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Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France
Conference papers
hal-01196450v1
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The dynamic stochastic topic block model for dynamic networks with textual edgesStatistics and Computing, In press, ⟨10.1007/s11222-018-9832-4⟩
Journal articles
hal-01621757v1
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Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilaritésRevue de Statistique Appliquée, 2006, LIV (3), pp.33-64
Journal articles
inria-00174272v1
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Accélération des cartes auto-organisatrices sur tableau de dissimilarités par séparation et évaluationRevue des Nouvelles Technologies de l'Information, 2008
Journal articles
inria-00232866v1
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Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networksEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.225-230
Conference papers
hal-01163367v1
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Reducing offline evaluation bias of collaborative filtering algorithmsEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium. pp.137-142
Conference papers
hal-01163390v1
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How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need?10th International Workshop on Self Organizing Maps, WSSOM 2014, Jul 2014, Mittweida, Germany. pp.3-23, ⟨10.1007/978-3-319-07695-9_1⟩
Conference papers
hal-01017468v1
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Spatial correlation in bipartite networksRevue des Nouvelles Technologies de l'Information, 2013, pp.97-110
Journal articles
hal-00761081v1
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Regularization in Relevance Learning Vector Quantization Using l one Norms21-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Apr 2013, Bruges, Belgium. pp.17-22
Conference papers
hal-00874854v1
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Clustering hiérarchique non paramétrique de données fonctionnellesExtraction et gestion des connaissances, Jan 2012, Bordeaux, France. pp.101--112
Conference papers
hal-00672958v1
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A Study of the Spatio-Temporal Correlations in Mobile Calls NetworksFabrice Guillet; Bruno Pinaud; Gilles Venturini; Djamel Abdelkader Zighed. Advances in Knowledge Discovery and Management, 615, Springer International Publishing, pp.3-17, 2015, Studies in Computational Intelligence, 978-3-319-23750-3. ⟨10.1007/978-3-319-23751-0_1⟩
Book sections
hal-01222355v1
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Study of a bias in the offline evaluation of a recommendation algorithm11th Industrial Conference on Data Mining, ICDM 2015, Jul 2015, Hamburg, Germany. pp.57-70
Conference papers
hal-01222395v1
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Using the Mean Absolute Percentage Error for Regression ModelsEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2015, Bruges, Belgium
Conference papers
hal-01162980v1
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Mixture of von Mises-Fisher distribution with sparse prototypesNeurocomputing, 2022, 501, pp.41-74. ⟨10.1016/j.neucom.2022.05.118⟩
Journal articles
hal-03909654v1
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Dissemination of Health Information within Social NetworksVedres, Balázs and Scotti, Marco. Networks in Social Policy Problems, Cambridge University Press, pp.15-46, 2012, 9781107009837
Book sections
hal-00753217v1
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SVM fonctionnels par interpolation splineJournée de Statistique de la SFdS, Société Française de Statistique, May 2006, Clamart (FR), France
Conference papers
hal-04176653v1
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Support Vector Machine For Functional Data ClassificationXIIIth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2005), Apr 2005, Bruges, Belgium. pp.467-472
Conference papers
hal-04176766v1
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Accelerating stochastic kernel SOMXXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. 6 p
Conference papers
hal-02734663v1
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Multi-Layer Perceptrons and Symbolic DataDiday, Edwin and Noirhomme-Fraiture, Monique. Symbolic Data Analysis and the SODAS Software, Wiley, pp.373-391, 2008
Book sections
inria-00232878v1
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Modelling time evolving interactions in networks through a non stationary extension of stochastic block modelsInternational Conference on Advances in Social Networks Analysis and Mining ASONAM 2015, IEEE/ACM, Aug 2015, Paris, France. pp.1590-1591, ⟨10.1145/2808797.2809348⟩
Conference papers
hal-01263540v1
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Multiple change points detection and clustering in dynamic networksStatistics and Computing, 2017, ⟨10.1007/s11222-017-9775-1⟩
Journal articles
hal-01430717v1
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Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid ModelsEuropean Conference, ECML PKDD 2015, Sep 2015, Porto, Portugal. pp.37 - 52, ⟨10.1007/978-3-319-23461-8_3⟩
Conference papers
hal-01468083v1
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Application du coclustering à l'analyse exploratoire d'une table de donnéesConférence Internationale Francophone sur l'Extraction et gestion des connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.177-188
Conference papers
hal-01469509v1
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Predicting local malaria exposure using a Lasso-based two-level cross validation algorithmPLoS ONE, 2017, 12 (10), ⟨10.1371/journal.pone.0187234⟩
Journal articles
hal-01736935v1
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Modelling time evolving interactions in networks through a non stationary extension of stochastic block models47èmes Journées de Statistique de la SFdS, Société Française de Statistique, Jun 2015, Lille, France
Conference papers
hal-01195688v1
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Variables selection by the LASSO method. Application to malaria data of Tori-Bossito (Benin)2016
Preprints, Working Papers, ...
hal-01352438v1
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On the expressivity of bi-Lipschitz normalizing flowsACML 2022 - 14th Asian Conference on Machine Learning,, Dec 2022, Hyderabad, India
Conference papers
hal-03906979v1
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Exploration of a large database of French notarial acts with social network methodsDigital Medievalist, 2013, 9
Journal articles
hal-02648351v1
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Modelling time evolving interactions in networks through a non stationary extension of stochastic block modelsFith International Workshop on Social Network Analysis (ARS'15), Apr 2015, Anacapri, Italy. pp.21
Conference papers
hal-01222325v1
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A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graphWSOM'07 - Workshop on Self-Organizing Maps, Sep 2007, Bielefeld, Germany. pp.WeP-1
Conference papers
hal-00674189v1
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