Bertrand MICHEL

Bertrand MICHEL

École Centrale de Nantes

H-index: 17

Europe-France

About Bertrand MICHEL

Bertrand MICHEL, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at École Centrale de Nantes, specializes in the field of topological data analysis, statistical learning, clustering, model selection, random forests.

His recent articles reflect a diverse array of research interests and contributions to the field:

Differentiable mapper for topological optimization of data representation

Kernel-based testing for single-cell differential analysis

Topological signatures of periodic-like signals

Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service

Abstract P5-02-37: Multi-omics approach to identify markers of resistance to endocrine therapy+ CDK4/6 inhibitors in first line HR+/HER2-metastatic breast cancer (MBC) patients

Weighted least-squares approximation with determinantal point processes and generalized volume sampling

Statistical analysis of Mapper for stochastic and multivariate filters

Topological Data Analysis and its usefulness for precision medicine studies

Bertrand MICHEL Information

University

Position

___

Citations(all)

2764

Citations(since 2020)

2059

Cited By

1403

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

22

i10Index(since 2020)

19

Email

University Profile Page

École Centrale de Nantes

Google Scholar

View Google Scholar Profile

Bertrand MICHEL Skills & Research Interests

topological data analysis

statistical learning

clustering

model selection

random forests

Top articles of Bertrand MICHEL

Title

Journal

Author(s)

Publication Date

Differentiable mapper for topological optimization of data representation

arXiv preprint arXiv:2402.12854

Ziyad Oulhaj

Mathieu Carrière

Bertrand Michel

2024/2/20

Kernel-based testing for single-cell differential analysis

arXiv preprint arXiv:2307.08509

Anthony Ozier-Lafontaine

Camille Fourneaux

Ghislain Durif

Céline Vallot

Olivier Gandrillon

...

2023/7/17

Topological signatures of periodic-like signals

arXiv preprint arXiv:2306.13453

Wojciech Reise

Bertrand Michel

Frédéric Chazal

2023/6/23

Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service

Journal of Applied Statistics

Panayotis Papoutsis

Tarn Duong

Bertrand Michel

Anne Philippe

2023/4/26

Abstract P5-02-37: Multi-omics approach to identify markers of resistance to endocrine therapy+ CDK4/6 inhibitors in first line HR+/HER2-metastatic breast cancer (MBC) patients

Cancer Research

Jean Sebastien FRENEL

Fadoua Ben Azzouz

Frederic Bigot

Jonathan Dauve

Marie Francoise Heymann

...

2023/3/1

Weighted least-squares approximation with determinantal point processes and generalized volume sampling

arXiv preprint arXiv:2312.14057

Anthony Nouy

Bertrand Michel

2023/12/21

Statistical analysis of Mapper for stochastic and multivariate filters

Journal of Applied and Computational Topology

Mathieu Carrière

Bertrand Michel

2022/9

Topological Data Analysis and its usefulness for precision medicine studies

SORT-Statistics and Operations Research Transactions

Raquel Iniesta

Ewan Carr

Mathieu Carriere

Naya Yerolemou

Bertrand Michel

...

2022/6/2

Topological phase estimation method for reparameterized periodic functions

arXiv preprint arXiv:2205.14390

Thomas Bonis

Frédéric Chazal

Bertrand Michel

Wojciech Reise

2022/5/28

Learning with tree tensor networks: complexity estimates and model selection

Bernoulli

Bertrand Michel

Anthony Nouy

2022/5

Topological data analysis

Jean-Daniel Boissonnat

Frédéric Chazal

Bertrand Michel

2022/3/31

A simplified algorithm for identifying abnormal changes in dynamic networks

Physica A: Statistical Mechanics and its Applications

Bouchaib Azamir

Driss Bennis

Bertrand Michel

2022/12/1

Identifying homogeneous subgroups of patients and important features: a topological machine learning approach

BMC bioinformatics

Ewan Carr

Mathieu Carrière

Bertrand Michel

Frédéric Chazal

Raquel Iniesta

2021/12

An introduction to topological data analysis: fundamental and practical aspects for data scientists

Frédéric Chazal

Bertrand Michel

2021/9/29

Development of an absolute assignment predictor for triple-negative breast cancer subtyping using machine learning approaches

Computers in Biology and Medicine

Fadoua Ben Azzouz

Bertrand Michel

Hamza Lasla

Wilfried Gouraud

Anne-Flore François

...

2021/2/1

Gaussian linear model selection in a dependent context

Electronic Journal of Statistics

Emmanuel Caron

Jérôme Dedecker

Bertrand Michel

2021

Detecting and modeling critical dependence structures between random inputs of computer models

Dependence Modeling

Nazih Benoumechiara

Nicolas Bousquet

Bertrand Michel

Philippe Saint-Pierre

2020/1/1

See List of Professors in Bertrand MICHEL University(École Centrale de Nantes)

Co-Authors

H-index: 89
Larry Wasserman

Larry Wasserman

Carnegie Mellon University

H-index: 43
Philippe Paul JUIN

Philippe Paul JUIN

Université de Nantes

H-index: 40
Alessandro Rinaldo

Alessandro Rinaldo

Carnegie Mellon University

H-index: 33
Anthony NOUY

Anthony NOUY

École Centrale de Nantes

H-index: 20
Ewan Carr

Ewan Carr

King's College London

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