| Mixture of Gaussians for distance estimation with missing data E Eirola, A Lendasse, V Vandewalle, C Biernacki Neurocomputing 131, 32-42, 2014 | 63 | 2014 |
| Model-based clustering of Gaussian copulas for mixed data M Marbac, C Biernacki, V Vandewalle Communications in Statistics-Theory and Methods 46 (23), 11635-11656, 2017 | 47 | 2017 |
| Statistical tests to compare motif count exceptionalities S Robin, S Schbath, V Vandewalle BMC bioinformatics 8 (1), 1-12, 2007 | 47 | 2007 |
| A multifractal mass transference principle for Gibbs measures with applications to dynamical Diophantine approximation AH Fan, J Schmeling, S Troubetzkoy Proceedings of the London Mathematical Society 107 (5), 1173-1219, 2013 | 46 | 2013 |
| A tractable multi-partitions clustering M Marbac, V Vandewalle Computational Statistics & Data Analysis 132, 167-179, 2019 | 20 | 2019 |
| Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction M Cuvelliez, V Vandewalle, M Brunin, O Beseme, A Hulot, P de Groote, ... Scientific reports 9 (1), 19202, 2019 | 19 | 2019 |
| Model-based clustering for conditionally correlated categorical data M Marbac, C Biernacki, V Vandewalle Journal of Classification 32, 145-175, 2015 | 16 | 2015 |
| Coûts de l’asthme en France: modélisation médico-économique par un modèle de Markov C Chouaid, A Vergnenègre, V Vandewalle, F Liebaert, A Khelifa Revue des maladies respiratoires 21 (3), 493-499, 2004 | 16 | 2004 |
| A predictive deviance criterion for selecting a generative model in semi-supervised classification V Vandewalle, C Biernacki, G Celeux, G Govaert Computational Statistics & Data Analysis 64, 220-236, 2013 | 15 | 2013 |
| The costs of asthma in France: an economic analysis by a Markov model C Chouaid, A Vergnenegre, V Vandewalle, F Liebaert, A Khelifa Revue des Maladies Respiratoires 21 (3 Pt 1), 493-499, 2004 | 14 | 2004 |
| Estimation et sélection en classification semi-supervisée V Vandewalle Université des Sciences et Technologie de Lille-Lille I, 2009 | 11 | 2009 |
| Estimation et sélection en classification semi-supervisée V Vandewalle Université des Sciences et Technologie de Lille-Lille I, 2009 | 11 | 2009 |
| Multi-partitions subspace clustering V Vandewalle Mathematics 8 (4), 597, 2020 | 10 | 2020 |
| Reject inference methods in credit scoring A Ehrhardt, C Biernacki, V Vandewalle, P Heinrich, S Beben Journal of Applied Statistics 48 (13-15), 2734-2754, 2021 | 7 | 2021 |
| Finite mixture model of conditional dependencies modes to cluster categorical data M Marbac, C Biernacki, V Vandewalle arXiv preprint arXiv:1402.5103, 2014 | 7 | 2014 |
| Latent class model with conditional dependency per modes to cluster categorical data M Marbac, C Biernacki, V Vandewalle Advances in Data Analysis and Classification 10, 183-207, 2016 | 4 | 2016 |
| Are unlabeled data useful in semi-supervised model-based classification? Combining hypothesis testing and model choice V Vandewalle, C Biernacki, G Celeux, G Govaert Proceedings of the First Joint Meeting of the Société Francophone de …, 2008 | 4 | 2008 |
| Clustering spatial functional data V Vandewalle, C Preda, S Dabo‐Niang Geostatistical Functional Data Analysis, 155-174, 2022 | 3 | 2022 |
| Les logiciels et l'enseignement de la statistique dans les départements" Statistique et Informatique Décisionnelle"(STID) des IUT G Grégoire, FX Jollois, JF Petiot, A Qannari, S Sabourin, P Swertwaegher, ... Statistique et Enseignement 2 (2), 5-24, 2012 | 3 | 2012 |
| Sélection prédictive d'un modèle génératif par le critère AICp V Vandewalle 41èmes Journées de Statistique, SFdS, Bordeaux, 2009 | 3 | 2009 |
