Christophe Biernacki

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 29

Top Topics

Categorical Data

Mixture Of Gaussians

Dimensional Data

Top Venues

Adv. Data Anal. Classif.

Publications

Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, Julie Josse, Christophe Biernacki
Model-based clustering with missing not at random data. Stat. Comput. 34 (4) (2024)
Christophe Biernacki, Julien Jacques, Christine Keribin
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. J. Classif. 40 (2) (2023)
Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas
Parameter-wise co-clustering for high-dimensional data. Comput. Stat. 38 (3) (2023)
Filippo Antonazzo, Christophe Biernacki, Christine Keribin
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Stat. Comput. 33 (3) (2023)
Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant
Comparative study of clustering models for multivariate time series from connected medical devices. CoRR (2023)
Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle
Simultaneous Semiparametric Estimation of Clustering and Regression. J. Comput. Graph. Stat. 31 (1) (2022)
Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
Interpretable domain adaptation using unsupervised feature selection on pre-trained source models. Neurocomputing 511 (2022)
Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. AAAI (2022)
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. ICML (2022)
Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte
Model-based Clustering with Missing Not At Random Data. CoRR (2021)
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
Clustering multilayer graphs with missing nodes. CoRR (2021)
Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle
Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering. J. Classif. 38 (1) (2021)
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. CoRR (2021)
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
Clustering multilayer graphs with missing nodes. AISTATS (2021)
Margot Selosse, Julien Jacques, Christophe Biernacki
ordinalClust: An R Package to Analyze Ordinal Data. R J. 12 (2) (2020)
Margot Selosse, Julien Jacques, Christophe Biernacki
Model-based co-clustering for mixed type data. Comput. Stat. Data Anal. 144 (2020)
Margot Selosse, Julien Jacques, Christophe Biernacki
Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognit. 103 (2020)
Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
Target to Source Coordinate-Wise Adaptation of Pre-trained Models. ECML/PKDD (1) (2020)
Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia
Special issue on "Innovations on model based clustering and classification". Adv. Data Anal. Classif. 14 (2) (2020)
Christophe Biernacki, Alexandre Lourme
Unifying data units and models in (co-)clustering. Adv. Data Anal. Classif. 13 (1) (2019)
Maxime Baelde, Christophe Biernacki, Raphael Greff
Real-Time monophonic and polyphonic audio classification from power spectra. Pattern Recognit. 92 (2019)
Julien Jacques, Christophe Biernacki
Model-based co-clustering for ordinal data. Comput. Stat. Data Anal. 123 (2018)
Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki
Probability Estimation by an Adapted Genetic Algorithm in Web Insurance. LION (2018)
Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas
Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data. CoRR (2018)
Maxime Baelde, Christophe Biernacki, Raphael Greff
A mixture model-based real-time audio sources classification method. ICASSP (2017)
Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle
Latent class model with conditional dependency per modes to cluster categorical data. Adv. Data Anal. Classif. 10 (2) (2016)
Christophe Biernacki, Julien Jacques
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm. Stat. Comput. 26 (5) (2016)
Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickaël Canouil
Variable Clustering in High-Dimensional Linear Regression: The R Package clere. R J. 8 (1) (2016)
Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle
Model-Based Clustering for Conditionally Correlated Categorical Data. J. Classif. 32 (2) (2015)
Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
Mixture of Gaussians for distance estimation with missing data. Neurocomputing 131 (2014)
Christophe Biernacki, Alexandre Lourme
Stable and visualizable Gaussian parsimonious clustering models. Stat. Comput. 24 (6) (2014)
Julien Jacques, Quentin Grimonprez, Christophe Biernacki
Rankcluster: An R Package for Clustering Multivariate Partial Rankings. R J. 6 (1) (2014)
Christophe Biernacki, Julien Jacques
A generative model for rank data based on insertion sort algorithm. Comput. Stat. Data Anal. 58 (2013)
Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert
A predictive deviance criterion for selecting a generative model in semi-supervised classification. Comput. Stat. Data Anal. 64 (2013)
Alexandre Lourme, Christophe Biernacki
Simultaneous Gaussian model-based clustering for samples of multiple origins. Comput. Stat. 28 (1) (2013)
Farid Beninel, Christophe Biernacki
Updating a Logistic Discrimination Rule - Comparing Some Logistic Submodels in Credit-scoring. ICAART (2009)
Christophe Biernacki
Pourquoi les modèles de mélange pour la classification ? Monde des Util. Anal. Données 40 (2009)
Damien Tessier, Marc Schoenauer, Christophe Biernacki, Gilles Celeux, Gérard Govaert
Parameter Setting for Evolutionary Latent Class Clustering. ISICA (2007)
Christophe Biernacki, Gilles Celeux, Gérard Govaert, Florent Langrognet
Model-based cluster and discriminant analysis with the MIXMOD software. Comput. Stat. Data Anal. 51 (2) (2006)
Christophe Biernacki, Gilles Celeux, Anwuli Echenim, Gérard Govaert, Florent Langrognet
Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante. Monde des Util. Anal. Données 35 (2006)
Julien Jacques, Christophe Biernacki
Analyse discriminante sur données binaires lorsque les populations d'apprentissage et de test sont différentes. DMAS (2005)
Farid Beninel, Christophe Biernacki
Relaxations de la régression logistique : modèles pour l'apprentissage sur une sous-population et la prédiction sur une autre. DMAS (2005)
Christophe Biernacki
Initializing EM using the properties of its trajectories in Gaussian mixtures. Stat. Comput. 14 (3) (2004)
Christophe Biernacki, Gilles Celeux, Gérard Govaert
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. Comput. Stat. Data Anal. 41 (3-4) (2003)
Anne Guérin-Dugué, Christophe Biernacki, Jeanny Hérault
Statistical modelling for image retrieval using a biological model of the perceptive colour space. ICIP (1) (2001)
Robert T. Collins, Christophe Biernacki, Gilles Celeux, Alan J. Lipton, Gérard Govaert, Takeo Kanade
Introduction to the Special Section on Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell. 22 (8) (2000)
Christophe Biernacki, Gilles Celeux, Gérard Govaert
An improvement of the NEC criterion for assessing the number of clusters in a mixture model. Pattern Recognit. Lett. 20 (3) (1999)