvant chemoradiation in locally-advanced rectal cancer) PhD Theses 2018 (1); by Jean-Emmanuel Bibault
2018	Apprentissage automatique de caractéristiques audio: application à la génération de listes de lecture thématiques. (Machine learning algorithms applied to audio features analysis: application in the automatic generation of thematic musical playlists) PhD Theses 2018 (1); by Yann Bayle
2018	On convolution of graph signals and deep learning on graph domains. (Convolution et apprentissage profond sur graphes) PhD Theses 2018 (1); by Jean-Charles Vialatte
2018	Asynchronous Optimization for Machine Learning. (Optimisation asynchrone pour l'apprentissage statistique) PhD Theses 2018 (1); by Rémi Leblond
2018	Machine learning improvements for robotic applications in industrial context: Case study of autonomous sorting. (Méthodes d'apprentissage automatique pour des applications robotiques dans un contexte industriel : étude de cas du tri robotisé) PhD Theses 2018 (1); by Joris Guérin
2018	Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back. (L'apprentissage profond sur graphes attribués: Un voyage aller-retour aux plongements des graphes) PhD Theses 2018 (1); by Martin Simonovsky
2018	Person re-identification in images with deep learning. (Ré-identification de personnes dans des images par apprentissage automatique) PhD Theses 2018 (1); by Yiqiang Chen
2018	Subpopulation treatment effect Modeling: machine learning approaches to model treatment effect heterogeneity. (Approches d'apprentissage automatique pour la modélisation des effets d'un traitement sur une sous-population) PhD Theses 2018 (1); by Atef Shaar
2018	Applications of artificial intelligence in e-commerce and finance. (Applications de l'intelligence artifcielle dans le commerce électronique et la finance) PhD Theses 2018 (1); by Yang Jiao
2018	Imprecision in machine learning problems. (Imprécision en apprentissage statistique) PhD Theses 2018 (1); by Vu-Linh Nguyen
2018	Adaptive Personalization of Pedagogical Sequences using Machine Learning. (Personnalisation adaptative de Séquences Pédagogiques à l'aide d'Apprentissage Automatique) PhD Theses 2018 (1); by Benjamin Clément
2018	Perceptual representations of structural and geometric information in images: bio-inspired and machine learning approaches Application to visual quality assessment of immersive media. (Représentations perceptuelles de l'information structurelle et géométrique des images : approches bio inspirées et par apprentissage machine) PhD Theses 2018 (1); by Suiyi Ling
2018	Adaptive machine learning methods for event related potential-based brain computer interfaces. (Méthodes adaptatives d'apprentissage pour des interfaces cerveau-ordinateur basées sur les potentiels évoqués) PhD Theses 2018 (1); by Nathalie Thérèse Hélène Gayraud
2018	Deep learning for medical image super resolution and segmentation. (Apprentisage profond pour la super-résolution et la segmentation d'images médicales) PhD Theses 2018 (1); by Chi-Hieu Pham
2018	Reconnaissance d'états émotionnels par analyse visuelle du visage et apprentissage machine. (Recognition of emotional states by visual facial analysis and machine learning) PhD Theses 2018 (1); by Khadija Lekdioui
2018	Some contributions to deep learning for metagenomics. (Quelques contributions à l'apprentissage en profondeur pour la métagénomique) PhD Theses 2018 (1); by Thanh Hai Nguyen
2018	Deep Learning based Vehicular Mobility Models for Intelligent Transportation Systems. (Modèles de Mobilité de Véhicules par Apprentissage Profond dans les Systèmes de Tranport Intelligents) PhD Theses 2018 (1); by Jian Zhang
2018	Machine learning using approximate inference: Variational and sequential Monte Carlo methods PhD Theses 2018 (1); by Christian Andersson Naesseth
2018	Non-invasive gesture sensing, physical modeling, machine learning and acoustic actuation for pitched percussion PhD Theses 2018 (1); by Shawn Trail
2018	Machine Learning Algorithms for the Analysis of Social Media and Detection of Malicious User Generated Content PhD Theses 2018 (1); by Brian Heredia
2018	Principled approaches to robust machine learning and beyond PhD Theses 2018 (1); by Jerry Zheng Li
2018	Enhancement in Low-Dose Computed Tomography through Image Denoising Techniques: Wavelets and Deep Learning PhD Theses 2018 (1); by Sadegh Mohammadi
2018	Energy-efficient smart embedded memory design for IoT and AI PhD Theses 2018 (1); by Avishek Biswas
2018	Faster linear algebra for data analysis and machine learning PhD Theses 2018 (1); by Christopher Musco
2018	On internal language representations in deep learning: an analysis of machine translation and speech recognition PhD Theses 2018 (1); by Yonatan Belinkov
2018	Addressing two issues in machine learning: interpretability and dataset shift PhD Theses 2018 (1); by Fulton Wang
2018	Using machine learning to derive insights from sports location data PhD Theses 2018 (1); by Joel David Brooks
2018	Machine Learning Algorithms with Big Medicare Fraud Data PhD Theses 2018 (1); by Richard A. Bauder
2018	Deep learning and structured data PhD Theses 2018 (1); by Chiyuan Zhang
2018	Machine Learning Methods to Understand Textual Data PhD Theses 2018 (1); by Sahar Sohangir
2018	Opportunistic machine learning methods for effective insider threat detection PhD Theses 2018 (1); by Diana Haidar
2018	Multiple and deep learning networks for dense stereo correspondence in computer vision PhD Theses 2018 (1); by Miao Wang
2018	Machine learning approaches and web-based system to the application of disease modifying therapy for sickle cell PhD Theses 2018 (1); by Mohammed Khalaf
2018	Machine learning methods for face modelling and analysis in-the-wild PhD Theses 2018 (1); by Jean Kossaifi
2018	Human fall detection methodologies: from machine learning using acted data to fall modelling using myoskeletal simulation PhD Theses 2018 (1); by Georgios Mastorakis
2018	Probabilistic machine learning for circular statistics: models and inference using the multivariate Generalised von Mises distribution PhD Theses 2018 (1); by Alexandre K. W. Navarro
2018	Adaptive serious educational games using machine learning PhD Theses 2018 (1); by Harits Ar Rosyid
2018	Hardware architectures for machine learning training PhD Theses 2018 (1); by Shengjia Shao
2018	An investigation into context-aware automated service in smart home facilities: search engine and machine learning with smartphone PhD Theses 2018 (1); by Omar Ghabar
2018	Moth-flame glowworm swarm optimisation and applications in cloud computing and machine learning PhD Theses 2018 (1); by Dabiah Ahmed Alboaneen
2018	Deep learning applications for transition-based dependency parsing PhD Theses 2018 (1); by Mohab Elkaref
2018	Looking deep at people: towards understanding and generating humans in images with deep learning PhD Theses 2018 (1); by Rodrigo Andrade de Bem
2018	Visual simultaneous localization and mapping: from geometry to deep learning PhD Theses 2018 (1); by Ruihao Li
2018	Deep learning with synthetic, temporal, and adversarial supervision PhD Theses 2018 (1); by Ankush Gupta
2018	Using machine learning to select and optimise multiple objectives in media compression PhD Theses 2018 (1); by Oleksandr Murashko
2018	Deep learning for facial emotion recognition PhD Theses 2018 (1); by Ariel Ruiz-Garcia
2018	Development of machine learning techniques for characterising changes in time-lapse resistivity monitoring PhD Theses 2018 (1); by Wil O. C. Ward
2018	Object detection, recognition and classification using computer vision and artificial intelligence approaches PhD Theses 2018 (1); by Gharib Ismail Al Matroushi
2018	A blackboard based hybrid multi-agent approach for machine learning using reinforcement learning techniques PhD Theses 2018 (1); by Vasileios Manousakis Kokorakis
2018	Exploiting domain knowledge to enhance opinion mining using a hybrid semantic knowledgebase-machine learning approach PhD Theses 2018 (1); by Rowida Alfrjani
2018	An investigation of deep learning for image processing applications PhD Theses 2018 (1); by Xianxu Hou
2018	SLAM and deep learning for 3D indoor scene understanding PhD Theses 2018 (1); by Brendan John McCormac
2018	Artificial intelligence system for continuous affect estimation from naturalistic human expressions PhD Theses 2018 (1); by Yona Falinie Abdul Gaus
2018	Deep learning based approaches for imitation learning PhD Theses 2018 (1); by Ahmed Hussein
2018	Reducing the cost of heuristic generation with machine learning PhD Theses 2018 (1); by William F. Ogilvie
2018	Heuristics for AI planning in hybrid systems PhD Theses 2018 (1); by Wiktor Mateusz Piotrowski
2018	Visual speech synthesis using dynamic visemes and deep learning architectures PhD Theses 2018 (1); by Ausdang Thangthai
2018	A hybrid multibiometric system for personal identification based on face and iris traits : the development of an automated computer system for the identification of humans by integrating facial and iris features using localization, feature extraction, handcrafted and deep learning techniques PhD Theses 2018 (1); by Alaa Nassar
2018	Machine learning for understanding complex, interlinked social data PhD Theses 2018 (1); by Claire Little
2018	Visual attention mechanism in deep learning and its applications PhD Theses 2018 (1); by Shiyang Yan
2018	Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management PhD Theses 2018 (1); by Patrick McAllister
2018	Algorithms for noisy and nonstationary data: advances in financial time series forecasting and pattern detection with machine learning PhD Theses 2018 (1); by Blaz Zlicar
2018	Detection and recognition of traffic scene objects with deep learning PhD Theses 2018 (1); by Rongqiang Qian
2018	Sparse machine learning methods for autonomous decision making PhD Theses 2018 (1); by Danil Kuzin
2018	Exploiting diversity for efficient machine learning PhD Theses 2018 (1); by Krzysztof J. Geras
2018	Machine learning methods for detecting structure in metabolic flow networks PhD Theses 2018 (1); by Maxwell Jay
2018	Hybrid automated machine learning system for Big Data PhD Theses 2018 (1); by Saif Hussein
2018	Detection of suspicious URLs in online social networks using supervised machine learning algorithms PhD Theses 2018 (1); by Mohammed Fadhil Zamil Al-Janabi
2018	Machine learning approaches for event web data extraction PhD Theses 2018 (1); by Julia Wiedmann
2018	Improving the generalisability of brain computer interface applications via machine learning and search-based heuristics PhD Theses 2018 (1); by Jason Adair
2018	Machine learning architectures for video annotation and retrieval PhD Theses 2018 (1); by Foteini Markatopoulou
2018	Machine learning for analysing whole-body scans PhD Theses 2018 (1); by Vanya V. Valindria
2018	Dynamic deep learning for automatic facial expression recognition and its application in diagnosis of ADHD & ASD PhD Theses 2018 (1); by Shashank Jaiswal
2018	Machine learning in medical image analysis PhD Theses 2018 (1); by Liang Chen
2018	Probabilistic machine learning: methods and applications to continuous control PhD Theses 2018 (1); by Leonard Hasenclever
2018	Machine learning algorithms for crime prevention and predictive policing PhD Theses 2018 (1); by Isabelle Williams
2018	Computer vision and machine learning for in-play tennis analysis: framework, algorithms and implementation PhD Theses 2018 (1); by Silvia Vinyes Mora
2018	Enhancing the human sensemaking process with the use of social network analysis and machine learning techniques PhD Theses 2018 (1); by Alaa Marshan
2018	Machine learning techniques for holistic computational paralinguistics PhD Theses 2018 (1); by Yue Zhang
2018	Markerless facial motion capture: deep learning approaches on RGBD data PhD Theses 2018 (1); by Connah Kendrick
2018	Deep Generative Models for Semi-Supervised Machine Learning PhD Theses 2018 (1); by Lars Maaløe
2018	High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning PhD Theses 2018 (1); by Mohamad Dia
2018	Bordersearch: Efficient Characterization of Automotive Electronic Systems Through Machine Learning PhD Theses 2018 (1); by Markus Dobler
2018	Transparency in Interactive Feature-based Machine Learning: Challenges and Solutions PhD Theses 2018 (1); by Florian Stoffel
2018	Cooperative and transparent machine learning for the context-sensitive analysis of social interactions PhD Theses 2018 (1); by Tobias Baur
2018	Recommending Tags for Images: Deep Learning Approaches for Personalized Tag Recommendation PhD Theses 2018 (1); by Thi Hong Hanh Nguyen
2018	Non-Intrusive Load Monitoring (NILM): combining multiple distinct electrical features and unsupervised machine learning techniques PhD Theses 2018 (1); by Timo Bernard
2018	Algorithms for scalable on-line machine learning on regression tasks PhD Theses 2018 (1); by Jan H. Schoenke
2018	Universal Machine Learning Methods for Detecting and Temporal Anchoring of Events PhD Theses 2018 (1); by Nils Fabian Reimers
2018	Automated Machine Learning - Bayesian Optimization, Meta-Learning & Applications PhD Theses 2018 (1); by Martin Wistuba
2018	Machine learning using radiomics and dosiomics for normal tissue complication probability modeling of radiation-induced xerostomia PhD Theses 2018 (1); by Hubert Gabrys
2018	Methods for efficient resource utilization in statistical machine learning algorithms PhD Theses 2018 (1); by Helena Kotthaus
2018	Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum data PhD Theses 2018 (1); by Philipp Bergmeir
2018	Big data machine learning for flight planning PhD Theses 2018 (1); by Ralf René Shu-Zhong Cabos
2018	Benchmarking dataflow systems for scalable machine learning PhD Theses 2018 (1); by Christoph Boden
2018	Context- and Physiology-aware Machine Learning for Upper-Limb Myocontrol PhD Theses 2018 (1); by Gauravkumar Patel
2018	Deep learning methods for knowledge base population PhD Theses 2018 (1); by Heike Adel
2018	Data exploration in natural sciences using machine learning and scientific visualization PhD Theses 2018 (1); by Aaron Scherzinger
2018	Deep learning of virtual marine sensors PhD Theses 2018 (1); by Stefan Oehmcke
2018	Efficient deep learning methods for human pose estimation PhD Theses 2018 (1); by Umer Rafi
2018	Machine learning on encrypted data PhD Theses 2018 (1); by Angela Wiesberg
2018	A machine learning approach to taking EEG-based brain-computer interfaces out of the lab PhD Theses 2018 (1); by Vinay Jayaram
2018	Predicting functional sites in proteins using intelligent machine learning and data mining techniques PhD Theses 2018 (1); by Jiangning Song
2018	Three Dimensional Structure Refinement using Geometry and Machine Learning based Techniques for Robotics PhD Theses 2018 (1); by Thanuja Dharmasiri
2018	Large-scale machine learning algorithms for big data PhD Theses 2018 (1); by Yan Yan
2018	Non-IID recommender systems: a machine learning approach PhD Theses 2018 (1); by Liang Hu
2018	Efficient Movement Representation and Prediction with Machine Learning (Effiziente Darstellung und Vorhersage von Bewegungsabläufen durch Maschinelles Lernen) PhD Theses 2018 (1); by Nutan Chen
2018	Machine Learning Methods for Detecting Rare Events in Temporal Data (Maschinelles Lernen zur Entdeckung seltener Ereignisse in temporalen Daten) PhD Theses 2018 (1); by Nikou Günnemann
2018	Facial analysis with depth maps and deep learning PhD Theses 2018 (1); by Paulo Brito
2018	Sleep Stage Classification: A Deep Learning Approach PhD Theses 2018 (1); by Ali Abdollahi Gharbali
2018	Machine Learning : Of, By, and For Social Dynamics (כותר נוסף בעברית: מערכות למודות : של, על, ועבור דינמיקה חברתית) PhD Theses 2018 (1); by Nir Rosenfeld
2018	Machine learning-based approaches for large-scale temporal data analytics PhD Theses 2018 (1); by Ali Zonoozi
2018	Deep learning neural network approaches for one-dimensional structure prediction from protein sequences PhD Theses 2018 (1); by Shamima Banu Syed Mohamed Rashid
2018	Advanced attack and defense techniques in machine learning systems PhD Theses 2018 (1); by Mengchen Zhao
2018	Interpretable machine learning approaches to high-dimensional data and their applications to biomedical engineering problems PhD Theses 2018 (1); by Kosuke Yoshida
2018	Artificial intelligence methods for the management of electric vehicles in the smart grid PhD Theses 2018 (1); by Emmanouil Rigas
2018	Deep learning methods for data analysis PhD Theses 2018 (1); by Nikolaos Passalis
2018	Machine learning methods on large scale data with application in network analysis in molecular biology and neuroscience, Μέθοδοι μηχανικής εκμάθησης από δεδομένα μεγάλης κλίμακας με εφαρμογή στην ανάλυση δικτύων της μοριακής βιολογίας και των νευροεπιστημών PhD Theses 2018 (1); by Georgios N. Dimitrakopoulos
2018	Privacy-Preserving Algorithms for Machine Learning PhD Theses 2018 (1); by Shuang Song
2018	Interpretable Machine Learning with Applications in Neuroscience PhD Theses 2018 (1); by Reza Abbasi-Asl
2018	Machine Learning-Based Bug Handling in Large-Scale Software Development PhD Theses 2018 (1); by Leif Jonsson
2018	Improving and Securing Machine Learning Systems PhD Theses 2018 (1); by Bolun Wang
2018	Learning Clinical Data Representations for Machine Learning PhD Theses 2018 (1); by Lina M. Sulieman
2018	Privacy-preserving machine learning and data aggregation for Internet of Things PhD Theses 2018 (1); by Lingjuan Lyu
2018	Machine Learning Methods for Interactive Search Interfaces and Cognitive Models ; Koneoppimismenetelmiä interaktiivisia hakukäyttöliittymiä ja kognitiivisia malleja varten PhD Theses 2018 (1); by Antti Kangasrääsiö
2018	Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis PhD Theses 2018 (1); by Shiwen Shen
2018	Statistical and machine learning methods to analyze large-scale mass spectrometry data PhD Theses 2018 (1); by Matthew The
2018	Illumination Invariant Deep Learning for Hyperspectral Data PhD Theses 2018 (1); by Lloyd Windrim
2018	Machine Learning for Exploring State Space Structure in Genetic Regulatory Networks PhD Theses 2018 (1); by Rodney H. Thomas
2018	Machine Learning and System Identification for Estimation in Physical Systems PhD Theses 2018 (1); by Fredrik Bagge Carlson
2018	Stock Trend Prediction: Based on Machine Learning Methods PhD Theses 2018 (1); by Yuan Song
2018	Maximising runway capacity by mid-term prediction of runway configuration and aircraft sequencing using machine learning PhD Theses 2018 (1); by Md Shohel Ahmed
2018	Wireless Sensor Network Clustering with Machine Learning PhD Theses 2018 (1); by Larry Townsend
2018	Succinct and Assured Machine Learning: Training and Execution PhD Theses 2018 (1); by Bita Darvish Rouhani
2018	Evaluation of Machine Learning Techniques for Early Identification of At-Risk Students PhD Theses 2018 (1); by Mansour Awaji
2018	Machine learning with adversarial perturbations and noisy labels PhD Theses 2018 (1); by Xingjun Ma
2018	Graph Signal Processing Meets Machine Learning PhD Theses 2018 (1); by Arun Venkitaraman
2018	Exploratory model analysis for machine learning PhD Theses 2018 (1); by Biye Jiang
2018	Metadata-driven computational (meta)genomics. A practical machine learning approach PhD Theses 2018 (1); by Madis Rumming
2018	Machine Learning of Facial Attributes Using Explainable, Secure and Generative Adversarial Networks PhD Theses 2018 (1); by Pouya Samangouei
2018	Psychometric and Machine Learning Approaches to Diagnostic Classification PhD Theses 2018 (1); by Oscar Gonzalez
2018	Doctor AI: Interpretable deep learning for modeling electronic health records PhD Theses 2018 (1); by Edward Choi
2018	Modelling the interpretation of digital mammography using high order statistics and deep machine learning PhD Theses 2018 (1); by Suneeta Mall
2018	Machine Learning based Mountainous Skyline Detection and Visual Geo-Localization PhD Theses 2018 (1); by Touqeer Ahmad
2018	Machine learning methods for biomedical relation extraction PhD Theses 2018 (1); by Nagesh Panyam Chandrasekarasastry
2018	Machine Learning Methods for Septic Shock Prediction PhD Theses 2018 (1); by Aiman Darwiche
2018	Radiomics risk modelling using machine learning algorithms for personalised radiation oncology PhD Theses 2018 (1); by Stefan Leger
2018	Multispectral image analysis in laparoscopy - A machine learning approach to live perfusion monitoring PhD Theses 2018 (1); by Sebastian J. Wirkert
2018	Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning PhD Theses 2018 (1); by Axel Ringh
2018	Scalable Measure Transportation and Applications in Machine Learning and Human Computer Interfaces PhD Theses 2018 (1); by Justin Tantiongloc
2018	DeepCADe: A Deep Learning Architecture for the Detection of Lung Nodules in CT Scans PhD Theses 2018 (1); by Rotem Golan
2018	Deep Learning Applications for Biomedical Data and Natural Language Processing PhD Theses 2018 (1); by Dennis Medved
2018	Privacy Leaks and Efficient Countermeasures for Human Genetics and Machine Learning PhD Theses 2018 (1); by Wei Xie
2018	Breast Cancer Prediction from Genome Segments with Machine Learning PhD Theses 2018 (1); by Xinhan Tong
2018	Machine Learning for Automatic Resource Management in the Datacenter and the Cloud PhD Theses 2018 (1); by Neeraja Jayant Yadwadkar
2018	Seismic Resilience-based Design and Optimization: A Deep Learning and Cyber-Physical Approach PhD Theses 2018 (1); by Jingzhe Wu
2018	A deep learning and parallel simulation methodology for air traffic management PhD Theses 2018 (1); by Young Jin Kim
2018	Detecting Objects and Actions with Deep Learning PhD Theses 2018 (1); by Bharat Singh
2018	Computational Methods in Machine Learning: transport Model, Haar wavelet, DNA Classification, and MRI PhD Theses 2018 (1); by Franck Olivier Ndjakou Njeunje
2018	Deep learning frameworks for functional and structural medical image analysis PhD Theses 2018 (1); by Yu Zhao
2018	Video Foreground localization from Traditional Methods to Deep Learning PhD Theses 2018 (1); by Akilan Thangarajah
2018	Evolutionary Machine Learning for Classification with Incomplete Data PhD Theses 2018 (1); by Cao Truong Tran
2018	New Geometric Approaches for Several Machine Learning Problems PhD Theses 2018 (1); by Yangwei Liu
2018	Fluorescence, Scattering and Refraction in Computer Vision, with a Taste of Deep Learning PhD Theses 2018 (1); by Zachary Murez
2018	On domain-adaptive machine learning PhD Theses 2018 (1); by Wouter M. Kouw
2018	Privacy-preserving Recommender Systems Facilitated By The Machine Learning Approach PhD Theses 2018 (1); by Jun Wang
2018	Energy efficient, secure and noise robust deep learning for the internet of things PhD Theses 2018 (1); by Taesik Na
2018	Disentangling and machine learning the many-fermion problem PhD Theses 2018 (1); by Peter Bröcker
2018	Large-Scale Traffic Flow Prediction Using Deep Learning in the Context of Smart Mobility PhD Theses 2018 (1); by Arief Koesdwiady
2018	Smart Structural condition Assessment Methods for Civil Infrastructures using Deep Learning Algorithm PhD Theses 2018 (1); by Heng Liu
2018	A Deep Learning, Model-Predictive Approach to Neighborhood Congestion Prediction and Control PhD Theses 2018 (1); by Sudatta Mohanty
2018	Machine learning in neonatal intensive care ; Koneoppiminen vastasyntyneiden tehohoidossa PhD Theses 2018 (1); by Olli-Pekka Rinta-Koski
2018	Feature extraction in image processing and deep learning PhD Theses 2018 (1); by Yiran Li
2018	Machine Learning for the Developing World using Mobile Communication Metadata PhD Theses 2018 (1); by Muhammad Raza Khan
2018	Machine Learning for SAT Solvers PhD Theses 2018 (1); by Jia Hui Liang
2018	Managing Multitasking in Software Development Tasks Using Visual Analytics and Machine Learning PhD Theses 2018 (1); by Zahra Shakeri Hossein Abad
2018	Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks PhD Theses 2018 (1); by Ismail A. AlQuerm
2018	Machine Learning for Systems Pharmacology PhD Theses 2018 (1); by Anna Cichonska
2018	Leveraging Machine Learning to Improve Software Reliability PhD Theses 2018 (1); by Song Wang
2018	Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data PhD Theses 2018 (1); by David Gordon
2018	Applying Machine Learning to Advance Cyber Security: Network Based Intrusion Detection Systems PhD Theses 2018 (1); by Hassan Hadi Latheeth Al-Maksousy
2018	Towards robust and domain invariant feature representations in Deep Learning PhD Theses 2018 (1); by Swaminathan Sankaranarayanan
2018	A Deep Learning Architecture For Histology Image Classification PhD Theses 2018 (1); by Chia-Yu Kao
2018	Exploiting Gaussian assumption for improving generative models in machine learning PhD Theses 2018 (1); by Wei Wang 0133
2018	Applications of machine learning algorithms using texture analysis-derived features extracted from computed tomography and magnetic resonance images PhD Theses 2018 (1); by Valeria Romeo
2018	Algorithm and Hardware Design for Efficient Deep Learning Inference PhD Theses 2018 (1); by Abinash Mohanty
2018	The Traumschreiber System: Enabling Crowd-based, Machine Learning-driven, Complex, Polysomnographic Sleep and Dream Experiments PhD Theses 2018 (1); by Kristoffer Appel
2018	Learning Latent Hierarchical Structures via Probabilistic Models and Deep Learning PhD Theses 2018 (1); by Forough Arabshahi
2018	Machine Learning Models for High-dimensional Biomedical Data PhD Theses 2018 (1); by Sangdi Lin
2018	Deep Learning in Rectified Gaussian Nets PhD Theses 2018 (1); by Shubham Gupta
2018	Cooperative Ramp Metering for Urban Motorways Based on Machine Learning ; Kooperativno upravljanje priljevnim tokovima na urbanim autocestama zasnovano na strojnom učenju PhD Theses 2018 (1); by Martin Greguric
2018	A machine learning-based security vulnerability study of XOR Arbiter PUFs for resource-constraints internet of things PhD Theses 2018 (1); by Ahmad O. Aseeri
2018	Geo-localization Refinement of Optical Satellite Images by Embedding Synthetic Aperture Radar Data in Novel Deep Learning Frameworks PhD Theses 2018 (1); by Nina Merkle
2018	Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems PhD Theses 2018 (1); by Zheni Svetoslavova Stefanova
2018	New Computational Geometry Methods for Some Fundamental Machine Learning Problems PhD Theses 2018 (1); by Xiangyu Wang
2018	Artificial Intelligence-Based Characterization and Classification Methods for Power Quality Data Analytics PhD Theses 2018 (1); by Azam Bagheri
2018	Power system stability scanning and security assessment using machine learning PhD Theses 2018 (1); by Ruidong Liu
2018	Fast optimization methods for machine learning, and game-theoretic models of cultural evolution PhD Theses 2018 (1); by Soham De
2018	Crack detection with deep learning: an exemplary study of data design in architecture ; Derin öğrenme ile çatlak tespiti: mimarlıkta veri tasarımı örnek çalışması PhD Theses 2018 (1); by Firat Ozgenel
2018	Stochastic algorithms for distributed optimization and machine learning PhD Theses 2018 (1); by Yi Zhou
2018	Large-scale Machine Learning for Point Cloud Processing PhD Theses 2018 (1); by Timo Hackel
2018	Improving software engineering processes using machine learning and data mining techniques PhD Theses 2018 (1); by Marco Castelluccio
2018	Deep Learning for Fashion and Forensics PhD Theses 2018 (1); by Xintong Han
2018	Scalable Natural Language De-identification based on Machine Learning Approaches PhD Theses 2018 (1); by Muqun Li
2018	Multi-feature machine learning analysis for an improved characterization of the cardiac mechanics PhD Theses 2018 (1); by Sergio Sanchez-Martinez
2018	Improvement of sample classification and metabolite profiling in 1H-NMR by a machine learning-based modelling of signal parameters PhD Theses 2018 (1); by Daniel Cañueto Rodríguez
2018	Machine learning methods for understanding social media communication: modeling irony and emojis PhD Theses 2018 (1); by Francesco Barbieri
2018	A system for crack pattern detection, characterization and diagnosis in concrete structures by means of image processing and machine learning techniques PhD Theses 2018 (1); by Luis Alberto Sánchez Calderón
2018	Combined task and motion planning as classical AI planning PhD Theses 2018 (1); by Jonathan Ferrer-Mestres
2018	Robust leak localization in water distribution networks using machine learning techniques PhD Theses 2018 (1); by Adrià Soldevila
2018	Deep learning for i-vector speaker and language recognition PhD Theses 2018 (1); by Omid Ghahabi
2018	Biyomedikal bilgi çizgeleri için makine öğrenmesi tabanlı anlamsal bağ tahmini (Machine learning based semantic link prediction for biomedical knowledge graphs) PhD Theses 2018 (1); by Remzi Çelebi
2018	Yapay zeka temelli fotometrik ölçüm yazılımı geliştirilmesi ve yeni bir yol aydınlatma uygulaması (An artificial intelligence-based photometric measurement software development and a new road lighting application) PhD Theses 2018 (1); by Mehmet Kayakus
2018	Derin öğrenme tekniklerini kullanarak rgb-d nesne tanıma (Rgb-d object recognition using deep learning techniques) PhD Theses 2018 (1); by Ali Caglayan
2018	Malware detection for the android platform using machine learning techniques (Android platformu için makine öğrenmesi teknikleri kullanarak kötücül yazılım tespiti) PhD Theses 2018 (1); by Gökçer Peynirci
2018	Kısmi ve tam yüz görüntüleri üzerinde makine öğrenmesi yöntemleriyle yüz ifadesi tespiti (Facial expression recognition on partial and whole face images with machine learning methods) PhD Theses 2018 (1); by Ismail Oztel
2018	Modified stacking ensemble machine learning method for network intrusion detection (Ağ ihlalinin tespiti için modifiye edilmiş istifleme topluluk makine öğrenme tekniği) PhD Theses 2018 (1); by Necati Demir
2018	Histopatolojik görüntülerin makine öğrenmesi yöntemleri ile analizi (Analysis of histopathological images via machine learning methods) PhD Theses 2018 (1); by Abdulkadir Albayrak
2018	Derin öğrenme ve büyük veri yaklaşımları ile metin analizi (Text analysis with deep learning and big data approaches) PhD Theses 2018 (1); by Betül Ay Karakus
2018	Derin sinir ağı temelli üst özkodlayıcıların yapay öğrenme yöntemleriyle eğitilmesi (Training deep neural network based hyper autoencoders with machine learning methods) PhD Theses 2018 (1); by Derya Soydaner
2018	Makine öğrenmesi yöntemleri kullanılarak FPGA tabanlı gerçek zamanlı yeni bir trafik sınıflandırma mimarisi tasarımı (Designing a novel FPGA-based real-time traffic classification engine using machine learning techniques) PhD Theses 2018 (1); by Tuncay Soylu
2018	Enhancing machine learning algorithms in healthcare with electronic stethoscope (Tıpta elektronik stetoskop kullanarak makine öğrenmesi algoritmaları geliştirilmesi) PhD Theses 2018 (1); by Murat Aykanat
2018	Makine öğrenmesi tekniklerini kullanarak türkçe metinlerden düşünce çıkarımı ve duygu belirleme (Opinion extraction and sentiment detection for turkish documents using machine learning techniques) PhD Theses 2018 (1); by Mine Mercan
2018	A new framework by using deep learning techniques for data processing (Veri işleme için derin öğrenme teknikleri kullanarak yeni bir çerçeve) PhD Theses 2018 (1); by Ahmad Mozaffer Karim
2018	Machine Learning for Landmark Detection in Biomedical Applications PhD Theses 2018 (1); by Remy Vandaele
2018	Standardisation and automatisation of the diagnosis of patients with disorders of consciousness: a machine learning approach applied to electrophysiological brain and body signals PhD Theses 2018 (1); by Federico Raimondo
2018	Enhancing Content-Based Image Retrieval Using Aggregation of Binary Features, Deep Learning, and Supermetric Search PhD Theses 2018 (1); by Lucia Vadicamo
2018	Supporting humans with autonomous systems: deep learning for activity, state and environment recognition PhD Theses 2018 (1); by Giacomo Dabisias
2018	Distributed randomized model selection for nonlinear identification and supervised machine learning PhD Theses 2018 (1); by Aida Brankovic
2018	Learning by correlation for computer vision applications: from Kernel methods to deep learning PhD Theses 2018 (1); by Jacopo Cavazza
2018	Deep Learning for Feature Representation in Natural Language Processing PhD Theses 2018 (1); by Debora Nozza
2018	Towards Uncovering the True Use of Unlabeled Data in Machine Learning PhD Theses 2018 (1); by Emanuele Sansone
2018	Time series prediction and forecasting using Deep learning Architectures PhD Theses 2018 (1); by Sanam Narejo

