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Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Anthony Devaux
,
Robin Genuer
,
Karine Pérès
,
Cécile Proust-Lima
2022
Pré-publication, Document de travail
hal-03128543v2
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VSURF: An R Package for Variable Selection Using Random Forests
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
The R Journal, 2015, 7 (2), pp.19-33
Article dans une revue
hal-01251924v1
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Random Forests for time-fixed and time-dependent predictors: The DynForest R package
Anthony Devaux
,
Cécile Proust-Lima
,
Robin Genuer
2024
Pré-publication, Document de travail
hal-03970683v2
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Random forests for big data
Nathalie N. Villa-Vialaneix
,
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
Journées de Statistique de Rennes (JSTAR), Oct 2016, Rennes, France
Communication dans un congrès
hal-02796431v1
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VSURF : un package R pour la sélection de variables à l'aide de forêts aléatoires
R Genuer
,
J.-M Poggi
,
C Tuleau-Malot
3èmes Rencontres R, 2014, Montpellier, France
Communication dans un congrès
hal-01096237v1
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Random Forests for Big Data
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
,
Nathalie Vialaneix
Article dans une revue
hal-01233923v2
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Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet
Sylvain Arlot
,
Robin Genuer
Article dans une revue
hal-01297557v1
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Random Forests: some methodological insights
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau
[Research Report] RR-6729, INRIA. 2008
Rapport
inria-00340725v1
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Combining clustering of variables and feature selection using random forests
Marie Chavent
,
Robin Genuer
,
Jerome Saracco
2016
Pré-publication, Document de travail
hal-01345840v3
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ClustOfVar : an R package for dimension reduction via clustering of variables. Application in supervised classification and variable selection in gene expressions data
Marie Chavent
,
Robin Genuer
,
Vanessa Kuentz-Simonet
,
Benoit Liquet
,
Jerôme Saracco
Statistical Methods for (post)-Genomics Data (SMPGD 2013), Jan 2013, Netherlands
Communication dans un congrès
hal-00926216v1
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VSURF : un package R pour la sélection de variables à l'aide de forêts aléatoires
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
46èmes Journées de Statistique, 2014, Rennes, France
Communication dans un congrès
hal-01096233v1
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Forêts aléatoires : aspects théoriques, sélection de variables et applications
Robin Genuer
Mathématiques [math]. Université Paris Sud - Paris XI, 2010. Français. ⟨NNT : ⟩
Thèse
tel-00550989v1
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Random forests for big data
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
,
Nathalie Villa-Vialaneix
Data Science, Statistics & Visualization (DSSV) 2018, Jul 2018, Vienne, Austria
Communication dans un congrès
hal-02787208v1
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Random forests for big data
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
,
Nathalie Villa-Vialaneix
10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, Londres, United Kingdom
Communication dans un congrès
hal-02785199v1
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Risk bounds for purely uniformly random forests
Robin Genuer
[Research Report] RR-7318, INRIA. 2010, pp.19
Rapport
inria-00492231v1
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Functional principal component analysis as an alternative to mixed-effect models for describing sparse repeated measures in presence of missing data
Corentin Segalas
,
Catherine Helmer
,
Robin Genuer
,
Cécile Proust-Lima
2024
Pré-publication, Document de travail
hal-04464830v1
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Variable selection using Random Forests
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
Pattern Recognition Letters, 2010, 31 (14), pp.2225-2236
Article dans une revue
hal-00755489v1
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Fréchet random forests for metric space valued regression with non Euclidean predictors
Louis Capitaine
,
Jérémie Bigot
,
Rodolphe Thiébaut
,
Robin Genuer
2024
Pré-publication, Document de travail
hal-03066146v1
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Variance reduction in purely random forests
Robin Genuer
Article dans une revue
hal-01590513v1
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Random survival forests with multivariate longitudinal endogenous covariates
Anthony Devaux
,
Catherine Helmer
,
Robin Genuer
,
Cécile Proust-Lima
2023
Pré-publication, Document de travail
hal-03747106v3
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Forêts aléatoires : remarques méthodologiques
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France
Communication dans un congrès
inria-00386665v1
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Random Forests with R
Robin Genuer
,
Jean-Michel Poggi
Ouvrages
hal-03066152v1
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Random forests and big data
Robin Genuer
,
Jean-Michel Poggi
,
Christine Tuleau-Malot
,
Nathalie Villa-Vialaneix
47ème Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France
Communication dans un congrès
hal-01160643v1
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Les forêts aléatoires avec R
Robin Genuer
,
Jean-Michel Poggi
Ouvrages
hal-02409535v1
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Arbres CART et Forêts aléatoires, Importance et sélection de variables
Robin Genuer
,
Jean-Michel Poggi
2017
Pré-publication, Document de travail
hal-01387654v2
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Analysis of purely random forests bias
Sylvain Arlot
,
Robin Genuer
[Research Report] -. 2014
Rapport
hal-01023596v1
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Predicting hemispheric dominance for language production in healthy individuals using support vector machine
Laure Zago
,
Pierre-Yves Hervé
,
Robin Genuer
,
Alexandre Laurent
,
Bernard Mazoyer
,
et al.
Article dans une revue
hal-01590497v1
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Combining clustering of variables and feature selection using random forests
Marie Chavent
,
Robin Genuer
,
Jerome Saracco
Article dans une revue
hal-02013631v1
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Random forests for high-dimensional longitudinal data
Louis Capitaine
,
Robin Genuer
,
Rodolphe Thiébaut
2019
Pré-publication, Document de travail
hal-02002979v1
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Prevalence and Co-Occurrence of Geriatric Syndromes in People Aged 75 Years and Older in France: Results From the Bordeaux Three-city Study
Maturin Tabue-Teguo
,
Leslie Grasset
,
José Alberto Avila-Funes
,
Robin Genuer
,
Cécile Proust-Lima
,
et al.
Article dans une revue
hal-01652204v1
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