output
20202025
most citedStratified cross-validation for unbiased and privacy-preserving federated learning

60 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.CL2025

MediQAl: A French Medical Question Answering Dataset for Knowledge and Reasoning Evaluation

Adrien Bazoge

This work introduces MediQAl, a French medical question answering dataset designed to evaluate the capabilities of language models in factual medical recall and reasoning over real…

cs.LG2022★ 1 cited

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities

Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo +1

In brain-computer interfaces (BCI), most of the approaches based on event-related potential (ERP) focus on the detection of P300, aiming for single trial classification for a spell…

cs.RO2021

D{é}composition et analyse de trac{é}s EMG pour aider au diagnostic des maladies neuromusculaires

Arthur Bureau, Jean-Maxime Le Carpentier, Eric Le Carpentier +2

The electromyogram (EMG) in needle detection represents one of the steps of the electroneuromyogram (ENMG), an examination commonly performed in neurology. By inserting a needle in…

stat.ML2020★ 60 cited

Stratified cross-validation for unbiased and privacy-preserving federated learning

R. Bey, R. Goussault, M. Benchoufi +1

Large-scale collections of electronic records constitute both an opportunity for the development of more accurate prediction models and a threat for privacy. To limit privacy expos…