49 citations · 56 across the 8 of their papers we have counts for
11 papers
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…
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…
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…
Mixture of segmentation for heterogeneous functional data
Vincent Brault, Émilie Devijver, Charlotte Laclau
In this paper we consider functional data with heterogeneity in time and in population. We propose a mixture model with segmentation of time to represent this heterogeneity while k…
Group testing as a strategy for the epidemiologic monitoring of COVID-19
Vincent Brault, Bastien Mallein, Jean-Francois Rupprecht
Sample pooling consists in combining samples from multiple individuals into a single pool that is then tested using a unique test-kit. A positive test means that at least one indiv…
Co-clustering through Optimal Transport
Charlotte Laclau, Ievgen Redko, Basarab Matei +2
In this paper, we present a novel method for co-clustering, an unsupervised learning approach that aims at discovering homogeneous groups of data instances and features by grouping…