• L. Capitaine, J. Bigot, R. Thiébaut, R. Genuer, Fréchet random forests for metric space valued regression with non euclidean predictors, arXiv:1906.01741 , submitted (2020) [pdf]
  • R. Genuer, J.-M. Poggi, Random Forests with R, Use’R!, Springer (2020) [link] [book site]
  • L. Capitaine, R. Genuer, R. Thiébaut, Random forests for high-dimensional longitudinal data, accepted in Statistical Methods in Medical Research (2020) [doi] [preprint pdf]
  • R. Genuer, J.-M. Poggi, Les forêts aléatoires avec R, Presses Universitaires de Rennes (2019) [link] [book site]
  • M. Chavent, R. Genuer, J. Saracco, Combining clustering of variables and feature selection using random forests, Communications in Statistics – Simulation and Computation, 50(2):426-445 (2021) [doi] [preprint pdf]
  • R. Genuer, J.-M. Poggi, Arbres CART et Forêts aléatoires, Importance et sélection de variables, In Apprentissage Statistique et Données Massives, Maumy-Bertrand M., Saporta G. et Thomas Agnan C. (eds), Technip, p. 295-342 (2018) [link]
  • M. Tabue-Teguo, L. Grasset, J.A. Avila-Funes, R. Genuer, C. Proust-Lima, K. Péres, C. Féart, H. Amieva, M. González-Colaço Harmand, C. Helmer, N. Salles, M. Rainfray, J.-F. Dartigues, Prevalence and Co-Occurrence of Geriatric Syndromes in People Aged 75 Years and Older in France: Results From the Bordeaux Three-city Study, The journals of gerontology. Series A 73(1):109-116 (2018) [doi]
  • L. Zago, P.-Y. Hervé, R. Genuer, A. Laurent, B. Mazoyer, N. Tzourio-Mazoyer, M. Joliot, Predicting hemispheric dominance for language production in healthy individuals using support vector machine, Human Brain Mapping 38(12):5871–5889 (2017) [doi]
  • R. Genuer, J.-M. Poggi, C. Tuleau-Malot, N. Villa-Vialaneix, Random Forests for Big Data, Big Data Research, 9:28-46 (2017) [doi] [preprint pdf]
  • R. Genuer, J.-M. Poggi, Arbres CART et Forêts aléatoires, Importance et sélection de variables, arXiv:1610.08203 (2016) [pdf]
  • S. Arlot, R. Genuer, Comments on: « A Random Forest Guided Tour » by G. Biau and E. Scornet, TEST 25(2):228-238 (2016) [doi] [preprint pdf] [article by Biau and Scornet]
  • R. Genuer, J.-M. Poggi, C. Tuleau-Malot, VSURF: An R Package for Variable Selection Using Random Forests, The R Journal 7(2):19-33 (2015) [pdf on journal’s website]
  • S. Arlot, R. Genuer, Analysis of purely random forests bias, arXiv:1407.3939 (2014) [pdf]
  • R. Genuer, Variance reduction in purely random forests, Journal of Nonparametric Statistics 24(3):543-562 (2012) [doi] [preprint pdf]
  • R. Genuer, J.-M. Poggi, C. Tuleau-Malot, Variable selection using Random Forests, Pattern Recognition Letters 31(14):2225-2236 (2010) [doi] [preprint pdf]
  • R. Genuer, V. Michel, E. Eger, B. Thirion, Random Forests based feature selection for decoding fMRI data, Proceedings of the 19th COMPSTAT p. 1071-1078 (2010) [preprint pdf]
  • R. Genuer, I. Morlais, W. Toussile, Gametocytes infectiousness to mosquitoes: variable selection using random forests, and zero inflated models, arXiv:1101.0344 (2010) [pdf]
  • R. Genuer, J.-M. Poggi, C. Tuleau, Random Forests: some methodological insigths, arXiv:0811.3619 (2008) [pdf]

PhD Thesis