Christophe Biernacki

Christophe Biernacki

Université de Lille

H-index: 22

Europe-France

About Christophe Biernacki

Christophe Biernacki, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Université de Lille,

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

Étude comparative de modèles de clustering de séries temporelles multivariées issues d'objets médicaux connectés

Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach

Parameter-wise co-clustering for high-dimensional data

Comparative study of clustering models for multivariate time series from connected medical devices

Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians

Accompanying note: Model-based Clustering with Missing Not At Random Data

Graphs in OT Testing Graph Abnormality Application to a Real OT Data Set Ongoing & Future Works References

A survey on model-based co-clustering: high dimension and estimation challenges

Christophe Biernacki Information

University

Position

___

Citations(all)

5124

Citations(since 2020)

1902

Cited By

3948

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

42

i10Index(since 2020)

23

Email

University Profile Page

Université de Lille

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Top articles of Christophe Biernacki

Title

Journal

Author(s)

Publication Date

Étude comparative de modèles de clustering de séries temporelles multivariées issues d'objets médicaux connectés

Violaine Courrier

Christophe Biernacki

Cristian Preda

Benjamin Vittrant

2024/1/23

Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach

Statistics and Computing

Filippo Antonazzo

Christophe Biernacki

Christine Keribin

2023/6

Parameter-wise co-clustering for high-dimensional data

Computational Statistics

Michael PB Gallaugher

Christophe Biernacki

Paul D Mcnicholas

2023/9

Comparative study of clustering models for multivariate time series from connected medical devices

arXiv preprint arXiv:2312.17286

Violaine Courrier

Christophe Biernacki

Cristian Preda

Benjamin Vittrant

2023/12/28

Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians

Christophe Biernacki

Vincent Vandewalle

Matthieu Marbac

2023/7/6

Accompanying note: Model-based Clustering with Missing Not At Random Data

Aude Sportisse

Matthieu Marbac

Fabien Laporte

Gilles Celeux

Claire Boyer

...

2023/12/21

Graphs in OT Testing Graph Abnormality Application to a Real OT Data Set Ongoing & Future Works References

C Boinay

C Biernacki

C Preda

2023/7/3

A survey on model-based co-clustering: high dimension and estimation challenges

Journal of Classification

Christophe Biernacki

Julien Jacques

C Keribin

2023/7

Levels Merging in the Latent Class Model

Christophe Biernacki

2023/12/16

Digital Science for Disability Overview of the initiatives undertaken by Inria

Christophe Biernacki

2023/10/25

Clustering: une vision unifiée pour une utilisation éclairée-Partie 3: Formalisation par modèles de mélange

C Biernacki

2023/6/16

Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine

Christophe Biernacki

2022/6/22

Fondamentaux de l’IA et domaines d’application

Christophe Biernacki

2022/5/10

Impact of Missing Data on Mixtures and Clustering

Christophe Biernacki

2022/12/17

Simultaneous Semiparametric Estimation of Clustering and Regression

Journal of Computational and Graphical Statistics

Matthieu Marbac

Mohammed Sedki

Christophe Biernacki

Vincent Vandewalle

2022/4/3

Interpretable domain adaptation using unsupervised feature selection on pre-trained source models

Neurocomputing

Luxin Zhang

Pascal Germain

Yacine Kessaci

Christophe Biernacki

2022/10/28

Traitement statistique des données manquantes-Part I Introduction to modeling

Christophe Biernacki

2022/3/10

Interpretable domain adaptation for hidden subdomain alignment in the context of pre-trained source models

Proceedings of the AAAI Conference on Artificial Intelligence

Luxin Zhang

Pascal Germain

Yacine Kessaci

Christophe Biernacki

2022/6/28

An iterative clustering algorithm for the contextual stochastic block model with optimality guarantees

Guillaume Braun

Hemant Tyagi

Christophe Biernacki

2022/6/28

Dealing with missing data in model-based clustering through a MNAR model

Christophe Biernacki

Claire Boyer

Gilles Celeux

Julie Josse

Fabien Laporte

...

2021/5/11

See List of Professors in Christophe Biernacki University(Université de Lille)

Co-Authors

H-index: 47
Amaury Lendasse

Amaury Lendasse

University of Houston

H-index: 22
Julien JACQUES

Julien JACQUES

Université Lumière Lyon 2

H-index: 14
Stéphane Chrétien

Stéphane Chrétien

Université Lumière Lyon 2

H-index: 9
Serge Iovleff

Serge Iovleff

Université de Lille

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