A random forest guided tour G Biau, E Scornet
Test 25, 197-227, 2016
3641 2016 Analysis of a random forests model G Biau
The Journal of Machine Learning Research 13 (1), 1063-1095, 2012
2004 2012 Consistency of random forests and other averaging classifiers. G Biau, L Devroye, G Lugosi
Journal of Machine Learning Research 9 (9), 2008
810 2008 Consistency of random forests E Scornet, G Biau, JP Vert
703 2015 Lectures on the nearest neighbor method G Biau, L Devroye
Springer, 2015
354 2015 Functional classification in Hilbert spaces G Biau, F Bunea, MH Wegkamp
IEEE Transactions on Information Theory 51 (6), 2163-2172, 2005
204 2005 On the performance of clustering in Hilbert spaces G Biau, L Devroye, G Lugosi
IEEE Transactions on Information Theory 54 (2), 781-790, 2008
186 2008 On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification G Biau, L Devroye
Journal of Multivariate Analysis 101 (10), 2499-2518, 2010
174 2010 Supervised reconstruction of biological networks with local models K Bleakley, G Biau, JP Vert
Bioinformatics 23 (13), i57-i65, 2007
149 2007 Estimation of precipitation by kriging in the EOF space of thesea level pressure field G Biau, E Zorita, H von Storch, H Wackernagel
Journal of climate 12 (4), 1070-1085, 1999
147 1999 Accelerated gradient boosting G Biau, B Cadre, L Rouvěčre
Machine learning 108, 971-992, 2019
145 2019 New insights into approximate Bayesian computation G Biau, F Cérou, A Guyader
Annales de l'IHP Probabilités et statistiques 51 (1), 376-403, 2015
139 2015 Neural random forests G Biau, E Scornet, J Welbl
Sankhya A 81 (2), 347-386, 2019
137 2019 Nonparametric spatial prediction G Biau, B Cadre
Statistical Inference for Stochastic Processes 7, 327-349, 2004
126 2004 Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory J Kruppa, Y Liu, G Biau, M Kohler, IR König, JD Malley, A Ziegler
Biometrical Journal 56 (4), 534-563, 2014
114 2014 Sparse single-index model. P Alquier, G Biau
Journal of Machine Learning Research 14 (1), 2013
114 2013 On the Rate of Convergence of the Bagged Nearest Neighbor Estimate. G Biau, F Cérou, A Guyader
Journal of Machine Learning Research 11 (2), 2010
102 2010 A weighted k -nearest neighbor density estimate for geometric inference G Biau, F Chazal, D Cohen-Steiner, L Devroye, C Rodriguez
95 2011 Interpretable random forests via rule extraction C Bénard, G Biau, S Da Veiga, E Scornet
International Conference on Artificial Intelligence and Statistics, 937-945, 2021
90 2021 Rates of Convergence of the Functional -Nearest Neighbor Estimate G Biau, F Cérou, A Guyader
IEEE Transactions on Information Theory 56 (4), 2034-2040, 2010
77 2010