Faicel Chamroukhi

发表

Mixture models for cluster analysis: from model-based inference to bayesian non-parametrics

Faicel Chamroukhi, 2014, ICML 2014.

BIOACOUSTIC SEGMENTATION BY HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL

Hervé Glotin, Vincent Roger, Faicel Chamroukhi, 2017 .

Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time pdf

Patrice Aknin, Daniel Hissel, Faicel Chamroukhi, 2013, ArXiv.

Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering

Faicel Chamroukhi, Bao Tuyen Huynh, Faicel Chamroukhi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model

Hervé Glotin, Vincent Roger, Faicel Chamroukhi, 2018, Multimedia Tools and Applications for Environmental & Biodiversity Informatics.

An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling pdf

Faicel Chamroukhi, Hien D. Nguyen, H. Nguyen, 2017, ArXiv.

Time series modeling by a regression approach based on a latent process

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, Neural Networks.

A hidden process regression model for functional data description. Application to curve discrimination pdf

Allou Samé, Gérard Govaert, Patrice Aknin, 2010, Neurocomputing.

GTM Mixture through time for sequential data

Mustapha Lebbah, Younès Bennani, Faicel Chamroukhi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2012, ESANN.

Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models pdf

Faicel Chamroukhi, Bao Tuyen Huynh, Faicel Chamroukhi, 2019, ArXiv.

Functional Mixture Discriminant Analysis with hidden process regression for curve classification pdf

Hervé Glotin, Allou Samé, Faicel Chamroukhi, 2012, ESANN.

Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model

Faicel Chamroukhi, Florence Forbes, Hien D. Nguyen, 2019, Neurocomputing.

Unsupervised learning of regression mixture models with unknown number of components

Faicel Chamroukhi, Faicel Chamroukhi, 2014, ArXiv.

Robust mixture of experts modeling using the t distribution

Faicel Chamroukhi, Faicel Chamroukhi, 2016, Neural Networks.

Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation

Faicel Chamroukhi, Faicel Chamroukhi, 2013, J. Classif..

Robust non-normal mixtures of experts

Faicel Chamroukhi, 2015 .

Activity recognition using hidden Markov models

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2011, IEEE/RJS International Conference on Intelligent RObots and Systems.

Segmentation and classification of human activities using body-mounted inertial sensors

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2011 .

A regression model with a hidden logistic process for feature extraction from time series

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, 2009 International Joint Conference on Neural Networks.

Skew-normal Mixture of Experts

Faicel Chamroukhi, Faicel Chamroukhi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Mixture model-based functional discriminant analysis for curve classification

Hervé Glotin, Faicel Chamroukhi, H. Glotin, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A dynamic probabilistic modeling of railway switches operating states

Faicel Chamroukhi, Marc Antoni, Patrice Aknin, 2011 .

Dirichlet Process Parsimonious Mixtures for clustering pdf

Hervé Glotin, Faicel Chamroukhi, Marius Bartcus, 2015, ArXiv.

A regression model with a hidden logistic process for signal parametrization pdf

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, ESANN.

Physical Human Activity Recognition Using Wearable Sensors

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2015, Sensors.

Robust EM algorithm for model-based curve clustering

Faicel Chamroukhi, Faicel Chamroukhi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Classification automatique de donn\'ees temporelles en classes ordonn\'ees

Faicel Chamroukhi, Patrice Aknin, Allou Sam'e, 2012 .

Non-Normal Mixtures of Experts pdf

Faicel Chamroukhi, Faicel Chamroukhi, 2015, ArXiv.

Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context

Patrice Aknin, Daniel Hissel, Faicel Chamroukhi, 2009, 2009 International Conference on Machine Learning and Applications.

Robust mixture of experts modeling using the skew $t$ distribution pdf

Faicel Chamroukhi, Faicel Chamroukhi, 2016, ArXiv.

Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models pdf

Faicel Chamroukhi, Bao Tuyen Huynh, Faicel Chamroukhi, 2018, ArXiv.

