| Variable selection using random forests R Genuer, JM Poggi, C Tuleau-Malot Pattern Recognition Letters 31 (14), 2225-2236, 2010 | 1570 | 2010 |
| VSURF: an R package for variable selection using random forests R Genuer, JM Poggi, C Tuleau-Malot The R Journal 7 (2), 19-33, 2015 | 253 | 2015 |
| Random forests for big data R Genuer, JM Poggi, C Tuleau-Malot, N Villa-Vialaneix Big Data Research 9, 28-46, 2017 | 169 | 2017 |
| Random Forests: some methodological insights R Genuer, JM Poggi, C Tuleau arXiv preprint arXiv:0811.3619, 2008 | 152 | 2008 |
| Variance reduction in purely random forests R Genuer Journal of Nonparametric Statistics 24 (3), 543-562, 2012 | 88* | 2012 |
| Analysis of purely random forests bias S Arlot, R Genuer arXiv preprint arXiv:1407.3939, 2014 | 61 | 2014 |
| Forêts aléatoires: aspects théoriques, sélection de variables et applications R Genuer Université Paris Sud-Paris XI, 2010 | 42* | 2010 |
| Random Forests based feature selection for decoding fMRI data R Genuer, V Michel, E Eger, B Thirion Proceedings Compstat 267, 1-8, 2010 | 30 | 2010 |
| Prevalence and co-occurrence of geriatric syndromes in people aged 75 years and older in France: results from the Bordeaux three-city study M Tabue-Teguo, L Grasset, JA Avila-Funes, R Genuer, C Proust-Lima, ... The Journals of Gerontology: Series A 73 (1), 109-116, 2018 | 27 | 2018 |
| Predicting hemispheric dominance for language production in healthy individuals using support vector machine L Zago, PY Hervé, R Genuer, A Laurent, B Mazoyer, N Tzourio‐Mazoyer, ... Human Brain Mapping 38 (12), 5871-5889, 2017 | 19 | 2017 |
| Arbres CART et Forêts aléatoires, Importance et sélection de variables R Genuer, JM Poggi | 17 | 2017 |
| Combining clustering of variables and feature selection using random forests M Chavent, R Genuer, J Saracco Communications in Statistics-Simulation and Computation 50 (2), 426-445, 2021 | 8 | 2021 |
| Comments on: A random forest guided tour S Arlot, R Genuer Test 25 (2), 228-238, 2016 | 4 | 2016 |
| ClustOf-Var: an r package for dimension reduction via clustering of variables. application in supervised classification and variable selection in gene expressions data M Chavent, R Genuer, V Kuentz-Simonet, B Liquet, J Saracco Statistical Methods for (post)-Genomics Data (SMPGD 2013), 2013 | 3 | 2013 |
| Combining clustering of variables and random forests for high-dimensional supervised classification M Chavent, R Genuer, J Saracco 20th International Conference on Computational Statistics (COMPSTAT …, 2012 | 3 | 2012 |
| Gametocytes infectiousness to mosquitoes: variable selection using random forests, and zero inflated models R Genuer, I Morlais, W Toussile arXiv preprint arXiv:1101.0344, 2011 | 3 | 2011 |
| Random forests for high-dimensional longitudinal data L Capitaine, R Genuer, R Thiébaut Statistical Methods in Medical Research, 0962280220946080, 2020 | 2 | 2020 |
| Fréchet random forests for metric space valued regression with non euclidean predictors L Capitaine, J Bigot, R Thiébaut, R Genuer | 1 | 2020 |
| Random Forests with R R Genuer, JM Poggi Springer, 2020 | 1 | 2020 |
| Random Forests R Genuer, JM Poggi Random Forests with R, 33-55, 2020 | 1 | 2020 |
Jean-Michel PoggiProfessor, Lab. Maths Orsay (LMO), Univ. Paris-Saclay & Université Paris, FranceVerified email at math.u-psud.fr