Software Engineering / GOTO Conference Videos (FREE)

2018	TensorFlow Lite: Accelerate your Android and iOS App with AI GOTO Conference Videos (FREE) 2018; by Kaz Sato
2018	Artificial Intelligence Reloaded - AI Apps in the Industry GOTO Conference Videos (FREE) 2018; by Christoph Windheuser
2018	Inextricably Linked: Reproducibility & Productivity in Data Science & AI GOTO Conference Videos (FREE) 2018; by Mark Coleman
2018	Augmented Reality and Machine Learning Cooperation on Mobile GOTO Conference Videos (FREE) 2018; by Mourad Sidky
2018	Machine Learning: Alchemy for the Modern Computer Scientist GOTO Conference Videos (FREE) 2018; by Erik Meijer
2018	Beyond AI GOTO Conference Videos (FREE) 2018; by Jacob Sherson
2018	Machine Learning on Source Code GOTO Conference Videos (FREE) 2018; by Francesc Campoy
2018	Deep Learning in Medicine GOTO Conference Videos (FREE) 2018; by Allen Day
2018	Applied AI: Real-World Use Cases for Microsoft’s Azure Cognitive Services GOTO Conference Videos (FREE) 2018; by Paige Bailey
2018	Deep Learning for Developers GOTO Conference Videos (FREE) 2018; by Julien Simon
2018	Delivering AI on Code: Live Demo of source{d} GOTO Conference Videos (FREE) 2018; by Francesc Campoy

2017 (247)

Computing (general) / IEEE Computer

2017	Enabling Deep Learning on IoT Devices IEEE Computer 2017 (10); by Jie Tang, Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot
2017	The Weaponization of AI: A Glimpse into Future Threats IEEE Computer 2017 (10); by Brian David Johnson
2017	Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems IEEE Computer 2017 (5); by Joanna Bryson, Alan F. T. Winfield

Software Engineering / SE Radio Podcasts (FREE)

2017	SE Radio Episode 294 Asaf Yigal on Machine Learning in Log Analysis SE Radio Podcasts (FREE) 2017 Asaf Yigal talks with SE Radios Edaena Salinas about machine learning in log analysis.
2017	SE Radio Episode 286 Katie Malone Intro to Machine Learning SE Radio Podcasts (FREE) 2017 Show host Edaena Salinas talks with Katie Malone about Machine Learning. Katie Malone is a Data Scientist in the Research and Development department at…
2017	SE Radio Episode 294 Asaf Yigal on Machine Learning in Log Analysis SE Radio Podcasts (FREE) 2017 Asaf Yigal talks with SE Radios Edaena Salinas about machine learning in log analysis.
2017	SE Radio Episode 286 Katie Malone Intro to Machine Learning SE Radio Podcasts (FREE) 2017 Show host Edaena Salinas talks with Katie Malone about Machine Learning. Katie Malone is a Data Scientist in the Research and Development department at…

Computing (general) / Communications of the ACM

2017	Gaming machine learning Communications of the ACM 2017 (12); by Samuel Greengard
2017	The real risks of artificial intelligence Communications of the ACM 2017 (10); by David Lorge Parnas
2017	Moving beyond the Turing Test with the Allen AI Science Challenge Communications of the ACM 2017 (9); by Carissa Schoenick, Peter Clark, Oyvind Tafjord, Peter D. Turney, Oren Etzioni
2017	AI in contact centers Communications of the ACM 2017 (8); by Keith Kirkpatrick
2017	Artificial intelligence poised to ride a new wave Communications of the ACM 2017 (7); by Gary Anthes
2017	Deep learning takes on translation Communications of the ACM 2017 (6); by Don Monroe
2017	Research for practice: cryptocurrencies, blockchains, and smart contracts; hardware for deep learning Communications of the ACM 2017 (5); by Peter Bailis, Arvind Narayanan, Andrew Miller, Song Han
2017	Consider indirect threats of AI, too Communications of the ACM 2017 (4)
2017	Computational support for academic peer review: a perspective from artificial intelligence Communications of the ACM 2017 (3); by Simon Price, Peter A. Flach
2017	Address the consequences of AI in advance Communications of the ACM 2017 (3)
2017	AI dangers: imagined and real Communications of the ACM 2017 (2); by Devdatt P. Dubhashi, Shalom Lappin
2017	Artificial intelligence Communications of the ACM 2017 (2)
2017	Artificial intelligence: think again Communications of the ACM 2017 (1); by Jerry Kaplan

Enterprise Computing / IEEE IT Professional

2017	The Problem of Personalization: AI-Driven Analytics at Scale IEEE IT Professional 2017 (6); by Seth Earley
2017	Enterprise Cognitive Computing Applications: Opportunities and Challenges IEEE IT Professional 2017 (4); by Monideepa Tarafdar, Cynthia Mathis Beath, Jeanne W. Ross
2017	The Problem With AI IEEE IT Professional 2017 (4); by Seth Earley
2017	Cognitive Computing IEEE IT Professional 2017 (4); by Haluk Demirkan, Seth Earley, Robert R. Harmon
2017	Changing Mobile Data Analysis through Deep Learning IEEE IT Professional 2017 (3); by Panagiotis Kasnesis, Charalampos Z. Patrikakis, Iakovos S. Venieris

Computing (specialised) / IEEE Cloud Computing

2017	Deep Osmosis: Holistic Distributed Deep Learning in Osmotic Computing IEEE Cloud Computing 2017 (6); by A. Morshed, P. P. Jayaraman, T. Sellis, D. Georgakopoulos, M. Villari, R. Ranjan Emerging availability and varying complexity and types of Internet of Things devices, along with the large data volumes that such devices can potentially…
2017	Making Sense of AI in Public Clouds IEEE Cloud Computing 2017 (6); by D. S. Linthicum Artificial intelligence AI is best leveraged for specific types of applications that will benefit the most from this technology.

Computing (specialised) / IEEE Internet Computing

2017	A Layered Model for AI Governance IEEE Internet Computing 2017 (6); by Urs Gasser, Virgílio A. F. Almeida
2017	Unreliable Machine Learning IEEE Internet Computing 2017 (1); by Vinton G. Cerf

Software Engineering / IEEE Software

2017	Katie Malone on Machine Learning IEEE Software 2017 (4); by Edaena Salinas
2017	Deep Learning in Automotive Software IEEE Software 2017 (3); by Fabio Falcini, Giuseppe Lami, Alessandra Mitidieri Costanza

UX & Human Factors / ACM interactions

2017	Intelligence on tap: artificial intelligence as a new design material ACM interactions 2017 (4); by Lars Erik Holmquist
2017	So you want to be an AI designer? ACM interactions 2017 (4); by Nina Zhuxiaona Wei
2017	Avoiding pitfalls when using machine learning in HCI studies ACM interactions 2017 (4); by Vassilis Kostakos, Mirco Musolesi

UX & Human Factors / IEEE Multimedia

2017	Deep Learning Triggers a New Era in Industrial Robotics IEEE Multimedia 2017 (4); by Ryo Miyajima
2017	From Artificial Intelligence to Augmented Intelligence IEEE Multimedia 2017 (1); by Yong Rui

Computing (specialised) / IEEE Intelligent Systems

2017	Meta-Algorithms in Cognitive Computing IEEE Intelligent Systems 2017 (4); by Meinolf Sellmann
2017	Cognitive Computing IEEE Intelligent Systems 2017 (4); by Mohan Sridharan, Gerald Tesauro, James A. Hendler
2017	Deep Learning-Based Document Modeling for Personality Detection from Text IEEE Intelligent Systems 2017 (2); by Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Erik Cambria
2017	Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy IEEE Intelligent Systems 2017 (2); by Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2017	The Golden Age of AI IEEE Intelligent Systems 2017 (1); by V. S. Subrahmanian
2017	AI and Economics IEEE Intelligent Systems 2017 (1); by Tomasz P. Michalak, Michael J. Wooldridge

Computing (specialised) / IEEE Pervasive Computing

2017	Squeezing Deep Learning into Mobile and Embedded Devices IEEE Pervasive Computing 2017 (3); by Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2017	On-Device Mobile Phone Security Exploits Machine Learning IEEE Pervasive Computing 2017 (2); by Nayeem Islam, Saumitra Das, Yin Chen
2017	TJBot and Zooids: The Connection between Pervasive Computing and AI IEEE Pervasive Computing 2017 (1); by Maria R. Ebling

Computing (general) / ACM Computing Surveys

2017	Deep Learning Advances in Computer Vision with 3D Data: A Survey ACM Computing Surveys 2017 (2); by Anastasia Ioannidou, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris

Computing (general) / PhD Theses

2017	Deep learning in sequential data analysis PhD Theses 2017 (1); by Honghui Shi
2017	Using Machine Learning to improve Internet Privacy PhD Theses 2017 (1); by Sebastian Zimmeck
2017	Adaptive Distributed Caching for Scalable Machine Learning Services PhD Theses 2017 (1); by Utsav Drolia
2017	Deep Learning and Reward Design for Reinforcement Learning PhD Theses 2017 (1); by Xiaoxiao Guo
2017	Machine Learning Algorithms for Automated Satellite Snow and Sea Ice Detection PhD Theses 2017 (1); by George Bonev
2017	Deep Learning of Neuromuscular and Sensorimotor Control with Biomimetic Perception for Realistic Biomechanical Human Animation PhD Theses 2017 (1); by Masaki Nakada
2017	Machine Learning Approach to Retrieving Physical Variables from Remotely Sensed Data PhD Theses 2017 (1); by Fazlul Shahriar
2017	Hardware and Software Accelerators for Big Data Machine Learning Workloads PhD Theses 2017 (1); by Nitin Nitin
2017	Exploiting sparsity for machine learning in big data PhD Theses 2017 (1); by Rongda Zhu
2017	Machine learning models for analyzing chromatin and RNA structure data PhD Theses 2017 (1); by Chuan-Sheng Foo
2017	Relaxing the Implementation of Embedded Sensing Systems through Machine Learning and Statistical Optimization PhD Theses 2017 (1); by Zhuo Wang
2017	Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning PhD Theses 2017 (1); by Henggang Cui
2017	The Intelligent Management of Crowd-Powered Machine Learning PhD Theses 2017 (1); by Christopher H. Lin
2017	Solving Algorithmic Problems in Finitely Presented Groups via Machine Learning PhD Theses 2017 (1); by Jonathan Gryak
2017	Increasing the Effectiveness of Educational Technologies with the Use of Machine Learning Methods PhD Theses 2017 (1); by Mariheida Cordova-Sanchez
2017	Information theoretic and machine learning techniques for emerging genomic data analysis PhD Theses 2017 (1); by Minji Kim
2017	How deep learning can help emotion recognition PhD Theses 2017 (1); by Pooya Khorrami
2017	New Optimization Methods for Modern Machine Learning PhD Theses 2017 (1); by Sashank J. Reddi
2017	Enhancing Natural Products Structural Dereplication and Elucidation with Deep Learning Based Nuclear Magnetic Resonance Techniques PhD Theses 2017 (1); by Chen Zhang
2017	Efficient Bayesian Machine Learning with Gaussian Processes PhD Theses 2017 (1); by Hao Peng
2017	Mapping Sub-Saharan African Agriculture in High-Resolution Satellite Imagery with Computer Vision & Machine Learning PhD Theses 2017 (1); by Stephanie R. Debats
2017	Kernels and Geometry of Machine Learning PhD Theses 2017 (1); by John Moeller
2017	Applications of econometrics and machine learning to development and international economics PhD Theses 2017 (1); by Jonathan Hersh
2017	Machine Learning for the Sciences PhD Theses 2017 (1); by Kevin Bache
2017	Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding PhD Theses 2017 (1); by Tengyu Ma
2017	Algorithmes décentralisés et asynchrones pour l'apprentissage statistique large échelle et application à l'indexation multimédia. (Decentralized and asynchronous algorithms for large scale machine learning and application to multimedia indexing) PhD Theses 2017 (1); by Jérôme Fellus
2017	Applications de l'intelligence artificielle à la détection et l'isolation de pannes multiples dans un réseau de télécommunications. (Application of artificial intelligence to the detection and isolation of multiple faults in a telecommunications network) PhD Theses 2017 (1); by Serge Romaric Tembo Mouafo
2017	Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives. (Study and prediction of visual attention with deep learning networks in view of assessment of patients with neurodegenerative diseases) PhD Theses 2017 (1); by Souad Chaabouni
2017	Méthodes aléatoires pour l'apprentissage de données en grande dimension: application à l'apprentissage partagé. (Random methods for machine learning of high dimensional data: application to transfer learning) PhD Theses 2017 (1); by Nassara Elhadji Ille Gado
2017	Machine learning techniques for content-based information retrieval. (Méthodes d'apprentissage automatique pour la recherche par le contenu de l'information) PhD Theses 2017 (1); by Sanaa Chafik
2017	Machine learning under budget constraints. (Apprentissage statistique sous contraintes de budget) PhD Theses 2017 (1); by Gabriella Contardo
2017	Contribution à l'analyse et à la compréhension des signaux des réseaux électriques par des techniques issues du traitement du signal et de l'apprentissage machine. (Contribution to the analysis and understanting of electrical-grid signals with signal processing and machine learning techniques) PhD Theses 2017 (1); by Thien Minh Nguyen
2017	Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description sémantique des traits visuels humains) PhD Theses 2017 (1); by Grigory Antipov
2017	Simulation of surgery effect on cerebral palsy gait by supervised machine learning. (Simulation de l'effet de la chirurgie sur la marche par apprentissage statistique chez des enfants atteints de paralysie cérébrale) PhD Theses 2017 (1); by Omar A. Galarraga C.
2017	Dynamic hand gesture recognition - From traditional handcrafted to recent deep learning approaches. (Reconnaisance de gestes dynamiques de la main - De la création de descripteurs aux récentes méthodes d'apprentissage profond) PhD Theses 2017 (1); by Quentin De Smedt
2017	Combiner la programmation par contraintes et l'apprentissage machine pour construire un modèle éco-énergétique pour petits et moyens data centers. (Combining constraint programming and machine learning to come up with an energy aware model for small/medium size data centers) PhD Theses 2017 (1); by Gilles Madi-Wamba
2017	Stochastic Approximation and Least-Squares Regression, with Applications to Machine Learning. (Approximation Stochastique et Régression par Moindres Carrés : Applications en Apprentissage Automatique) PhD Theses 2017 (1); by Nicolas Flammarion
2017	Active and deep learning for multimedia. (Apprentissage actif et profond pour le multimédia) PhD Theses 2017 (1); by Mateusz Budnik
2017	Scalable algorithms for large-scale machine learning problems : Application to multiclass classification and asynchronous distributed optimization. (Algorithmes d'apprentissage pour les grandes masses de données : Application à la classification multi-classes et à l'optimisation distribuée asynchrone) PhD Theses 2017 (1); by Bikash Joshi
2017	Adaptive machine learning algorithms for data streams subject to concept drifts. (Algorithmes de machine learning adaptatifs pour flux de données sujets à des changements de concept) PhD Theses 2017 (1); by Pierre-Xavier Loeffel
2017	Advanced machine learning techniques based on DC programming and DCA. (Techniques avancées d'apprentissage automatique basées sur la programmation DC et DCA) PhD Theses 2017 (1); by Vinh Thanh Ho
2017	Vers des interfaces cérébrales adaptées aux utilisateurs : interaction robuste et apprentissage statistique basé sur la géométrie riemannienne. (Toward user-adapted brain computer interfaces : robust interaction and machine learning based on riemannian geometry) PhD Theses 2017 (1); by Emmanuel Kalunga
2017	Machine Learning for Predictive Maintenance in Aviation. (Apprentissage Automatique pour la Maintenance Predictive dans le Domaine de l'Aviation) PhD Theses 2017 (1); by Panagiotis Korvesis
2017	Convolutional Sparse Representations - application to physiological signals and interpretability for Deep Learning. (Représentations Convolutives Parcimonieuses - application aux signaux physiologiques et interpétabilité de l'apprentissage profond) PhD Theses 2017 (1); by Thomas Moreau
2017	Contributions to the use of analogical proportions for machine learning : theoretical properties and application to recommendation. (Contributions à l'usage des proportions analogiques pour l'apprentissage artificiel : propriétés théoriques et application à la recommandation) PhD Theses 2017 (1); by Nicolas Hug
2017	Generic acceleration schemes for gradient-based optimization in machine learning. (Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique) PhD Theses 2017 (1); by Hongzhou Lin
2017	Autour de L'Usage des gradients en apprentissage statistique. (Around the Use of Gradients in Machine Learning) PhD Theses 2017 (1); by Pierre-Yves Massé
2017	Techniques d'analyse de contenu appliquées à l'imagerie spatiale. (Machine learning applied to remote sensing images) PhD Theses 2017 (1); by Matthieu Le Goff
2017	Sur deux problèmes d'apprentissage automatique : la détection de communautés et l'appariement adaptatif. (On two problems in machine learning : community detection and adaptive matching) PhD Theses 2017 (1); by Lennart Gulikers
2017	Deep Learning Models for Unsupervised and Transfer Learning PhD Theses 2017 (1); by Nitish Srivastava
2017	Improving Bayesian Optimization for Machine Learning using Expert Priors PhD Theses 2017 (1); by Kevin Swersky
2017	Programmable nanophotonics for quantum information processing and artificial intelligence PhD Theses 2017 (1); by Nicholas Christopher Harris
2017	Multi-modal and deep learning for robust speech recognition PhD Theses 2017 (1); by Xue Feng
2017	Machine learning algorithms for the analysis and detection of network attacks PhD Theses 2017 (1); by Maryam Mousaarab Najafabadi
2017	Face recognition enhancement through the use of depth maps and deep learning PhD Theses 2017 (1); by Yaser Saleh
2017	Deep learning-based regional image caption generation with refined descriptions PhD Theses 2017 (1); by Philip Kinghorn
2017	Predictive risk modelling of hospital emergency readmission, and temporal comorbidity index modelling using machine learning methods PhD Theses 2017 (1); by Mohsen Mesgarpour
2017	Flexible robotic control via co-operation between an operator and an AI-based control system PhD Theses 2017 (1); by Emmanouil Chiou
2017	Deep learning based facial expression recognition and its applications PhD Theses 2017 (1); by Asim Jan
2017	A machine learning framework for optimising file distribution across multiple cloud storage services PhD Theses 2017 (1); by Abdullah Fayez H. Algarni
2017	Optimisation of a propagation model for last mile connectivity with low altitude platforms using machine learning PhD Theses 2017 (1); by Faris A. Almalki
2017	Vision-based human action recognition using machine learning techniques PhD Theses 2017 (1); by Allah Bux Sargano
2017	Machine learning in galaxy groups detection PhD Theses 2017 (1); by Rafee Tariq Ibrahem
2017	Action recognition using deep learning PhD Theses 2017 (1); by Petar Palasek
2017	Deep learning for reading and understanding language PhD Theses 2017 (1); by Tomás Kociský
2017	The use of deep learning to solve invariance issues in object recognition PhD Theses 2017 (1); by Erik Barrow
2017	Fundamental frequency modelling: an articulatory perspective with target approximation and deep learning PhD Theses 2017 (1); by Hao Liu
2017	Component analysis of complex-valued data for machine learning and computer vision tasks PhD Theses 2017 (1); by Athanasios Papaioannou
2017	A role for introspection in AI research PhD Theses 2017 (1); by Sam Freed
2017	Machine learning in quantitative finance PhD Theses 2017 (1); by Youngmin Ha
2017	Investigating machine learning methods in recommender systems PhD Theses 2017 (1); by Marios Michailidis
2017	Application of machine learning to financial time series analysis PhD Theses 2017 (1); by Martin Victor Sewell
2017	Optimal feature selection and machine learning for high-level audio classification: a random forests approach PhD Theses 2017 (1); by Muhammad Mazin Al-Maathidi
2017	Effect of cognitive biases on human understanding of rule-based machine learning models PhD Theses 2017 (1); by Tomás Kliegr
2017	Machine learning methods for behaviour analysis and anomaly detection in video PhD Theses 2017 (1); by Olga Isupova
2017	Potential based prediction markets : a machine learning perspective PhD Theses 2017 (1); by Jinli Hu
2017	Learning static knowledge for AI planning domain models via plan traces PhD Theses 2017 (1); by Rabia Jilani
2017	Evolutionary algorithms and machine learning techniques for information retrieval PhD Theses 2017 (1); by Osman Ali Sadek Ibrahim
2017	Stochastic, distributed and federated optimization for machine learning PhD Theses 2017 (1); by Jakub Konecný
2017	Genome sequence-based virus taxonomy using machine learning PhD Theses 2017 (1); by Tingting Wang
2017	Text independent offline hand writer recognition using machine learning PhD Theses 2017 (1); by Faraz Ahmad Khan
2017	A hybrid machine learning approach to measuring sentiment, credibility and influence on Twitter PhD Theses 2017 (1); by Robert Heeley
2017	Optimizing deep learning networks using multi-armed bandits PhD Theses 2017 (1); by Salem Abdussalam Ameen
2017	Data mining and machine learning for environmental systems modelling and analysis PhD Theses 2017 (1); by José Roberto Ayala Solares
2017	Machine learning stratification for oncology patient survival PhD Theses 2017 (1); by Katherine L. Lloyd
2017	Knowledge extraction from biomedical data using machine learning PhD Theses 2017 (1); by Nicola Lazzarini
2017	A machine learning approach for smart computer security audit PhD Theses 2017 (1); by Konstantin Pozdniakov
2017	Machine learning methods for delay estimation in gravitationally lensed signals PhD Theses 2017 (1); by Sultanah Al Otaibi
2017	Gossip-Based Machine Learning in Fully Distributed Environments PhD Theses 2017 (1); by István Hegedüs
2017	Machine Learning Methods for Multimedia Information Retrieval PhD Theses 2017 (1); by Bálint Zoltán Daróczy
2017	Újszerű módszertan nagy adathalmazok (Big Data) kezelésére folyamatoptimalizációt célzó deep learning módszerek kutatása alapján PhD Theses 2017 (1); by Péter Szármes
2017	Machine Learning and Security of Non-Executable Files PhD Theses 2017 (1); by Nedim Srndic
2017	Improving and interpreting machine learning algorithms with applications PhD Theses 2017 (1); by Marina M.-C. Vidovic
2017	Machine Learning Approaches to Image Deconvolution PhD Theses 2017 (1); by Christian J. Schuler
2017	Adversarial and Secure Machine Learning PhD Theses 2017 (1); by Huang Xiao
2017	Object detection using feature mining in a distributed machine learning framework PhD Theses 2017 (1); by Arne Ehlers
2017	Complex network embedding in the hyperbolic space using non-linear unsupervised machine learning techniques PhD Theses 2017 (1); by Josephine Maria Thomas
2017	Variants of the Graph Laplacian with Applications in Machine Learning PhD Theses 2017 (1); by Sven Kurras
2017	Advanced Data Mining and Machine Learning Algorithms for Integrated Computer-Based Analyses of Big Environmental Databases PhD Theses 2017 (1); by Abduljabbar Asadi
2017	Deep learning in space and time for document image processing PhD Theses 2017 (1); by Muhammad Zeshan Afzal
2017	Deep learning-inspired image quality enhancement PhD Theses 2017 (1); by Ruxin Wang
2017	Machine Learning for Medical Instrument Detection and Pose Estimation in Retinal Microsurgery (Maschinelles Lernen für medizinische Instrumentenerkennung und Einschätzung der Pose in der retinalen Mikrochirurgie) PhD Theses 2017 (1); by Mohamed Alsheakhali
2017	Data Mining and Machine Learning Methods for High-dimensional Patient Data in Dementia Research: Voxel Features Mining, Subgroup Discovery and Multi-view Learning (Data Mining und Maschinelles Lernen Verfahren für Hochdimensionale Patientendaten in Demenzforschung : Voxel Merkmale Mining, Subgroup Discovery und Multi-View-Learning) PhD Theses 2017 (1); by Rui Li
2017	Developments of a new artificial intelligence approach for anomaly detection PhD Theses 2017 (1); by Bruno Filipe Faria
2017	Computer Vision and Machine Learning Methodsfor Analyzing First Temple Period Inscriptions / by Arie Shaus ; under the supervision of Professor Eli Turkel, Secondary supervisor: Professor Israel Finkelstein PhD Theses 2017 (1); by Arie Shaus
2017	Shape Correspondence using Spectral Methods and Deep Learning PhD Theses 2017 (1); by Alon Shtern
2017	Applications and development of machine learning methods for biological signals arising from cognitive processes PhD Theses 2017 (1); by Alex Frid
2017	Machine learning methods for predicting cancer drug effects from signaling and cell fate data PhD Theses 2017 (1); by Shital Kumar Mishra
2017	Machine Learning Approaches for Personalized Clinical Risk Modeling PhD Theses 2017 (1); by Nozomi Nori
2017	Collective artificial intelligence and personalized educational interactions in learning new skills PhD Theses 2017 (1); by Chairi Kiourt
2017	Determination of minced meat quality using machine learning PhD Theses 2017 (1); by Athina Ropodi
2017	Complex networks and machine learning in scientometrics PhD Theses 2017 (1); by Antonia Gogoglou
2017	Machine learning on graphs: algorithms and applications PhD Theses 2017 (1); by Giannis Nikolentzos
2017	Trajectory Optimization and Machine Learning Radiofrequency Pulses for Enhanced Magnetic Resonance Imaging PhD Theses 2017 (1); by Julianna D. Ianni
2017	Machine Learning Methods for Diagnosis, Prognosis and Prediction of Long-term Treatment Outcome of Major Depression PhD Theses 2017 (1); by Zhi Nie
2017	Machine Learning for Small Molecule Identification PhD Theses 2017 (1); by Huibin Shen
2017	Building change detection from remotely sensed data using machine learning techniques PhD Theses 2017 (1); by Kaibin Zong
2017	System-Aware Optimization for Machine Learning at Scale PhD Theses 2017 (1); by Virginia Smith
2017	Spectrum-based fault localization using machine learning PhD Theses 2017 (1); by Neelofar
2017	Unsupervised Networks, Stochasticity and Optimization in Deep Learning PhD Theses 2017 (1); by Mathias Berglund
2017	A Machine Learning Approach to Modeling Dynamic Decision-Making in Strategic Interactions and Prediction Markets PhD Theses 2017 (1); by John J. Nay
2017	Motor imagery EEG signal classification using deep learning for brain computer interfaces ; Beyin bilgisayar arayüzü için derin öğrenme kullanarak motor imgeleme EEG sinyali sınıflandırma PhD Theses 2017 (1); by Yousef Rezaei Tabar
2017	Weakly supervised machine learning algorithms for object recognition in-the-wild and entity linking in videos ; Zwak toezicht machine learning algoritmen voor objectherkenning in-the-wild en entiteit koppelen in video's PhD Theses 2017 (1); by Aparna Nurani Venkitasubramanian
2017	Content-based image retrieval and speech enhancement system using deep learning structure PhD Theses 2017 (1); by Xiangyuan Zhao
2017	Pulsar Search Using Supervised Machine Learning PhD Theses 2017 (1); by John M. Ford
2017	Computer Vision and Deep Learning with Applications to Object Detection, Segmentation, and Document Analysis PhD Theses 2017 (1); by Xianzhi Du
2017	Multidimensional Particle Swarm Optimization for Machine Learning PhD Theses 2017 (1); by Jenni Raitoharju
2017	Feature extraction using MPEG-CDVS and Deep Learning with application to robotic navigation and image classification PhD Theses 2017 (1); by Pedro Porto Buarque de Gusmão
2017	Machine Learning Methods for Structural Brain MRIs: Applications for Alzheimer's Disease and Autism Spectrum Disorder PhD Theses 2017 (1); by Elaheh Moradi
2017	Large vocabulary automatic chord estimation from audio using deep learning approaches PhD Theses 2017 (1); by Jun-qi Deng
2017	Joint Multiple Visual Task Understanding from a Single Image via Deep Learning and Conditional Random Field PhD Theses 2017 (1); by Peng Wang
2017	Novel computational methods to predict drug-target interactions using graph mining and machine learning approaches PhD Theses 2017 (1); by Rawan S. Olayan
2017	Machine Learning Techniques for Heterogeneous Data Sets PhD Theses 2017 (1); by Jingxiang Chen
2017	Machine learning methods for improving drug response prediction in cancer PhD Theses 2017 (1); by Muhammad Ammad-ud-din
2017	Managing the Scarcity of Monitoring Data through Machine Learning in Healthcare Domain PhD Theses 2017 (1); by Alban Maxhuni
2017	A Face Detection and Recognition System for Color Images using Neural Networks with Boosting and Deep Learning PhD Theses 2017 (1); by Mohammadreza Hajiarbabi
2017	Machine Learning and Adaptive Signal Processing Methods for Electrocardiography Applications PhD Theses 2017 (1); by Calvin A. Perumalla
2017	Discourse-Level Language Understanding with Deep Learning PhD Theses 2017 (1); by Mohit Iyyer
2017	Deep Learning for Image Understanding PhD Theses 2017 (1); by Yufei Wang
2017	Deep Learning for Biological Problems PhD Theses 2017 (1); by Haitham Elmarakeby
2017	Personal State and Emotion Monitoring by Wearable Computing and Machine Learning (Persönliche Zustands- und Emotionsüberwachung durch Wearable Computing und Machine Learning) PhD Theses 2017 (1); by Ali Mehmood Khan
2017	Parallel Machine Learning Using Concurrency Control PhD Theses 2017 (1); by Xinghao Pan
2017	Algorithms and analysis for non-convex optimization problems in machine learning PhD Theses 2017 (1); by Bo Xie
2017	Protein Model Quality Assessment: A Machine Learning Approach PhD Theses 2017 (1); by Karolis Uziela
2017	Nonlinear Analysis of Phase Retrieval and Deep Learning PhD Theses 2017 (1); by Dongmian Zou
2017	Deep Learning for Distant Speech Recognition PhD Theses 2017 (1); by Mirco Ravanelli
2017	Deep learning based automatic colorization and color sketch generation PhD Theses 2017 (1); by Wei Zhang 0114
2017	Implementing Efficient, Portable Computations for Machine Learning PhD Theses 2017 (1); by Matthew W. Moskewicz
2017	Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures PhD Theses 2017 (1); by Kamesh Arumugam
2017	Physically Motivated Feature Development for Machine Learning Applications PhD Theses 2017 (1); by Nicholas Czarnek
2017	Machine learning and big data analytics for the smart grid PhD Theses 2017 (1); by Xiaochen Zhang
2017	Efficient large-scale machine learning algorithms for genomic sequences PhD Theses 2017 (1); by Daniel Quang
2017	Machine Learning for Gait Classification (Maschinelles Lernen für Gang-Klassifikation) PhD Theses 2017 (1); by Xingchen Wang
2017	System Design for Large Scale Machine Learning PhD Theses 2017 (1); by Shivaram Venkataraman
2017	Interpreting the Script: Image Analysis and Machine Learning for Quantitative Studies of Pre-modern Manuscripts PhD Theses 2017 (1); by Fredrik Wahlberg
2017	Toward Symbiotic Human-AI Interaction Focusing on Programming by Example PhD Theses 2017 (1); by Tak Yeon Lee
2017	Exploiting latent structure in artificial intelligence languages PhD Theses 2017 (1); by Timothy Joseph Cerexhe
2017	End-To-End Text Detection Using Deep Learning PhD Theses 2017 (1); by Ahmed Ibrahim
2017	Automated Classification for Biomedical Data: Machine Learning Approaches for Subject-Independent Settings PhD Theses 2017 (1); by Thuy Thi Pham
2017	Real-time cognitive workload measures: investigating user mouse activity and machine learning PhD Theses 2017 (1); by Syed Z. Arshad
2017	Machine Learning Approaches for Identifying microRNA Targets and Conserved Protein Complexes PhD Theses 2017 (1); by Hanaa Torkey
2017	Accurate prediction of human mirna targets via graph modeling and machine learning approaches PhD Theses 2017 (1); by Mohammad Mohebbi
2017	Machine Learning and Big Data Methodologies for Network Traffic Monitoring PhD Theses 2017 (1); by Danilo Giordano
2017	Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection PhD Theses 2017 (1); by Debrup Banerjee
2017	Deep Learning in Chemoinformatics using Tensor Flow PhD Theses 2017 (1); by Akshay Jain
2017	Divide and Conquer Algorithms for Faster Machine Learning PhD Theses 2017 (1); by Michael Izbicki
2017	Machine learning based analysis of cardiovascular images PhD Theses 2017 (1); by Jelmer M. Wolterink
2017	FPGA Architectures for Low Precision Machine Learning PhD Theses 2017 (1); by Duncan J. M. Moss
2017	Extracting information from deep learning models for computational biology PhD Theses 2017 (1); by Tianxiang Gao
2017	Quality-efficiency trade-offs in machine learning applied to text processing PhD Theses 2017 (1); by Zeinab Liaghat
2017	A machine learning based methodology for anomaly detection in dam behaviour PhD Theses 2017 (1); by Fernando Salazar González
2017	Knowledge-defined networking: a machine learning based approach for network and traffic modeling PhD Theses 2017 (1); by Albert Mestres
2017	Improving heterogeneous system efficiency : architecture, scheduling, and machine learning PhD Theses 2017 (1); by Daniel Nemirovsky
2017	Parkinson hastalıkları verilerinin makine öğrenmesi yöntemleriyle araştırılması (Analyzing Parkinson diseases data by machine learning methods) PhD Theses 2017 (1); by Fatih Aydin
2017	Splice site prediction using machine learning (Makine öğrenmesi kullanarak uçbirleştirme yeri tahmini) PhD Theses 2017 (1); by Elham Pashaei
2017	Yazılım projeleri için yapay zeka tabanlı risk yönetimi (Artificial intelligence based risk management for software projects) PhD Theses 2017 (1); by Muhammed Hanefi Calp
2017	Computer vision and machine learning based adaptable conversion method for any light microscope to automated cell counter by trypan blue dye-exclusion (Bilgisayarlı görme ve makine öğrenme\'ye dayalı olarak trapan mavisi boya dışlama tabanlı ışık mikroskoplarının otomatize hücre sayarına uyarlanabilir dönüşüm yöntemi) PhD Theses 2017 (1); by Akin Ozkan
2017	Makine öğrenmesi teknikleri ile aritmi tespiti ve yeni öznitelikler ile başarımın artırılması (Arrhythmia detection with machine learning techniques and increase the classification performance using new features) PhD Theses 2017 (1); by Yasin Kaya
2017	Hiperspektral görüntüleme ve makine öğrenmesi teknikleri ile küflü kuru incirlerin tahribatsız olarak tespiti (Hyperspectral imaging and machine learning techniques for non-invasive detection of fungal contaminated dried figs) PhD Theses 2017 (1); by Ali Günes
2017	Derin öğrenme yöntemleri kullanarak hiperspektral imgelerin sınıflandırılmasına yönelik yeni yaklaşımlar (New approaches for hyperspectral image classification using deep learning) PhD Theses 2017 (1); by Hasan Badem
2017	Yapay zeka tabanlı optimizasyon algoritmaları geliştirilmesi (Development of artificial intelligence based optimization algorithms) PhD Theses 2017 (1); by Utku Köse
2017	Meta-analysis of microRNA and gene selection using machine learning (Makine öğrenmesi kullanarak microRNA meta-analizi ve gen seçimi) PhD Theses 2017 (1); by Elnaz Pashaei
2017	Görüntü işleme ve makine öğrenmesine dayalı diyabetik retinopati hastalığı teşhisi ve sınıflandırılması (The diagnosis and classification of diabetic retinopathy disease based on image processing and machine learning) PhD Theses 2017 (1); by Kemal Adem
2017	Kardiyotokografi işaretlerinin analizi ve makine öğrenmesi teknikleri ile sınıflandırılması (Analysis of cardiotocography signals and classifying with machine learning techniques) PhD Theses 2017 (1); by Zafer Cömert
2017	Sürücü uykululuğunun gerçek zamanlı görüntü işleme ve makine öğrenmesi teknikleri ile tespitine yönelik bir sistem tasarımı ve uygulaması (Designing and implementation of driver sleepiness detection system by using real-time image processing and machine learning techniques) PhD Theses 2017 (1); by Muhammed Ozan Aki
2017	A deep learning approach for sentiment analysis PhD Theses 2017 (1); by Michele Di Capua
2017	Machine Learning for Investigating Post-Transcriptional Regulation of Gene Expression PhD Theses 2017 (1); by Gianluca Corrado
2017	Analysis of vertebrates' activity by machine learning PhD Theses 2017 (1); by Rita Pucci