Bayesian non-parametric parsimonious clustering

Hervé Glotin, Faicel Chamroukhi, Marius Bartcus, 2014, ESANN.

Model‐based clustering and classification of functional data

Faicel Chamroukhi, Hien D. Nguyen, H. Nguyen, 2018, WIREs Data Mining Knowl. Discov..

Regularised maximum-likelihood inference of mixture of experts for regression and clustering

Faicel Chamroukhi, Bao Tuyen Huynh, 2018, ESANN.

Hidden process regression for curve modeling, classification and tracking

Faicel Chamroukhi, Faicel Chamroukhi, 2010 .

Towards the topology of autoencoder of calls versus clicks of marine mammal

Hervé Glotin, Vincent Roger, Faicel Chamroukhi, 2018 .

Unsupervised Learning from big bioacoustic data (uLearnBio)

Hervé Glotin, Faicel Chamroukhi, 2014 .

Model-Based Co-Clustering of Multivariate Functional Data

Faicel Chamroukhi, Christophe Biernacki, C. Biernacki, 2017 .

Bayesian mixture of spatial spline regressions pdf

Faicel Chamroukhi, Faicel Chamroukhi, 2015, ESANN.

Learning probabilistic latent process models from temporal data

Faicel Chamroukhi, 2012 .

PHRASE Rapport annuel Algorithme de détection multi-échelle supervisée

Hervé Glotin, Faicel Chamroukhi, Pierre Joalland, 2014 .

Regularized Mixture of Experts for High-Dimensional Data

Faicel Chamroukhi, Bao-Tuyen Huynh, 2018 .

Model-based clustering with Hidden Markov Model regression for time series with regime changes

Allou Samé, Gérard Govaert, Patrice Aknin, 2011, The 2011 International Joint Conference on Neural Networks.

Joint segmentation of multivariate time series with hidden process regression for human activity recognition

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2013, Neurocomputing.

Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis

Hervé Glotin, Faicel Chamroukhi, Marius Bartcus, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression

Faicel Chamroukhi, Yacine Amirat, Samer Mohammed, 2013, IEEE Transactions on Automation Science and Engineering.

Modèle à processus latent et algorithme EM pour la régression non linéaire pdf

Allou Samé, Gérard Govaert, Patrice Aknin, 2009, ArXiv.

Skew t mixture of experts

Faicel Chamroukhi, 2017, Neurocomputing.

An l1-oracle inequality for the Lasso in mixture-of-experts regression models pdf

Faicel Chamroukhi, Geoffrey J McLachlan, Hien D Nguyen, 2020, ArXiv.

Practical and theoretical aspects of mixture‐of‐experts modeling: An overview

Faicel Chamroukhi, Hien Duy Nguyen, H. Nguyen, 2018, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

Bayesian Non-parametric Parsimonious Gaussian Mixture for Clustering

Hervé Glotin, Faicel Chamroukhi, Marius Bartcus, 2014, 2014 22nd International Conference on Pattern Recognition.

Piecewise regression mixture for simultaneous curve clustering and optimal segmentation pdf

Faicel Chamroukhi, 2013, ArXiv.

Model-based clustering and segmentation of time series with changes in regime

Allou Samé, Gérard Govaert, Patrice Aknin, 2011, Adv. Data Anal. Classif..

Switch mechanism diagnosis using a pattern recognition approach

Patrice Aknin, Faicel Chamroukhi, Marc Antoni, 2008 .

A non-asymptotic penalization criterion for model selection in mixture of experts models pdf

Faicel Chamroukhi, Florence Forbes, Hien Duy Nguyen, 2021, ArXiv.

Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models

Faicel Chamroukhi, Hien Duy Nguyen, TrungTin Nguyen, 2021, Journal of Statistical Distributions and Applications.

A non-asymptotic model selection in block-diagonal mixture of polynomial experts models pdf

Faicel Chamroukhi, Florence Forbes, Hien Duy Nguyen, 2021, ArXiv.