Bertrand MICHEL
标题
引用次数
引用次数
年份
Correlation and variable importance in random forests
B Gregorutti, B Michel, P Saint-Pierre
Statistics and Computing 27 (3), 659-678, 2017
3832017
Slope heuristics: overview and implementation
JP Baudry, C Maugis, B Michel
Statistics and Computing 22 (2), 455-470, 2012
2052012
An introduction to topological data analysis: fundamental and practical aspects for data scientists
F Chazal, B Michel
Frontiers in Artificial Intelligence 4, 2021
1912021
Robust topological inference: Distance to a measure and kernel distance
F Chazal, B Fasy, F Lecci, B Michel, A Rinaldo, A Rinaldo, L Wasserman
The Journal of Machine Learning Research 18 (1), 5845-5884, 2017
1052017
Subsampling methods for persistent homology
F Chazal, B Fasy, F Lecci, B Michel, A Rinaldo, L Wasserman
International Conference on Machine Learning, 2143-2151, 2015
892015
Grouped variable importance with random forests and application to multiple functional data analysis
B Gregorutti, B Michel, P Saint-Pierre
Computational Statistics & Data Analysis 90, 15-35, 2015
832015
A non asymptotic penalized criterion for Gaussian mixture model selection
C Maugis, B Michel
ESAIM: Probability and Statistics 15, 41-68, 2011
832011
Convergence rates for persistence diagram estimation in topological data analysis
F Chazal, M Glisse, C Labruère, B Michel
International Conference on Machine Learning, 163-171, 2014
82*2014
Estimating the reach of a manifold
E Aamari, J Kim, F Chazal, B Michel, A Rinaldo, L Wasserman
Electronic journal of statistics 13 (1), 1359-1399, 2019
522019
Statistical Analysis and Parameter Selection for Mapper
M Carriere, B Michel, S Oudot
Journal of Machine Learning Research 19 (12), 2018
512018
Data-driven penalty calibration: a case study for Gaussian mixture model selection
C Maugis, B Michel
ESAIM: Probability and Statistics 15, 320-339, 2011
47*2011
Deconvolution for the Wasserstein metric and geometric inference
C Caillerie, F Chazal, J Dedecker, B Michel
International Conference on Geometric Science of Information, 561-568, 2013
422013
Oil Production: A probabilistic model of the Hubbert curve
B Michel
Applied Stochastic Models in Business and Industry 27 (4), 434-449, 2011
282011
Rates of convergence for robust geometric inference
F Chazal, P Massart, B Michel
Electronic journal of statistics 10 (2), 2243-2286, 2016
242016
Adaptive density estimation for clustering with Gaussian mixtures
C Maugis-Rabusseau, B Michel
ESAIM: Probability and Statistics 17, 698-724, 2013
222013
Detecting and modeling critical dependence structures between random inputs of computer models
N Benoumechiara, N Bousquet, B Michel, P Saint-Pierre
Dependence Modeling 8 (1), 263-297, 2020
14*2020
Model selection for simplicial approximation
C Caillerie, B Michel
Foundations of Computational Mathematics 11 (6), 707-731, 2011
142011
Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension
J Dedecker, B Michel
Journal of Multivariate Analysis 122, 278-291, 2013
102013
Modélisation de la production d'hydrocarbures dans un bassin pétrolier
B Michel
Université Paris Sud-Paris XI, 2008
92008
Stride detection for pedestrian trajectory reconstruction: A machine learning approach based on geometric patterns
B Beaufils, F Chazal, M Grelet, B Michel
2017 International Conference on Indoor Positioning and Indoor Navigation …, 2017
72017
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