| Estimation and selection for the latent block model on categorical data C Keribin, V Brault, G Celeux, G Govaert Statistics and Computing 25 (6), 1201-1216, 2015 | 156 | 2015 |
| Co-clustering through optimal transport C Laclau, I Redko, B Matei, Y Bennani, V Brault International conference on machine learning, 1955-1964, 2017 | 53 | 2017 |
| Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance V Brault, B Mallein, JF Rupprecht PLoS computational biology 17 (3), e1008726, 2021 | 49 | 2021 |
| Comparing high-dimensional partitions with the co-clustering adjusted rand index V Robert, Y Vasseur, V Brault Journal of Classification 38, 158-186, 2021 | 48 | 2021 |
| Model selection for the binary latent block model C Keribin, V Brault, G Celeux, G Govaert Proceedings of COMPSTAT 2012, 2012 | 36 | 2012 |
| Consistency and asymptotic normality of Latent Block Model estimators V Brault, C Keribin, M Mariadassou | 30 | 2020 |
| Co-clustering through latent bloc model: A review V Brault, M Mariadassou Journal de la Société Française de Statistique 156 (3), 120-139, 2015 | 23 | 2015 |
| Analysis of graphomotor tests with machine learning algorithms for an early and universal pre-diagnosis of dysgraphia L Devillaine, R Lambert, J Boutet, S Aloui, V Brault, C Jolly, E Labyt Sensors 21 (21), 7026, 2021 | 19 | 2021 |
| Development of a pre-diagnosis tool based on machine learning Algorithms on the BHK test to improve the diagnosis of dysgraphia L Deschamps, L Devillaine, C Gaffet, R Lambert, S Aloui, J Boutet, ... Advances in Artificial Intelligence and Machine Learning 1 (2), 114-135, 2021 | 18 | 2021 |
| Estimation et sélection de modèle pour le modèle des blocs latents V Brault Université Paris Sud-Paris XI, 2014 | 16 | 2014 |
| Methodological issues in the creation of a diagnosis tool for dysgraphia L Deschamps, C Gaffet, S Aloui, J Boutet, V Brault, E Labyt NPJ digital Medicine 2 (1), 36, 2019 | 13 | 2019 |
| Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices V Brault, S Ouadah, L Sansonnet, C Lévy-Leduc Journal of Multivariate Analysis 165, 143-165, 2018 | 13 | 2018 |
| Fast and consistent algorithm for the latent block model V Brault, A Channarond arXiv preprint arXiv:1610.09005, 2016 | 13* | 2016 |
| Revue des méthodes pour la classification jointe des lignes et des colonnes d’un tableau V Brault, A Lomet Journal de la Société Française de Statistique 156 (3), 27-51, 2015 | 11 | 2015 |
| capushe: CAlibrating Penalities Using Slope HEuristics S Arlot, V Brault, JP Baudry, C Maugis, B Michel R package version 1 (1), 1, 2016 | 8 | 2016 |
| Noise-free latent block model for high dimensional data C Laclau, V Brault Data Mining and Knowledge Discovery 33, 446-473, 2019 | 7 | 2019 |
| Efficient block boundaries estimation in block-wise constant matrices: An application to HiC data V Brault, J Chiquet, C Lévy-Leduc | 6 | 2017 |
| Methods for co-clustering: a review V Brault, A Lomet HAL 2015, 2015 | 6 | 2015 |
| blockcluster: Coclustering Package for Binary, Categorical, Contingency and Continuous Data-Sets S Iovleff, P Singh Bhatia, J Demont, V Brault, V Kubicki, G Govaert, ... R package version 4 (2), 2015 | 5 | 2015 |
| Change-point detection, segmentation, and related topics JM Bardet, V Brault, S Dachian, F Enikeeva, B Saussereau ESAIM: Proceedings and Surveys 68, 97-122, 2020 | 4 | 2020 |
Gilles CeleuxDirecteur de recherche InriaAdresse e-mail validée de inria.fr
