La classification croisée. - Gérard Govaert (Monde des Util. Anal. Données, 1989)

Commentaires sur l'article de G. CELEUX et de C. ROBERT. - Gérard Govaert (Monde des Util. Anal. Données, 1993)

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

Spatial Clustering Techniques: An Experimental Comparison. - Mô Dang; Gérard Govaert (COMPSTAT, 1998)

Fuzzy clustering of spatial binary data. - Mô Dang; Gérard Govaert (Kybernetika, 1998)

Convergence of an EM-type algorithm for spatial clustering. - Christophe Ambroise; Gérard Govaert (Pattern Recognit. Lett., 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)

Parameters Estimation of Block Mixture Models. - Mohamed Nadif; Gérard Govaert (COMPSTAT, 2002)

Classification croisée sur des données binaires de grande taille. - François-Xavier Jollois; Mohamed Nadif; Gérard Govaert (EGC, 2003)

A Mixture Model Approach for Binned Data Clustering. - Allou Samé; Christophe Ambroise; Gérard Govaert (IDA, 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)

Clustering with block mixture models. - Gérard Govaert; Mohamed Nadif (Pattern Recognit., 2003)

CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emission. - Hani Hamdan; Gérard Govaert (SMC (5), 2004)

Block clustering via the block GEM and two-way EM algorithms. - Mohamed Nadif; Gérard Govaert (AICCSA, 2005)

Mixture Model Clustering of Uncertain Data. - Hani Hamdan; Gérard Govaert (FUZZ-IEEE, 2005)

Block Clustering of Contingency Table and Mixture Model. - Mohamed Nadif; Gérard Govaert (IDA, 2005)

A Mixture Model-Based On-line CEM Algorithm. - Allou Samé; Gérard Govaert; Christophe Ambroise (IDA, 2005)

A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table. - Mohamed Nadif; Gérard Govaert (PKDD, 2005)

An EM Algorithm for the Block Mixture Model. - Gérard Govaert; Mohamed Nadif (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Classification d'un tableau de contingence et modèle probabiliste. - Gérard Govaert; Mohamed Nadif (EGC, 2006)

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

A classification EM algorithm for binned data. - Allou Samé; Christophe Ambroise; Gérard Govaert (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)

Preface. - Gérard Govaert; Reiner Hähnle; Mohamed Nadif (Soft Comput., 2006)

Fuzzy clustering to estimate the parameters of block mixture models. - Gérard Govaert; Mohamed Nadif (Soft Comput., 2006)

Apprentissage statistique de la topologie d'un ensemble de données étiquetées. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (EGC, 2007)

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

Clustering of contingency table and mixture model. - Gérard Govaert; Mohamed Nadif (Eur. J. Oper. Res., 2007)

An online classification EM algorithm based on the mixture model. - Allou Samé; Christophe Ambroise; Gérard Govaert (Stat. Comput., 2007)

Un modèle génératif pour l'Apprentissage de la Topologie. - Michaël Aupetit 001; Pierre Gaillard; Gérard Govaert (AAFD, 2008)

The Block Generative Topographic Mapping. - Rodolphe Priam; Mohamed Nadif; Gérard Govaert (ANNPR, 2008)

Algorithms for Model-based Block Gaussian Clustering. - Mohamed Nadif; Gérard Govaert (DMIN, 2008)

Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires. - Rodolphe Priam; Mohamed Nadif; Gérard Govaert (EGC, 2008)

Block clustering with Bernoulli mixture models: Comparison of different approaches. - Gérard Govaert; Mohamed Nadif (Comput. Stat. Data Anal., 2008)

Learning topology of a labeled data set with the supervised generative Gaussian graph. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (Neurocomputing, 2008)

A regression model with a hidden logistic process for signal parametrization. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (ESANN, 2009)

A regression model with a hidden logistic process for feature extraction from time series. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (IJCNN, 2009)

Le Graphe Génératif Gaussien. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (Monde des Util. Anal. Données, 2009)

Time series modeling by a regression approach based on a latent process. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (Neural Networks, 2009)

Model-Based Co-clustering for Continuous Data. - Mohamed Nadif; Gérard Govaert (ICMLA, 2010)

A hidden process regression model for functional data description. Application to curve discrimination. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (Neurocomputing, 2010)

Un graphe génératif pour la classification semi-supervisée. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (Ingénierie des Systèmes d Inf., 2010)

Model-based clustering with Hidden Markov Model regression for time series with regime changes. - Faicel Chamroukhi; Allou Samé; Patrice Aknin; Gérard Govaert (IJCNN, 2011)

Model-based clustering and segmentation of time series with changes in regime. - Allou Samé; Faicel Chamroukhi; Gérard Govaert; Patrice Aknin (Adv. Data Anal. Classif., 2011)

A generative model that learns Betti numbers from a data set. - Maxime Maillot; Michaël Aupetit 001; Gérard Govaert (ESANN, 2012)

An Approximation of the Integrated Classification Likelihood for the Latent Block Model. - Aurore Lomet; Gérard Govaert; Yves Grandvalet (ICDM Workshops, 2012)

An Efficient Approach to Sparse Linear Discriminant Analysis. - Luis Francisco Sánchez Merchante; Yves Grandvalet; Gérard Govaert (ICML, 2012)

Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. - Allou Samé; Gérard Govaert (ICMLA (1), 2012)

Nonlinear Mapping by Constrained Co-clustering. - Rodolphe Priam; Mohamed Nadif; Gérard Govaert (ICPRAM (1), 2012)

Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. - Andry Njato Randriamanamihaga; Etienne Côme; Latifa Oukhellou; Gérard Govaert (ESANN, 2013)

Extraction des nombres de Betti avec un modèle génératif. - Maxime Maillot; Michaël Aupetit 001; Gérard Govaert (EGC, 2013)

Model-Based Clustering of Temporal Data. - Hani El Assaad; Allou Samé; Gérard Govaert; Patrice Aknin (ICANN, 2013)

Gaussian Topographic Co-clustering Model. - Rodolphe Priam; Mohamed Nadif; Gérard Govaert (IDA, 2013)

Modèle à processus latent et algorithme EM pour la régression non linéaire. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (CoRR, 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)

Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. - Andry Njato Randriamanamihaga; Etienne Côme; Latifa Oukhellou; Gérard Govaert (Neurocomputing, 2014)

Topographic Bernoulli block mixture mapping for binary tables. - Rodolphe Priam; Mohamed Nadif; Gérard Govaert (Pattern Anal. Appl., 2014)

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

A variational Expectation-Maximization algorithm for temporal data clustering. - Hani El Assaad; Allou Samé; Gérard Govaert; Patrice Aknin (Comput. Stat. Data Anal., 2016)

Generalized topographic block model. - Rodolphe Priam; Mohamed Nadif; Gérard Govaert (Neurocomputing, 2016)

Segmental dynamic factor analysis for time series of curves. - Allou Samé; Gérard Govaert (Stat. Comput., 2017)

Mutual information, phi-squared and model-based co-clustering for contingency tables. - Gérard Govaert; Mohamed Nadif (Adv. Data Anal. Classif., 2018)

Model selection for Gaussian latent block clustering with the integrated classification likelihood. - Aurore Lomet; Gérard Govaert; Yves Grandvalet (Adv. Data Anal. Classif., 2018)