Nombre de documents

22

Vincent Vandewalle


Article dans une revue8 documents

  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of Gaussian copulas for mixed data. Communications in Statistics - Theory and Methods, Taylor & Francis, 2017, 46 (23), pp.11635-11656. 〈hal-00987760v4〉
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Latent class model with conditional dependency per modes to cluster categorical data. Advances in Data Analysis and Classification, Springer Verlag, 2016, 10 (2), pp.183-207. 〈http://link.springer.com/article/10.1007/s11634-016-0250-1〉. 〈10.1007/s11634-016-0250-1〉. 〈hal-00950112v2〉
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering for conditionally correlated categorical data. Journal of Classification, Springer Verlag, 2015, 2 (32), pp.145-175. 〈10.1007/s00357〉. 〈hal-00787757v3〉
  • E. Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki. Mixture of Gaussians for Distance Estimation with Missing Data. Neurocomputing, Elsevier, 2014, 131, pp.32-42. 〈hal-00921023v2〉
  • Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert. A predictive deviance criterion for selecting a generative model in semi-supervised classification. Computational Statistics and Data Analysis, Elsevier, 2013, 64, pp.220-236. 〈inria-00516991〉
  • Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert. A predictive deviance criterion for selecting a generative model in semi-supervised classification. Computational Statistics and Data Analysis, Elsevier, 2012. 〈hal-00778130〉
  • Gérard Grégoire, François-Xavier Jollois, Jean-François Petiot, Abdellah Qannari, Serge Sabourin, et al.. Les logiciels et l'enseignement de la statistique dans les départements " Statistique et Informatique Décisionnelle " (STID) des IUT. Statistique et Enseignement, 2012, 2 (2), pp.5-24. 〈hal-00913110〉
  • Stephane Robin, Sophie Schbath, Vincent Vandewalle. Statistical tests to compare motif count exceptionalities. BMC Bioinformatics, BioMed Central, 2007, 8, pp.84. 〈10.1186/1471-2105-8-84〉. 〈hal-01197501〉

Communication dans un congrès9 documents

  • Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering. IFCS 2017 - Conference of the International Federation of Classification Societies, Aug 2017, Tokyo, Japan. pp.1-29, 〈http://ifcs.boku.ac.at/_conference/index.php/ifcs2017/ifcs2017〉. 〈hal-01662271〉
  • Vincent Vandewalle, Christophe Biernacki. Survival analysis with complex covariates: a model-based clustering preprocessing step. IEEE PHM 2017, Jun 2017, Dallas, United States. 〈hal-01667588〉
  • Serge Iovleff, Mathieu Fauvel, Stephane Girard, Cristian Preda, Vincent Vandewalle. Mixture Models with Missing data Classication of Satellite Image Time Series: QUALIMADOS: Atelier Qualité des masses de données scientiques. Journées Science des Données MaDICS 2017, Jun 2017, Marseille, France. pp.1-60. 〈hal-01649206〉
  • Vincent Vandewalle, Christophe Biernacki. Dealing with missing data through mixture models. ICB Seminars 2017 - 154th Seminar on ”Statistics and clinical practice”, May 2017, Varsovie, Poland. pp.1-3. 〈hal-01667614〉
  • Christophe Biernacki, Gwenaelle Castellan, Stephane Chretien, Benjamin Guedj, Vincent Vandewalle. Pitfalls in Mixtures from the Clustering Angle. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. 2016. 〈hal-01419755〉
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of categorical data by relaxing conditional independence. Classification Society Meeting, Jun 2015, Hamilton, Ontario, Canada. 2015. 〈hal-01238334〉
  • Vincent Vandewalle, C Biernacki. An efficient SEM algorithm for Gaussian Mixtures with missing data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. 2015. 〈hal-01242588〉
  • Vincent Vandewalle, Cristina Cozma, Cristian Preda. Clustering categorical functional data Application to medical discharge letters. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, France. 2015. 〈hal-01251284〉
  • Vincent Vandewalle. Sélection prédictive d'un modèle génératif par le critère AICp. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. 〈inria-00386678〉

Poster1 document

  • Vincent Vandewalle, Cristian Preda. Clustering categorical functional data Application to medical discharge letters Medical discharge letters. Working Group on Model-Based Clustering Summer Session: Paris, July 17-23, 2016, Jul 2016, Paris, France. 0010. 〈hal-01424950〉

Document associé à des manifestations scientifiques2 documents

  • Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering using probabilistic factorial discriminant analysis. CMStatistics 2016, Dec 2016, Sevilla, Spain. 〈hal-01424965〉
  • Chloé Friguet, Frédérique Letué, Vincent Vandewalle. Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)”. 47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France. 〈hal-01250812〉

Pré-publication, Document de travail1 document

  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Classification de données mixtes par un modèle de mélange de copules gaussiennes.. 46e Journées de Statistique (Rennes, du 2 au 6 juin 2014 ). 2014. 〈hal-00940613〉

Thèse1 document

  • Vincent Vandewalle. Estimation et sélection en classification semi-supervisée. Mathématiques [math]. Université des Sciences et Technologie de Lille - Lille I, 2009. Français. 〈tel-00447141〉