Gérard Govaert

Publication Activity (10 Years)

Years Active: 1989-2018
Publications (10 Years): 6

Top Topics

Regression Model

Top Venues

Adv. Data Anal. Classif.

Publications

Gérard Govaert, Mohamed Nadif
Mutual information, phi-squared and model-based co-clustering for contingency tables. Adv. Data Anal. Classif. 12 (3) (2018)
Aurore Lomet, Gérard Govaert, Yves Grandvalet
Model selection for Gaussian latent block clustering with the integrated classification likelihood. Adv. Data Anal. Classif. 12 (3) (2018)
Allou Samé, Gérard Govaert
Segmental dynamic factor analysis for time series of curves. Stat. Comput. 27 (6) (2017)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
Generalized topographic block model. Neurocomputing 173 (2016)
Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
A variational Expectation-Maximization algorithm for temporal data clustering. Comput. Stat. Data Anal. 103 (2016)
Christine Keribin, Vincent Brault, Gilles Celeux, Gérard Govaert
Estimation and selection for the latent block model on categorical data. Stat. Comput. 25 (6) (2015)
Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing 141 (2014)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
Topographic Bernoulli block mixture mapping for binary tables. Pattern Anal. Appl. 17 (4) (2014)
Maxime Maillot, Michaël Aupetit, Gérard Govaert
Extraction des nombres de Betti avec un modèle génératif. EGC (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR (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)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. CoRR (2013)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
Gaussian Topographic Co-clustering Model. IDA (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. CoRR (2013)
Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
Model-Based Clustering of Temporal Data. ICANN (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. CoRR (2013)
Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN (2013)
Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert
An Efficient Approach to Sparse Linear Discriminant Analysis. ICML (2012)
Aurore Lomet, Gérard Govaert, Yves Grandvalet
An Approximation of the Integrated Classification Likelihood for the Latent Block Model. ICDM Workshops (2012)
Allou Samé, Gérard Govaert
Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. ICMLA (1) (2012)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
Nonlinear Mapping by Constrained Co-clustering. ICPRAM (1) (2012)
Maxime Maillot, Michaël Aupetit, Gérard Govaert
A generative model that learns Betti numbers from a data set. ESANN (2012)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. 5 (4) (2011)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN (2011)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing 73 (7-9) (2010)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d Inf. 15 (2) (2010)
Mohamed Nadif, Gérard Govaert
Model-Based Co-clustering for Continuous Data. ICMLA (2010)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. Neural Networks 22 (5-6) (2009)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Le Graphe Génératif Gaussien. Monde des Util. Anal. Données 40 (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. ESANN (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. IJCNN (2009)
Mohamed Nadif, Gérard Govaert
Algorithms for Model-based Block Gaussian Clustering. DMIN (2008)
Michaël Aupetit, Pierre Gaillard, Gérard Govaert
Un modèle génératif pour l'Apprentissage de la Topologie. AAFD (2008)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
The Block Generative Topographic Mapping. ANNPR (2008)
Gérard Govaert, Mohamed Nadif
Block clustering with Bernoulli mixture models: Comparison of different approaches. Comput. Stat. Data Anal. 52 (6) (2008)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing 71 (7-9) (2008)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires. EGC (2008)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN (2007)
Gérard Govaert, Mohamed Nadif
Clustering of contingency table and mixture model. Eur. J. Oper. Res. 183 (3) (2007)
Allou Samé, Christophe Ambroise, Gérard Govaert
An online classification EM algorithm based on the mixture model. Stat. Comput. 17 (3) (2007)
Damien Tessier, Marc Schoenauer, Christophe Biernacki, Gilles Celeux, Gérard Govaert
Parameter Setting for Evolutionary Latent Class Clustering. ISICA (2007)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC (2007)
Gérard Govaert, Mohamed Nadif
Fuzzy clustering to estimate the parameters of block mixture models. Soft Comput. 10 (5) (2006)
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)
Gérard Govaert, Reiner Hähnle, Mohamed Nadif
Preface. Soft Comput. 10 (5) (2006)
Allou Samé, Christophe Ambroise, Gérard Govaert
A classification EM algorithm for binned data. Comput. Stat. Data Anal. 51 (2) (2006)
Gérard Govaert, Mohamed Nadif
Classification d'un tableau de contingence et modèle probabiliste. EGC (2006)
Hani Hamdan, Gérard Govaert
Mixture Model Clustering of Uncertain Data. FUZZ-IEEE (2005)
Mohamed Nadif, Gérard Govaert
Block Clustering of Contingency Table and Mixture Model. IDA (2005)
Gérard Govaert, Mohamed Nadif
An EM Algorithm for the Block Mixture Model. IEEE Trans. Pattern Anal. Mach. Intell. 27 (4) (2005)
Mohamed Nadif, Gérard Govaert
A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table. PKDD (2005)
Gérard Govaert, Mohamed Nadif
Classification d'un tableau de contingence et modèle probabiliste. EGC (2005)
Mohamed Nadif, Gérard Govaert
Block clustering via the block GEM and two-way EM algorithms. AICCSA (2005)
Allou Samé, Gérard Govaert, Christophe Ambroise
A Mixture Model-Based On-line CEM Algorithm. IDA (2005)
Hani Hamdan, Gérard Govaert
CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emission. SMC (5) (2004)
Gérard Govaert, Mohamed Nadif
Clustering with block mixture models. Pattern Recognit. 36 (2) (2003)
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)
Allou Samé, Christophe Ambroise, Gérard Govaert
A Mixture Model Approach for Binned Data Clustering. IDA (2003)
François-Xavier Jollois, Mohamed Nadif, Gérard Govaert
Classification croisée sur des données binaires de grande taille. EGC (2003)
Mohamed Nadif, Gérard Govaert
Parameters Estimation of Block Mixture Models. COMPSTAT (2002)
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)
Christophe Ambroise, Gérard Govaert
Convergence of an EM-type algorithm for spatial clustering. Pattern Recognit. Lett. 19 (10) (1998)
Mô Dang, Gérard Govaert
Fuzzy clustering of spatial binary data. Kybernetika 34 (4) (1998)
Mô Dang, Gérard Govaert
Spatial Clustering Techniques: An Experimental Comparison. COMPSTAT (1998)
Gilles Celeux, Gérard Govaert
Gaussian parsimonious clustering models. Pattern Recognit. 28 (5) (1995)
Gérard Govaert
Commentaires sur l'article de G. CELEUX et de C. ROBERT. Monde des Util. Anal. Données 11 (1993)
Gérard Govaert
La classification croisée. Monde des Util. Anal. Données 4 (1989)