Gérard Govaert
Publications
Publications
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Detection of machine mechanical faults using vibrations and deep autoencodersSurveillance, Vibrations, Shock and Noise, Institut Supérieur de l'Aéronautique et de l'Espace [ISAE-SUPAERO], Jul 2023, Toulouse, France |
Rotating machine speed estimation using a vibration statistical approach1st World Congress on Condition Monitoring (WCCM 2017), Jun 2017, Londres, United Kingdom. pp.89-93, ⟨10.1784/204764218823931299⟩ |
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Dynamic factor analysis and predictive diagnosis of critical railway components1st World Congress on Condition Monitoring (WCCM 2017), Jun 2017, Londres, United Kingdom. pp.436-448 |
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Modèles de mélange dynamiques pour le diagnostic de systèmes complexesAAFD et SFC'16 - Conférence Internationale Francophone sur la Science des Données, May 2016, Marrakech, Maroc. 6p |
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Modèle de mélange poissonien pour l'analyse de données de déplacements45e Journées de Statistique (JdS 2013), May 2013, Toulouse, France. pp.1-6 |
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Caractérisation topologique d'un jeu de données images avec les nombres de Betti et un modèle génératifCAP 2013 : Conf{é}rence Francophone sur l'Apprentissage Automatique, Jul 2013, Lille, France. pp.1-10 |
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Extraction des nombres de Betti avec un modèle génératifEGC2013, Jan 2013, Toulouse, France. pp.1-6 |
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A mixture of Kalman filters for online monitoring of railway switches12th International Conference on Railway Engineering, Jul 2013, london, United Kingdom. 9p |
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Gaussian topographic co-clustering modelThe Twelfth International Symposium on Intelligent Data Analysis (IDA 2013), 2013, Londres, United Kingdom. pp.345-356 |
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Mutual Information, Chi-Squared and Model-Based Clustering for Co-Clustering of Contingency TablesConference of the International Federation of Classification Societies (IFCS 2013), Jul 2013, Tilburg, Netherlands |
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Clustering the Velib' origin-destinations flows by means of Poisson mixture models22th European Symposium on Artificial Neural Networks (ESANN 2013), Apr 2013, Bruges, Belgium. pp.273-278 |
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Un modèle dynamique à variables latentes pour le partitionnement de données temporelles45e Journées de Statistique (JdS 2013), May 2013, Toulouse, France. pp.1-6 |
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An approximation of the integrated classification likelihood for the latent block modelIEEE International Conference on Data Mining series (ICDM 2012), Workshop on Data Mining, 2013, Bruxelles, Belgium. pp.147-153 |
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Critères ICL pour la sélection de modèle pour la classification croisée de données continues45e Journées de Statistique (JdS 2013), May 2013, Toulouse, France. pp.1-6 |
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Model-Based Clustering of Temporal Data23rd International Conference on Artificial Neural Networks (ICANN 2013), Sep 2013, Sofia, Bulgaria. pp.9-16 |
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A generative model that learns Betti numbers from a data setESANN2012, 15th European Symposium on Artificial Neural Networks, Apr 2012, Bruges, Belgium. pp.537-542 |
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Information and Chi-Square in Co-clusteringCompstat 2012, 20th International Conference on Computational Statistics, Aug 2012, Limassol, Cyprus |
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Un protocole de simulation de données pour la classification croisée44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgique. pp.1-6 |
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An Efficient Approach to Sparse Linear Discriminant AnalysisICML 2012, 2012, France, France. pp.1167-1174 |
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Model selection for the binary latent block model20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus. pp.379-390 |
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Integrated classification likelihood for model selection in block clusteringWorkshop statistical inference in complex/high-dimensional problems, Jul 2012, Vienne, Austria. pp.1-16 |
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The Generative Simplicial Complex to extract Betti numbers from unlabeled dataNeural Information Processing Systems (NIPS 2012), Workshop on Algebraic Topology and Machine Learning, Dec 2012, Tahoe, Nevada, United States. pp.1-5 |
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Model selection in block clustering by the integrated classification likelihood20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Lymassol, France. pp.519-530 |
