Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Reviewby Selestine Melchane, Youssef Elmir,…
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applicationsby Ankita Agarwal,…
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approachby Abdullah Abdullah, Fannya Ratana Sandjaja,…
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Reviewby Hossein…
On the Cost of Model-Serving Frameworks: An Experimental Evaluationby Pasquale De Rosa, Yérom-David Bromberg, Pascal…
Comparative Analysis of Machine Learning Approaches for Bone Age Assessment: A Comprehensive Study on Three…
Weakly-Supervised Multimodal Learning on MIMIC-CXRby Andrea Agostini, Daphné Chopard, Yang Meng, Norbert Fortin, Babak Shahbaba,…
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learningby Moritz Schneider, Robert Krug,…
Fair Resource Allocation in Weakly Coupled Markov Decision Processesby Xiaohui Tu, Yossiri Adulyasak, Nima Akbarzadeh,…
Evaluating Loss Landscapes from a Topology Perspectiveby Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang,…