Παρακολούθηση
Bertrand MICHEL
Bertrand MICHEL
Ecole Centrale de Nantes , Nantes Université
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ec-nantes.fr - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Correlation and variable importance in random forests
B Gregorutti, B Michel, P Saint-Pierre
Statistics and Computing 27, 659-678, 2017
7172017
An introduction to topological data analysis: fundamental and practical aspects for data scientists
F Chazal, B Michel
Frontiers in artificial intelligence 4, 108, 2021
4422021
Slope heuristics: overview and implementation
JP Baudry, C Maugis, B Michel
Statistics and Computing 22, 455-470, 2012
2472012
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
1432017
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
1372015
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
1242015
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
120*2014
Estimating the reach of a manifold
E Aamari, J Kim, F Chazal, B Michel, A Rinaldo, L Wasserman
1052019
A non asymptotic penalized criterion for Gaussian mixture model selection
C Maugis, B Michel
ESAIM: Probability and Statistics 15, 41-68, 2011
942011
Statistical Analysis and Parameter Selection for Mapper
M Carriere, B Michel, S Oudot
Journal of Machine Learning Research 19 (12), 2018
772018
Data-driven penalty calibration: a case study for Gaussian mixture model selection
C Maugis, B Michel
ESAIM: Probability and Statistics 15, 320-339, 2011
55*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
482013
Rates of convergence for robust geometric inference
F Chazal, P Massart, B Michel
Electron. J. Statist. 10 (2), 2243-2286, 2016
352016
Adaptive density estimation for clustering with Gaussian mixtures
C Maugis-Rabusseau, B Michel
ESAIM: Probability and Statistics 17, 698-724, 2013
342013
Oil production: A probabilistic model of the Hubbert curve
B Michel
Applied Stochastic Models in Business and Industry 27 (4), 434-449, 2011
322011
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
182013
Learning with tree tensor networks: complexity estimates and model selection
B Michel, A Nouy
Bernoulli 28 (2), 910-936, 2022
172022
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
17*2020
Model selection for simplicial approximation
C Caillerie, B Michel
Foundations of Computational Mathematics 11, 707-731, 2011
172011
Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches
FB Azzouz, B Michel, H Lasla, W Gouraud, AF François, F Girka, ...
Computers in Biology and Medicine 129, 104171, 2021
112021
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