| Model selection for CART regression trees S Gey, E Nedelec IEEE Transactions on Information Theory 51 (2), 658-670, 2005 | 148 | 2005 |
| Construction and analysis of a head CT-scan database for craniofacial reconstruction F Tilotta, F Richard, J Glaunès, M Berar, S Gey, S Verdeille, Y Rozenholc, ... Forensic science international 191 (1-3), 112. e1-112. e12, 2009 | 90 | 2009 |
| Boosting and instability for regression trees S Gey, JM Poggi Computational statistics & data analysis 50 (2), 533-550, 2006 | 53 | 2006 |
| Using CART to detect multiple change points in the mean for large sample S Gey, E Lebarbier | 32 | 2008 |
| Influence measures for CART classification trees A Bar-Hen, S Gey, JM Poggi Journal of Classification 32, 21-45, 2015 | 28 | 2015 |
| Functional data analysis in sport science: Example of swimmers’ progression curves clustering A Leroy, A Marc, O Dupas, JL Rey, S Gey Applied Sciences 8 (10), 1766, 2018 | 27 | 2018 |
| MAGMA: inference and prediction using multi-task Gaussian processes with common mean A Leroy, P Latouche, B Guedj, S Gey Machine Learning 111 (5), 1821-1849, 2022 | 20 | 2022 |
| Cluster-specific predictions with multi-task Gaussian processes A Leroy, P Latouche, B Guedj, S Gey Journal of Machine Learning Research 24 (5), 1-49, 2023 | 17 | 2023 |
| Risk bounds for cart classifiers under a margin condition S Gey Pattern Recognition 45 (9), 3523-3534, 2012 | 11 | 2012 |
| Risk bounds for CART regression trees S Gey, E Nedelec Nonlinear estimation and classification, 369-379, 2003 | 11 | 2003 |
| Bornes de risque, détection de ruptures, boosting: trois thèmes statistiques autour de CART en régression S Gey Paris 11, 2002 | 11 | 2002 |
| Risk bounds for embedded variable selection in classification trees S Gey, T Mary-Huard IEEE Transactions on Information Theory 60 (3), 1688-1699, 2014 | 10 | 2014 |
| Vapnik–Chervonenkis dimension of axis-parallel cuts S Gey Communications in Statistics-Theory and Methods 47 (9), 2291-2296, 2018 | 9 | 2018 |
| Spatial CART classification trees A Bar-Hen, S Gey, JM Poggi Computational Statistics, 1-23, 2021 | 6 | 2021 |
| A CART Based Algorithm for Detection of Multiple Change Points in the Mean for Large Samples S Gey, E Lebarbier Université de Paris-Sud. Département de Mathématique, 2002 | 6 | 2002 |
| Statistical Facial reconstruction by tree functional regression on surfaces F Tilotta, S Gey, J Glaunès, F Richard, Ë Verdeille, JF Gaudy, ... Proc. of the third Mediterranean Academy of Forensic Sciences Congress …, 2007 | 3 | 2007 |
| Boosting and instability for regression trees S Gey, JM Poggi Université de Paris-Sud. Département de Mathématique, 2002 | 3 | 2002 |
| Influence functions for CART AB Hen, S Gey, JM Poggi | 2 | 2014 |
| Margin adaptive risk bounds for classification trees S Gey stat, 2009 | 2 | 2009 |
| Discussion sur" Pénalités minimales et heuristique de pente" par Sylvain Arlot S Gey Journal de la Société Française de Statistique 160 (3), 126-135, 2019 | | 2019 |
Avner Bar-HenCNAMVerifisert e-postadresse på cnam.fr