Nonlinear mapping by constrained co-clusteringProceeding of the 1st International Conference on Pattern Recognition Applications and Methods, Feb 2012, Vilamoura, Portugal. pp.63-68 |
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Classification automatique de données temporelles en classes ordonnées44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgique. pp.1-6 |
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Software for co-clustering of binary data44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgium. pp.1-6 |
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Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection11th International Conference on Machine Learning and Applications (ICMLA 2012), Dec 2012, Boca Raton, Florida, United States. pp.602-605 |
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Assessing population exposure using multimedia exposure model and spatial analysis techniquesEnvironmental Health 2011, Feb 2011, Salvador, Brazil |
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Classification croisée et modèles des blocs latentsSFC 2011, XIVe Rencontre de la Société francophone de classification, Sep 2011, Orléans, France |
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Classification des données quantitatives de grande dimension dans l'environnement logiciel43ièmes Journées de Statistique, SFdS, May 2011, Gammarth, Tunisie. pp.1-5 |
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Classification automatique de données temporelles en classes ordonnées43èmes Journées de Statistique, SFdS, May 2011, Gammarth, Tunisie. pp.1-6 |
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Environmental health tracking in France: development of a GIS-based platform and multimedia exposure model to map and analyse environmental inequalitiesEnvironmental health conference, Feb 2011, Salvador, Brazil |
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Model-based clustering with Hidden Markov Model regression for time series with regime changes2011 International Joint Conference on Neural Networks, Jul 2011, San Jose, California, United States. pp.2814-2821 |
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Model-Based Co-clustering for Continuous DataICMLA 2010, The Ninth International Conference on Machine Learning and Applications, Dec 2010, Washington, United States. pp.1-6 |
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Estimation d'un modèle à blocs latents par l'algorithme SEM42èmes Journées de Statistique, 2010, Marseille, France, France |
Construction d'un modèle d'exposition multimédia spatialisé pour la cartographie des inégalités environnementalesCongrès National Santé Environnement 2010, Gènes, environnement et inégalités sociales, Dec 2010, Rennes, France |
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Estimation d'un modèle àblocs latent par l'algorithme SEM42e Journées de Statistique, SFdS, May 2010, Marseille, France |
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Comparing Variational and Stochastic EM for block clusteringModel-based clustering working group, Jul 2010, Grenoble, France |
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A variant of Gaussian mixture models to cluster censored individualsIMS 2010, 73rd Annual Meeting of the Institute of Mathematical Statistics, Aug 2010, Gothenburg, Sweden |
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Clustering of 561 French Dwellings into Indoor Air Pollution ProfilesCompstat 2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France |
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Modèle à processus latent et algorithme EM pour la régression non linéaire41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France |
Assessing heavy metal exposure from ingestion with multimedia exposure model operating in a GIS environment19th annual conference of the international society of exposure science, Nov 2009, Minneapolis, United States. pp.1 |
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Un modèle de mélange pour la classification croisée d'un tableau de données continueCAP'09, 11e conférence sur l'apprentissage artificiel, May 2009, Hammamet, Tunisie. pp.287-302 |
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A regression model with a hidden logistic process for signal parametrization17th European Symposium on Artificial Neural Networks, Advances in Computational Intelligence and Learning, Apr 2009, Bruges, Belgium. pp.1-6 |
Different variants of model-based co-clustering of continuous dataERCIM 09, 2nd Workshop of the ERCIM Working Group on Computing and Statistics, Oct 2009, Limassol, Cyprus |
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Construction d'un indicateur d'exposition spatialisé de l'environnementSTIC &Environnement 2009, Jun 2009, Calais, France. pp.1-4 |
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A regression model with a hidden logistic process for feature extraction from time serieIJCNN'09 International Joint Conference on Neural Networks, Jun 2009, Atlanta, United States. pp.1-8 |
