3 papers
stat.ME2026
Examining the robustness of a model selection procedure in the binary latent block model through a language placement test data set
Vincent Brault, Frédérique Letué, Marie-José Martinez
When entering French university, the students' foreign language level is assessed through a placement test. In this work, we model the placement test results using binary latent bl…
stat.ME2025
Classification of multiple segmented profiles, application to the study of the neuronal protein Tau
Vincent Brault, Emilie Lebarbier, Amélie Rosier +1
This work is motivated by an application in neuroscience, in particular by the study of the (dys)functioning of a protein called Tau. The objective is to establish a classification…
cs.AI2025
Study of the influence of a biased database on the prediction of standard algorithms for selecting the best candidate for an interview
Shuyu Wang, Angélique Saillet, Philomène Le Gall +3
Artificial intelligence is used at various stages of the recruitment process to automatically select the best candidate for a position, with companies guaranteeing unbiased recruit…