4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse
Edouard Lansiaux, Hugo Kazzi, Aurélien Loison +2
Multi-table learning remains a major challenge in machine learning for healthcare and other complex information systems. Relational data combine several sources of complexity, incl…
cs.LG2025★ 4 cited
Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept
Edouard Lansiaux, Ramy Azzouz, Emmanuel Chazard +2
Emergency departments struggle with persistent triage errors, especially undertriage and overtriage, which are aggravated by growing patient volumes and staff shortages. This study…