Block clustering and mixture modelsWorking Group on Model-Based Clustering Summer Session, Jul 2009, Paris, France |
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Les modèles de mélange pour la classification de données massives en temps réel41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France |
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Classification of dwellings into profiles regarding indoor air quality, and identification of indoor air pollution determinant factorsISIAQ's Healthy Buildings 2009 Conference, Sep 2009, Syracuse, United States. pp.1-4 |
Using Geographic Information Systems to Build an Indicator of Human Exposure to Local Environmental Quality Concerning Chronic Healt RisksX2009 Sixth International Conference on Innovations in Exposure Assessment, Aug 2009, Boston, United States. pp.1 |
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MIXMOD A software for model-based classification for quantitative and qualitative dataFirst joint meeting of SFC and CLADAG , SFC, CLADAG, 2008, Caserta, Italy |
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Analyser les inégalités spatio-temporelles de cancer pour mieux comprendre le lien cancer environnement Le projet CIRCE (Cancer inégalités régionales cantonales et environnement)11. Congrès National des Observatoires Régionaux de la Santé "Les inégalités de santé. Nouveaux savoirs, nouveaux enjeux politiques", Oct 2008, Marseille, France. pp.NC |
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Approche spatiale des inégalités d'exposition environnementale et socioéconomiques Quelle influence sur les inégalités de cancer ? Projet Cancer inégalités régionales, cantonales et environnement (CIRCE)11. Congrès National des Observatoires Régionaux de la Santé "Les inégalités de santé. Nouveaux savoirs, nouveaux enjeux politiques", Oct 2008, Marseille, France. pp.S365-S366, ⟨10.1016/j.respe.2008.07.036⟩ |
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Parameter Setting for Evolutionary Latent Class ClusteringSecond International Symposium, ISICA 2007, Sep 2007, Wuhan, China. pp.472-484 |
Mixture model clustering of uncertain dataIEEE International Conference on Fuzzy Systems, May 2005, Reno, United States. pp.879-884 |
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Mixture model approach for acoustic emission control of pressure equipment5th International Conference on Acoustical and Vibratory Surveillance Methods and Diagnostic Techniques, Oct 2004, Senlis, France. pp.1-10 |
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Int-EM-CEM algorithm for imprecise data. Comparison with the CEM algorithm using Monte Carlo simulationsIEEE International Conference on Cybernetics and Intelligent Systems, Dec 2004, Singapore, Singapore. pp.410-415 |
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The fitting of binned data clustering to imprecise dataIEEE International Conference on Information & Communication Technologies: from Theory to Applications, Apr 2004, Damascus, Syria. pp.1-6 |
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CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emissionIEEE International Conference on Systems, Man and Cybernetics, Oct 2004, The Hague, Netherlands. pp.4774-4779 |
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Classification de données de type intervalle via l’algorithme EMXXXVe Journées de Statistique, Société Française de Statistique (SFdS), Jun 2003, Lyon, France. pp.549-552 |
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Modélisation et classification de données imprécisesCIMNA’03, premier congrès international sur les modélisations numériques appliquées, Nov 2003, Beyrouth, Lebanon. pp.16-19 |
Co-ClusteringISTE-Wiley, pp.256, 2014, Computing Engineering series |
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Data AnalysisISTE-Wiley, pp.327, 2009 |
Latent Class Models for Categorical DataHennig, C.; Meila, M. ; Murthag, F; Rocci, R. Handbook of Cluster Analysis, Chapman & Hall/CRC, pp.173-194, 2015, Chapman & Hall/CRC Handbooks of Modern Statistical Methods, 9780429185472 |
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Modèles de mélange et classificationSaporta, G. and Droesbeke, J.-J. and Thomas-Agnan, C. Modèles à variables latentes et modèles de mélange, Technip, pp.85-118, 2013 |
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Clustering and the Mixture ModelGérard Govaert. Data Analysis, ISTE-Wiley, pp.257-288, 2009, ⟨10.1002/9780470611777.ch8⟩ |
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Cluster AnalysisGérard Govaert. Data Analysis, ISTE-Wiley, pp.215-256, 2009, ⟨10.1002/9780470611777.ch7⟩ |
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The Block Generative Topographic MappingLecture Notes in Computer Science book series (LNCS, volume 5064), 2008 |
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MIXMOD : a software for model-based classification with continuous and categorical data2008 |