Hardware and Microprocessor Systems / IEEE Micro

2017	Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads IEEE Micro 2017 (1); by Yuhao Zhu, Vijay Janapa Reddi, Robert Adolf, Saketh Rama, Brandon Reagen, Gu-Yeon Wei, David M. Brooks

Software Engineering / GOTO Conference Videos (FREE)

2017	Apache Spark for Machine Learning on Large Data Sets GOTO Conference Videos (FREE) 2017; by Juliet Hougland
2017	Machines that Learn Through Action: The Future of AI GOTO Conference Videos (FREE) 2017; by Julie Pitt
2017	Using EEG & Machine Learning to Perform Lie Detection GOTO Conference Videos (FREE) 2017; by Jennifer Marsman
2017	Machine Learning in the Wild: Techniques for Understanding your Audience GOTO Conference Videos (FREE) 2017; by Sarah Guido
2017	TensorFlow in the Wild (or the Democratization of Machine Learning) GOTO Conference Videos (FREE) 2017; by Kaz Sato
2017	One Does Not Simply Put Machine Learning Into Production GOTO Conference Videos (FREE) 2017; by Henrik Brink
2017	Machine Learning with TensorFlow and Google Cloud GOTO Conference Videos (FREE) 2017; by Vijay Reddy
2017	Machine Learning with TensorFlow GOTO Conference Videos (FREE) 2017; by Robert Saxby, Rokesh Jankie
2017	Machine Learning, Your First Steps GOTO Conference Videos (FREE) 2017; by David Stibbe
2017	Improving Business Decision Making with Bayesian Artificial Intelligence GOTO Conference Videos (FREE) 2017; by Michael Green
2017	Deep Learning: What It Is & What It Can Do For You GOTO Conference Videos (FREE) 2017; by Diogo Moitinho de Almeida
2017	Composing Bach Chorales Using Deep Learning GOTO Conference Videos (FREE) 2017; by Feynman Liang

2016 (136)

Computing (general) / Communications of the ACM

2016	DianNao family: energy-efficient hardware accelerators for machine learning Communications of the ACM 2016 (11); by Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam
2016	Designing AI systems that obey our laws and values Communications of the ACM 2016 (9); by Amitai Etzioni, Oren Etzioni
2016	The solution to AI, what real researchers do, and expectations for CS classrooms Communications of the ACM 2016 (6); by John Langford, Mark Guzdial
2016	The moral imperative of artificial intelligence Communications of the ACM 2016 (5); by Moshe Y. Vardi
2016	Expect 'ungoverned actors' to use AI-supported weapons, too Communications of the ACM 2016 (2)

Computing (general) / IEEE Computer

2016	Machine Learning in Cardiac Health Monitoring and Decision Support IEEE Computer 2016 (11); by Shurouq Hijazi, Alex Page, Burak Kantarci, Tolga Soyata
2016	Engineering the New Boundaries of AI IEEE Computer 2016 (11); by Amir Banifatemi, Jean-Luc Gaudiot

Enterprise Computing / IEEE IT Professional

2016	Masterminds of Artificial Intelligence: Marvin Minsky and Seymour Papert IEEE IT Professional 2016 (6); by George O. Strawn, Candace Strawn
2016	There Is No AI Without IA IEEE IT Professional 2016 (3); by Seth Earley

Computing (specialised) / IEEE Intelligent Systems

2016	Artificial Intelligence as an Effective Classroom Assistant IEEE Intelligent Systems 2016 (6); by Benedict du Boulay
2016	Recent Advances in AI for Computational Sustainability IEEE Intelligent Systems 2016 (4); by Douglas H. Fisher
2016	UT Austin Villa: Project-Driven Research in AI and Robotics IEEE Intelligent Systems 2016 (2); by Katie Genter, Patrick MacAlpine, Jacob Menashe, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone
2016	AI's 10 to Watch IEEE Intelligent Systems 2016 (1); by Haris Aziz, Elias Bareinboim, Yejin Choi, Daniel J. Hsu, Shivaram Kalyanakrishnan, Reshef Meir, Suchi Saria, Gerardo I. Simari, Lirong Xia, William Yeoh

UX & Human Factors / IEEE Multimedia

2016	Computer Vision Startups Tackle AI IEEE Multimedia 2016 (4); by Alex Jaimes

UX & Human Factors / IEEE Computer Graphics & Applications

2016	Applying Computational Aesthetics to a Video Game Application Using Machine Learning IEEE Computer Graphics & Applications 2016 (4); by Ali Naci Erdem, Ugur Halici

Other / IEEE Annals of the History of Computing

2016	On the Cruelty of Really Writing a History of Machine Learning IEEE Annals of the History of Computing 2016 (4); by Aaron Plasek

Computing (specialised) / IEEE Security & Privacy

2016	Machine Learning in Adversarial Settings IEEE Security & Privacy 2016 (3); by Patrick D. McDaniel, Nicolas Papernot, Z. Berkay Celik

Computing (specialised) / IEEE Pervasive Computing

2016	Cloud-Based AI for Pervasive Applications IEEE Pervasive Computing 2016 (1); by Albrecht Schmidt

Software Engineering / ACM queue (FREE)

2016	Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning ACM queue (FREE) 2016 (6); by Peter Bailis, Arvind Narayanan, Andrew Miller, Song Han

Software Engineering / IEEE Software

2016	Machine Learning IEEE Software 2016 (5); by Panos Louridas, Christof Ebert

Computing (general) / ACM Computing Surveys

2016	On the Security of Machine Learning in Malware C&C Detection: A Survey ACM Computing Surveys 2016 (3); by Joseph Gardiner, Shishir Nagaraja
2016	Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review ACM Computing Surveys 2016 (3); by Pedro Henriques Abreu, Miriam Seoane Santos, Miguel Henriques Abreu, Bruno Andrade, Daniel Castro Silva

Computing (general) / PhD Theses

2016	Understanding Visual Appearance on the Web Using Large-Scale Crowdsourcing and Deep Learning PhD Theses 2016 (1); by Sean Bell
2016	Deep Learning for Robotics PhD Theses 2016 (1); by Ian Lenz
2016	Expressive Collaborative Music Performance via Machine Learning PhD Theses 2016 (1); by Guangyu Xia
2016	A study of security issues of mobile apps in the android platform using machine learning approaches PhD Theses 2016 (1); by Lei Cen
2016	Cognitive gameplaying: playing games with cognitive computing PhD Theses 2016 (1); by Simon Ellis
2016	Distributed Stochastic Optimization for Deep Learning PhD Theses 2016 (1); by Sixin Zhang
2016	Modeling Vehicular Traffic Shock Wave with Machine Learning Approaches PhD Theses 2016 (1); by Jihyoung Kim
2016	Design of robust ultra-low power platform for in-silicon machine learning PhD Theses 2016 (1); by Sai Zhang
2016	Machine Learning to Scale Fault Detection in Smart Energy Generation and Building Systems PhD Theses 2016 (1); by R. Lily Hu
2016	Concentration of measure, negative association, and machine learning PhD Theses 2016 (1); by Jonathan Root
2016	Why Machine Learning Works PhD Theses 2016 (1); by George D. Montañez
2016	Artificial Intelligence as a Tool for Understanding Narrative Choices PhD Theses 2016 (1); by Peter A. Mawhorter
2016	Similarity modeling for machine learning PhD Theses 2016 (1); by Yingzhen Yang
2016	Uncovering patterns in student work: machine learning to understand human learning PhD Theses 2016 (1); by Chris Piech
2016	Deep learning and probabilistic methods for robotic perception from streaming data PhD Theses 2016 (1); by David A. Held
2016	Sécurité des applications Web : Analyse, modélisation et détection des attaques par apprentissage automatique. (Web application security : analysis, modeling and attacks detection using machine learning) PhD Theses 2016 (1); by Abdelhamid Makiou
2016	Development of face analysis approximation methods by machine learning. (Développement de méthodes de rapprochement physionomique par apprentissage machine) PhD Theses 2016 (1); by Binod Bhattarai
2016	Modèles prudents en apprentissage statistique supervisé. (Cautious models in supervised machine learning) PhD Theses 2016 (1); by Gen Yang
2016	Dynamic machine learning for supervised and unsupervised classification. (Apprentissage automatique dynamique pour la classification supervisée et non supervisée) PhD Theses 2016 (1); by Adela-Maria Sirbu
2016	Forensic Source Camera Identification by Using Features in Machine Learning Approach. (Identification d'appareils photos par apprentissage) PhD Theses 2016 (1); by Amel Tuama Alhussainy
2016	Combining machine learning and evolution for the annotation of metagenomics data. (La combinaison de l'apprentissage statistique et de l'évolution pour l'annotation des données métagénomiques) PhD Theses 2016 (1); by Ari Ugarte
2016	Matrices efficientes pour le traitement du signal et l'apprentissage automatique. (Efficient matrices for signal processing and machine learning) PhD Theses 2016 (1); by Luc Le Magoarou
2016	Adapting machine learning methods to U-statistics. (Adaptation des méthodes d'apprentissage aux U-statistiques) PhD Theses 2016 (1); by Igor Colin
2016	Le modèle flot de données appliqué à la synthèse haut-niveau pour le traitement d'images sur caméra intelligente à base de FPGA. Application aux systèmes d'apprentissage supervisés. (High level synthesis of dataflow programs for image processing on FPGA-based smart camera. Application to machine learning) PhD Theses 2016 (1); by Cédric Bourrasset
2016	Cartographie de l'apprentissage artificiel et de ses algorithmes. (Cartography of machine learning and its algorithms) PhD Theses 2016 (1); by Antoine Mazieres
2016	Machine Learning methods for optimization in Multi-Agent Decision Support System : application to Sign Placement for Tsunami Evacuation. (Méthodes d'Apprentissage Automatique pour l'Optimisation des Systèmes multi-agents d'aide à la décision : Application au Placement des Panneaux signalétiques pour l'aide à l'Évacuation en cas de tsunami) PhD Theses 2016 (1); by Van-Minh Le
2016	Spatial machine learning applied to multivariate and multimodal images. (Machine learning spatial appliquée aux images multivariées et multimodales) PhD Theses 2016 (1); by Gianni Franchi
2016	Deep Learning for Human Motion Analysis. (Apprentissage automatique de représentations profondes pour l'analyse du mouvement humain) PhD Theses 2016 (1); by Natalia Neverova
2016	Analyzing Phenotypes in High-content Screening with Machine Learning PhD Theses 2016 (1); by Lee Zamparo
2016	Novel Machine Learning Models for Identification, Characterization and Prioritization of Phenotype-Genotype Associations PhD Theses 2016 (1); by Recep Colak
2016	Finding patterns in features and observations: new machine learning models with applications in computational criminology, marketing, and medicine PhD Theses 2016 (1); by Tong Wang
2016	Bio-inspired machine learning techniques applied to reservoir rocks study PhD Theses 2016 (1); by Michelle Kuroda
2016	Machine learning and coresets for automated real-time data segmentation and summarization PhD Theses 2016 (1); by Mikhail Volkov
2016	Machine learning for high-level social behaviour PhD Theses 2016 (1); by Sanjay Bilakhia
2016	Imitation learning in artificial intelligence PhD Theses 2016 (1); by Alexandros Gkiokas
2016	Machine learning ensemble method for discovering knowledge from big data PhD Theses 2016 (1); by Majed Farrash
2016	A machine learning approach for plagiarism detection PhD Theses 2016 (1); by Muna Alsallal
2016	Machine learning for efficient recognition of anatomical structures and abnormalities in biomedical images PhD Theses 2016 (1); by Zhongliu Xie
2016	Deep learning models of biological visual information processing PhD Theses 2016 (1); by Diána Turcsány
2016	Deep learning and interpolation for featured-based pattern classification PhD Theses 2016 (1); by Yongfeng Zhang
2016	Predicting the absorption rate of chemicals through mammalian skin using machine learning algorithms PhD Theses 2016 (1); by Parivash Ashrafi
2016	Semantic content-based image retrieval using compact multifeatures and deep learning PhD Theses 2016 (1); by Ahmad AlZu'bi
2016	Machine learning techniques for implicit interaction using mobile sensors PhD Theses 2016 (1); by Mohammad Faizuddin Md Noor
2016	Automated algorithmic trading: machine learning and agent-based modelling in complex adaptive financial markets PhD Theses 2016 (1); by Ash Booth
2016	Performance modelling and optimization for video-analytic algorithms in a cloud-like environment using machine learning PhD Theses 2016 (1); by Manal N. K. Al-Rawahi
2016	System-level power management using online machine learning for prediction and adaptation PhD Theses 2016 (1); by Luis Alfonso Maeda-Nunez
2016	Deep learning for automated sleep monitoring PhD Theses 2016 (1); by Orestis Tsinalis
2016	Markowitz minimum variance portfolio optimization using new machine learning methods PhD Theses 2016 (1); by Oluwatoyin Abimbola Awoye
2016	Applying artificial intelligence and machine learning techniques to create varying play style in artificial game opponents PhD Theses 2016 (1); by Nicholas Sephton
2016	Integrating local information for inference and optimization in machine learning PhD Theses 2016 (1); by Zhanxing Zhu
2016	Applied machine learning for systematic equities trading: trend detection, portfolio construction and order execution PhD Theses 2016 (1); by Mininder Sethi
2016	Building robust real-time game AI: simplifying & automating integral process steps in multi-platform design PhD Theses 2016 (1); by Swen E. Gaudl
2016	Machine learning applications in generative design PhD Theses 2016 (1); by Kate Reed
2016	Modelling atmospheric ozone concentration using machine learning algorithms PhD Theses 2016 (1); by Eman S. Al-Abri
2016	Visual recognition in art using machine learning PhD Theses 2016 (1); by Elliott Joseph Crowley
2016	Machine Learning Methods in Biomarker Analysis and its Application on Mobile Devices PhD Theses 2016 (1); by Luca Szegletes
2016	Motion optimization and control for multiple mobile robots using artificial intelligence approach PhD Theses 2016 (1); by Bashra Kadhim Chabor Alwawi
2016	A machine learning perspective on repeated measures: Gaussian process panel and person-specific EEG modeling PhD Theses 2016 (1); by Julian D. Karch
2016	Immersive Interactive Data Mining and Machine Learning Algorithms for Big Data Visualization PhD Theses 2016 (1); by Mohammadreza Babaee
2016	Deep learning of multimodal representations PhD Theses 2016 (1); by Cheng Wang
2016	An Automatic Representation Optimization and Model Selection Framework for Machine Learning PhD Theses 2016 (1); by Fabian Bürger
2016	Wind Power Prediction with Machine Learning Ensembles PhD Theses 2016 (1); by Justin Heinermann
2016	Machine learning through exploration for perception-driven robotics = Machinelles Lernen in der Perzeptions-basierte Robotik PhD Theses 2016 (1); by Herke van Hoof
2016	Matrix product state decomposition in machine learning and signal processing PhD Theses 2016 (1); by Bahram Jozi, Johann A. Bengua
2016	Generalization and simplification in machine learning PhD Theses 2016 (1); by Shay Moran
2016	New techniques of artificial intelligence and data transformation for boosting classification algorithms performance, Νέες τεχνικές τεχνητής νοημοσύνης και μετασχηματισμού δεδομένων για την αύξηση απόδοσης αλγορίθμων ταξινόμησης PhD Theses 2016 (1); by Theodoros Iliou
2016	Large scale data mining via parallel and distributed neural networks and machine learning schemes PhD Theses 2016 (1); by Yiannis Kokkinos
2016	Optimized heuristic applications (algorithms) in multi-agency artificial intelligence systems PhD Theses 2016 (1); by Christos Drosos
2016	Machine Learning for Designing Fast Quantum Gates PhD Theses 2016 (1); by Ehsan Zahedinejad
2016	Evaluation of Supervised Machine Learning for Classifying Video Traffic PhD Theses 2016 (1); by Farrell R. Taylor
2016	Deep Learning for Experimental Physics PhD Theses 2016 (1); by Peter J. Sadowski
2016	Automatické strojové metody získávání znalostí z multimediálních dat ; Automatic Machine Learning Methods for Multimedia Data Analysis PhD Theses 2016 (1); by Jan Masek
2016	Machine Learning Multi-Stage Classification and Regression in the Search for Vector-like Quarks and the Neyman Construction in Signal Searches PhD Theses 2016 (1); by Robert Matthew Leone
2016	Machine Learning for High Throughput Genomic Data Analysis PhD Theses 2016 (1); by Yi Li
2016	Machine Learning for Tract Segmentation in dMRI data PhD Theses 2016 (1); by Nguyen Thien Bao
2016	Distributed Machine Learning with Communication Constraints PhD Theses 2016 (1); by Yuchen Zhang
2016	Numerical Optimization Methods for Image Processing and Machine Learning PhD Theses 2016 (1); by Joseph Woodworth
2016	Poboljšanje postupaka za predviđanje programskih neispravnosti zasnovano na strojnom učenju ; Improvement of software defect prediction methods based on machine learning PhD Theses 2016 (1); by Goran Mausa
2016	Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems PhD Theses 2016 (1); by Besmira Nushi
2016	Non-convex Optimization in Machine Learning: Provable Guarantees Using Tensor Methods PhD Theses 2016 (1); by Majid Janzamin
2016	End-to-End Large Scale Machine Learning with KeystoneML PhD Theses 2016 (1); by Evan Randall Sparks
2016	Image Analysis and Deep Learning for Applications in Microscopy PhD Theses 2016 (1); by Omer Ishaq
2016	Human Face Identification and Face Attribute Prediction: From Gabor Filtering to Deep Learning PhD Theses 2016 (1); by Yang Zhong
2016	Machine Learning Methods for Brain Image Analysis PhD Theses 2016 (1); by Ahmed Fakhry
2016	Machine Learning, Optimization, and Anti-Training with Sacrificial Data PhD Theses 2016 (1); by Michael L. Valenzuela
2016	Machine Learning Approaches to Provide Spatio-Temporal Characterization of Human Functional Activities PhD Theses 2016 (1); by Nader Karamzadeh
2016	Machine Learning Methods for Medical and Biological Image Computing PhD Theses 2016 (1); by Rongjian Li
2016	Big Data Analysis of Bacterial Inhibitors in Parallelized Cellomics - A Machine Learning Approach PhD Theses 2016 (1); by Robert P. Trevino
2016	Visual Representations and Models: From Latent SVM to Deep Learning PhD Theses 2016 (1); by Hossein Azizpour
2016	Machine Learning from Computer Simulations with Applications in Rail Vehicle Dynamics and System Identification PhD Theses 2016 (1); by Mehdi Taheri
2016	Towards Ambient Intelligent Applications Using Models@run.time And Machine Learning For Context-Awareness PhD Theses 2016 (1); by Assaad Moawad
2016	Data-Driven Cyber-Physical Systems via Real-Time Stream Analytics and Machine Learning PhD Theses 2016 (1); by Ilge Akkaya
2016	Identification of CIS-regulatory Modules and non-coding variation using Machine Learning Methods ; Identificatie van CIS-regulatorische Modules en niet-Coderende Variatie Door middel van Machine Learning methodes PhD Theses 2016 (1); by Dmitry Svetlichnyy
2016	Machine learning and dynamic programming algorithms for motion planning and control PhD Theses 2016 (1); by Oktay Arslan
2016	Machine learning approaches towards holistic brain functional space discovery from fMRI big data PhD Theses 2016 (1); by Xiang Li
2016	Taming Evasions in Machine Learning Based Detection Pipelines PhD Theses 2016 (1); by Alex Kantchelian
2016	Exploiting machine learning for combinatorial problem solving and optimisation PhD Theses 2016 (1); by Barry Hurley
2016	Computational modelling of expressive music performance in jazz guitar: a machine learning approach PhD Theses 2016 (1); by Sergio I. Giraldo
2016	Elektronik burun verilerinin yapay zeka tabanlı algoritmalarla sınıflandırılması (Classification of e-nose data by using artificial intelligence-based algorithms) PhD Theses 2016 (1); by M. Fatih Adak
2016	Prediction of carbon nanotube atomic coordinates based on machine learning algorithms (Karbon nanotüp atomik koordinatlarının makine öğrenmesi algoritmaları tabanlı tahmini) PhD Theses 2016 (1); by Mehmet Aci
2016	Keratokonus hastalığının yapay zekâ teknikleriyle teşhis edilmesi (Diagnosing keratoconus disease with artificial intelligence techniques) PhD Theses 2016 (1); by Murat Uçar
2016	Using machine learning techniques to enhance teaching and performance prediction of students with autism spectrum disorders (Yapay öğrenme yöntemleri ile otizm spektrum bozukluğu olan öğrencilerin öğretiminin ve öğretim performansı tahmininin iyileştirilmesi) PhD Theses 2016 (1); by Akram M. M. Radwan
2016	Görüş sınıflandırma için makine öğrenmesi algoritmalarına dayalı bir yöntem tasarımı ve gerçekleştirimi (The design and implementation of a method for opinion classification based on machine learning algorithms) PhD Theses 2016 (1); by Aytug Onan
2016	Korteks tabanlı imge gösterim kapasitelerinin uzamsal dönüşümler ve makine öğrenmesi yöntemleriyle ölçülmesi (Measuring capacity of cortex based image representations using spatial transformations and machine learning methods) PhD Theses 2016 (1); by M. Erdem Isenkul
2016	Machine learning approach to create intelligent decision-maker system (Akıllı karar verme sistemleri oluşturmak için makine öğrenimi yaklaşımı) PhD Theses 2016 (1); by Gözde Bakirli
2016	Digital forensics meets complexity theory and artificial intelligence PhD Theses 2016 (1); by Raffaele Olivieri
2016	Compiler autotuning using machine learning techniques PhD Theses 2016 (1); by Amir H. Ashouri

