Faicel Chamroukhi

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 23

Top Topics

Model Selection

Human Activity Recognition

Regression Model

Supervised Learning

Top Venues

Publications

TrungTin Nguyen, Dung Ngoc Nguyen, Hien Duy Nguyen, Faicel Chamroukhi
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. AI (2) (2023)
Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev
Spectral image clustering on dual-energy CT scans using functional regression mixtures. CoRR (2022)
Nhat Thien Pham, Faicel Chamroukhi
Functional mixture-of-experts for classification. CoRR (2022)
TrungTin Nguyen, Faicel Chamroukhi, Hien Duy Nguyen, Florence Forbes
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. CoRR (2021)
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Florence Forbes
A non-asymptotic penalization criterion for model selection in mixture of experts models. CoRR (2021)
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi, Geoffrey J. McLachlan
-oracle inequality for the Lasso in mixture-of-experts regression models. CoRR (2020)
Faicel Chamroukhi, Hien Duy Nguyen
Model-based clustering and classification of functional data. WIREs Data Mining Knowl. Discov. 9 (4) (2019)
Bao Tuyen Huynh, Faicel Chamroukhi
Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models. CoRR (2019)
Hien D. Nguyen, Faicel Chamroukhi, Florence Forbes
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing 366 (2019)
Faicel Chamroukhi, Bao Tuyen Huynh
Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering. IJCNN (2018)
Hien Duy Nguyen, Faicel Chamroukhi
Practical and theoretical aspects of mixture-of-experts modeling: An overview. WIREs Data Mining Knowl. Discov. 8 (4) (2018)
Faicel Chamroukhi, Hien D. Nguyen
Model-Based Clustering and Classification of Functional Data. CoRR (2018)
Faicel Chamroukhi, Bao Tuyen Huynh
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models. CoRR (2018)
Bao Tuyen Huynh, Faicel Chamroukhi
Regularised maximum-likelihood inference of mixture of experts for regression and clustering. ESANN (2018)
Faicel Chamroukhi
Skew t mixture of experts. Neurocomputing 266 (2017)
Faicel Chamroukhi
Robust mixture of experts modeling using the t distribution. CoRR (2017)
Hien D. Nguyen, Faicel Chamroukhi
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling. CoRR (2017)
Faicel Chamroukhi
Skew-normal Mixture of Experts. IJCNN (2016)
Faicel Chamroukhi
Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation. J. Classif. 33 (3) (2016)
Faicel Chamroukhi
Robust mixture of experts modeling using the skew $t$ distribution. CoRR (2016)
Faicel Chamroukhi
Robust mixture of experts modeling using the t distribution. Neural Networks 79 (2016)
Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani
GTM Mixture through time for sequential data. IJCNN (2016)
Faicel Chamroukhi
Bayesian mixture of spatial spline regressions. ESANN (2016)
Marius Bartcus, Faicel Chamroukhi, Hervé Glotin
Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis. IJCNN (2015)
Faicel Chamroukhi
Non-Normal Mixtures of Experts. CoRR (2015)
Faicel Chamroukhi
Bayesian mixtures of spatial spline regressions. CoRR (2015)
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
Physical Human Activity Recognition Using Wearable Sensors. Sensors 15 (12) (2015)
Faicel Chamroukhi, Marius Bartcus, Hervé Glotin
Dirichlet Process Parsimonious Mixtures for clustering. CoRR (2015)
Faicel Chamroukhi
Unsupervised learning of regression mixture models with unknown number of components. CoRR (2014)
Faicel Chamroukhi, Marius Bartcus, Hervé Glotin
Bayesian Non-parametric Parsimonious Gaussian Mixture for Clustering. ICPR (2014)
Faicel Chamroukhi, Marius Bartcus, Hervé Glotin
Bayesian non-parametric parsimonious clustering. ESANN (2014)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR (2013)
Faicel Chamroukhi
Piecewise regression mixture for simultaneous curve clustering and optimal segmentation. CoRR (2013)
Faicel Chamroukhi
Robust EM algorithm for model-based curve clustering. IJCNN (2013)
Faicel Chamroukhi, Hervé Glotin, Céline Rabouy
Functional Mixture Discriminant Analysis with hidden process regression for curve classification. CoRR (2013)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. CoRR (2013)
Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. Neurocomputing 120 (2013)
Faicel Chamroukhi, Hervé Glotin
Mixture model-based functional discriminant analysis for curve classification. CoRR (2013)
Faicel Chamroukhi, Hervé Glotin, Allou Samé
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. CoRR (2013)
Faicel Chamroukhi
Robust EM algorithm for model-based curve clustering. CoRR (2013)
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. 10 (3) (2013)
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR (2013)
Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. CoRR (2013)
Faicel Chamroukhi, Hervé Glotin, Allou Samé
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. Neurocomputing 112 (2013)
Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. CoRR (2013)
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. ESANN (2012)
Faicel Chamroukhi, Hervé Glotin
Mixture model-based functional discriminant analysis for curve classification. IJCNN (2012)
Faicel Chamroukhi, Hervé Glotin, Céline Rabouy
Functional Mixture Discriminant Analysis with hidden process regression for curve classification. ESANN (2012)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. 5 (4) (2011)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN (2011)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing 73 (7-9) (2010)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. Neural Networks 22 (5-6) (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. ESANN (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. IJCNN (2009)
Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. ICMLA (2009)