Gérard Govaert

According to our database, Gérard Govaert authored at least 64 papers between 1989 and 2018.

Collaborative distances:

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

2018

Model selection for Gaussian latent block clustering with the integrated classification likelihood.

Aurore Lomet, Gérard Govaert, Yves Grandvalet

Adv. Data Anal. Classif., 2018

Mutual information, phi-squared and model-based co-clustering for contingency tables.

Gérard Govaert, Mohamed Nadif

Adv. Data Anal. Classif., 2018

2017

Segmental dynamic factor analysis for time series of curves.

Allou Samé, Gérard Govaert

Stat. Comput., 2017

2016

Generalized topographic block model.

Rodolphe Priam, Mohamed Nadif, Gérard Govaert

Neurocomputing, 2016

A variational Expectation-Maximization algorithm for temporal data clustering.

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin

Comput. Stat. Data Anal., 2016

2015

Estimation and selection for the latent block model on categorical data.

Christine Keribin, Vincent Brault, Gilles Celeux, Gérard Govaert

Stat. Comput., 2015

2014

Topographic Bernoulli block mixture mapping for binary tables.

Rodolphe Priam, Mohamed Nadif, Gérard Govaert

Pattern Anal. Appl., 2014

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

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

Modèle à processus latent et algorithme EM pour la régression non linéaire.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

CoRR, 2013

Gaussian Topographic Co-clustering Model.

Rodolphe Priam, Mohamed Nadif, Gérard Govaert

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Model-Based Clustering of Temporal Data.

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Extraction des nombres de Betti avec un modèle génératif.

Maxime Maillot, Michaël Aupetit, Gérard Govaert

Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Clustering the Vélib' origin-destinations flows by means of Poisson mixture models.

Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Nonlinear Mapping by Constrained Co-clustering.

Rodolphe Priam, Mohamed Nadif, Gérard Govaert

Proceedings of the ICPRAM 2012, 2012

Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection.

Allou Samé, Gérard Govaert

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

An Efficient Approach to Sparse Linear Discriminant Analysis.

Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert

Proceedings of the 29th International Conference on Machine Learning, 2012

An Approximation of the Integrated Classification Likelihood for the Latent Block Model.

Aurore Lomet, Gérard Govaert, Yves Grandvalet

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

A generative model that learns Betti numbers from a data set.

Maxime Maillot, Michaël Aupetit, Gérard Govaert

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

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

Model-based clustering with Hidden Markov Model regression for time series with regime changes.

Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Un graphe génératif pour la classification semi-supervisée.

Pierre Gaillard, Michaël Aupetit, Gérard Govaert

Ingénierie des Systèmes d Inf., 2010

A hidden process regression model for functional data description. Application to curve discrimination.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Neurocomputing, 2010

Model-Based Co-clustering for Continuous Data.

Mohamed Nadif, Gérard Govaert

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Time series modeling by a regression approach based on a latent process.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Neural Networks, 2009

Le Graphe Génératif Gaussien.

Pierre Gaillard, Michaël Aupetit, Gérard Govaert

Monde des Util. Anal. Données, 2009

A regression model with a hidden logistic process for feature extraction from time series.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the International Joint Conference on Neural Networks, 2009

A regression model with a hidden logistic process for signal parametrization.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Learning topology of a labeled data set with the supervised generative Gaussian graph.

Pierre Gaillard, Michaël Aupetit, Gérard Govaert

Neurocomputing, 2008

Block clustering with Bernoulli mixture models: Comparison of different approaches.

Gérard Govaert, Mohamed Nadif

Comput. Stat. Data Anal., 2008

Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires.

Rodolphe Priam, Mohamed Nadif, Gérard Govaert

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Algorithms for Model-based Block Gaussian Clustering.

Mohamed Nadif, Gérard Govaert

Proceedings of The 2008 International Conference on Data Mining, 2008

The Block Generative Topographic Mapping.

Rodolphe Priam, Mohamed Nadif, Gérard Govaert

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

Un modèle génératif pour l'Apprentissage de la Topologie.

Michaël Aupetit, Pierre Gaillard, Gérard Govaert

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2008

2007

An online classification EM algorithm based on the mixture model.

Allou Samé, Christophe Ambroise, Gérard Govaert

Stat. Comput., 2007

Clustering of contingency table and mixture model.

Gérard Govaert, Mohamed Nadif

Eur. J. Oper. Res., 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

Apprentissage statistique de la topologie d'un ensemble de données étiquetées.

Pierre Gaillard, Michaël Aupetit, Gérard Govaert

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006

Fuzzy clustering to estimate the parameters of block mixture models.

Gérard Govaert, Mohamed Nadif

Soft Comput., 2006

Preface.

Gérard Govaert, Reiner Hähnle, Mohamed Nadif

Soft Comput., 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

A classification EM algorithm for binned data.

Allou Samé, Christophe Ambroise, Gérard Govaert

Comput. Stat. Data Anal., 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

An EM Algorithm for the Block Mixture Model.

Gérard Govaert, Mohamed Nadif

IEEE Trans. Pattern Anal. Mach. Intell., 2005

A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table.

Mohamed Nadif, Gérard Govaert

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

A Mixture Model-Based On-line CEM Algorithm.

Allou Samé, Gérard Govaert, Christophe Ambroise

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Block Clustering of Contingency Table and Mixture Model.

Mohamed Nadif, Gérard Govaert

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Mixture Model Clustering of Uncertain Data.

Hani Hamdan, Gérard Govaert

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Classification d'un tableau de contingence et modèle probabiliste.

Gérard Govaert, Mohamed Nadif

Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Block clustering via the block GEM and two-way EM algorithms.

Mohamed Nadif, Gérard Govaert

Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2004

CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emission.

Hani Hamdan, Gérard Govaert

Proceedings of the IEEE International Conference on Systems, 2004

2003

Clustering with block mixture models.

Gérard Govaert, Mohamed Nadif

Pattern Recognit., 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

A Mixture Model Approach for Binned Data Clustering.

Allou Samé, Christophe Ambroise, Gérard Govaert

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Classification croisée sur des données binaires de grande taille.

François-Xavier Jollois, Mohamed Nadif, Gérard Govaert

Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

2002

Parameters Estimation of Block Mixture Models.

Mohamed Nadif, Gérard Govaert

Proceedings of the COMPSTAT 2002, 2002

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

1998

Convergence of an EM-type algorithm for spatial clustering.

Christophe Ambroise, Gérard Govaert

Pattern Recognit. Lett., 1998

Fuzzy clustering of spatial binary data.

Mô Dang, Gérard Govaert

Kybernetika, 1998

Spatial Clustering Techniques: An Experimental Comparison.

Mô Dang, Gérard Govaert

Proceedings of the COMPSTAT 1998, 1998

1995

Gaussian parsimonious clustering models.

Gilles Celeux, Gérard Govaert

Pattern Recognit., 1995

1993

Commentaires sur l'article de G. CELEUX et de C. ROBERT.

Gérard Govaert

Monde des Util. Anal. Données, 1993

1989

La classification croisée.

Gérard Govaert

Monde des Util. Anal. Données, 1989