Software Engineering / GOTO Conference Videos (FREE)

2016	Automating Data Integration with Machine Learning GOTO Conference Videos (FREE) 2016; by Nataliia Rummele
2016	Intelligence Amplification with Artificial Intelligence GOTO Conference Videos (FREE) 2016; by Daniel Harrison
2016	TensorFlow & Deep Learning, without a PhD GOTO Conference Videos (FREE) 2016; by Martin Grner
2016	Machine Learning with Google Cloud Platform GOTO Conference Videos (FREE) 2016; by Kaz Sato
2016	Fixing the Image Problems of the Web using Machine Learning GOTO Conference Videos (FREE) 2016; by Christian Heilmann
2016	Discovering Research Ideas Using Semantic Vectors & Machine Learning GOTO Conference Videos (FREE) 2016; by Mads Rydahl
2016	Deep Learning - What is it and What It Can Do For You GOTO Conference Videos (FREE) 2016; by Diogo Moitinho de Almeida

2015 (102)

Computing (general) / Communications of the ACM

2015	Rise of concerns about AI: reflections and directions Communications of the ACM 2015 (10); by Thomas G. Dietterich, Eric Horvitz
2015	Natural language translation at the intersection of AI and HCI Communications of the ACM 2015 (9); by Spence Green, Jeffrey Heer, Christopher D. Manning
2015	Commonsense reasoning and commonsense knowledge in artificial intelligence Communications of the ACM 2015 (9); by Ernest Davis, Gary Marcus
2015	Growing pains for deep learning Communications of the ACM 2015 (7); by Chris Edwards

Software Engineering / ACM queue (FREE)

2015	Natural Language Translation at the Intersection of AI and HCI ACM queue (FREE) 2015 (6); by Spence Green, Jeffrey Heer, Christopher D. Manning

Computing (general) / PhD Theses

2015	High performance and error resilient probabilistic inference system for machine learning PhD Theses 2015 (1); by Jungwook Choi
2015	Shallow and deep learning for audio and natural language processing PhD Theses 2015 (1); by Po-Sen Huang
2015	Formal methods paradigms for estimation and machine learning in dynamical systems PhD Theses 2015 (1); by Austin Jones
2015	Matrix sampling algorithms for topics in machine learning PhD Theses 2015 (1); by Saurabh Paul
2015	Scalable Machine Learning for Visual Data PhD Theses 2015 (1); by Xinnan Yu
2015	Machine Learning from Human Preferences and Choices PhD Theses 2015 (1); by Karthik Raman
2015	Overcoming uncertainty for within-network relational machine learning PhD Theses 2015 (1); by Joseph J. Pfeiffer III
2015	Stability of machine learning algorithms PhD Theses 2015 (1); by Will Wei Sun
2015	Kernel-based machine learning for tracking and environmental monitoring in wireless sensor networks. (Méthodes à noyaux pour le suivi de cibles et la surveillance de l'environnement dans les réseaux de capteurs) PhD Theses 2015 (1); by Sandy Mahfouz
2015	Classification des logiciels malveillants basée sur le comportement à l'aide de l'apprentissage automatique en ligne. (Behavior based malware classification using online machine learning) PhD Theses 2015 (1); by Abdurrahman Pektas
2015	Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques) PhD Theses 2015 (1); by Ján Margeta
2015	Apprentissage de représentations et robotique développementale : quelques apports de l'apprentissage profond pour la robotique autonome. (Representation learning and developmental robotics : on the use of deep learning for autonomous robots) PhD Theses 2015 (1); by Alain Droniou
2015	Structured machine learning methods for microbiology : mass spectrometry and high-throughput sequencing. (Méthodes d'apprentissage structuré pour la microbiologie : spectrométrie de masse et séquençage haut-débit) PhD Theses 2015 (1); by Kevin Vervier
2015	Deep Learning Approaches to Problems in Speech Recognition, Computational Chemistry, and Natural Language Text Processing PhD Theses 2015 (1); by George E. Dahl
2015	Exploring Deep Learning Methods for Discovering Features in Speech Signals PhD Theses 2015 (1); by Navdeep Jaitly
2015	Analysis of machine learning algorithms on bioinformatics data of varying quality PhD Theses 2015 (1); by Ahmad Abu Shanab
2015	Text automatic classification through machine learning based on networks PhD Theses 2015 (1); by Rafael Geraldeli Rossi
2015	Supervised machine learning models using kernel methods, probability measures and fuzzy sets PhD Theses 2015 (1); by Jorge Luis Guevara Díaz
2015	Machine learning techniques for alleviating inherent difficulties in bioinformatics data PhD Theses 2015 (1); by David J. Dittman
2015	Real time detection of malicious webpages using machine learning techniques PhD Theses 2015 (1); by Shafi Ahmed
2015	Interpretation and mining of statistical machine learning (Q)SAR models for toxicity prediction PhD Theses 2015 (1); by Samuel J. Webb
2015	Behaviour based anomaly detection system for smartphones using machine learning algorithm PhD Theses 2015 (1); by Khurram Majeed
2015	Deep learning for text spotting PhD Theses 2015 (1); by Maxwell Jaderberg
2015	Invariant object recognition: biologically plausible and machine learning approaches PhD Theses 2015 (1); by Leigh Robinson
2015	Machine learning and computer algebra PhD Theses 2015 (1); by Zongyan Huang
2015	Adaptive parallelism mapping in dynamic environments using machine learning PhD Theses 2015 (1); by Murali Krishna Emani
2015	Rule based systems for classification in machine learning context PhD Theses 2015 (1); by Han Liu
2015	Machine learning techniques for high dimensional data PhD Theses 2015 (1); by Yuan Chi
2015	Systematic trading : calibration advances through machine learning PhD Theses 2015 (1); by Sergio Alvarez Teleña
2015	Structuring lute tablature and MIDI data : machine learning models for voice separation in symbolic music representations PhD Theses 2015 (1); by Reinier de Valk
2015	Electroencephalogram machine learning to assist diagnosis and treatment of epilepsy PhD Theses 2015 (1); by Yuedong Song
2015	Machine performance and condition monitoring using motor operating parameters through artificial intelligence techniques PhD Theses 2015 (1); by Mabrouka Baqqar
2015	Using unsupervised machine learning for fault identification in virtual machines PhD Theses 2015 (1); by Chris Schneider
2015	Computer vision and machine learning for microscopy image analysis PhD Theses 2015 (1); by Carlos Arteta
2015	Machine learning for improving heuristic optimisation PhD Theses 2015 (1); by Shahriar Asta
2015	Modelling decision making under uncertainty : machine learning and neural population techniques PhD Theses 2015 (1); by Elaine Duffin
2015	Heuristically guided constraint satisfaction for AI planning PhD Theses 2015 (1); by Mark Judge
2015	Systems for Personalization of Hearing Instruments:A Machine Learning Approach PhD Theses 2015 (1); by Jens Brehm Nielsen
2015	A flexible framework for solving constrained ratio problems in machine learning PhD Theses 2015 (1); by Thomas Bühler
2015	Development and Evaluation of AI-based Parkinson's Disease Related Motor Symptom Detection Algorithms PhD Theses 2015 (1); by Claas Ahlrichs
2015	Data restructuring as formal preprocessing for machine learning with neural networks PhD Theses 2015 (1); by Sven Arnhold
2015	Machine learning techniques for neurotechnology with applications for healthy users and patients PhD Theses 2015 (1); by Johannes Höhne
2015	Machine learning and statistical methods for preclinical omics data analysis PhD Theses 2015 (1); by Johannes Eichner
2015	Development and Interpretation of Machine Learning Models for Drug Discovery PhD Theses 2015 (1); by Jenny Balfer
2015	On the application of machine learning approaches in astronomy: exploring novel representations of high-dimensional and complex astronomical data PhD Theses 2015 (1); by Sven Dennis Kügler
2015	When in doubt ask the crowd: leveraging collective intelligence for improving event detection and machine learning PhD Theses 2015 (1); by Mihai Georgescu
2015	Optimizing 802.11 wireless communications with machine learning PhD Theses 2015 (1); by Óscar Puñal Ostos
2015	Improving Variable Selection and Mammography-based Machine Learning Classifiers for Breast Cancer CADx PhD Theses 2015 (1); by Noel Pérez Pérez
2015	On Improving Operational Planning and Control in Public Transportation Networks using Streaming Data: A Machine Learning Approach PhD Theses 2015 (1); by Luís Moreira-Matias
2015	Machine learning algorithms and robustness PhD Theses 2015 (1); by Mariano Schain
2015	Advanced machine learning techniques for connectivity and real-time analysis of neural and social networks PhD Theses 2015 (1); by Zack Dvey-Aharon
2015	Machine learning for intelligent agents PhD Theses 2015 (1); by Nikolaos Tziortziotis
2015	Deep Learning for Semantic and Syntactic Structures PhD Theses 2015 (1); by Richard Billingsley
2015	Mathematical models for biological networks and machine learning with applications PhD Theses 2015 (1); by Yushan Qiu
2015	Improving Engagement Assessment by Model Individualization and Deep Learning PhD Theses 2015 (1); by Feng Li
2015	Automated Analysis of Histological Images Using Machine Learning and Image Processing Techniques ; Automatische analyse van histologische afbeeldingen met machinaal leren en beeldverwerkingstechnieken PhD Theses 2015 (1); by Thomas Janssens
2015	Challenges and Outlook in Machine Learning-based Malware Detection for Android PhD Theses 2015 (1); by Kevin Allix
2015	Utilizing Machine Learning for Filtering General Monte Carlo Noise PhD Theses 2015 (1); by Nima Khademi Kalantari
2015	Financial Fraud Detection and Data Mining of Imbalanced Databases using State Space Machine Learning PhD Theses 2015 (1); by Deitra Sawh
2015	Machine Learning on Belgian Health Expenditure Data: Data-driven Screening for Type 2 Diabetes; Machine learning op Belgische ziekenfondsgegevens: data-gedreven screening voor type 2 diabetes PhD Theses 2015 (1); by Marc Claesen
2015	Machine Learning and Optimization for Neural Circuit Reconstruction PhD Theses 2015 (1); by Jeremy B. Maitin-Shepard
2015	Robust Optimization and Data Approximation in Machine Learning PhD Theses 2015 (1); by Gia Vinh Anh Pham
2015	Processing information about biomolecules with text mining and machine learning approaches PhD Theses 2015 (1); by Kersten Döring
2015	Essence: Machine Learning Approaches to Scalable and Energy Efficient Sense-making for Internet-of-Things (IoT) PhD Theses 2015 (1); by Frank Sjöberg, Santanu Sarma
2015	Modelling input texts: from Tree Kernels to Deep Learning PhD Theses 2015 (1); by Aliaksei Severyn
2015	A Novel Flavour Tagging Algorithm using Machine Learning Techniques and a Precision Measurement of the B0-AntiB0 Oscillation Frequency at the LHCb Experiment PhD Theses 2015 (1); by Katharina Kreplin
2015	Building real-time unconstrained eye tracking with deep learning PhD Theses 2015 (1); by Kyle Krafka
2015	Machine learning in neuroimaging: methodological investigations and applications to fMRI PhD Theses 2015 (1); by Ekaterina I. Lomakina
2015	Meta-RaPS Hybridization with Machine Learning Algorithms PhD Theses 2015 (1); by Fatemah Al-Duoli
2015	Document and Natural Image Applications of Deep Learning PhD Theses 2015 (1); by Le Kang
2015	Individual-Based Modeling and Data Analysis of Ecological Systems Using Machine Learning Techniques PhD Theses 2015 (1); by Morteza Mashayekhi
2015	Optimal Integration of Machine Learning Models: A Large-Scale Distributed Learning Framework with Application to Systematic Prediction of Adverse Drug Reactions PhD Theses 2015 (1); by Che Ngufor
2015	Scalable Platform for Malicious Content Detection Integrating Machine Learning and Manual Review PhD Theses 2015 (1); by Bradley Miller
2015	Machine learning in multiscale modeling and simulations of molecular systems PhD Theses 2015 (1); by Behrooz Hashemian
2015	New signal processing and machine learning methods for EEG data analysis of patients with Alzheimer's disease PhD Theses 2015 (1); by Esteve Gallego-Jutglà
2015	Machine Learning in Scientometrics PhD Theses 2015 (1); by Alfonso Ibáñez
2015	Sınıflandırmaya dayalı makine öğrenmesi teknikleri ve kardiyolojik risk değerlendirmesine ilişkin bir uygulama (Machine learning techniques based on classification and a study on cardiac risk assessment) PhD Theses 2015 (1); by Elif Kartal Karatas
2015	Robust machine learning methods for computational paralinguistics and multimodal affective computing (Hesaplamasal paralinguistik ve çok-kipli duyuşsal hesaplama için gürbüz yapay öğrenme yönemleri) PhD Theses 2015 (1); by Heysem Kaya
2015	Developing VO2max prediction models from non-exercise, submaximal exercise and hybrid tests using machine learning methods (Makine öğrenme yöntemleri kullanılarak egzersize dayalı olmayan, submaksimal ve hibrit test değişkenlerinden VO2max tahmin modellerinin geliştirilmesi) PhD Theses 2015 (1); by Mustafa Açikkar
2015	Development of web-based expert system with machine learning algorithms for remote diagnosis (Uzaktan teşhis için web tabanlı uzman sistemin makina öğrenme algoritma ile geliştirmesi) PhD Theses 2015 (1); by Shahriar Shamiluulu
2015	Makine öğrenmesi algoritmalarının karmaşıklık ve doygunluk analizinin bir veri kümesi üzerinde gerçekleştirilmesi (Performing a complexity and saturation analysis of machine learning algorithms on a data cluster) PhD Theses 2015 (1); by Tolga Demirhan
2015	Human activity recognition with wireless sensor networks using machine learning (Kablosuz algılayıcı ağlar ile makıne öğrenmesi kullanarak insan aktivitesi anlama) PhD Theses 2015 (1); by Hande Alemdar
2015	Yapay zeka teknikleri kullanarak kemik yaşı tespiti (Bone age determination using via artificial intelligence techniques) PhD Theses 2015 (1); by Gür Emre Güraksin
2015	İlişkili genom dizilim kümeleri arasındaki bağıntıların analizi için yapay öğrenme yöntemleri (Machine learning methods for analysing correlations among sets of related genome sequences) PhD Theses 2015 (1); by Nazife Çevik
2015	Makine öğrenmesi yöntemleriyle bel bölgesi rahatsızlıklarının tanısı (Diagnosis of lumbar disease by using machine learning techniques) PhD Theses 2015 (1); by Yavuz Unal
2015	MR görüntüleri ve MR spektroskopi verileri ile yapay öğrenme tabanlı beyin tümörü tespit yöntemi ve uygulaması (Design and application of novel methods for brain tumor detection using machine learning approaches on MR images and MR spectroscopy data) PhD Theses 2015 (1); by Emre Dandil
2015	Artificial Intelligence in Video Games: Towards a Unified Framework PhD Theses 2015 (1); by Firas Safadi
2015	Solving Real-Life Hydroinformatics Problems with Operations Research and Artificial Intelligence PhD Theses 2015 (1); by Andrea Peano
2015	Syntax-based machine translation using dependency grammars and discriminative machine learning PhD Theses 2015 (1); by Antonio Valerio Miceli Barone

Software Engineering / GOTO Conference Videos (FREE)

2015	Functional Programming & Scala: The Killer Combo for Machine Learning GOTO Conference Videos (FREE) 2015; by Marek Kolodziej
2015	Reactive Machine Learning & Functional Programming GOTO Conference Videos (FREE) 2015; by Jeffrey Smith
2015	Modern Fraud Prevention Using Deep Learning GOTO Conference Videos (FREE) 2015; by Phil Winder
2015	Scalable Data Science & Deep Learning with H2O GOTO Conference Videos (FREE) 2015; by Arno Candel

Enterprise Computing / IEEE IT Professional

2015	Cognitive Computing, Analytics, and Personalization IEEE IT Professional 2015 (4); by Seth Earley
2015	Executive Roundtable Series: Machine Learning and Cognitive Computing IEEE IT Professional 2015 (4); by Seth Earley
2015	Analytics, Machine Learning, and the Internet of Things IEEE IT Professional 2015 (1); by Seth Earley

Computing (specialised) / IEEE Intelligent Systems

2015	AI Ethics: Science Fiction Meets Technological Reality IEEE Intelligent Systems 2015 (3); by Daniel Zeng

2014 (81)

Computing (general) / Communications of the ACM

2014	Exploratory engineering in artificial intelligence Communications of the ACM 2014 (9); by Luke Muehlhauser, Bill Hibbard

Computing (specialised) / IEEE Intelligent Systems

2014	An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI IEEE Intelligent Systems 2014 (6); by Joel Lehman, Jeff Clune, Sebastian Risi
2014	From Artificial Intelligence to Cyborg Intelligence IEEE Intelligent Systems 2014 (5); by Daniel Zeng, Zhaohui Wu
2014	Embedding AI and Crowdsourcing in the Big Data Lake IEEE Intelligent Systems 2014 (5); by Daniel E. O'Leary
2014	Machine Learning for Nanomaterial Toxicity Risk Assessment IEEE Intelligent Systems 2014 (3); by Jeremy M. Gernand, Elizabeth A. Casman
2014	Supporting Global Collective Intelligence via Artificial Intelligence IEEE Intelligent Systems 2014 (2); by Daniel Zeng, Wenji Mao

Computing (general) / PhD Theses

2014	Hierarchical Convolutional Deep Learning in Computer Vision PhD Theses 2014 (1); by Matthew D. Zeiler
2014	Quantum algorithms for linear algebra and machine learning PhD Theses 2014 (1); by Anupam Prakash
2014	Distinguishing between Different Mechanisms of Network Evolution using Network Motifs and Machine Learning PhD Theses 2014 (1); by Manojit Nandi
2014	Recursive deep learning for natural language processing and computer vision PhD Theses 2014 (1); by Richard Socher
2014	Machine Learning based Attacks and Defenses in Computer Security: Towards Privacy and Utility Balance in Emerging Technology Environments PhD Theses 2014 (1); by Miro Enev
2014	Machine Learning on Graphs PhD Theses 2014 (1); by David J. Eis
2014	A Deep Learning Pipeline for Image Understanding and Acoustic Modeling PhD Theses 2014 (1); by Pierre Sermanet
2014	Selected machine learning reductions PhD Theses 2014 (1); by Anna Choromanska
2014	Statistical error compensation for robust digital signal processing and machine learning PhD Theses 2014 (1); by Eric P. Kim
2014	Mécanismes d'apprentissage développemental et intrinsèquement motivés en intelligence artificielle : étude des mécanismes d'intégration de l'espace environnemental. (Developmental and intrinsically motivated learning mechanisms in artificial intelligence : study of environmental space integration mechanisms) PhD Theses 2014 (1); by Simon L. Gay
2014	Apprentissage artificiel appliqué à la prévision de trajectoire d'avion. (Machine Learning Applied to Aircraft Trajectory Prediction) PhD Theses 2014 (1); by Richard Alligier
2014	Online machine learning methods for visual tracking. (Algorithmes d'apprentissage en ligne pour le suivi visuel) PhD Theses 2014 (1); by Lei Qin
2014	Estimation du risque de mort subite par arrêt cardiaque a l'aide de méthodes d'apprentissage artificiel. (Risk stratification for sudden cardiac death based on machine learning) PhD Theses 2014 (1); by Charles-Henri Cappelaere
2014	Machine Learning Strategies for Large-scale Taxonomies. (Strategies d'apprentissage pour la classification dans les grandes taxonomies) PhD Theses 2014 (1); by Rohit Babbar
2014	DC programming and DCA for some classes of problems in machine learning and data mining. (La programmation DC et DCA pour certaines classes de problèmes en apprentissage et fouille de donées [i.e. données]) PhD Theses 2014 (1); by Manh Cuong Nguyen
2014	A Multilinear (Tensor) Algebraic Framework for Computer Graphics, Computer Vision and Machine Learning PhD Theses 2014 (1); by M. Alex O. Vasilescu
2014	Remodeling Planning Domains Using Macro Operators and Machine Learning PhD Theses 2014 (1); by Maher A. Alhossaini
2014	Machine learning with privileged information: approaches for hierarchical text clustering (Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos) PhD Theses 2014 (1); by Ricardo Marcondes Marcacini
2014	Reducing the interaction effort in digital image segmentation through machine learning (Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional) PhD Theses 2014 (1); by Bruno Klava
2014	Automatic simple term extraction based on machine learning PhD Theses 2014 (1); by Merley da Silva Conrado Laguna
2014	Deep learning for attribute inference, parsing, and recognition of face PhD Theses 2014 (1); by Ping Luo
2014	Multi-label machine learning: exploring label dependency and active learning PhD Theses 2014 (1); by Everton Alvares Cherman
2014	Mobile application of artificial intelligence to vital signs monitoring : multi parametric, user adaptable model for ubiquitous well-being monitoring PhD Theses 2014 (1); by Jacek Lewandowski
2014	Computational aspects of cellular intelligence and their role in artificial intelligence PhD Theses 2014 (1); by Claire E. Gerrard
2014	Machine learning and sentiment analysis approaches for the analysis of Parliamentary debates PhD Theses 2014 (1); by Zaher Salah
2014	Machine learning for automatic analysis of affective behaviour PhD Theses 2014 (1); by Mihalis Nicolaou
2014	Applying artificial intelligence techniques to data distribution PhD Theses 2014 (1); by J. O'Neill
2014	Distributed online machine learning for mobile care systems PhD Theses 2014 (1); by Hans Prueller
2014	An artificial intelligence framework for investigative reasoning PhD Theses 2014 (1); by Ramin Ramezani
2014	Machine learning based data pre-processing for the purpose of medical data mining and decision support PhD Theses 2014 (1); by Mohammed Mostafizur Rahman
2014	Self organising map machine learning approach to pattern recognition for protein secondary structures and robotic limb control PhD Theses 2014 (1); by Vincent Austin Hall
2014	The coaching-machine learning interface : indoor rowing PhD Theses 2014 (1); by John Simon Fothergill
2014	Quantitative planetary image analysis via machine learning PhD Theses 2014 (1); by Paul David Tar
2014	Machine Learning-based Extraction of Keyphrases and its Applications in Multiple Domains PhD Theses 2014 (1); by Gábor Berend
2014	Analysis and design of machine learning techniques: evolutionary solutions for regression, prediction, and control problems PhD Theses 2014 (1); by Patrick O. Stalph
2014	Interpretable Machine Learning Models for Mining Chemical Databases PhD Theses 2014 (1); by Lars Rosenbaum
2014	Reliable on-line machine learning for regression tasks in presence of uncertainties PhD Theses 2014 (1); by Andreas Buschermöhle
2014	Generative solver construction for machine learning problems PhD Theses 2014 (1); by Jens K. Müller
2014	On cognitive aspects of human-level artificial intelligence PhD Theses 2014 (1); by Tarek Richard Besold
2014	Machine learning methods for fuzzy pattern tree induction PhD Theses 2014 (1); by Robin Senge
2014	A framework for machine learning based mapping of concurrent applications to parallel architectures PhD Theses 2014 (1); by Dirk Tetzlaff
2014	Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and Machine Learning Techniques PhD Theses 2014 (1); by Maher Salem
2014	Machine Learning for Adaptive Multi-Core Machines PhD Theses 2014 (1); by Noel Lopes
2014	Machine learning algorithms with applications in finance PhD Theses 2014 (1); by Eyal Gofer
2014	AI-maximal independent families and some results on weakly pseudocompact spaces PhD Theses 2014 (1); by Alejandro Dorantes Aldama
2014	From Big Data to Artificial Intelligence: Approaches and Applications to Enhance the Methodological Repertoire of Management Research PhD Theses 2014 (1); by Efe Aksuyek
2014	Incremental organ segmentation with machine learning techniques : application to radiotherapy PhD Theses 2014 (1); by Guillaume Bernard
2014	From HPSG-based Persian Treebanking to Parsing (Machine Learning for Data Annotation) (Von HPSG-basiertem Treebanking zu Parsing) (Maschinelles Lernen für die Annotation von Persischen Daten) PhD Theses 2014 (1); by Masood Ghayoomi
2014	Machine Learning-Based Parameter Validation PhD Theses 2014 (1); by Noah G. Badayos
2014	Metoda umjetne inteligencije za rudarenje podacima iz vremenskih serija iimplementacija na ljudskom EKG signalu ; Artificial intelligence method for time series data mining - implementation on the human ECG signal PhD Theses 2014 (1); by Marko Velic
2014	Foundations and Advances in Deep Learning PhD Theses 2014 (1); by Kyunghyun Cho
2014	Statistical Approaches for Big Data Analytics and Machine Learning : Data-Driven Network Reconstruction and Predictive Modeling of Time Series Biological Systems PhD Theses 2014 (1); by Farzaneh Farhangmehr
2014	Machine Learning for Large-Scale Genomics: Algorithms, Models and Applications PhD Theses 2014 (1); by Yifei Chen
2014	Convex optimization as a building block for difficult problems in machine learning PhD Theses 2014 (1); by Sharon Wulff
2014	Using Machine Learning to Automatically Plan Concrete Delivery Dispatching PhD Theses 2014 (1); by Mojtaba Maghrebi
2014	Ontology applications in systems biology: a machine learning approach PhD Theses 2014 (1); by Elma Akand
2014	Sparse machine learning models in bioinformatics PhD Theses 2014 (1); by Yifeng Li
2014	Segmentation and Classification of Multi-Sensor Data Using Artificial Intelligence Techniques PhD Theses 2014 (1); by Adel Moussa
2014	High Performance Machine Learning through Codesign and Rooflining PhD Theses 2014 (1); by Huasha Zhao
2014	Developing Profiles of Malware and User Behaviors Using Graph-Mining and Machine Learning Techniques PhD Theses 2014 (1); by Huy Nhut Hang
2014	Non-parametric Machine Learning Methods for Clustering and variable Selection PhD Theses 2014 (1); by Qian Liu
2014	A Bayesian machine learning framework for true zero-training brain-computer interfaces PhD Theses 2014 (1); by Pieter-Jan Kindermans
2014	Mathematical Optimisation Techniques in Computer Vision and Machine Learning PhD Theses 2014 (1); by Dimitri Semenovich
2014	Scaling up machine learning algorithms to handle big data PhD Theses 2014 (1); by Khalifeh Al Jadda
2014	Fast Numerical and Machine Learning Algorithms for Spatial Audio Reproduction PhD Theses 2014 (1); by Yuancheng Luo
2014	Analysis of ensemble expressive performance in string quartets: a statistical and machine learning approach PhD Theses 2014 (1); by Marco Marchini
2014	Stochastic optimization and interactive machine learning for human motion analysis PhD Theses 2014 (1); by Marcel Alcoverro
2014	Exploration of customer churn routes using machine learning probabilistic models PhD Theses 2014 (1); by David Garcia Gomez
2014	Machine learning methods for the analysis of liquid chromatography-mass spectrometry datasets in metabolomics PhD Theses 2014 (1); by Francesc Fernández-Albert
2014	Protein docking refinement using evolutionary information and artificial intelligence PhD Theses 2014 (1); by Ayse Bahar Delibas
2014	Biyoinformatik uygulamalarında makine öğrenme yöntemlerinin geliştirilmesine yönelik çok kriterli yaklaşım (Multi-criteria approach to development of machine learning methods in bioinformatics) PhD Theses 2014 (1); by Zeliha Görmez
2014	Identification of interaction sites of G protein-coupled receptors using machine learning techniques (Makine öğrenme teknikleri kullanılarak g protein-kenetli reseptörlerin etkileşim bölgelerinin tespit edilmesi) PhD Theses 2014 (1); by Mehmet Emre Sahin
2014	Yapay zeka destekli sanal laboratuvar tasarımı: Çekme deneyi uygulaması (Artificial intelligence aided virtual laboratory design: Tensile test application) PhD Theses 2014 (1); by Alper Kiraz
2014	Mamogram görüntülerinden makine öğrenmesi yöntemleri ile meme kanseri teşhisi (Breast cancer detection on mammogram images by using machine learning techniques) PhD Theses 2014 (1); by Ismail Iseri
2014	Computational Prediction of Gene Functions through Machine Learning methods and Multiple Validation Procedures PhD Theses 2014 (1); by Davide Chicco

