Estimation de la qualité d'une règle discriminante. - Gilles Celeux; Jean-Christophe Turlot (Monde des Util. Anal. Données, 1989)

Analyse Discriminante appliquée à l'étude du rythme cardiaque. - Gilles Celeux; Jean Clairambault (Monde des Util. Anal. Données, 1991)

Analyse Discriminante appliquée à l'étude du rythme cardiaque: développements methodologiques. - Gilles Celeux; Jean Clairambault (Monde des Util. Anal. Données, 1991)

Le modèle d'indépendance conditionnelle : le programme DISIND. - Sami Bochi; Gilles Celeux; Abdallah Mkhadri (Monde des Util. Anal. Données, 1993)

Notice du programme DISIND. - Sami Bochi; Gilles Celeux; Abdallah Mkhadri (Monde des Util. Anal. Données, 1993)

Une histoire de discrétisation. - Gilles Celeux; Claudine Robert (Monde des Util. Anal. Données, 1993)

Réponse des auteurs. - Claudine Robert; Gilles Celeux (Monde des Util. Anal. Données, 1993)

Gaussian parsimonious clustering models. - Gilles Celeux; Gérard Govaert (Pattern Recognit., 1995)

Inference in model-based cluster analysis. - Halima Bensmail; Gilles Celeux; Adrian E. Raftery; Christian P. Robert (Stat. Comput., 1997)

Bayesian Inference for Mixture: The Label Switching Problem. - Gilles Celeux (COMPSTAT, 1998)

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)

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)

Discriminant Analysis on Dissimilarity Data : a New Fast Gaussian like Algorithm. - Anne Guérin-Dugué; Gilles Celeux (AISTATS, 2001)

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)

EM procedures using mean field-like approximations for Markov model-based image segmentation. - Gilles Celeux; Florence Forbes; Nathalie Peyrard (Pattern Recognit., 2003)

Learning switching dynamic models for objects tracking. - Gilles Celeux; Jacinto C. Nascimento; Jorge S. Marques (Pattern Recognit., 2004)

Mixture Models for Classification. - Gilles Celeux (GfKl, 2006)

Model-based cluster and discriminant analysis with the MIXMOD software. - Christophe Biernacki; Gilles Celeux; Gérard Govaert; Florent Langrognet (Comput. Stat. Data Anal., 2006)

Iterated importance sampling in missing data problems. - Gilles Celeux; Jean-Michel Marin; Christian P. Robert (Comput. Stat. Data Anal., 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)

Selection of Generative Models in Classification. - Guillaume Bouchard; Gilles Celeux (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Designing a Bayesian network for preventive maintenance from expert opinions in a rapid and reliable way. - Gilles Celeux; Franck Corset; André Lannoy; Benoît Ricard (Reliab. Eng. Syst. Saf., 2006)

Parameter Setting for Evolutionary Latent Class Clustering. - Damien Tessier; Marc Schoenauer; Christophe Biernacki; Gilles Celeux; Gérard Govaert (ISICA, 2007)

Selecting hidden Markov model state number with cross-validated likelihood. - Gilles Celeux; Jean-Baptiste Durand (Comput. Stat., 2008)

Variable selection in model-based clustering: A general variable role modeling. - Cathy Maugis; Gilles Celeux; Marie-Laure Martin-Magniette (Comput. Stat. Data Anal., 2009)

Sélection de variables pour la classification par mélanges gaussiens pour prédire la fonction des gènes orphelins. - Cathy Maugis; Marie-Laure Martin-Magniette; Jean-Philippe Tamby; Jean-Pierre Renou; Alain Lecharny; Sébastien Aubourg; Gilles Celeux (Monde des Util. Anal. Données, 2009)

Nonlinear methods for inverse statistical problems. - Pierre Barbillon; Gilles Celeux; Agnès Grimaud; Yannick Lefebvre; Etienne de Rocquigny (Comput. Stat. Data Anal., 2011)

Variable selection in model-based discriminant analysis. - Cathy Maugis; Gilles Celeux; Marie-Laure Martin-Magniette (J. Multivar. Anal., 2011)

Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. - Charles Bouveyron; Gilles Celeux; Stéphane Girard (Pattern Recognit. Lett., 2011)

Approximate Bayesian computation methods. - Gilles Celeux (Stat. Comput., 2012)

Data-based filtering for replicated high-throughput transcriptome sequencing experiments. - Andrea Rau; Mélina Gallopin; Gilles Celeux; Florence Jaffrézic (Bioinform., 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)

Estimation of the battery state of charge: A Switching Markov state-space model. - Jana Kalawoun; Patrick Pamphile; Gilles Celeux; Krystyna Biletska; Maxime Montaru (EUSIPCO, 2015)

Enhancing the selection of a model-based clustering with external categorical variables. - Jean-Patrick Baudry; Margarida G. M. S. Cardoso; Gilles Celeux; Maria José Amorim; Ana Sousa Ferreira (Adv. Data Anal. Classif., 2015)

Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. - Andrea Rau; Cathy Maugis-Rabusseau; Marie-Laure Martin-Magniette; Gilles Celeux (Bioinform., 2015)

EM for mixtures - Initialization requires special care. - Jean-Patrick Baudry; Gilles Celeux (Stat. Comput., 2015)

Estimation and selection for the latent block model on categorical data. - Christine Keribin; Vincent Brault; Gilles Celeux; Gérard Govaert (Stat. Comput., 2015)

Variable selection in model-based clustering and discriminant analysis with a regularization approach. - Gilles Celeux; Cathy Maugis-Rabusseau; Mohammed Sedki (Adv. Data Anal. Classif., 2019)

Hierarchical Clustering of Spectral Images with Spatial Constraints for the Rapid Processing of Large and Heterogeneous Data Sets. - Gilles Celeux; Serge X. Cohen; Agnès Grimaud; Pierre Gueriau (SN Comput. Sci., 2022)

Model-based clustering with missing not at random data. - Aude Sportisse; Matthieu Marbac; Fabien Laporte; Gilles Celeux; Claire Boyer; Julie Josse; Christophe Biernacki (Stat. Comput., 2024)