Recent Advances in Autonomous Driving Safety

A Comprehensive Survey of Multimodal Fake News Detection: Datasets, Methods, and Challenges

Federated Continual Learning for Privacy-Preserving, Reliable and Interpretable Multi-Center Corneal Diseases Diagnosis

Safe Offline Reinforcement Learning for Sepsis Treatment: A Two-Stage Framework Combining Constraint-Aware Learning with Runtime Safety Filtering

T-Cell Receptor Repertoire in Autoimmune Diseases and Their Machine Learning-Based Prediction Analysis

Recent Advancements of Transcranial Direct Current Stimulation and Machine Learning: Methods, Challenges, and Opportunities

Recent Advances in Artificial Intelligence for Music Education

FedA⁴: Federated Learning with Anti-Bias Aggregation and TrAjectory-Based Adaptation