Variable selection using random forests. - Robin Genuer; Jean-Michel Poggi; Christine Tuleau-Malot (Pattern Recognit. Lett., 2010)

Analysis of purely random forests bias. - Sylvain Arlot; Robin Genuer (CoRR, 2014)

VSURF: An R Package for Variable Selection Using Random Forests. - Robin Genuer; Jean-Michel Poggi; Christine Tuleau-Malot (R J., 2015)

Random Forests for Big Data. - Robin Genuer; Jean-Michel Poggi; Christine Tuleau-Malot; Nathalie Villa-Vialaneix (Big Data Res., 2017)

Fréchet random forests. - Louis Capitaine; Robin Genuer; Rodolphe Thiébaut (CoRR, 2019)

Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach. - Anthony Devaux; Robin Genuer; Karine Pérès; Cécile Proust-Lima (CoRR, 2021)

Combining clustering of variables and feature selection using random forests. - Marie Chavent; Robin Genuer; Jérôme Saracco (Commun. Stat. Simul. Comput., 2021)

Random Forests for time-fixed and time-dependent predictors: The DynForest R package. - Anthony Devaux; Cécile Proust-Lima; Robin Genuer (CoRR, 2023)