Christophe Biernacki

According to our database, Christophe Biernacki authored at least 44 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Parameter-wise co-clustering for high-dimensional data.

Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas

Comput. Stat., September, 2023

A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges.

Christophe Biernacki, Julien Jacques, Christine Keribin

J. Classif., July, 2023

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

Filippo Antonazzo, Christophe Biernacki, Christine Keribin

Stat. Comput., June, 2023

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

Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant

CoRR, 2023

2022

Simultaneous Semiparametric Estimation of Clustering and Regression.

Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle

J. Comput. Graph. Stat., January, 2022

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

Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Neurocomputing, 2022

An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees.

Guillaume Braun, Hemant Tyagi, Christophe Biernacki

Proceedings of the International Conference on Machine Learning, 2022

Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models.

Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Model-based Clustering with Missing Not At Random Data.

Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte

CoRR, 2021

Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering.

Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle

J. Classif., 2021

Clustering multilayer graphs with missing nodes.

Guillaume Braun, Hemant Tyagi, Christophe Biernacki

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

ordinalClust: An R Package to Analyze Ordinal Data.

Margot Selosse, Julien Jacques, Christophe Biernacki

R J., 2020

Textual data summarization using the Self-Organized Co-Clustering model.

Margot Selosse, Julien Jacques, Christophe Biernacki

Pattern Recognit., 2020

Model-based co-clustering for mixed type data.

Margot Selosse, Julien Jacques, Christophe Biernacki

Comput. Stat. Data Anal., 2020

Special issue on "Innovations on model based clustering and classification".

Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia

Adv. Data Anal. Classif., 2020

Target to Source Coordinate-Wise Adaptation of Pre-trained Models.

Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Real-Time monophonic and polyphonic audio classification from power spectra.

Maxime Baelde, Christophe Biernacki, Raphael Greff

Pattern Recognit., 2019

Unifying data units and models in (co-)clustering.

Christophe Biernacki, Alexandre Lourme

Adv. Data Anal. Classif., 2019

2018

Model-based co-clustering for ordinal data.

Julien Jacques, Christophe Biernacki

Comput. Stat. Data Anal., 2018

Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data.

Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas

CoRR, 2018

Probability Estimation by an Adapted Genetic Algorithm in Web Insurance.

Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017

A mixture model-based real-time audio sources classification method.

Maxime Baelde, Christophe Biernacki, Raphael Greff

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm.

Christophe Biernacki, Julien Jacques

Stat. Comput., 2016

Variable Clustering in High-Dimensional Linear Regression: The R Package clere.

Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickaël Canouil

R J., 2016

Latent class model with conditional dependency per modes to cluster categorical data.

Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle

Adv. Data Anal. Classif., 2016

2015

Model-Based Clustering for Conditionally Correlated Categorical Data.

Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle

J. Classif., 2015

2014

Stable and visualizable Gaussian parsimonious clustering models.

Christophe Biernacki, Alexandre Lourme

Stat. Comput., 2014

Rankcluster: An R Package for Clustering Multivariate Partial Rankings.

Julien Jacques, Quentin Grimonprez, Christophe Biernacki

R J., 2014

Mixture of Gaussians for distance estimation with missing data.

Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki

Neurocomputing, 2014

2013

Simultaneous Gaussian model-based clustering for samples of multiple origins.

Alexandre Lourme, Christophe Biernacki

Comput. Stat., 2013

A predictive deviance criterion for selecting a generative model in semi-supervised classification.

Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert

Comput. Stat. Data Anal., 2013

A generative model for rank data based on insertion sort algorithm.

Christophe Biernacki, Julien Jacques

Comput. Stat. Data Anal., 2013

2009

Pourquoi les modèles de mélange pour la classification ?

Christophe Biernacki

Monde des Util. Anal. Données, 2009

Updating a Logistic Discrimination Rule - Comparing Some Logistic Submodels in Credit-scoring.

Farid Beninel, Christophe Biernacki

Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

2007

Parameter Setting for Evolutionary Latent Class Clustering.

Damien Tessier, Marc Schoenauer, Christophe Biernacki, Gilles Celeux, Gérard Govaert

Proceedings of the Advances in Computation and Intelligence, 2007

2006

Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante.

Christophe Biernacki, Gilles Celeux, Anwuli Echenim, Gérard Govaert, Florent Langrognet

Monde des Util. Anal. Données, 2006

Model-based cluster and discriminant analysis with the MIXMOD software.

Christophe Biernacki, Gilles Celeux, Gérard Govaert, Florent Langrognet

Comput. Stat. Data Anal., 2006

2005

Analyse discriminante sur données binaires lorsque les populations d'apprentissage et de test sont différentes.

Julien Jacques, Christophe Biernacki

Proceedings of the Data Mining et Apprentissage Statistique : application en assurance, 2005

Relaxations de la régression logistique : modèles pour l'apprentissage sur une sous-population et la prédiction sur une autre.

Farid Beninel, Christophe Biernacki

Proceedings of the Data Mining et Apprentissage Statistique : application en assurance, 2005

2004

Initializing EM using the properties of its trajectories in Gaussian mixtures.

Christophe Biernacki

Stat. Comput., 2004

2003

Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models.

Christophe Biernacki, Gilles Celeux, Gérard Govaert

Comput. Stat. Data Anal., 2003

2001

Statistical modelling for image retrieval using a biological model of the perceptive colour space.

Anne Guérin-Dugué, Christophe Biernacki, Jeanny Hérault

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Introduction to the Special Section on Video Surveillance.

Robert T. Collins, Christophe Biernacki, Gilles Celeux, Alan J. Lipton, Gérard Govaert, Takeo Kanade

IEEE Trans. Pattern Anal. Mach. Intell., 2000

1999

An improvement of the NEC criterion for assessing the number of clusters in a mixture model.

Christophe Biernacki, Gilles Celeux, Gérard Govaert

Pattern Recognit. Lett., 1999