2013 (74)

Computing (general) / Communications of the ACM

2013	Could artificial intelligence create an unemployment crisis? Communications of the ACM 2013 (7); by Martin Ford
2013	Deep learning comes of age Communications of the ACM 2013 (6); by Gary Anthes

Computing (specialised) / IEEE Intelligent Systems

2013	From Computational Thinking to AI Thinking IEEE Intelligent Systems 2013 (6); by Daniel Zeng
2013	AI's 10 to Watch IEEE Intelligent Systems 2013 (3); by Daniel Zeng
2013	Social Computing: An AI Perspective IEEE Intelligent Systems 2013 (3); by Daniel Zeng
2013	Artificial Intelligence and Big Data IEEE Intelligent Systems 2013 (2); by Daniel E. O'Leary
2013	Using Artificial Intelligence to Improve Hospital Inpatient Care IEEE Intelligent Systems 2013 (2); by Daniel B. Neill
2013	Assembling Learning Objects for Personalized Learning: An AI Planning Perspective IEEE Intelligent Systems 2013 (2); by Antonio Garrido, Eva Onaindia

Computing (specialised) / IEEE Computing in Science & Engineering

2013	Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning IEEE Computing in Science & Engineering 2013 (5); by Claire Monteleoni, Gavin A. Schmidt, Scott McQuade
2013	Machine Learning IEEE Computing in Science & Engineering 2013 (5); by Francis J. Alexander
2013	Interactive Machine Learning in Data Exploitation IEEE Computing in Science & Engineering 2013 (5); by Reid B. Porter, James Theiler, Don R. Hush
2013	Revisiting Computational Thermodynamics through Machine Learning of High-Dimensional Data IEEE Computing in Science & Engineering 2013 (5); by Srikant Srinivasan, Krishna Rajan

Computing (general) / PhD Theses

2013	Guaranteeing safe online machine learning via reachability analysis PhD Theses 2013 (1); by Jeremy H. Gillula
2013	Applications of Machine Learning to Location Data PhD Theses 2013 (1); by Berk Kapicioglu
2013	Machine Learning for Humanoid Robot Modeling and Control / PhD Theses 2013 (1); by Tingfan Wu
2013	Optimization Algorithms for Structured Machine Learning and Image Processing Problems PhD Theses 2013 (1); by Zhiwei Tony Qin
2013	Provable Algorithms for Machine Learning Problems PhD Theses 2013 (1); by Rong Ge
2013	Simulating Land Use Land Cover Change Using Data Mining and Machine Learning Algorithms PhD Theses 2013 (1); by Amin Tayyebi
2013	A Nonparametric Bayesian Perspective for Machine Learning in Partially-Observed Settings PhD Theses 2013 (1); by Ferit Akova
2013	An image analysis and machine learning approach to measuring the quality of individual colonoscopy procedures PhD Theses 2013 (1); by Mirko Arnold
2013	Acoustic Space Mapping: A Machine Learning Approach to Sound Source Separation and Localization. (Projection d'espaces acoustiques: une approche par apprentissage automatisé de la séparation et de la localisation) PhD Theses 2013 (1); by Antoine Deleforge
2013	Learning Deep Representations : Toward a better new understanding of the deep learning paradigm. (Apprentissage de représentations profondes : vers une meilleure compréhension du paradigme d'apprentissage profond) PhD Theses 2013 (1); by Ludovic Arnold
2013	Algorithmes de Poursuite Stochastiques et Inégalités de Concentration Empiriques pour l'Apprentissage Statistique. (Stochastic Pursuit Algorithms and Empirical Concentration Inequalities for Machine Learning) PhD Theses 2013 (1); by Thomas Peel
2013	Assistance à l'utilisateur novice dans le cadre du dessin de graphe à l'aide de méthodes d'apprentissage. (Assisting a novice user in drawing a graph with machine learning methods) PhD Theses 2013 (1); by Maurin Nadal
2013	Egocentric Audio-Visual Scene Analysis. A Machine Learning and Signal Processing Approach. (Analyse Égocentrique de Scènes Audio-Visuelles. Une approche par Apprentissage Automatique et Traitement du Signal) PhD Theses 2013 (1); by Xavier Alameda-Pineda
2013	Efficient Machine Learning with High Order and Combinatorial Structures PhD Theses 2013 (1); by Daniel Tarlow
2013	Machine Learning Methods and Models for Ranking PhD Theses 2013 (1); by Maksims Volkovs
2013	Machine Learning for Aerial Image Labeling PhD Theses 2013 (1); by Volodymyr Mnih
2013	An artificial intelligence approach to concatenative sound synthesis PhD Theses 2013 (1); by Noris Mohd. Norowi
2013	Semantic labelling of road scenes using supervised and unsupervised machine learning with lidar-stereo sensor fusion PhD Theses 2013 (1); by Thomas James Osgood
2013	Machine learning analysis of the cultural and cross-cultural aspects of beauty in music PhD Theses 2013 (1); by Claire Elizabeth Q
2013	Biometric face recognition using multilinear projection and artificial intelligence PhD Theses 2013 (1); by Abeer A. Mohamad Al-Shiha
2013	The application of classical conditioning to the machine learning of a commonsense knowledge of visual events PhD Theses 2013 (1); by Timothy Andrew Furze
2013	Machine learning techniques for automated analysis of facial expressions PhD Theses 2013 (1); by Ognjen Rudovic
2013	Formalisation and assessment of human and AI behaviour in games PhD Theses 2013 (1); by Hanno Hildmann
2013	Machine learning approaches for extracting protein complexes from protein-protein interaction networks PhD Theses 2013 (1); by Bingjing Cai
2013	Recognition of complex human activities in multimedia streams using machine learning and computer vision PhD Theses 2013 (1); by Ioannis Kaloskampis
2013	Analysis of MRI for knee osteoarthritis using machine learning PhD Theses 2013 (1); by Claire R. Donoghue
2013	Machine learning approach to reconstructing signalling pathways and interaction networks in biology PhD Theses 2013 (1); by Frank Dondelinger
2013	Designing machine learning ensembles: a game coalition approach PhD Theses 2013 (1); by Omar A. Alzubi
2013	Logic-based machine learning using a bounded hypothesis space : the lattice structure, refinement operators and a genetic algorithm approach PhD Theses 2013 (1); by Alireza Tamaddoni-Nezhad
2013	Automatic approaches for microscopy imaging based on machine learning and spatial statistics PhD Theses 2013 (1); by Ramin Norousi
2013	Der Einsatz von Data Mining und Machine Learning in der See-Ökosystem-Modellierung PhD Theses 2013 (1); by Marco Brey
2013	Machine learning of timed automata PhD Theses 2013 (1); by Jana Schmidt
2013	Machine Learning and Computational Mass Spectrometry for the Discovery of Metabolite Biomarkers Involved in Type 2 Diabetes PhD Theses 2013 (1); by Holger Franken
2013	Bag of Machine Learning Concepts for Visual Concept Recognition in Images PhD Theses 2013 (1); by Alexander Binder
2013	Machine learning based classification for semantic world modeling: support vector machine based decision tree for single tree level forest species mapping PhD Theses 2013 (1); by Petra Krahwinkler
2013	Machine Learning Methods for the Automatic Identification of Microorganisms from Raman Spectroscopic Data PhD Theses 2013 (1); by Michael Kemmler
2013	Robust adaptive machine learning algorithms for distributed signal processing PhD Theses 2013 (1); by Symeon Chouvardas
2013	Beyond Deep Learning: Scalable Methods and Models for Learning PhD Theses 2013 (1); by Oriol Vinyals
2013	Visual problem solving in autism, psychometrics, and AI: the case of the Raven's Progressive Matrices intelligence test PhD Theses 2013 (1); by Maithilee Kunda
2013	Syntactic foundations for machine learning PhD Theses 2013 (1); by Sooraj Bhat
2013	Automatic Algorithm Recognition Based on Programming Schemas and Beacons - A Supervised Machine Learning Classification Approach PhD Theses 2013 (1); by Ahmad Taherkhani
2013	Optimal stochastic and distributed algorithms for machine learning PhD Theses 2013 (1); by Hua Ouyang
2013	Machine Learning Techniques in Nuclear Material Detection, Drug Ranking and Video Tracking PhD Theses 2013 (1); by Yan T. Yang
2013	Machine Learning for Corporate Bankruptcy Prediction PhD Theses 2013 (1); by Qi Yu
2013	Machine learning methods for using network based information in microRNA target prediction ; MicroRNA hedef tahminlerinde ağ tabanlı bilgilerin kullanılması için makine öğrenim yöntemleri PhD Theses 2013 (1); by Merter Sualp
2013	Towards high-dimensional classification using Michigan style generic based machine learning PhD Theses 2013 (1); by Mani Abedini
2013	Non-parametric feature selection for machine learning in complex settings PhD Theses 2013 (1); by Gauthier Doquire
2013	Efficient Machine Learning Methods for Document Image Analysis PhD Theses 2013 (1); by Jayant Kumar
2013	Improving Software Maintenance using Unsupervised Machine Learning techniques PhD Theses 2013 (1); by Valerio Maggio
2013	Uncertainty and label noise in machine learning PhD Theses 2013 (1); by Benoît Frénay
2013	Structured Machine Learning for Mapping Natural Language to Spatial Ontologies (Gestructureerd machinaal leren voor het omzetten van natuurlijke taal naar ruimtelijke ontologieën) PhD Theses 2013 (1); by Parisa Kordjamshidi
2013	Face recognition by means of advanced contributions in machine learning PhD Theses 2013 (1); by Virginia Espinosa-Duro
2013	Improved self-management of datacenter systems applying machine learning PhD Theses 2013 (1); by Josep Lluís Berral
2013	Güvenlik duvarı günlüklerinin makine öğrenmesi yöntemleri ile analizi ve bir model çıkartılması (The analysis of the firewall diaries through machine learning methods and producing a model) PhD Theses 2013 (1); by Erkan Ozhan
2013	Genom çaplı ilişki çalışmaları için yapay zekâ teknikleri ile etiket snp seçimi (Tag snp selection with artificial intelligence techniques for genome-wide association studies) PhD Theses 2013 (1); by Ilhan Ilhan
2013	Makine öğrenmesi yöntemlerinin polisomnografik verilere uygulanması (Application of machine learning methods to polysomnography datas) PhD Theses 2013 (1); by Güven Çentik
2013	Makina öğrenme yöntemleriyle genom dizilim verilerinin analizi (Analysis of genome sequence data using machine learning methods) PhD Theses 2013 (1); by Ergun Gumus
2013	Improving bug triaging using machine learning techniques PhD Theses 2013 (1); by Ahmed Lamkanfi
2013	Pattern Recognition in NeuroImaging: What can machine learning classifiers bring to the analysis of functional brain imaging? PhD Theses 2013 (1); by Jessica Schrouff
2013	Machine learning of compiler heuristics for parallel architectures PhD Theses 2013 (1); by Michele Tartara
2013	Machine Learning Techniques for Document Processing and Web Security PhD Theses 2013 (1); by Enrico Sorio
2013	Machine learning and statistical methods for semiconductor industry data mining PhD Theses 2013 (1); by Domenico Bertoncelli

2012 (69)

Computing (general) / Communications of the ACM

2012	A few useful things to know about machine learning Communications of the ACM 2012 (10); by Pedro M. Domingos
2012	Machine learning and algorithms; agile development Communications of the ACM 2012 (8); by John Langford, Ruben Ortega
2012	Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence Communications of the ACM 2012 (4); by Sarvapali D. Ramchurn, Perukrishnen Vytelingum, Alex Rogers, Nicholas R. Jennings
2012	From syntax to semantics for AI Communications of the ACM 2012 (3)
2012	Better medicine through machine learning Communications of the ACM 2012 (1); by Neil Savage
2012	Artificial intelligence: past and future Communications of the ACM 2012 (1); by Moshe Y. Vardi

Computing (specialised) / IEEE Intelligent Systems

2012	A Big-Data Perspective on AI: Newton, Merton, and Analytics Intelligence IEEE Intelligent Systems 2012 (5); by Fei-Yue Wang
2012	AI and Education: Grand Challenges IEEE Intelligent Systems 2012 (5); by Judy Kay
2012	Recent Advances in AI for Computational Sustainability IEEE Intelligent Systems 2012 (4); by Douglas H. Fisher
2012	New Directions in Artificial Intelligence for Public Health Surveillance IEEE Intelligent Systems 2012 (1); by Daniel B. Neill

Computing (general) / PhD Theses

2012	Large-Scale Machine Learning for Classification and Search PhD Theses 2012 (1); by Wei Liu
2012	Lowering the Barrier to Applying Machine Learning PhD Theses 2012 (1); by Kayur Patel
2012	Kernel methods for deep learning PhD Theses 2012 (1); by Youngmin Cho
2012	Designing for Effective End-User Interaction with Machine Learning PhD Theses 2012 (1); by Saleema Amershi
2012	More like this : machine learning approaches to music similarity PhD Theses 2012 (1); by Brian McFee
2012	Reconnaissance d'Expressions Faciale 3D Basée sur l'Analyse de Forme et l'Apprentissage Automatique. (3D Facial Expressions Recognition Using Shape Analysis and Machine Learning) PhD Theses 2012 (1); by Ahmed Maalej
2012	Classification automatique pour la compréhension de la parole : vers des systèmes semi-supervisés et auto-évolutifs. (Machine learning applied to speech language understanding : towards semi-supervised and self-evolving systems) PhD Theses 2012 (1); by Pierre Gotab
2012	Approche par invariance positive et les techniques de l'intelligence artificielle pour la régulation des carrefours signalisés. (Positive invariance approach and techniques of artificial intelligence for control of signalized intersections) PhD Theses 2012 (1); by Fadi Motawej
2012	Optimisation de la performance des applications de mémoire transactionnelle sur des plates-formes multicoeurs : une approche basée sur l'apprentissage automatique. (Improving the Performance of Transactional Memory Applications on Multicores : A Machine Learning-based Approach) PhD Theses 2012 (1); by Márcio Castro
2012	Coping with the Computational and Statistical Bipolar Nature of Machine Learning PhD Theses 2012 (1); by Pierre Machart
2012	Combining evolution and machine learning for functional annotation and classification of remote homologous proteins. (Evolution et apprentissage automatique pour l'annotation fonctionnelle et la classification des homologies lointains en protéines) PhD Theses 2012 (1); by Juliana S. Bernardes
2012	Segmentation of heterogeneous document images : an approach based on machine learning, connected components analysis, and texture analysis. (Segmentation d'images hétérogènes de documents : une approche basée sur l'apprentissage automatique de données, l'analyse en composantes connexes et l'analyse de texture) PhD Theses 2012 (1); by Omid Bonakdar Sakhi
2012	Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel. (Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI) PhD Theses 2012 (1); by Gabriel Synnaeve
2012	Biométrie faciale 3D par apprentissage des caractéristiques géométriques : Application à la reconnaissance des visages et à la classification du genre. (3D facial Biometric Using Geometric Characteristics and Machine Learning : Application to face recognition and gender classification) PhD Theses 2012 (1); by Lahoucine Ballihi
2012	Enhancing Ontology Matching by Using Machine Learning, Graph Matching and Information Retrieval Techniques. (Amélioration de l'alignement d'ontologies par les techniques d'apprentissage automatique, d'appariement de graphes et de recherche d'information) PhD Theses 2012 (1); by Duy-Hoa Ngo
2012	Machine Learning Approaches to Refining Post-translational Modification Predictions and Protein Identifications from Tandem Mass Spectrometry PhD Theses 2012 (1); by Clement Chung
2012	Machine Learning Algorithms for Geometry Processing by Example PhD Theses 2012 (1); by Evangelos Kalogerakis
2012	Artificial intelligence techniques applied to the impedance-based structural health monitoring technique for monitoring damage in aircraft structures PhD Theses 2012 (1); by Lizeth Vargas Palomino
2012	Applications of machine learning in mobile communications: resources management and performance assessment (AplicaÃÃes de aprendizagem de mÃquinas Ãs comunicaÃÃes mÃveis: gerenciamento de recursos e avaliaÃÃo de desempenho) PhD Theses 2012 (1); by Elvis Miguel Galeas Stancanelli
2012	Process identification and model predictive control using artificial intelligence techniques applied to bioethanol production PhD Theses 2012 (1); by Edwin Guido Boza Condorena
2012	Machine learning methods for discriminating natural targets in seabed imagery PhD Theses 2012 (1); by Richard John Patrick Harrison
2012	A transdisciplinary study of embodiment in HCI, AI and New Media PhD Theses 2012 (1); by Hamda Darwish Ali Al-Shihi
2012	Using machine learning to determine fold class and secondary structure content from Raman optical activity and Raman vibrational spectroscopy PhD Theses 2012 (1); by Myra Kinalwa-Nalule
2012	The scheduling of manufacturing systems using Artificial Intelligence (AI) techniques in order to find optimal/near-optimal solutions PhD Theses 2012 (1); by Shahid Maqsood
2012	Machine learning and statistical approaches to analysis of wearable sensory gait data PhD Theses 2012 (1); by Mingjing Yang
2012	User profiling using machine learning PhD Theses 2012 (1); by Thomas Charles Barnard
2012	A multipolar polarisable force field method from quantum chemical topology and machine learning PhD Theses 2012 (1); by Matthew J. L. Mills
2012	Machine learning for financial market prediction PhD Theses 2012 (1); by Tristan Fletcher
2012	Website boundary detection via machine learning PhD Theses 2012 (1); by Ayesh Alshukri
2012	Two-level text classification using hybrid machine learning techniques PhD Theses 2012 (1); by Nandita Tripathi
2012	Combinatorial problems with submodular coupling in machine learning and computer vision PhD Theses 2012 (1); by Stefanie Sabrina Jegelka
2012	Machine Learning Methods in Computed Tomography Image Analysis PhD Theses 2012 (1); by Johannes Feulner
2012	Discrete optimisation in machine learning: learning of Bayesian network structures and conditional independence implication PhD Theses 2012 (1); by Silvia Lindner
2012	Visual Tracking of Multiple Humans with Machine Learning based Robustness Enhancement applied to Real-World Robotic Systems PhD Theses 2012 (1); by Suraj Nair
2012	Prediction games: machine learning in the presence of an adversary PhD Theses 2012 (1); by Michael Brückner
2012	Context-sensitive machine learning for intelligent human behavior analysis PhD Theses 2012 (1); by Martin Wöllmer
2012	Molecular Flexibility Encodings for Virtual Screening and Machine Learning PhD Theses 2012 (1); by Andreas Jahn
2012	Machine Learning for Human Motion Analysis and Gesture Recognition PhD Theses 2012 (1); by Loren Arthur Schwarz
2012	A personalized emotional intelligent tutoring system based on AI planning PhD Theses 2012 (1); by Heba Elbeh
2012	Classifiers for Discrimination of Significant Protein Residues and Protein-Protein Interaction Using Concepts of Information Theory and Machine Learning PhD Theses 2012 (1); by Roman Asper
2012	Supervised Machine Learning Methods for Item Recommendation PhD Theses 2012 (1); by Zeno Gantner
2012	Sequence function classification by machine learning methods PhD Theses 2012 (1); by Krishna Kumar Kandaswamy
2012	Novel machine learning methods for computational chemistry PhD Theses 2012 (1); by Katja Hansen
2012	Fusion of biased estimators using machine learning for time of flight estimation in the presence of outliers PhD Theses 2012 (1); by Alexander Apartsin
2012	Randomized Algorithms for Scalable Machine Learning PhD Theses 2012 (1); by Ariel Kleiner
2012	Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU) (Massive Parallelisierung der kombinatorischen statistischen Genetik-Analysen mit Methoden des maschinellen Lernens auf graphics processing units (GPU)) PhD Theses 2012 (1); by Tony Kam-Thong
2012	Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach PhD Theses 2012 (1); by Federico Cirett Galán
2012	Geometric Methods in Machine Learning and Data Mining PhD Theses 2012 (1); by Arvind Agarwal
2012	A distributed kernel summation framework for machine learning and scientific applications PhD Theses 2012 (1); by Dong-Ryul Lee
2012	Artificial intelligence in computer security: Detection, temporary repair and defense PhD Theses 2012 (1); by Arisoa S. Randrianasolo
2012	Tactile sensing: a machine learning approach PhD Theses 2012 (1); by Nawid Jamali
2012	Machine Learning Techniques with Specific Application to the Early Olfactory System PhD Theses 2012 (1); by Benjamin Auffarth
2012	A Comparative Analysis of Machine Learning Techniques For Foreclosure Prediction PhD Theses 2012 (1); by Dexter Randell Brown
2012	Reliable Machine Learning Algorithms for Intrusion Detection Systems: Machine Learning for Information Security and Digital Forensics PhD Theses 2012 (1); by Hai Thanh Nguyen
2012	Machine Learning Methods for Articulatory Data PhD Theses 2012 (1); by Jeffrey J. Berry
2012	Statistical methods with application to machine learning and artificial intelligence PhD Theses 2012 (1); by Yibiao Lu
2012	Regularization for sparsity in statistical analysis and machine learning PhD Theses 2012 (1); by Diego Vidaurre
2012	Makine öğrenmesi tabanlı bir uzman sistem tasarımı (Machine learning based an expert system design) PhD Theses 2012 (1); by Adnan Fatih Kocamaz
2012	Downscaling Aerosol Optical Thickness from Satellite Observations: Physics and Machine Learning Approaches PhD Theses 2012 (1); by Thi Nhat Thanm Nguyen

2011 (42)

Computing (general) / Communications of the ACM

2011	A new benchmark for artificial intelligence Communications of the ACM 2011 (8); by Kirk L. Kroeker
2011	Cognitive computing Communications of the ACM 2011 (8); by Dharmendra S. Modha, Rajagopal Ananthanarayanan, Steven K. Esser, Anthony Ndirango, Anthony J. Sherbondy, Raghavendra Singh

Computing (specialised) / IEEE Intelligent Systems

2011	Computing and AI for a Sustainable Future IEEE Intelligent Systems 2011 (6); by Douglas H. Fisher
2011	A Question for AAAI: Does AI Need a Reboot? IEEE Intelligent Systems 2011 (4); by Fei-Yue Wang
2011	From AI to SciTS: Team Science and Research Intelligence IEEE Intelligent Systems 2011 (3); by Fei-Yue Wang
2011	AI in Power Systems and Energy Markets IEEE Intelligent Systems 2011 (2); by Carlos Ramos, Chen-Ching Liu

Computing (specialised) / IEEE Internet Computing

2011	Adversarial Machine Learning IEEE Internet Computing 2011 (5); by J. D. Tygar

Computing (general) / IEEE Computer

2011	Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease IEEE Computer 2011 (4); by Jieping Ye, Teresa Wu, Jing Li, Kewei Chen

Other / IEEE Annals of the History of Computing

2011	Cybernetics, Automata Studies, and the Dartmouth Conference on Artificial Intelligence IEEE Annals of the History of Computing 2011 (4); by Ronald Kline

Computing (general) / PhD Theses

2011	Exploring machine learning techniques using patient interactions in online health forums to classify drug safety PhD Theses 2011 (1); by Brant Chee
2011	The digital patient: machine learning techniques for analyzing electronic health record data PhD Theses 2011 (1); by Suchi Saria
2011	Large Scale Machine Learning in Biology PhD Theses 2011 (1); by Anil Raj
2011	Machine Learning Methods for Visual Object Detection. (Apprentissage machine pour la détection des objets) PhD Theses 2011 (1); by Sibt ul Hussain
2011	Apprentissage statistique pour le signal: applications aux interfaces cerveau-machine. (Machine learning for signal processing : applications to Brain Computer Interfaces) PhD Theses 2011 (1); by Rémi Flamary
2011	Machine Learning Approaches to Biological Sequence and Phenotype Data Analysis PhD Theses 2011 (1); by Renqiang Min
2011	Online machine learning approach to multicore data structures PhD Theses 2011 (1); by Jonathan Eastep
2011	Algorithms for computational argumentation in artificial intelligence PhD Theses 2011 (1); by Vasiliki Efstathiou
2011	Layered AI architecture for team based first person shooter video games PhD Theses 2011 (1); by Philip Mike Graham
2011	Machine learning based mapping of data and streaming parallelism to multi-cores PhD Theses 2011 (1); by Zheng Wang
2011	Exploiting structure defined by data in machine learning : some new analyses PhD Theses 2011 (1); by Guy Lever
2011	Machine learning for the analysis of morphologically complex languages PhD Theses 2011 (1); by Sebastian Reiner Spiegler
2011	Machine learning in compilers PhD Theses 2011 (1); by Hugh Leather
2011	Mathematical modelling and artificial intelligence applied to statistical disclosure control PhD Theses 2011 (1); by Martin Craig Serpell
2011	Structured Kernel-based Machine Learning for Cheminformatics PhD Theses 2011 (1); by Nikolas Fechner
2011	Sparse Convex Optimization Methods for Machine Learning PhD Theses 2011 (1); by Martin Jaggi
2011	Development of an Artificial Intelligence System for the Instruction and Control of Cooperating Mobile Robots PhD Theses 2011 (1); by Praneel Chand
2011	Reliabilty-based optimization of river bridges using artificial intelligence techniques ; Akarsu köprülerinin yapay zeka tekniklerini kullanarak güvenilirlik temelli optimizasyonu PhD Theses 2011 (1); by Kamil Hakan Turan
2011	Statistical Machine Learning for Multi-platform Biomedical Data Analysis PhD Theses 2011 (1); by Li Chen
2011	Machine learning and the quantitative analysis of confocal microscopy with an application to the embryogenesis of drosophila melanogaster PhD Theses 2011 (1); by William Matthew Beaver
2011	Machine Learning to Interrogate High-throughput Genomic Data: Theory and Applications PhD Theses 2011 (1); by Guoqiang Yu
2011	Construction and adaptation of AI behaviors in computer games PhD Theses 2011 (1); by Manish Mehta
2011	Approximate universal artificial intelligence and self-play learning for games PhD Theses 2011 (1); by Joel Veness
2011	A Machine Learning-Based Information Retrieval Framework for Molecular Medicine Predictive Models PhD Theses 2011 (1); by Firas H. Wehbe
2011	Detecting cancer-Related genes and gene-gene interactions by Machine Learning Methods PhD Theses 2011 (1); by Bing Han
2011	Hyperspectral imaging and machine learning of texture foods for classification ; Dokulu gıdaların sınıflandırılmasında hiperspektral görüntüleme ve makine öğrenmesi PhD Theses 2011 (1); by Musa Atas
2011	Yeni nesil gezgin haberleşme teknolojileri için yapay zeka tabanlı dikey el değiştirme yöntemi ve uygulaması (Artificial intelligence based vertical handoff method and application for new generation mobile communication technologies) PhD Theses 2011 (1); by Ali Çalhan
2011	Yapay zeka yöntemleri ile kablosuz sensör ağlarındaki eniyileme problemlerinin çözümü (Solving wireless sensor networks optimization problems using artificial intelligence techniques) PhD Theses 2011 (1); by Tahir Emre Kalayci
2011	Özdevimli öğrenme yaklaşımı ile bilgi güvenliği risklerinin nitel değerlendirilmesine yönelik bir model (A proposed model for qualitative information security risk assessment based on machine learning) PhD Theses 2011 (1); by Mete Eminagaoglu
2011	Önsel bilgi kullanılarak tıbbi görüntülerde makine öğrenmesi tabanlı kontur bulma ve nesne konumlandırma (Machine learning based object localization and contour extraction in medical images with prior information) PhD Theses 2011 (1); by Ayse Betül Oktay
2011	Assessing and enhancing machine learning methods in IVF process: Predictive modeling of implantation and blastocyst development (Tüp bebek tedavi sürecinde yapay öğrenme yöntemleri: İmplantasyon ve blastosist gelişiminin kestirimci modellenmesi) PhD Theses 2011 (1); by Asli Uyar
2011	Web content mining with multi-source machine learning for intelligent web agents PhD Theses 2011 (1); by Moreno Carullo
2011	Machine learning in engineering applications PhD Theses 2011 (1); by Giorgio Davanzo

