3 papers
cs.AI2026
Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications
Yvon K. Awuklu, Meghyn Bienvenu, Katsumi Inoue +2
In this paper, we develop a novel logic-based approach to detecting high-level temporally extended events from timestamped data and background knowledge. Our framework employs logi…
cs.AI2026
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Doudou Zhou, Han Tong, Linshanshan Wang +21
The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…
cs.LG2025
Synthetic medical data generation: state of the art and application to trauma mechanism classification
Océane Doremus, Ariel Guerra-Adames, Marta Avalos-Fernandez +3
Faced with the challenges of patient confidentiality and scientific reproducibility, research on machine learning for health is turning towards the conception of synthetic medical…