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68 résultats
GTM Mixture through time for sequential dataIn Proceedings of The International Joint Conference on Neural Networks (IJCNN) Vancouver, Canada, 2016, Vancouver, Unknown Region
Communication dans un congrès
hal-01490164v1
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Regularized Mixture of Experts for High-Dimensional Data50 èmes Journées de Statistique, Jun 2018, Paris, France
Communication dans un congrès
hal-02152452v1
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Mixtures-of-experts with functional predictorsThe 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021), Dec 2021, London, United Kingdom
Communication dans un congrès
hal-03584943v1
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Representations and Decisions in Cognitive VisionProceedings of the international summer school ERMITES, vol.7, 2012
Ouvrages
hal-01488686v1
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Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models2019
Pré-publication, Document de travail
hal-03584734v1
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Model‐based clustering and classification of functional dataWIREs Data Mining and Knowledge Discovery, 2019, 9 (4), ⟨10.1002/widm.1298⟩
Article dans une revue
hal-03584894v1
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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
Communication dans un congrès
hal-00447844v1
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Mixture models for cluster analysis: from model-based inference to bayesian non-parametricsuLearnBio workshop of the International Conference on Machine Learning (ICML), 2014, Unknown, Région indéterminée
Communication dans un congrès
hal-01488383v1
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Approximation results regarding the multiple-output Gaussian gated mixture of linear experts modelNeurocomputing, 2019, 366, pp.208-214. ⟨10.1016/j.neucom.2019.08.014⟩
Article dans une revue
hal-02265793v1
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Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensorsProc. the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2012, 2012, Bruges, Belgium. pp.417-422
Communication dans un congrès
hal-01679903v1
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Piecewise regression mixture for simultaneous curve clustering and optimal segmentationJournal of Classification, 2016
Article dans une revue
hal-01479308v1
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Spectral image clustering on dual-energy CT scans using functional regression mixtures2022
Pré-publication, Document de travail
hal-03584699v1
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Data-driven Reachability using Christoffel Functions and Conformal PredictionThe 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023), Sep 2023, Limassol, Cyprus
Communication dans un congrès
hal-04095745v1
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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
Communication dans un congrès
hal-00657496v1
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Unsupervised Learning from big bioacoustic data (uLearnBio)2014
Ouvrages
hal-01488676v1
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An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model RegressionIEEE Transactions on Automation Science and Engineering, 2013, 3 (10), pp.829-335. ⟨10.1109/TASE.2013.2256349⟩
Article dans une revue
hal-00865069v1
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PHRASE Rapport annuel Algorithme de détection multi-échelle supervisée[Rapport de recherche] LSIS. 2014
Rapport
hal-01488778v1
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Classification automatique de données temporelles en classes ordonnées43èmes Journées de Statistique, SFdS, May 2011, Gammarth, Tunisie. pp.1-6
Communication dans un congrès
hal-00657499v1
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Regularised maximum-likelihood inference of mixture of experts for regression and clustering26th European Symposium on Artificial Neural Networks (ESANN 2018), Apr 2018, Bruges, Belgium
Communication dans un congrès
hal-02152442v1
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Model-based clustering of Dual-Energy CT images for tumor detectionThe 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2021), Dec 2021, London, United Kingdom
Communication dans un congrès
hal-03584920v1
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ANR SMILES. Journée de l'ANR du 29 novembre 2018: Réunion de lancements de projets du CE 402018
Autre publication scientifique
hal-03584977v1
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Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov ModelMultimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018
Chapitre d'ouvrage
hal-01879385v1
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Functional Mixtures-of-ExpertsStatistics and Computing, 2024, 34 (3), pp.98. ⟨10.1007/s11222-023-10379-0⟩
Article dans une revue
hal-04360919v2
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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
Communication dans un congrès
hal-00447806v1
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Time series modeling by a regression approach based on a latent processNeural Networks, 2009, 22, pp.593-602. ⟨10.1016/j.neunet.2009.06.040⟩
Article dans une revue
hal-00447781v1
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Model-based clustering and segmentation of time series with changes in regimeAdvances in Data Analysis and Classification, 2011, 5 (4), pp 301-321. ⟨10.1007/s11634-011-0096-5⟩
Article dans une revue
hal-01221024v1
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Learning mixtures-of-experts from heterogenous and high-dimensional dataCMStatistics 2023 - 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2023, Berlin (DE), Germany
Communication dans un congrès
hal-04348869v1
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Unsupervised Statistical Learning from Heterogeneous Time-Series and Functional Data2019
Autre publication scientifique
hal-03585008v1
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Functional mixture-of-experts for classification53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022, Lyon, France
Communication dans un congrès
hal-03598266v1
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Approximation of probability density functions via location-scale finite mixtures in Lebesgue spacesCommunications in Statistics - Theory and Methods, 2022, pp. 1-12. ⟨10.1080/03610926.2021.2002360⟩
Article dans une revue
hal-02957876v1
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