2010 (52)

Computing (specialised) / IEEE Intelligent Systems

2010	AI Space Odyssey IEEE Intelligent Systems 2010 (5); by Michael G. Shafto, Maarten Sierhuis
2010	AI and Security Informatics IEEE Intelligent Systems 2010 (5); by Hsinchun Chen
2010	IS: The #1 AI Publication IEEE Intelligent Systems 2010 (4); by Fei-Yue Wang
2010	AI and Opinion Mining IEEE Intelligent Systems 2010 (3); by Hsinchun Chen, David Zimbra
2010	From AI's Top 10 to Hall of Fame IEEE Intelligent Systems 2010 (3); by Fei-Yue Wang
2010	An AI-Based Break-Scheduling System for Supervisory Personnel IEEE Intelligent Systems 2010 (2); by Andreas Beer, Johannes Gärtner, Nysret Musliu, Werner Schafhauser, Wolfgang Slany

Computing (general) / PhD Theses

2010	Automating Datacenter Operations Using Machine Learning PhD Theses 2010 (1); by Peter Bodík
2010	Machine Learning Approaches to Gene Duplication and Transcription Regulation PhD Theses 2010 (1); by Huang-Wen Chen
2010	Outside the Machine Learning Blackbox: Supporting Analysts Before and After the Learning Algorithm PhD Theses 2010 (1); by Miles Munson
2010	Real-Time Traffic Modeling and Estimation with Streaming Probe Data using Machine Learning PhD Theses 2010 (1); by Vasileios Kontorinis, Ryan Herring
2010	Paramètres d'ordre et sélection de modèles en apprentissage : caractérisation des modèles et sélection d'attributs. (Order parameters and model selection in Machine Learning: model charaterization and Feature Selection) PhD Theses 2010 (1); by Romaric Gaudel
2010	Apprentissage incrémental pour la construction de bases lexicales évolutives : application en désambiguïsation d'entités nommées. (Incremental machine learning for evolving lexical databases construction: Application to named entity disambiguation) PhD Theses 2010 (1); by Thomas Girault
2010	Developing fast machine learning techniques with applications to steganalysis problems PhD Theses 2010 (1); by Yoan Miche
2010	Machine learning in complex networks PhD Theses 2010 (1); by Fabricio Aparecido Breve
2010	Predicting genetic interactions in Caenorhabditis elegans using machine learning PhD Theses 2010 (1); by Patrycja Vasilyev Missiuro
2010	3D facial feature extraction and recognition : an investigation of 3D face recognition : correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques PhD Theses 2010 (1); by Sokyna M. S. Al-Qatawneh
2010	Speed Sensorless Control for Induction Motor Drives with AI-Based MRAS PhD Theses 2010 (1); by Chao Yang
2010	Word based off-line handwritten Arabic classification and recognition : design of automatic recognition system for large vocabulary offline handwritten Arabic words using machine learning approaches PhD Theses 2010 (1); by Jawad Hasan Yasin AlKhateeb
2010	Machine learning for network based intrusion detection : an investigation into discrepancies in findings with the KDD cup '99 data set and multi-objective evolution of neural network classifier ensembles from imbalanced data PhD Theses 2010 (1); by Vegard Engen
2010	An integrated framework for solving email management problems with unsupervised machine learning techniques and artificial neural networks PhD Theses 2010 (1); by Taiwo Oladipupo Ayodele
2010	Sparse machine learning methods with applications in multivariate signal processing PhD Theses 2010 (1); by Thomas Robert Diethe
2010	Application of artificial intelligence to seismic horizon mapping : An integrated hybrid approach PhD Theses 2010 (1); by Reda Benbernou
2010	E-AI : an emotion architecture for agents in games & virtual worlds PhD Theses 2010 (1); by Stuart Slater
2010	Machine learning for the prediction of protein-protein interactions PhD Theses 2010 (1); by José Antonio Reyes
2010	Human protein function prediction : application of machine learning for integration of heterogeneous data sources PhD Theses 2010 (1); by Anna E. Lobley
2010	Machine learning techniques for applied information extraction PhD Theses 2010 (1); by Richárd Farkas
2010	Integrating machine learning approaches into network science: exemplary applications and novel algorithms PhD Theses 2010 (1); by Florian Blöchl
2010	Supervised machine learning assisted real-time flow classification system: a real-time approach to flow classification PhD Theses 2010 (1); by Isara Anantavrasilp
2010	Novel strategies on semi-supervised and unsupervised machine learning PhD Theses 2010 (1); by Amparo G. Albalate Gómez
2010	Machine teaching: a machine learning approach to technology enhanced learning PhD Theses 2010 (1); by Markus Weimer
2010	Machine learning of genomic profiles PhD Theses 2010 (1); by Falk Schubert
2010	Machine learning for text indexing: concept extraction, keyword extraction and tag recommendation PhD Theses 2010 (1); by Hendri Murfi
2010	Machine learning with Lipschitz classifiers PhD Theses 2010 (1); by André Stuhlsatz
2010	On stability in statistical machine learning (עם תקציר בעברית ושער נוסף: על יציבות בלמידה חישובית סטטיסטית.) PhD Theses 2010 (1); by Ohad Shamir
2010	Adding structural information to factor models in machine learning and computer vision (כולל שער נוסף ותקציר בעברית: הוספת מידע מבני לבעיות מרובות גורמים בלמידה חישובית וראיה ממוחשבת.) PhD Theses 2010 (1); by Amit Gruber
2010	Machine learning-based recommendation methods for multimedia data PhD Theses 2010 (1); by Aristomenis S. Lampropoulos
2010	Machine Learning Methods for Microarray Data Analysis PhD Theses 2010 (1); by Prasad Gabbur
2010	Machine Learning Algorithms for the Analysis of Data from Whole-Genome Tiling Microarrays (Maschinelle Lernmethoden zur Analyse von Tiling-Array-Daten) PhD Theses 2010 (1); by Georg Zeller
2010	Understanding Machine Learning Performance with Experiment Databases (Het verwerven van inzichten in leerperformantie met experiment databanken) ; Understanding Machine Learning Performance with Experiment Databases PhD Theses 2010 (1); by Joaquin Vanschoren
2010	Machine Learning with Dirichlet and Beta Process Priors: Theory and Applications PhD Theses 2010 (1); by John William Paisley
2010	Computer vision and machine learning methods for the analysis of brain and cardiac imagery PhD Theses 2010 (1); by Vandana Mohan
2010	Image Classification using Pair-wise Registration and Machine Learning with Applications to Neuroimaging PhD Theses 2010 (1); by Xiaojing Long
2010	Runtime estimation of backtracking satisfiability solvers: a machine learning approach PhD Theses 2010 (1); by Shai Haim
2010	Behavior of Machine Learning Algorithms in Adversarial Environments PhD Theses 2010 (1); by Blaine Nelson
2010	Kurzzeit-Prognose von PM10-Konzentrationen in der Luft unter Verwendung maschineller Lernverfahren (Short term prediction of PM10-concentrations in ambient air using machine learning techniques) PhD Theses 2010 (1); by Daniel Nicklaß
2010	Machine learning methods for prediction of disulphide bonding states of cysteine residues in proteins PhD Theses 2010 (1); by Priyank Shukla
2010	Koroner arter hastalığı ve lezyon lokalizasyonu tahminlerinde efor stres testinin yapay zeka yöntemleri ile değerlendirilmesi (Assessment of exercise stress testing with artificial intelligence methods in both the coronary artery disease and the lesion localization predictions) PhD Theses 2010 (1); by Ismail Babaoglu
2010	Localized multiple kernel algorithms for machine learning (Yapay öğrenme için yerel çoklu çekirdek algoritmaları) PhD Theses 2010 (1); by Mehmet Gönen
2010	Robotik bir mikroskop sisteminden elde edilen görüntülerin görüntü işleme ve yapay zeka yöntemleri ile analizi (Analysis of microscopic images povided by a robotic microscope system via image processing and artificial intelligence techniques) PhD Theses 2010 (1); by Nurdan Akhan Baykan
2010	Machine Learning Solution Methods for Multistage Stochastic Programming PhD Theses 2010 (1); by Boris Defourny
2010	Artificial Intelligence Techniques for Automatic Reformulation and Solution of Structured Mathematical Models PhD Theses 2010 (1); by Luis Perez Sanchez

UX & Human Factors / IEEE Computer Graphics & Applications

2010	Visual Classification: Expert Knowledge Guides Machine Learning IEEE Computer Graphics & Applications 2010 (1); by W. Joseph MacInnes, Stephanie Santosa, William Wright

2009 (47)

Computing (general) / Communications of the ACM

2009	Technical perspective - Machine learning for complex predictions Communications of the ACM 2009 (11); by John Shawe-Taylor

Computing (general) / IEEE Computer

2009	The Pervasiveness of Data Mining asnd Machine Learning IEEE Computer 2009 (8); by Naren Ramakrishnan

Computing (specialised) / IEEE Intelligent Systems

2009	AI for Global Disease Surveillance IEEE Intelligent Systems 2009 (6); by Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh T. Izadi, Aman Verma, Anna Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang
2009	AI, E-government, and Politics 2.0 IEEE Intelligent Systems 2009 (5); by Hsinchun Chen
2009	AI and Global Science and Technology Assessment IEEE Intelligent Systems 2009 (4); by Hsinchun Chen, Ronald N. Kostoff, Chaomei Chen, Jian Zhang, Michael S. E. Vogeley, Katy Börner, Nianli Ma, Russell J. Duhon, Angela Zoss, Venkat Srinivasan, Edward A. Fox, Christopher C. Yang, Chih-Ping Wei
2009	Guest Editors' Introduction: The New Frontier of Human-Level Artificial Intelligence IEEE Intelligent Systems 2009 (4); by Jacob Beal, Patrick H. Winston
2009	Using AI to Access and Experience Cultural Heritage IEEE Intelligent Systems 2009 (2); by Lynda Hardman, Lora Aroyo, Jacco van Ossenbruggen, Eero Hyvönen
2009	Progress on AI, Robotics, and Automation in Space: A Report from i-SAIRAS 08 IEEE Intelligent Systems 2009 (1); by Richard J. Doyle, Erick Dupuis, Mitsushige Oda, Jean-Claude Piedboeuf, Gianfranco Visentin
2009	AI in Greece IEEE Intelligent Systems 2009 (1); by George A. Vouros

Hardware and Microprocessor Systems / IEEE Micro

2009	Dynamic Multicore Resource Management: A Machine Learning Approach IEEE Micro 2009 (5); by José F. Martínez, Engin Ipek

Computing (general) / PhD Theses

2009	Elisa: a new system for AI-assisted logico-mathematical scientific discovery incorporating novel techniques in infinite model finding PhD Theses 2009 (1); by Andrew Shilliday
2009	Étude d'algorithmes d'apprentissage artificiel pour la prédiction de la syncope chez l'homme. (Study of machine learning algorithms for syncope prediction) PhD Theses 2009 (1); by Mathieu Feuilloy
2009	On the Formal Modeling of Games of Language and Adversarial Argumentation : A Logic-Based Artificial Intelligence Approach PhD Theses 2009 (1); by Jenny S. Z. Eriksson Lundström
2009	Classifiers and machine learning techniques for image processing and computer vision PhD Theses 2009 (1); by Anderson de Rezende Rocha
2009	Artificial generation of populations for machine learning classifiers training to glaucoma diagnosis support (Geração de populações artificiais para treinamento de classificadores de apoio ao diagnóstico de glaucoma) PhD Theses 2009 (1); by Marcelo Dias
2009	Modelling activated sludge wastewater treatment plants using artificial intelligence techniques (fuzzy logic and neural networks) PhD Theses 2009 (1); by Rabee Rustum
2009	Dynamical models and machine learning for supervised segmentation PhD Theses 2009 (1); by Tony Shepherd
2009	Machine learning of projected 3D shape PhD Theses 2009 (1); by Simon Coupe
2009	Artificial intelligence applied to speed sensorless induction motor drives PhD Theses 2009 (1); by Shady M. Gadoue
2009	Novel computationally intelligent machine learning algorithms for data mining and knowledge discovery PhD Theses 2009 (1); by Iffat A. Gheyas
2009	Collaborative adaptive filtering for machine learning PhD Theses 2009 (1); by Beth Jelfs
2009	Using machine learning to automate compiler optimisation PhD Theses 2009 (1); by John D. Thomson
2009	Protein Classification in a Machine Learning Framework PhD Theses 2009 (1); by Attila Kertész-Farkas
2009	Accent Classification from Speech Samples by Use of Machine Learning PhD Theses 2009 (1); by Amber Umair, Carol Pedersen
2009	Machine learning in drug discovery and drug design PhD Theses 2009 (1); by Timon Schroeter
2009	Kernel-based machine learning on sequence data from proteomics and immunomics PhD Theses 2009 (1); by Nico Pfeifer
2009	From differential equations to differential geometry: aspects of regularisation in machine learning PhD Theses 2009 (1); by Florian Steinke
2009	Robust learning in safety related domains: machine learning methods for solving safety related application problems PhD Theses 2009 (1); by Sebastian Nusser
2009	A domain-independent framework for intelligent recommendations based on machine learning PhD Theses 2009 (1); by Jörn David
2009	Prediction of protein structural features by machine learning methods (Vorhersage von Strukturmerkmalen in Proteinen mit Methoden der künstlichen Intelligenz) PhD Theses 2009 (1); by Andreas Kirschner
2009	Machine learning for application layer intrusion detection PhD Theses 2009 (1); by Konrad Rieck
2009	On accuracy analysis of 3D scanners, binarization and machine learning PhD Theses 2009 (1); by Ilya Blayvas
2009	Clustering and matching in graphs and hyper-graphs by tensor factorizations for computer vision and machine learning applications PhD Theses 2009 (1); by Ron Zass
2009	Machine learning for context-aware reminders and suggestions PhD Theses 2009 (1); by Patricia Shanahan
2009	Collective Machine Learning: Team Learning and Classification in Multi-Agent Systems PhD Theses 2009 (1); by Christopher M. Gifford
2009	Classification of the human swaying processes: A machine learning approach PhD Theses 2009 (1); by Jyrki Rasku
2009	Predicting and Optimizing System Utilization and Performance via Statistical Machine Learning PhD Theses 2009 (1); by Archana Ganapathi
2009	Automated biological data acquisition and integration using machine learning techniques ; Makine öğrenmesi teknikleri kullanılarak otomatikleşmiş biyolojik veri kaynaşım ve kazancı PhD Theses 2009 (1); by Levent Çarkacioglu
2009	A machine learning framework for classifying invulnerabilites [sic] and predicting exploitability PhD Theses 2009 (1); by Mehran Bozorgi
2009	Efficient Drilling Problem Detection: Early fault detection by the combination of physical models and artificial intelligence PhD Theses 2009 (1); by Roar Nybø
2009	Multi-tree Monte Carlo methods for fast, scalable machine learning PhD Theses 2009 (1); by Michael P. Holmes
2009	Machine learning algorithms for independent vector analysis and blind source separation PhD Theses 2009 (1); by In Tae Lee
2009	Incremental construction of cost-conscious ensembles using multiple learners and representations in machine learning (Yapay öğrenmede çoklu öğrenici ve gösterimleri kullanarak maliyet bilinçli kümelerin artırımlı oluşturulması) PhD Theses 2009 (1); by Aydin Ulas
2009	Yapay zekâ yöntemleri ile veri analizi ve tıbbi teşhis için uzman sistem geliştirme (Developing expert system for medical diagnosis and data analysis with artificial intelligence methods) PhD Theses 2009 (1); by Ali Keles
2009	Fizyolojik sistemlerin yapay zekâ teknikleri kullanılarak modellenmesi ve kontrolü için eğitim amaçlı bir simülatör tasarımı (Designing educational simulators for modeling and control of physiological systems by implementing artificial intelligence techniques) PhD Theses 2009 (1); by Ümit Tas
2009	Yapay zeka teknikleri ile dizel motor performansının modellenmesi ve yakıt optimizasyonu (Modelling of diesel engine performance and fuel optimisation by artificial intelligence techniques) PhD Theses 2009 (1); by Kemal Tütüncü
2009	The Emergence of Diversity and Stability: from Biological Systems to Machine Learning PhD Theses 2009 (1); by Claudio Felicioli

2008 (37)

Computing (specialised) / IEEE Intelligent Systems

2008	Machine Learning: The State of the Art IEEE Intelligent Systems 2008 (6); by Jue Wang, Qing Tao
2008	Toward a Revolution in Transportation Operations: AI for Complex Systems IEEE Intelligent Systems 2008 (6); by Fei-Yue Wang
2008	Artificial Intelligence in China IEEE Intelligent Systems 2008 (6); by Fei-Yue Wang, Ruqian Lu, Daniel Zeng
2008	AI in China: A Survey IEEE Intelligent Systems 2008 (6); by Xiao-Shan Gao, Dantong Ouyang, Ji-gui Sun, Sanjiang Li, Tian-shun Yao, Ruzhan Lu, Chun-Yi Shi, Zhangang Han, Jue Wang, Cun-gen Cao, Ruqian Lu
2008	Cassandra or False Prophet of Doom: AI Robots and War IEEE Intelligent Systems 2008 (4); by Noel E. Sharkey
2008	AI Developers: Stand Up and Be Counted! IEEE Intelligent Systems 2008 (3); by Richard Ellis
2008	AI's 10 to Watch IEEE Intelligent Systems 2008 (3); by James A. Hendler, Philipp Cimiano, Dmitri A. Dolgov, Anat Levin, Peter Mika, Brian Milch, Louis-Philippe Morency, Boris Motik, Jennifer Neville, Erik B. Sudderth, Luis von Ahn
2008	Avoiding Another AI Winter IEEE Intelligent Systems 2008 (2); by James A. Hendler
2008	Cheek to Chip: Dancing Robots and AI's Future IEEE Intelligent Systems 2008 (2); by Jean-Julien Aucouturier, Katsushi Ikeuchi, Hirohisa Hirukawa, Shinichiro Nakaoka, Takaaki Shiratori, Shunsuke Kudoh, Fumio Kanehiro, Tetsuya Ogata, Hideki Kozima, Hiroshi G. Okuno, Marek P. Michalowski, Yuta Ogai, Takashi Ikegami, Kazuhiro Kosuge, Takahiro Takeda, Yasuhisa Hirata
2008	Ambient Intelligence - the Next Step for Artificial Intelligence IEEE Intelligent Systems 2008 (2); by Carlos Ramos, Juan Carlos Augusto, Daniel G. Shapiro

Computing (specialised) / IEEE Security & Privacy

2008	Cybersecurity and Artificial Intelligence: From Fixing the Plumbing to Smart Water IEEE Security & Privacy 2008 (5); by Carl E. Landwehr

Computing (general) / PhD Theses

2008	Theory and Algorithms for Modern Machine Learning Problems and an Analysis of Markets PhD Theses 2008 (1); by Ashish Rastogi
2008	Impact de la gestation et de manipulation de l'embryon sur l'endomètre à l'implantation : analyses transcriptomiques chez le bovin. (Gene expression differences in bovine caruncular and intercarunclar tissue during the embryo implantation period and according to the embryo type (AI, IVF-ET, SNT)) PhD Theses 2008 (1); by Nadera Mansouri-Attia
2008	Bootstrapping Named Entity Annotation by Means of Active Machine Learning: A Method for Creating Corpora PhD Theses 2008 (1); by Fredrik Olsson
2008	Missing Data Problems in Machine Learning PhD Theses 2008 (1); by Benjamin M. Marlin
2008	Symbolic knowledge extraction from black-box machine learning techniques with ranking similarities PhD Theses 2008 (1); by Rodrigo Elias Bianchi
2008	Relations among rankings, ROC analysis and calibration applied to machine learning PhD Theses 2008 (1); by Edson Takashi Matsubara
2008	Collabortive filtering using machine learning and statistical techniques PhD Theses 2008 (1); by Xiaoyuan Su
2008	Compilers that learn to optimise : a probabilistic machine learning approach PhD Theses 2008 (1); by Edwin V. Bonilla
2008	Digital Forensics using Machine Learning Methods PhD Theses 2008 (1); by Muhammad Naeem Ahmed Khan
2008	Sparsity in machine learning: theory and practice PhD Theses 2008 (1); by Zakira Hussain
2008	Detecting worm mutations using machine learning PhD Theses 2008 (1); by Oliver Sharma
2008	Machine learning in embedded systems PhD Theses 2008 (1); by Erick A. R. Swere
2008	A machine learning approach to robust autonomous detection of defective pixels in image sensor arrays PhD Theses 2008 (1); by Siddhartha Ghosh
2008	Machine learning strategies for content based image retrieval PhD Theses 2008 (1); by Lokesh Setia
2008	Machine learning for genomic sequence analysis PhD Theses 2008 (1); by Sören Sonnenburg
2008	Statistical issues in machine learning: towards reliable split selection and variable importance measures PhD Theses 2008 (1); by Carolin Strobl
2008	Channel-Coded Feature Maps for Computer Vision and Machine Learning PhD Theses 2008 (1); by Erik Jonsson
2008	Applying Machine Learning Methods to Aphasic Data PhD Theses 2008 (1); by Antti Järvelin
2008	Improving Biomedical Information Retrieval Citation Metrics Using Machine Learning PhD Theses 2008 (1); by Lawrence D. Fu
2008	Machine learning for automatic classification of remotely sensed data PhD Theses 2008 (1); by Linda Milne
2008	Peak intensity prediction in mass spectra using machine learning methods (Peakintensitätsvorhersage in Massenspektren mit maschinellen Lernmethoden) PhD Theses 2008 (1); by Wiebke Timm
2008	Understanding signal sequences with machine learning PhD Theses 2008 (1); by Jean-Luc Falcone
2008	Limiting programs for induction in artificial intelligence PhD Theses 2008 (1); by Patrick Caldon
2008	On practical machine learning and data analysis PhD Theses 2008 (1); by Daniel Gillblad
2008	Applying Machine Learning Methods to Suggest Network Involvement and Functionality of Genes in Saccharomyces cerevisiae PhD Theses 2008 (1); by Heather Amthauer
2008	Yeni makine öğrenmesi metotları ve ilaç tasarımına uygulamaları (New machine learning algorithms and applications to drug design) PhD Theses 2008 (1); by Mehmet Fatih Amasyali

2007 (27)

Computing (specialised) / IEEE Intelligent Systems

2007	Machine Learning Tools for Automatic Mapping of Martian Landforms IEEE Intelligent Systems 2007 (6); by Tomasz F. Stepinski, Ricardo Vilalta, Soumya Ghosh
2007	Mexar2: AI Solves Mission Planner Problems IEEE Intelligent Systems 2007 (4); by Amedeo Cesta, Gabriella Cortellessa, Michel Denis, Alessandro Donati, Simone Fratini, Angelo Oddi, Nicola Policella, Erhard Rabenau, Jonathan Schulster
2007	Adopting Software Engineering Trends in AI IEEE Intelligent Systems 2007 (1); by Dragan Djuric, Vladan Devedzic, Dragan Gasevic
2007	Game AI is Dead. Long Live Game AI! IEEE Intelligent Systems 2007 (1); by Alexander Nareyek

UX & Human Factors / IEEE Computer Graphics & Applications

2007	Machine Learning to Boost the Next Generation of Visualization Technology IEEE Computer Graphics & Applications 2007 (5); by Kwan-Liu Ma

Computing (general) / Communications of the ACM

2007	Stop chasing the AI illusion Communications of the ACM 2007 (4); by Diane Crawford

Computing (general) / PhD Theses

2007	Apprentissage à base de Noyaux Sémantiques pour le Traitement de Données Textuelles. (Machine Learning with Semantic Kernels for Textual Data) PhD Theses 2007 (1); by Sujeevan Aseervatham
2007	Digitizing North Indian music: preservation and extension using multimodal sensor systems, machine learning and robotics PhD Theses 2007 (1); by Ajay Kapur
2007	Simulation and optimization of silver formaldehyde reactor, using artificial intelligence techniques PhD Theses 2007 (1); by Antonio Carlos Papes Filho
2007	Artificial intelligence for cognitive agents and intelligent environments PhD Theses 2007 (1); by Hussam Suliman
2007	Flexible and efficient Gaussian process models for machine learning PhD Theses 2007 (1); by Edward Lloyd Snelson
2007	Counter intrusion software : malware detection using structural and behavioural features and machine learning PhD Theses 2007 (1); by Joseph R. Rabaiotti
2007	Learning classifier systems from first principles : a probabilistic reformulation of learning classifier systems from the perspective of machine learning PhD Theses 2007 (1); by Jan Drugowitsch
2007	Machine learning in multi-frame image super-resolution PhD Theses 2007 (1); by Lyndsey C. Pickup
2007	Machine learning techniques for probability forecasting and their practical evaluations PhD Theses 2007 (1); by David George Lindsay
2007	Bayesian machine learning applied in a brain-computer interface for disabled users PhD Theses 2007 (1); by Ulrich Hoffmann
2007	Incorporating prior domain knowledge into inductive machine learning : its implementation in contemporary capital markets PhD Theses 2007 (1); by Yi Zheng, Ting Yu
2007	Development and Application of Statistical and Machine Learning Techniques in Probabilistic Astronomical Catalogue-Matching Problems PhD Theses 2007 (1); by David Rohde
2007	Near-Optimality of Distributed Network Management with a Machine Learning Approach PhD Theses 2007 (1); by Sung-eok Jeon
2007	Scalable machine learning for massive datasets: Fast summation algorithms PhD Theses 2007 (1); by Vikas Chandrakant Raykar
2007	Öğrenme-öğretme sürecinde yapay zeka ve web tabanlı zeki öğretim sistemi tasarımı ve matematik öğretiminde bir uygulama (Artificial intelligence and web based intelligent tutoring system design in learning-teaching process and an application in mathematics teaching) PhD Theses 2007 (1); by Aytürk Keles
2007	İris deseninin yapay zeka yöntemleri ile tanınması (Recognition of iris texture by using artificial intelligence methods) PhD Theses 2007 (1); by Hasan Erdinc Kocer
2007	Eğitim amaçlı bir iklimlendirme odasının yapay zeka teknikleri ile modellenmesi ve kontrolu (Modelling and control of a climatization test chamber with artificial intelligence techniques) PhD Theses 2007 (1); by Yusuf Izgi
2007	Yapay zeka teknikleri kullanılarak yüzey modelleme (Surface modeling using artificial intelligence techniques) PhD Theses 2007 (1); by Erkan Ülker
2007	İşaret işleme ve yapay zeka tabanlı arıza dayanımlı denetleyici tasarımı (Design of signal processing and artificial intelligence based fault tolerance controller) PhD Theses 2007 (1); by Seda Postalcioglu
2007	Yapay zeka yöntemleri ile yazılım projelerinde maliyet kestirimi (Effort estimation in software projects by using artificial intelligence methods) PhD Theses 2007 (1); by Oktay Adalier
2007	Testere ile kesme işleminde yapay zeka tabanlı adaptif kontrol uygulaması (Adaptive control application based on artificial intelligence in the bandsawing process) PhD Theses 2007 (1); by Ilhan Asiltürk

2006 (56)

UX & Human Factors / ACM interactions

2006	Turing maturing: the separation of artificial intelligence and human-computer interaction ACM interactions 2006 (5); by Jonathan Grudin

Computing (specialised) / IEEE Internet Computing

2006	Judea Pearl Interview: A Giant of Artificial Intelligence Takes on All-Too-Real Hatred IEEE Internet Computing 2006 (5); by Greg Goth

Computing (specialised) / IEEE Intelligent Systems

2006	Artificial Intelligence-Mediated Interaction in Virtual Reality Art IEEE Intelligent Systems 2006 (5); by Jean-Luc Lugrin, Marc Cavazza, Mark Palmer, Sean Crooks
2006	Puppetry vs. Creationism: Why AI Must Cross the Chasm IEEE Intelligent Systems 2006 (5); by Frederick Hayes-Roth
2006	The Future of AI in Space IEEE Intelligent Systems 2006 (4); by Steve A. Chien, Richard J. Doyle, Ashley Gerard Davies, Ari K. Jónsson, Ralph D. Lorenz
2006	How Portugal Celebrated AI's 50th Anniversary IEEE Intelligent Systems 2006 (4); by Carlos Ramos
2006	A Semantic Future for AI IEEE Intelligent Systems 2006 (4); by Rudi Studer, Anupriya Ankolekar, Pascal Hitzler, York Sure
2006	AI's Future: Innovating in Business and Society IEEE Intelligent Systems 2006 (3); by V. Richard Benjamins
2006	AI Research in China: 50 Years down the Road IEEE Intelligent Systems 2006 (3); by Ruqian Lu, Daniel Dajun Zeng, Fei-Yue Wang
2006	Learning and Education: A Continuing Frontier for AI IEEE Intelligent Systems 2006 (3); by Oliver G. Selfridge
2006	Evolution, Sociobiology, and the Future of Artificial Intelligence IEEE Intelligent Systems 2006 (3); by David L. Waltz
2006	Representation as a Fluent: An AI Challenge for the Next Half Century IEEE Intelligent Systems 2006 (3); by Alan Bundy, Fiona McNeill
2006	AI's 10 to Watch IEEE Intelligent Systems 2006 (3); by David L. Waltz
2006	AI and Science's Lost Realm IEEE Intelligent Systems 2006 (3); by Colin G. Hales
2006	AI and Similarity IEEE Intelligent Systems 2006 (3); by Edwina L. Rissland
2006	Introducing the Future of AI IEEE Intelligent Systems 2006 (3); by James A. Hendler
2006	Machine Learning in Biology: A Profile of David Haussler IEEE Intelligent Systems 2006 (1); by Sara Reese Hedberg
2006	Introduction to the Special Issue: AI, Agents, and the Web IEEE Intelligent Systems 2006 (1); by James A. Hendler

Software Engineering / ACM queue (FREE)

2006	AI gets a brain ACM queue (FREE) 2006 (4); by Jeff Barr, Luis-Felipe Cabrera

Computing (general) / PhD Theses

2006	Machine Learning Techniques for Code Generation and Optimization PhD Theses 2006 (1); by Xiaoming Li
2006	Data Complexity in Machine Learning and Novel Classification Algorithms PhD Theses 2006 (1); by Ling Li
2006	Psychometric AI and story arrangement: progress of a test-based approach towards an achievable artificial intelligence PhD Theses 2006 (1); by Bettina Schimanski
2006	Machine Learning Approaches to Text Representation using Unlabeled Data. (Approches d'apprentissage automatiques pour le représentation de textes à travers l'utilisation de données non-étiquetées) PhD Theses 2006 (1); by Mikaela Keller
2006	Machine Learning for Image Based Motion Capture PhD Theses 2006 (1); by Ankur Agarwal
2006	Language Technology for the Lazy: Avoiding Work by Using Statistics and Machine Learning PhD Theses 2006 (1); by Jonas Sjöbergh
2006	Mining Speech Sounds: Machine Learning Methods for Automatic Speech Recognition and Analysis PhD Theses 2006 (1); by Giampiero Salvi
2006	Statistical machine learning for data mining and collaborative multimedia retrieval PhD Theses 2006 (1); by Steven Chu-Hong Hoi
2006	New approaches in machine learning for rule generation, class imbalance and rankings PhD Theses 2006 (1); by Ronaldo Cristiano Prati
2006	Automating the construction of a complier heuristics using machine learning PhD Theses 2006 (1); by Mark W. Stephenson
2006	Machine learning and intelligent data analysis for interpretable neuro-fuzzy system modelling PhD Theses 2006 (1); by Shang-Ming Zhou
2006	Fuzzy logic data mining and machine learning and its applications PhD Theses 2006 (1); by Dong Walter Xie
2006	Using machine learning for decoy discrimination in protein tertiary structure prediction PhD Theses 2006 (1); by C. W. Tan
2006	An investigation into hybrid artificial intelligence techniques applied to the game of Go PhD Theses 2006 (1); by Julian Churchill
2006	Learning manipulative skills using an artificial intelligence approach PhD Theses 2006 (1); by Pawel Chmielarczyk
2006	Semantic models for machine learning PhD Theses 2006 (1); by David R. Hardoon
2006	Knowledge based improvement : simulation and artificial intelligence for understanding and improving decision making in an operations system PhD Theses 2006 (1); by Thanos Alifantis
2006	Knowledge management using machine learning, natural language processing and ontology PhD Theses 2006 (1); by Qiao Tang
2006	Causal reasoning in artificial intelligence PhD Theses 2006 (1); by Marzieh Asgari-Targhi
2006	On graphical models for communications and machine learning: algorithms, bounds, and analog implementation PhD Theses 2006 (1); by Justin H. G. Dauwels
2006	The simulation of action strategies of different personalities in perspective of the interaction between emotions, motivations, and cognition: (an experimental study in the field of cognitive psychology and artificial intelligence) PhD Theses 2006 (1); by Ayman Elkady
2006	On the role of feature selection in machine learning (על בחירת תכוניות בלמידה חישובית.) PhD Theses 2006 (1); by Amir Navot
2006	Enhanced machine learning techniques for microarray cancer classification PhD Theses 2006 (1); by Li Shen
2006	Development of new machine learning methods for medical image processing and analysis PhD Theses 2006 (1); by Dimitrios Glotsos
2006	Anomaly Detection Through Statistics-Based Machine Learning For Computer Networks PhD Theses 2006 (1); by Xuejun Zhu
2006	Combining Description Logic Reasoning with AI Planning for Composition of Web Services PhD Theses 2006 (1); by Evren Sirin
2006	An Adaptive Machine Learning Approach to Knowledge Discovery in Large Datasets PhD Theses 2006 (1); by Kevin Ewert
2006	Combining machine learning and rule-based approaches in Spanish syntactic generation PhD Theses 2006 (1); by Maria Teresa Melero Nogués
2006	Türkçe metinlerdeki anlam belirsizliği olan sözcüklerin bilgisayar algoritmaları ile anlam belirginleştirmesi (Sense disambiguation of ambiguous words in Turkish texts by machine learning algorithms) PhD Theses 2006 (1); by Zeynep Orhan
2006	Tecnologie di acquisizione tridimensionale applicate ai beni culturali PhD Theses 2006 (1); by Andrea Cioci
2006	Sviluppo e applicazione della metodologia platform based design ai sistemi embedded e realtime PhD Theses 2006 (1); by Daniele Gasperini
2006	Machine learning for ontology engineering PhD Theses 2006 (1); by Luigi Iannone
2006	Advanced machine learning techniques for digital mammography PhD Theses 2006 (1); by Matteo Roffilli
2006	Metriche per l'analisi della semantica latente finalizzata ai modelli del linguaggio PhD Theses 2006 (1); by Francesco Agostaro
2006	Knowledge artifacts from an artificial intelligence perspective PhD Theses 2006 (1); by Ettore Colombo
2006	Ontologies & machine learning techniques for addressing re-usability issues in e-learning PhD Theses 2006 (1); by Paramjeet Singh Saini

Computing (specialised) / IEEE Computing in Science & Engineering

2006	En Route to Artificial Intelligence, Software Learns Language IEEE Computing in Science & Engineering 2006 (1); by Pam Frost Gorder

2005 (26)

Computing (specialised) / IEEE Intelligent Systems

2005	TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography IEEE Intelligent Systems 2005 (6); by Tod D. Romo, Kreshna Gopal, Erik McKee, Lalji Kanbi, Reetal Pai, Jacob N. Smith, James C. Sacchettini, Thomas R. Ioerger
2005	Guest Editors' Introduction: Artificial Intelligence for Homeland Security IEEE Intelligent Systems 2005 (5); by Hsinchun Chen, Fei-Yue Wang
2005	AI and Philosophy: How Can You Know the Dancer from the Dance? IEEE Intelligent Systems 2005 (4); by Linda World
2005	Constraints and AI Planning IEEE Intelligent Systems 2005 (2); by Alexander Nareyek, Eugene C. Freuder, Robert Fourer, Enrico Giunchiglia, Robert P. Goldman, Henry A. Kautz, Jussi Rintanen, Austin Tate

Computing (general) / PhD Theses

2005	A Study of the Bipartite Ranking Problem in Machine Learning PhD Theses 2005 (1); by Shivani Agarwal
2005	Support Vector Machine Learning for Interdependent and Structured Output Spaces PhD Theses 2005 (1); by Ioannis Tsochantaridis
2005	Contribution des Sciences Sociales dans le domaine de l'Intelligence Artificielle Distribuée : ALONE, un modèle hybride d'agent apprenant. (Contribution of Social Sciences in Distributed Artificial Intelligence : ALONE, an hybrid model of a learning agent) PhD Theses 2005 (1); by Isabelle Jars
2005	Méthodologie d'évaluation de la cohérence inter-représentations pour l'intégration de bases de données spatiales. Une approche combinant l'utilisation de métadonnées et l'apprentissage automatique. (Methodology for assessing consistency between multiple representations for spatial databases integration.An approach combining the use of metadata and machine learning) PhD Theses 2005 (1); by David Sheeren
2005	Assistance au calage de modèles numériques en hydraulique fluviale - Apports de l'intelligence artificielle. (Computer-aided model calibration in river hydraulics - Contributions from artificial intelligence) PhD Theses 2005 (1); by Jean-Philippe Vidal
2005	Physical computation and embodied artificial intelligence PhD Theses 2005 (1); by Sunny Rukhsana Elynn Bains
2005	Artificial intelligence-based approach to modelling of pipe organs PhD Theses 2005 (1); by Brahim Hamadicharef
2005	Condition monitoring of outdoor insulation using artificial intelligence techniques PhD Theses 2005 (1); by J. Crespo-Sandoval
2005	Machine learning and data validation PhD Theses 2005 (1); by P. Pantziarka
2005	MARIA : a multi-layered unsupervised machine learning algorithm based on the vertebrate immune system PhD Theses 2005 (1); by Thomas Knight
2005	AI in computer games : generating interesting interactive opponents by the use of evolutionary computation PhD Theses 2005 (1); by Georgios N. Yannakakis
2005	Models of novelty detection based on machine learning PhD Theses 2005 (1); by Markos Markou
2005	Graph matching: filtering databases of graphs using machine learning techniques PhD Theses 2005 (1); by Christophe-André Irniger
2005	Machine learning of information extraction procedures: an ILP approach PhD Theses 2005 (1); by Bernd Thomas
2005	Machine learning methods for brain computer interfaces PhD Theses 2005 (1); by Thomas Navin Lal
2005	Spectral properties of the kernel matrix and their relation to kernel methods in machine learning PhD Theses 2005 (1); by Mikio Ludwig Braun
2005	Design and Optimization of Microwave Circuits and Systems Using Artificial Intelligence Techniques PhD Theses 2005 (1); by Rana Jitendra Pratap
2005	Combining Linguistic and Machine Learning Techniques for Word Alignment Improvement PhD Theses 2005 (1); by Necip Fazil Ayan
2005	Interactive Machine Learning for Refinement and Analysis of Segmented CT/MRI Images PhD Theses 2005 (1); by Erol Sarigul
2005	The problem of tuning metaheuristics: as seen from the machine learning perspective PhD Theses 2005 (1); by Mauro Birattari
2005	Game theory and artificial intelligence PhD Theses 2005 (1); by Gianluigi Greco
2005	The planning problem in AI PhD Theses 2005 (1); by Marcelo Oglietti

2004 (16)

Software Engineering / ACM queue (FREE)

2004	AI in Computer Games ACM queue (FREE) 2004 (10); by Alexander Nareyek

Computing (specialised) / IEEE Intelligent Systems

2004	Moving AI Out of Its Infancy: Changing Our Preconceptions IEEE Intelligent Systems 2004 (6); by Steve Grand
2004	Australian Computer Society National Committee for AI: AI in Australia and New Zealand IEEE Intelligent Systems 2004 (4)
2004	AI Fights Money Laundering IEEE Intelligent Systems 2004 (3); by Jason Kingdon
2004	The JSAI and AI Activity in Japan IEEE Intelligent Systems 2004 (2); by Riichiro Mizoguchi
2004	Artificial Intelligence and Grids: Workflow Planning and Beyond IEEE Intelligent Systems 2004 (1); by Yolanda Gil, Ewa Deelman, Jim Blythe, Carl Kesselman, Hongsuda Tangmunarunkit

Computing (general) / IEEE Computer

2004	The Problem with AI / Defining Memory / Divisible Load-Scheduling Discovery IEEE Computer 2004 (1)

Computing (general) / PhD Theses

2004	Improving Machine Learning Approaches to Noun Phrase Coreference Resolution PhD Theses 2004 (1); by Yu-Chung Ng
2004	Machine learning on Web documents PhD Theses 2004 (1); by Lawrence Kai Shih
2004	Adaptive Java optimisation using machine learning techniques PhD Theses 2004 (1); by Shun Long
2004	Flexible information management strategies in machine learning and data mining PhD Theses 2004 (1); by Duc Cuong Nguyen
2004	A machine learning approach to term classification PhD Theses 2004 (1); by Irena Spasic
2004	Artificial intelligence for animated autonomous agents PhD Theses 2004 (1); by Adam Szarowicz
2004	Prepositional phrase attachment using machine learning algorithms PhD Theses 2004 (1); by Brian Mitchell
2004	A machine learning approach to automate classification of literature in a SAM research database PhD Theses 2004 (1); by Elizabeth P. Morris
2004	Development of artificial intelligence systems for electrical insulation defect identification through partial discharge measurements PhD Theses 2004 (1); by Marco Conti

2003 (25)

Computing (general) / IEEE Computer

2003	Artificial Intelligence: Arrogance or Ignorance? IEEE Computer 2003 (11); by W. Neville Holmes
2003	News Briefs Topics include: Chip Making to Dye For / Using AI in Games that Adapt to Users / Group Considers Drastic Measures to Stop Spam / Technology Enables Online Voice Auditions IEEE Computer 2003 (7); by Linda Dailey Paulson
2003	Artificial Intelligence: Hype or Reality? IEEE Computer 2003 (5); by Adrian A. Hopgood

Computing (specialised) / IEEE Intelligent Systems

2003	A Rising Team in the World AI Community IEEE Intelligent Systems 2003 (5); by Yi X. Zhong
2003	Incorporating AI into Military Decision Making: An Experiment IEEE Intelligent Systems 2003 (4); by Robert Rasch, Alexander Kott, Kenneth D. Forbus
2003	AI Matures and Flourishes in North America IEEE Intelligent Systems 2003 (4); by David Mike Hamilton, Tom M. Mitchell, Carol McKenna Hamilton
2003	AI's Geographic Outreach: Mexico and Latin America IEEE Intelligent Systems 2003 (3); by Francisco J. Cantú Ortiz
2003	What's AI Done for Me Lately? Genetic Programming's Human-Competitive Results IEEE Intelligent Systems 2003 (3); by John R. Koza, Martin A. Keane, Matthew J. Streeter
2003	Guest Editor's Introduction: 21st Century AI--Proud, Not Smug IEEE Intelligent Systems 2003 (3); by Tim Menzies
2003	The Aims of Artificial Intelligence: A Science Fiction View IEEE Intelligent Systems 2003 (2); by Ian Watson
2003	Local Efforts with Global Impact: Europe's Thriving AI Communities IEEE Intelligent Systems 2003 (2); by Rob Milne
2003	You Can Tell Me by the Way I Walk; Worldwide AI Coordination to Remain Ad Hoc; Commercial Robots: Close but Not Quite There IEEE Intelligent Systems 2003 (1)

Hardware and Microprocessor Systems / IEEE Micro

2003	News: Intel's earnings double in quarter; tiny bubbles key in future liquid-cooled systems; chip diet tests Cisco's resolve; Intel to release machine learning libraries; and proposal in to fit eight Alpha cores onto a chip IEEE Micro 2003 (4)

Computing (general) / PhD Theses

2003	Machine Learning for Information Extraction PhD Theses 2003 (1); by Dmitry Zelenko
2003	Cost-Effective machine Learning Strategies for Shallow Parsing PhD Theses 2003 (1); by David Pierce
2003	Extraction of knowledge from Artificial Neural Networks using Symbolic Machine Learning Systems and Genetic Algorithm PhD Theses 2003 (1); by Claudia Regina Milaré
2003	Data pre-processing for supervised machine learning PhD Theses 2003 (1); by Gustavo Enrique De Almeida Prado Alves Batista
2003	The organisation and retrieval of document collections: a machine learning approach PhD Theses 2003 (1); by Alexei Vinokourov
2003	Using artificial intelligence to model complex systems PhD Theses 2003 (1); by Matthew Aitkenhead
2003	Hybrid AI paradigms applied to power system damping controls PhD Theses 2003 (1); by Laiq Khan
2003	The social implications of artificial intelligence PhD Theses 2003 (1); by Blay Whitby
2003	Machine learning for parameter identification of electric induction machines PhD Theses 2003 (1); by W. F. Kent
2003	Boltzmann machine learning: analysis and improvements PhD Theses 2003 (1); by Ian A. Wood
2003	The development of risk adjusted control charts and machine learning models to monitor the mortality rate of intensive care unit patients PhD Theses 2003 (1); by David A. Cook

Computing (specialised) / IEEE Security & Privacy

2003	AI Bites Man? IEEE Security & Privacy 2003 (1); by Marc Donner

2002 (17)

Computing (specialised) / IEEE Intelligent Systems

2002	AI Holds the Keys IEEE Intelligent Systems 2002 (6); by Scott L. Andresen
2002	John McCarthy: Father of AI IEEE Intelligent Systems 2002 (5); by Scott L. Andresen
2002	LAD: Moving beyond AI-Based Language Acquisition, Crime-Predicting Cameras, Standards for Gaming IEEE Intelligent Systems 2002 (5); by Keri Schreiner
2002	Putting AI in Entertainment: An AI Authoring Tool for Simulation and Games IEEE Intelligent Systems 2002 (4); by Daniel Fu, Ryan T. Houlette
2002	Guest Editors' Introduction: AI and the Entertainment Industry IEEE Intelligent Systems 2002 (4); by Kenneth D. Forbus, John E. Laird
2002	Applying Inexpensive AI Techniques to Computer Games IEEE Intelligent Systems 2002 (4); by Aaron Khoo, Robert Zubek
2002	Kids, Computers, and AI-A Safe Mix? IEEE Intelligent Systems 2002 (4); by Nigel Shadbolt

Computing (general) / Communications of the ACM

2002	Research in human-level AI using computer games Communications of the ACM 2002 (1); by John E. Laird

Computing (general) / ACM Computing Surveys

2002	Machine learning in automated text categorization ACM Computing Surveys 2002 (1); by Fabrizio Sebastiani

Computing (general) / PhD Theses

2002	Distributed Artificial Intelligence And Knowledge Management: Ontologies And Multi-Agent Systems For A Corporate Semantic Web. (Intelligence Artificielle Distribuée Et Gestion Des Connaissances : Ontologies Et Systèmes Multi-Agents Pour Un Web Sémantique Organisationnel) PhD Theses 2002 (1); by Fabien Gandon
2002	Artificial intelligence technologies in complex engineering design PhD Theses 2002 (1); by Yew-Soon Ong
2002	Pattern classification using enhanced machine learning PhD Theses 2002 (1); by Li Meng
2002	A machine learning system for the automatic identification of text structure, and application to research article abstracts in computer science PhD Theses 2002 (1); by L. E. Anthony
2002	Application of distributed artificial intelligence to the flow control of mobile robots PhD Theses 2002 (1); by Andrew Alexander Wallace
2002	Machine learning in the capital market: rule extraction from cross-industry and computer software & services industry initial public offerings in the US Stock Market using support vector machines, artificial neural networks, Bayesian classificiation, decision tree and rule learning techniques PhD Theses 2002 (1); by Rolf Mitsdorffer
2002	Machine Learning on Otoneurological Data: Decision Trees for Vertigo Diseases PhD Theses 2002 (1); by Kati Viikki
2002	Combining multiple machine learning algorithms to learn rules and exceptions (Kurallar ve istisnaların öğrenilmesi için birden çok sınıflandırıcının birleştirilmesi) PhD Theses 2002 (1); by Cenk Kaynak

2001 (9)

Computing (general) / IEEE Computer

2001	Using a Computer Game to Develop Advanced AI IEEE Computer 2001 (7); by John E. Laird

Computing (specialised) / IEEE Intelligent Systems

2001	AI Briefs IEEE Intelligent Systems 2001 (6)
2001	Hebert A. Simon: AI Pioneer IEEE Intelligent Systems 2001 (4); by Scott L. Andresen

Computing (specialised) / IEEE Computing in Science & Engineering

2001	Machine learning [Book Review] IEEE Computing in Science & Engineering 2001 (3); by George Cybenko

Computing (general) / PhD Theses

2001	Programming by demonstration: a machine learning approach PhD Theses 2001 (1); by Tessa A. Lau
2001	Dynamic flexible constraint satisfaction and its application to AI planning PhD Theses 2001 (1); by Ian Miguel
2001	Application of artificial intelligence techniques to the design of improved stabilizers for superconducting generators PhD Theses 2001 (1); by Ragaey Abdel-Fattah Saleh
2001	Algorithms and architectures for machine learning based on regularized neural netwoks and support vector approaches PhD Theses 2001 (1); by Matthias Rychetsky
2001	Artificial Intelligence Applications in the Diagnosis of Power Transformer Incipient Faults PhD Theses 2001 (1); by Zhenyuan Wang

2000 (6)

Computing (specialised) / IEEE Intelligent Systems

2000	AI at IBM Research IEEE Intelligent Systems 2000 (6); by Chidanand Apté, Leora Morgenstern, Se June Hong
2000	AI's Greatest Trends and Controversies IEEE Intelligent Systems 2000 (1); by Marti A. Hearst, Haym Hirsh

Computing (general) / Communications of the ACM

2000	Machine Learning of Event Segmentation for News on Demand Communications of the ACM 2000 (2); by Stanley Boykin, Andrew Merlino

Computing (general) / PhD Theses

2000	Apprentissage Supervisé Relationnel par Algorithmes d'Évolution. (Supervised Relational Machine Learning using Evolutionary Algorithms) PhD Theses 2000 (1); by Sébastien Augier
2000	Machine learning of changing concepts PhD Theses 2000 (1); by Rupert Parson
2000	Inducing Models of Human Control Skills using Machine Learning Algorithms PhD Theses 2000 (1); by Rui Carlos Camacho de Sousa Ferreira da Silva

1999 (11)

Computing (general) / Communications of the ACM

1999	Machine Learning and Data Mining Communications of the ACM 1999 (11); by Tom M. Mitchell

Computing (specialised) / IEEE Intelligent Systems

1999	AI in Space: An international forum for Space AI and Robotics IEEE Intelligent Systems 1999 (5); by Richard J. Doyle, Melvin Montemerio, Ichiro Nakatani, Jean-Claude Piedboeuf, Peter Putz
1999	Room service, AI-style IEEE Intelligent Systems 1999 (2); by Haym Hirsh, Michael H. Coen, Michael C. Mozer, Richard Hasha, James L. Flanagan

Computing (general) / PhD Theses

1999	Application of machine learning algorithms in adaptive web-based information systems PhD Theses 1999 (1); by Adalet Serengül Güven Smith
1999	An investigation into formal models of change in artificial intelligence PhD Theses 1999 (1); by Aladdin Ayesh
1999	Applying knowledge-based techniques and artificial intelligence to automated problem solving in science, technology and bioinformatics PhD Theses 1999 (1); by Matthew John Sullivan
1999	Machine learning approaches to complex time series PhD Theses 1999 (1); by D. I. Stamp
1999	An incremental machine learning mechanism for robotic applications PhD Theses 1999 (1); by Nawwaf Nayef Kharma
1999	Identification of chemical species using artificial intelligence to interpret optical emission spectra PhD Theses 1999 (1); by Cecilia S. Ampratwum
1999	Artificial intelligence, cognition and music: learning harmonic, melodic and metric relations with artificial neural networks (אינטליגנציה מלאכותית, קוגניציה ומוסיקה.) PhD Theses 1999 (1); by Dan Gang
1999	Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees PhD Theses 1999 (1); by Lluís Màrquez

1998 (18)

Computing (specialised) / IEEE Intelligent Systems

1998	AI Briefs: Clips from the Computists' Communique IEEE Intelligent Systems 1998 (6); by Kenneth I. Laws
1998	AI for Public Health: Self-Screening for Eye Diseases IEEE Intelligent Systems 1998 (5); by Xiaohui Liu, Gongxian Cheng, John Xingwang Wu
1998	AI Briefs: Clips from the Computists' Communique IEEE Intelligent Systems 1998 (5); by Kenneth I. Laws
1998	AI Briefs: A-Life for the Defense and More IEEE Intelligent Systems 1998 (4); by Kenneth I. Laws
1998	Using AI in Knowledge Management: Knowledge Bases and Ontologies IEEE Intelligent Systems 1998 (3); by Daniel E. O'Leary
1998	AI Briefs: All the Bits That Fit IEEE Intelligent Systems 1998 (3); by Kenneth I. Laws
1998	Executive Insight: Is AI Going Mainstream at Last? A Look Inside Microsoft Research IEEE Intelligent Systems 1998 (2); by Sara Reese Hedberg
1998	Guest Editor's Introduction: AI and the Changing Face of Health Care IEEE Intelligent Systems 1998 (1); by Erika Rogers
1998	Executive Insight: Stanford University's AI in Medicine: Still Cutting the Edge IEEE Intelligent Systems 1998 (1); by Sara Reese Hedberg
1998	Focus: AI and Law Enforcement IEEE Intelligent Systems 1998 (1); by John Charles

Computing (general) / PhD Theses

1998	Using machine learning to improve information access PhD Theses 1998 (1); by Mehran Sahami
1998	Applications of signal detection theory to the performance of imaging systems, human observers and artificial intelligence in radiography PhD Theses 1998 (1); by David J. Manning
1998	Inducing succinct rules in machine learning problems PhD Theses 1998 (1); by Kenneth Edward Whelan
1998	Artificial intelligence tools for path generation and optimisation for mobile robots PhD Theses 1998 (1); by Mario Augusto Gongora
1998	Constructivist artificial intelligence with genetic programming PhD Theses 1998 (1); by Kalyani Govinda Char
1998	Models of programs and machine learning PhD Theses 1998 (1); by Nicholas Bone
1998	The application of artificial intelligence techniques to process identification and control PhD Theses 1998 (1); by T. A. Xia
1998	Artificial intelligence and simulations applied to interatomic potentials PhD Theses 1998 (1); by Steven Hobday

1997 (13)

Computing (specialised) / IEEE Intelligent Systems

1997	Integrating AI Applications in an Energy Management System IEEE Intelligent Systems 1997 (6); by Jeffrey J. Bann, Guillermo D. Irisarri, Sasan Mokhtari, Daniel S. Kirschen, Bradley N. Miller
1997	Executive Insight: Robots Playing Soccer? RoboCup Poses a New Set of AI Research Challenges IEEE Intelligent Systems 1997 (5); by Sara Reese Hedberg
1997	Guest Editor's Introduction: AI-Assisted Browsing IEEE Intelligent Systems 1997 (5); by Daniel E. O'Leary
1997	Expert Online: Building a "complete planetary memory" of Artificial Intelligence IEEE Intelligent Systems 1997 (4); by Anne Humphreys
1997	Executive Insight: AI Coming of Age: NASA Uses AI for Autonomous Space Exploration IEEE Intelligent Systems 1997 (3); by Sara Reese Hedberg
1997	Executive Insight: AI in the White House: Expert System Diagnoises Bounced E-Mail IEEE Intelligent Systems 1997 (1); by Sara Reese Hedberg
1997	AI Application Areas in Power Systems IEEE Intelligent Systems 1997 (1); by Iraj Dabbaghchi, Richard D. Christie, Gary W. Rosenwald, Chen-Ching Liu
1997	Interview: AI and Power Systems IEEE Intelligent Systems 1997 (1); by Sarosh Talukdar

Computing (general) / Communications of the ACM

1997	Artificial Intelligence and Virtual Organizations Communications of the ACM 1997 (1); by Daniel E. O'Leary, Daniel Kuokka, Robert Plant

Computing (general) / IEEE Computer

1997	The Internet, Intranets, and the AI Renaissance IEEE Computer 1997 (1); by Daniel E. O'Leary

Computing (general) / PhD Theses

1997	Machine learning as massive search PhD Theses 1997 (1); by Richard B. Segal
1997	Apprentissage et généralisation par des réseaux de neurones : étude de nouveaux algorithmes constructifs. (Machine learning and generalization by Neural Networks: new constructive algorithms) PhD Theses 1997 (1); by Juan-Manuel Torres-Moreno
1997	Artificial intelligence : thought and content PhD Theses 1997 (1); by Gavin John Boyce

1996 (29)

Computing (general) / IEEE Computer

1996	The Challenge of Artificial Intelligence IEEE Computer 1996 (10); by Raj Reddy

Computing (specialised) / IEEE Intelligent Systems

1996	Empirical methods for artificial intelligence IEEE Intelligent Systems 1996 (6); by Paul R. Cohen
1996	Intelligent Agents: Where AI Meets Information Technology IEEE Intelligent Systems 1996 (6); by James A. Hendler
1996	A profile of the Australian Artificial Intelligence Institute IEEE Intelligent Systems 1996 (6); by Michael P. Georgeff, Anand S. Rao
1996	AI planning systems in the real world IEEE Intelligent Systems 1996 (6)
1996	Guest Editor's Introduction: AI for Applications IEEE Intelligent Systems 1996 (4); by Daniel E. O'Leary
1996	AI Models for Business Process Reengineering IEEE Intelligent Systems 1996 (4); by Eric S. K. Yu, John Mylopoulos, Yves Lespérance
1996	AI tools for business-process modeling IEEE Intelligent Systems 1996 (4); by Sara Reese Hedberg
1996	Applying AI to Structural Safety Monitoring and Evaluation IEEE Intelligent Systems 1996 (4); by Paolo Salvaneschi, Mauro Cadei, Marco Lazzari
1996	Guest Editors' Introduction: AI Applications in Structural/Construction Engineering IEEE Intelligent Systems 1996 (3); by James H. Garrett Jr., Ian F. C. Smith
1996	The role of AI in digital libraries IEEE Intelligent Systems 1996 (3)
1996	Green engineering: AI pioneers cutting a trail IEEE Intelligent Systems 1996 (3)
1996	AI and navigation on the Internet and Intranet IEEE Intelligent Systems 1996 (2); by Daniel E. O'Leary
1996	AI & taxes IEEE Intelligent Systems 1996 (2); by Sara Reese Hedberg
1996	AI's Impact in Telecommunications-Today and Tomorrow IEEE Intelligent Systems 1996 (1); by Sara Reese Hedberg
1996	Guest Editor's Introduction: AI in Telecommunications IEEE Intelligent Systems 1996 (1); by V. Seshadri

Computing (general) / ACM Computing Surveys

1996	The Importance of Integration for AI ACM Computing Surveys 1996 (4); by Barbara J. Grosz
1996	Computational Challenges in Artificial Intelligence ACM Computing Surveys 1996 (4); by Bart Selman
1996	Cleaving (Unto) Artificial Intelligence ACM Computing Surveys 1996 (4); by Jon Doyle
1996	The Open Scientific Borders of AI, and the Case of Economics ACM Computing Surveys 1996 (4); by Yoav Shoham
1996	Strategic Directions in Artificial Intelligence ACM Computing Surveys 1996 (4); by Jon Doyle, Thomas L. Dean
1996	The Economic Approach to Artificial Intelligence ACM Computing Surveys 1996 (4); by Michael P. Wellman
1996	Machine Learning ACM Computing Surveys 1996 (4); by Thomas G. Dietterich
1996	Language, Computation and Artificial Intelligence ACM Computing Surveys 1996 (4); by Fernando C. N. Pereira

Other / IEEE Annals of the History of Computing

1996	Constructions of Gender in the History of Artificial Intelligence IEEE Annals of the History of Computing 1996 (3); by Alison E. Adam

Computing (general) / PhD Theses

1996	Intégration neuro-symbolique et intelligence artificielle: applications et implantation parallèle. (Neuro-symbolic integration and artificial intelligence: applications and parallel implementation) PhD Theses 1996 (1); by Yannick Lallement
1996	Artificial intelligence techniques for modeling financial analysis PhD Theses 1996 (1); by Alejandro Rodriguez Martins
1996	An application of artificial intelligence to quantitative problem solving in engineering PhD Theses 1996 (1); by Jaron Clements Collis
1996	Machine learning for medical diagnostics: techniques for feature extraction, classification, and evaluation PhD Theses 1996 (1); by Andrew P. Bradley

1995 (34)

Computing (general) / Communications of the ACM

1995	Applications of Machine Learning and Rule Induction Communications of the ACM 1995 (11); by Pat Langley, Herbert A. Simon
1995	Object-Oriented AI: A Commercial Perspective Communications of the ACM 1995 (11); by Paul Harmon
1995	Industrial Applications of Distributed AI Communications of the ACM 1995 (11); by Brahim Chaib-draa
1995	New Horizons in Commercial and Industrial AI - Introduction to the Special Issue Communications of the ACM 1995 (11); by Toshinori Munakata

Computing (specialised) / IEEE Intelligent Systems

1995	Mission to Planet Earth: AI Views the World IEEE Intelligent Systems 1995 (6); by Nicholas M. Short Jr., Robert F. Cromp, William J. Campbell, James C. Tilton, Jacqueline Le Moigne, Gyorgy Fekete, Nathan S. Netanyahu, Keith Wichmann, Walter B. Ligon III
1995	The IDRC: Promoting AI in developing countries IEEE Intelligent Systems 1995 (6); by Zbigniew Mikolajuk
1995	Machine Learning and Planning for Data Management in Forestry IEEE Intelligent Systems 1995 (6); by Stan Matwin, Daniel Charlebois, David G. Goodenough, A. S. Pal Bhogal
1995	Guest Editors' Introduction: Environmental Applications of AI IEEE Intelligent Systems 1995 (6); by Cindy L. Mason, Stan Matwin
1995	AI Developments in China IEEE Intelligent Systems 1995 (5); by Cungen Cao
1995	AI on the WWW : Supply and Demand Agents IEEE Intelligent Systems 1995 (4); by Carol E. Brown, Les Gasser, Daniel E. O'Leary, Alan Sangster
1995	Fuzzy and Neural Hybrid Expert Systems: Synergetic AI IEEE Intelligent Systems 1995 (4); by Motohisa Funabashi, Akira Maeda, Yasuo Morooka, Kiyomi Mori
1995	Using Machine Learning Techniques in Real-World Mobile Robots IEEE Intelligent Systems 1995 (2); by Michael Kaiser, Volker Klingspor, José del R. Millán, Marco Accame, Frank Wallner, Rüdiger Dillmann
1995	Review: AI Scheduling Methods IEEE Intelligent Systems 1995 (1); by Thomas Dean
1995	On the History of AI Applications, II: IEEE Conference on Artificial Intelligence Applications IEEE Intelligent Systems 1995 (1); by Daniel E. O'Leary
1995	On the History of AI Applications, I: IEEE Expert - The First Nine Years IEEE Intelligent Systems 1995 (1); by Daniel E. O'Leary
1995	US Lead Narrowing in AI IEEE Intelligent Systems 1995 (1); by John Charles

Computing (general) / ACM Computing Surveys

1995	Intellimedia: Making Multimedia Usable by Exploiting AI Methods ACM Computing Surveys 1995 (4); by Elisabeth André
1995	Artificial Intelligence Can Improve Hypermedia Instructional Technologies for Learning ACM Computing Surveys 1995 (4); by Teresa Roselli
1995	AI: Inventing a New Kind of Machine ACM Computing Surveys 1995 (3); by William J. Clancey
1995	AI Planning: A Prospectus on Theory and Applications ACM Computing Surveys 1995 (3); by Subbarao Kambhampati
1995	Overfitting and Undercomputing in Machine Learning ACM Computing Surveys 1995 (3); by Thomas G. Dietterich
1995	Multiagent Systems: An Emerging Subdiscipline of AI ACM Computing Surveys 1995 (3); by Victor R. Lesser
1995	The Economic Approach to Artificial Intelligence ACM Computing Surveys 1995 (3); by Michael P. Wellman
1995	Grand Challenges in AI ACM Computing Surveys 1995 (3); by Raj Reddy
1995	AI Systems Are Dumb Because AI Researchers Are Too Clever ACM Computing Surveys 1995 (3); by Jacques Pitrat

Computing (general) / PhD Theses

1995	A comparison of genetic algorithms and other machine learning systems on a complex classification task from common disease research PhD Theses 1995 (1); by Clare Bates Congdon
1995	Acquisition de connaissances et apprentissage automatique: contribution pour le developpement incremental d'un systeme à base de connaissances pour les situations de crise - application au domaine de l'eau. (Knowledge Acquisition and Machine Learning: Contribution in the Incremental Development of a Knowledge-Based System for Situations of Crisis Application to the water Domain) PhD Theses 1995 (1); by Redouane Senoune
1995	Artificial intelligence and uncertainty in power system operation PhD Theses 1995 (1); by Keith R. W. Bell
1995	Investigations into distributed artificial intelligence techniques for design with applications to instruments PhD Theses 1995 (1); by Hooman Khoui
1995	The application of artificial intelligence techniques to a sequencing problem in the biological domain PhD Theses 1995 (1); by Joan D. Walker
1995	Artificial intelligence applications in waste water monitoring for industrial purposes PhD Theses 1995 (1); by Nunthika Benjathapanum
1995	Stimulus Response Lernen: ein neues Machine Learning Paradigma PhD Theses 1995 (1); by Andreas Birk
1995	"What has been will be again": a machine learning approach to the analysis of natural language PhD Theses 1995 (1); by Yoram Singer
1995	The evaluation of the applicability of artificial intelligence software to solving problems in ion chromatography PhD Theses 1995 (1); by Mary Mulholland

1994 (15)

Computing (general) / IEEE Computer

1994	The IXM2 Parallel Associative Processor for AI IEEE Computer 1994 (11); by Tetsuya Higuchi, Ken'ichi Handa, Naoto Takahashi, Tatsumi Furuya, Hitoshi Iida, Eiichiro Sumita, Kozo Oi, Hiroaki Kitano
1994	An Associative Architecture for Genetic Algorithm-Based Machine Learning IEEE Computer 1994 (11); by Kirk Twardowski

Computing (specialised) / IEEE Intelligent Systems

1994	AI, Knowledge, and the Quest for Smart Systems IEEE Intelligent Systems 1994 (6); by B. Chandrasekaran
1994	Using AI for Counternarcotics: The Predictive Analysis System IEEE Intelligent Systems 1994 (5); by Myriam Abramson, Scott W. Bennett, William Brooks, Emily Hofmann, Paul Krause, Aaron Temin
1994	Automating Workflows for Service Order Processing: Integrating AI and Database Technologies IEEE Intelligent Systems 1994 (5); by Munindar P. Singh, Michael N. Huhns
1994	Machine Learning Approaches to Gene Recognition IEEE Intelligent Systems 1994 (2); by Mark W. Craven, Jude W. Shavlik
1994	Beyond the Fifth Generation: Parallel AI Research in Japan IEEE Intelligent Systems 1994 (1); by James A. Hendler
1994	1993 International Joint Conference on AI IEEE Intelligent Systems 1994 (1)
1994	AI-Based Planning for Data Analysis IEEE Intelligent Systems 1994 (1); by Amy L. Lansky, Andrew Philpot

Computing (general) / Communications of the ACM

1994	Commerical and Industrial AI - Indroduction to the Special Issue Communications of the ACM 1994 (3); by Toshinori Munakata

Computing (general) / PhD Theses

1994	Artificial intelligence as writing : knowledge-based hypertext systems as a medium for communication PhD Theses 1994 (1); by Avon P. Huxor
1994	Constraint-based reasoning in artificial intelligence PhD Theses 1994 (1); by Li Bai
1994	The application of artificial intelligence to mineral processing control PhD Theses 1994 (1); by Stephen Hall Treloar-Bradford
1994	The application of artificial intelligence to the development of a design support system for externally pressurised journal bearings PhD Theses 1994 (1); by Cheng Kai
1994	An investigation into the application of machine learning in information retrieval PhD Theses 1994 (1); by Ayse Göker

1993 (15)

Computing (general) / Communications of the ACM

1993	Expert Support Systems: Integrating AI Technologies Communications of the ACM 1993 (12); by M. K. El-Najdawi, Anthony C. Stylianou

Computing (general) / IEEE Computer

1993	Distributed Artificial Intelligence for Runtime Feature-Interaction Resolution IEEE Computer 1993 (8); by Hugo Velthuijsen

Computing (specialised) / IEEE Intelligent Systems

1993	Applying AI Clustering to Engineering Tasks IEEE Intelligent Systems 1993 (6); by Douglas H. Fisher, Ling Xu, James R. Carnes, Yoram Reich, Steven J. Fenves, Jason Chen, Richard G. Shiavi, Gautam Biswas, Jerry B. Weinberg
1993	Made-Up Minds: A Constructivist Approach to Artificial Intelligence IEEE Intelligent Systems 1993 (6)
1993	Formal Minds and Biological Brains: AI and Edelman's Extended Theory of Neuronal Group Selection IEEE Intelligent Systems 1993 (5); by Paul F. M. J. Verschure
1993	Where is the AI in China? High Tech in China and Hong Kong IEEE Intelligent Systems 1993 (3); by Dale Strok
1993	The Reliability of Embedded AI Systems IEEE Intelligent Systems 1993 (2); by Farokh B. Bastani, Ing-Ray Chen
1993	Practical AI: Where it's been, and where it is now IEEE Intelligent Systems 1993 (1); by Toshinori Munakata
1993	Applying Machine Learning to Semiconductor Manufacturing IEEE Intelligent Systems 1993 (1); by Keki B. Irani, Jie Cheng, Usama M. Fayyad, Zhaogang Qian

Computing (general) / PhD Theses

1993	A Machine Learning Approach to Planning in Complex Real-World Domains PhD Theses 1993 (1); by Scott W. Bennett
1993	The cryptographic hardness of machine learning PhD Theses 1993 (1); by Michael Kharitonov
1993	Inverse Engineering: A Machine Learning Approach to Support Engineering Synthesis PhD Theses 1993 (1); by R. Bharat Rao
1993	Towards a new framework for artificial intelligence research PhD Theses 1993 (1); by K. Brock Stitts
1993	Cooperative heuristics for autonomous agents : an artificial intelligence perspective PhD Theses 1993 (1); by Lorenzo Sommaruga
1993	Machine learning of natural concepts: an artificial intelligence approach (למידה של משגים טבעיים.) PhD Theses 1993 (1); by Yoram Biberman

1992 (12)

Computing (general) / IEEE Computer

1992	An Optimizing Compiler for an SPAP Architecture Using AI Tools IEEE Computer 1992 (6); by Helnye Azaria, Adrian Dvir
1992	SNAP: Parallel Processing Applied to AI IEEE Computer 1992 (5); by Dan I. Moldovan, Wing Lee, Changhwa Lin, Minhwa Chung

Computing (specialised) / IEEE Intelligent Systems

1992	AI into the 21st century IEEE Intelligent Systems 1992 (6); by James A. Hendler
1992	Machine Learning: A Theoretical Approach IEEE Intelligent Systems 1992 (4)
1992	Women in AI IEEE Intelligent Systems 1992 (4); by Dale Strok
1992	Guest Editor's Introduction: Applications of Machine Learning IEEE Intelligent Systems 1992 (3); by Alberto Maria Segre

Software Engineering / IEEE Software

1992	Using Artificial Intelligence in Communication System Design IEEE Software 1992 (1); by Norio Shiratori, Kaoru Takahashi, Kenji Sugawara, Tetsuo Kinoshita

Computing (general) / PhD Theses

1992	Conception d'un environnement de développement pour la résolution de problèmes : apport de l'intelligence artificielle distribuée et application à la vision. (Design of a development framework for distributed problem solving: contribution of distributed artificial intelligence and application to computer vision) PhD Theses 1992 (1); by Olivier Baujard
1992	Apprentissage automatique et acquisition des connaissances : deux approches complémentaires pour les systèmes à base de connaissances. Application au système "ACASYA" d'aide à la certification des systèmes de transport automatisés. (Machine learning and knowledge acquisition: two complementary approaches for knowledge-based systems. Application to the "ACASYA" system for assistance in the certification of automated transport systems) PhD Theses 1992 (1); by Habib Hadj-Mabrouk
1992	Reasoning about actions and plans in artificial intelligence and engineering PhD Theses 1992 (1); by Huaming Li
1992	Artificial Intelligence for Monitoring and Diagnosis of Robotic Spacecraft PhD Theses 1992 (1); by David John Atkinson
1992	A knowledge-based simulation optimization system with machine learning PhD Theses 1992 (1); by Ingrid W. M. Crouch

1991 (9)

Computing (specialised) / IEEE Intelligent Systems

1991	Frederick Hayes-Roth and Richard Fikes discuss the first decade of commercial AI IEEE Intelligent Systems 1991 (5)
1991	Questions remaining for AI copyrights, and Patents IEEE Intelligent Systems 1991 (3)
1991	AI on Wall Street IEEE Intelligent Systems 1991 (2); by Roy S. Freedman
1991	Artificial Life: A Constructive Lower Bound for Artificial Intelligence IEEE Intelligent Systems 1991 (1); by Richard K. Belew
1991	Guest Editor's Introduction: The 1990 Conference on AI Applications IEEE Intelligent Systems 1991 (1); by Chris Tong

Computing (general) / PhD Theses

1991	Conceptual geometric reasoning in artificial intelligence and engineering PhD Theses 1991 (1); by Kenneth N. Brown
1991	Learning in distributed artificial intelligence systems PhD Theses 1991 (1); by Satwinder Singh Sian
1991	Brave : an OR-parallel logic language and its application to search problems in artificial intelligence PhD Theses 1991 (1); by Petros Keflas
1991	Parallel applications and solutions in artificial intelligence and expert systems PhD Theses 1991 (1); by Kifah R. Tout

1990 (12)

Computing (specialised) / IEEE Intelligent Systems

1990	Guest Editor's Introduction: Object-Oriented Programming in AI IEEE Intelligent Systems 1990 (6); by Sherman R. Alpert, Scott W. Woyak, Howard J. Shrobe, Lloyd F. Arrowood
1990	DAIS: A Distributed AI Programming Shell IEEE Intelligent Systems 1990 (6); by Raman Kannan, William H. Dodrill
1990	AI as Art and Idolatry IEEE Intelligent Systems 1990 (5); by Susan G. Josephson
1990	Human Intelligence and AI: How Close are We to Bridging the Gap? IEEE Intelligent Systems 1990 (2); by R. Narasimhan
1990	AI and Expert System Myths, Legends, and Facts IEEE Intelligent Systems 1990 (1); by Mark S. Fox
1990	A JPL Report: AI Takes on Space Tasks IEEE Intelligent Systems 1990 (1); by Ware Myers

Computing (general) / Communications of the ACM

1990	An AI-Based Approach to Machine Translation in Indian Languages Communications of the ACM 1990 (5); by Subramanian Raman, Narayanan Alwar

Computing (general) / PhD Theses

1990	Relationship between relational databases and artificial intelligence: Study and conception of the H-Relation model. (Rapport entre les bases de données relationnelles et l'intelligence artificielle : Etude et conception du modèle H-Relation) PhD Theses 1990 (1); by Imad Saleh
1990	Artificial intelligence and its application in architectural design PhD Theses 1990 (1); by Julian E. H. Mustoe
1990	The application of artificial intelligence techniques to the integrated control of complex dynamic physical systems PhD Theses 1990 (1); by Hiok Chai Quek
1990	Fault isolation in complex dynamic systems using artificial intelligence techniques PhD Theses 1990 (1); by Jovan Barac
1990	An artificial intelligence approach to the analysis of multiple information sources in remote sensing PhD Theses 1990 (1); by Ashwin Srinivasan

1989 (9)

Computing (general) / Communications of the ACM

1989	The Potential of Artificial Intelligence to Help Solve the Crisis in Our Legal System Communications of the ACM 1989 (8); by Donald H. Berman, Carole D. Hafner

Computing (specialised) / IEEE Intelligent Systems

1989	Shadow: fusing hypertext with AI IEEE Intelligent Systems 1989 (4); by Patricia Carando

Other / IEEE Annals of the History of Computing

1989	The Institut Blaise-Pascal (1946-1969) from Couffignal's Machine to Artificial Intelligence IEEE Annals of the History of Computing 1989 (4); by Pierre E. Mounier-Kuhn

Computing (general) / PhD Theses

1989	A probabilistic reasoning-based approach to machine learning PhD Theses 1989 (1); by Krish Purswani
1989	N-person game playing and artificial intelligence PhD Theses 1989 (1); by Carol Luckhardt Redfield
1989	Une application de l'intelligence artificielle à la synthèse architecturale des circuits intégrés VLSI. (Application of artificial intelligence to architectural synthesis of vlsi integrated circuits) PhD Theses 1989 (1); by Alain Fonkoua
1989	Machine learning for handprinted character perception PhD Theses 1989 (1); by R. R. Malyan
1989	The use of artificial intelligence techniques for protein structure prediction PhD Theses 1989 (1); by Roslan Bin Ismail
1989	Machine learning and the acquisition of natural concepts based on the psychological theory of prototypes PhD Theses 1989 (1); by Peter B. Musgrove

1988 (4)

Computing (general) / PhD Theses

1988	New methodologies in the design of a general purpose fuzzy expert system: Applications with AI based precipitation retrieval designed for satellite microwave measurements PhD Theses 1988 (1); by Kyung-Whan Oh
1988	An artificial intelligence approach to the conceptual description of videodisc images PhD Theses 1988 (1); by Alan P. Parkes
1988	A machine learning approach to the problem of predicting a protein's secondary structure from its primary structure PhD Theses 1988 (1); by Ross D. King
1988	An artificial intelligence framework for experimental design and analysis in discrete event simulation PhD Theses 1988 (1); by Richard Paul Taylor

1987 (12)

Computing (general) / Communications of the ACM

1987	Generality in Artificial Intelligence Communications of the ACM 1987 (12); by John McCarthy

Computing (specialised) / IEEE Intelligent Systems

1987	Real-Time Control: A significant test of AI technologies IEEE Intelligent Systems 1987 (4); by Charles R. Weisbin
1987	Assessing Credit Card Applications Using Machine Learning IEEE Intelligent Systems 1987 (3); by Chris Carter, Jason Catlett
1987	FSA: Applying AI Techniques to the Familiarization Phase of Financial Decision Making IEEE Intelligent Systems 1987 (3); by Chunka Mui, William E. McCarthy
1987	AI and the Authoring Process IEEE Intelligent Systems 1987 (2); by Brian L. Dear

Computing (general) / IEEE Computer

1987	Computer Architectures for Artificial Intelligence Processing IEEE Computer 1987 (1); by Kai Hwang, Joydeep Ghosh, Raymond Chowkwanyun
1987	Connectionist Architectures for Artificial Intelligence IEEE Computer 1987 (1); by Scott E. Fahlman, Geoffrey E. Hinton
1987	New Computers for Artificial Intelligence Processing - Guest Editor's Introduction IEEE Computer 1987 (1); by Benjamin W. Wah
1987	Software Development Support for AI Programs IEEE Computer 1987 (1); by C. V. Ramamoorthy, Shashi Shekhar, Vijay K. Garg

Computing (general) / PhD Theses

1987	An Evaluation of Online Database Selection by a Gateway System With Artificial Intelligence Techniques PhD Theses 1987 (1); by Chengren Hu
1987	Artificial intelligence, the mind and evolution PhD Theses 1987 (1); by K. G. Butcher
1987	Conceptual graphs and fuzziness in artificial intelligence PhD Theses 1987 (1); by S. K. Morton

1986 (8)

Computing (general) / IEEE Computer

1986	Applications of AI in Engineering IEEE Computer 1986 (7); by William S. Faught
1986	Learning from AI: New Trends in Database Technology IEEE Computer 1986 (3); by Lubomir Bic, Jonathan P. Gilbert

Computing (specialised) / IEEE Intelligent Systems

1986	Expert Systems, Knowledge Engineering, and AI Tools-An Overview IEEE Intelligent Systems 1986 (4); by Chuck Williams
1986	AI Applications: Expert Systems and Machine Vision IEEE Intelligent Systems 1986 (1); by Jake K. Aggarwal, Richard O. Duda

Computing (general) / PhD Theses

1986	Adaptive Information Retrieval: Machine Learning in Associative Networks (Connectionist, Free-Text, Browsing, Feedback) PhD Theses 1986 (1); by Richard K. Belew
1986	Towards the application of artificial intelligence techniques for discrete event simulation PhD Theses 1986 (1); by Andrew Flitman
1986	Machine learning using fuzzy logic with applications to medicine PhD Theses 1986 (1); by D. E. Norris
1986	Asymptotic properties of certain competition systems in artificial intelligence and ecology PhD Theses 1986 (1); by Ingo Althöfer

1985 (8)

Computing (general) / IEEE Computer

1985	Workshop: Artificial Intelligence Research in Japan IEEE Computer 1985 (9); by Harriett B. Rigas, Taylor L. Booth, Faye A. Briggs, Tadao Murata, Harold S. Stone

Computing (general) / ACM Computing Surveys

1985	Research in Music and Artificial Intelligence ACM Computing Surveys 1985 (2); by Curtis Roads

Computing (general) / PhD Theses

1985	Actors: a Model of Concurrent Computation in Distributed Systems (Parallel Processing, Semantics, Open, Programming Languages, Artificial Intelligence) PhD Theses 1985 (1); by Gul A. Agha
1985	A Methodology for Solving Problems in Artificial Intelligence (Automated Reasoning, Heuristics, A-Star Algorithm, Model Problem) PhD Theses 1985 (1); by Suk In Yoo
1985	Knowledge Representation and Intelligent Systems: from Semantic Networks to Cognitive Maps (Artificial Intelligence) PhD Theses 1985 (1); by James R. Levenick
1985	Machine Learning Procedures for Generating Image Domain Feature Detectors PhD Theses 1985 (1); by Andrew M. Gillies
1985	A Study of Parallelism in the Classifier System and Its Application to Classification in Kl-One Semantic Networks (Artificial Intelligence, Fine-Grained) PhD Theses 1985 (1); by Stephanie Forrest
1985	Intelligent computer systems : Philosophical objections to the project of artificial intelligence PhD Theses 1985 (1); by C. D. P. Anderson

1984 (7)

Computing (general) / Communications of the ACM

1984	An Application of Artificial Intelligence to Operations Research Communications of the ACM 1984 (10); by Robert Marcus

Computing (general) / IEEE Computer

1984	Artificial Intelligence for Man-Machine Interface - Guest Editor's Introduction IEEE Computer 1984 (9); by Kamal Karna
1984	The Gradual Expansion of Artificial Intelligence IEEE Computer 1984 (5); by Elaine Rich

Computing (general) / PhD Theses

1984	Communication and Miscommunication (Language, Artificial Intelligence, Natural Understanding) PhD Theses 1984 (1); by Bradley A. Goodman
1984	An artificial intelligence approach to legal reasoning PhD Theses 1984 (1); by Anne v. d. L. Gardner
1984	Qualitative Reasonings With Deep-Level Mechanism Models for Diagnoses of Dependent Failures (Artificial Intelligence) PhD Theses 1984 (1); by Yung-Choa Pan
1984	On the foundation of artificial intelligence and human cognition PhD Theses 1984 (1); by P. A. M. Gelepithis

1982 (1)

Computing (general) / IEEE Computer

1982	Lisp Machines Displayed at AI Conference IEEE Computer 1982 (11); by Ware Myers

1978 (1)

Computing (general) / Communications of the ACM

1978	On the Complexity of Computing the Measure of U[ai, bi] Communications of the ACM 1978 (7); by Michael L. Fredman, Bruce W. Weide

1976 (1)

Computing (general) / PhD Theses

1976	AM, an artificial intelligence approach to discovery in mathematics as heuristic search PhD Theses 1976 (1); by Douglas B. Lenat

1975 (1)

Computing (general) / PhD Theses

1975	A Cybernetical Approach to a General Model in Artificial Intelligence PhD Theses 1975 (1); by A. Sorin

1974 (2)

Computing (general) / ACM Computing Surveys

1974	New Programming Languages for Artificial Intelligence Research ACM Computing Surveys 1974 (3); by Daniel G. Bobrow, Bertram Raphael

Computing (general) / PhD Theses

1974	Artificial intelligence in control of real dynamic systems PhD Theses 1974 (1); by S. Assilian

1973 (1)

Computing (general) / IEEE Computer

1973	Artificial intelligence IEEE Computer 1973 (5); by Bertram Raphael

1968 (1)

Computing (general) / PhD Theses

1968	Machine learning of heuristics PhD Theses 1968 (1); by Donald A. Waterman

1962 (1)

Computing (general) / Communications of the ACM

1962	In defense of artificial intelligence research Communications of the ACM 1962 (1); by Larry Travis