A regression model with a hidden logistic process for signal parametrization. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (ESANN, 2009)

Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. - Raissa Onanena; Faicel Chamroukhi; Latifa Oukhellou; Denis Candusso; Patrice Aknin; Daniel Hissel (ICMLA, 2009)

A regression model with a hidden logistic process for feature extraction from time series. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (IJCNN, 2009)

Time series modeling by a regression approach based on a latent process. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (Neural Networks, 2009)

A hidden process regression model for functional data description. Application to curve discrimination. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (Neurocomputing, 2010)

Model-based clustering with Hidden Markov Model regression for time series with regime changes. - Faicel Chamroukhi; Allou Samé; Patrice Aknin; Gérard Govaert (IJCNN, 2011)

Model-based clustering and segmentation of time series with changes in regime. - Allou Samé; Faicel Chamroukhi; Gérard Govaert; Patrice Aknin (Adv. Data Anal. Classif., 2011)

Functional Mixture Discriminant Analysis with hidden process regression for curve classification. - Faicel Chamroukhi; Hervé Glotin; Céline Rabouy (ESANN, 2012)

Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. - Dorra Trabelsi; Samer Mohammed; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat (ESANN, 2012)

Mixture model-based functional discriminant analysis for curve classification. - Faicel Chamroukhi; Hervé Glotin (IJCNN, 2012)

Robust EM algorithm for model-based curve clustering. - Faicel Chamroukhi (IJCNN, 2013)

Piecewise regression mixture for simultaneous curve clustering and optimal segmentation. - Faicel Chamroukhi (CoRR, 2013)

Modèle à processus latent et algorithme EM pour la régression non linéaire. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (CoRR, 2013)

Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. - Raissa Onanena; Faicel Chamroukhi; Latifa Oukhellou; Denis Candusso; Patrice Aknin; Daniel Hissel (CoRR, 2013)

Model-based functional mixture discriminant analysis with hidden process regression for curve classification. - Faicel Chamroukhi; Hervé Glotin; Allou Samé (Neurocomputing, 2013)

Joint segmentation of multivariate time series with hidden process regression for human activity recognition. - Faicel Chamroukhi; Samer Mohammed; Dorra Trabelsi; Latifa Oukhellou; Yacine Amirat (Neurocomputing, 2013)

An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. - Dorra Trabelsi; Samer Mohammed; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat (IEEE Trans Autom. Sci. Eng., 2013)

Bayesian non-parametric parsimonious clustering. - Faicel Chamroukhi; Marius Bartcus; Hervé Glotin (ESANN, 2014)

Bayesian Non-parametric Parsimonious Gaussian Mixture for Clustering. - Faicel Chamroukhi; Marius Bartcus; Hervé Glotin (ICPR, 2014)

Unsupervised learning of regression mixture models with unknown number of components. - Faicel Chamroukhi (CoRR, 2014)

Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis. - Marius Bartcus; Faicel Chamroukhi; Hervé Glotin (IJCNN, 2015)

Non-Normal Mixtures of Experts. - Faicel Chamroukhi (CoRR, 2015)

Bayesian mixtures of spatial spline regressions. - Faicel Chamroukhi (CoRR, 2015)

Dirichlet Process Parsimonious Mixtures for clustering. - Faicel Chamroukhi; Marius Bartcus; Hervé Glotin (CoRR, 2015)

Physical Human Activity Recognition Using Wearable Sensors. - Ferhat Attal; Samer Mohammed; Mariam Dedabrishvili; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat (Sensors, 2015)

Bayesian mixture of spatial spline regressions. - Faicel Chamroukhi (ESANN, 2016)

Skew-normal Mixture of Experts. - Faicel Chamroukhi (IJCNN, 2016)

GTM Mixture through time for sequential data. - Rakia Jaziri; Faicel Chamroukhi; Mustapha Lebbah; Younès Bennani (IJCNN, 2016)

Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation. - Faicel Chamroukhi (J. Classif., 2016)

Robust mixture of experts modeling using the skew $t$ distribution. - Faicel Chamroukhi (CoRR, 2016)

Robust mixture of experts modeling using the t distribution. - Faicel Chamroukhi (Neural Networks, 2016)

An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling. - Hien D. Nguyen 001; Faicel Chamroukhi (CoRR, 2017)

Skew t mixture of experts. - Faicel Chamroukhi (Neurocomputing, 2017)

Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model. - Vincent Roger; Marius Bartcus; Faicel Chamroukhi; Hervé Glotin (Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018)

Regularised maximum-likelihood inference of mixture of experts for regression and clustering. - Bao Tuyen Huynh; Faicel Chamroukhi (ESANN, 2018)

Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering. - Faicel Chamroukhi; Bao Tuyen Huynh (IJCNN, 2018)

Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models. - Faicel Chamroukhi; Bao Tuyen Huynh (CoRR, 2018)

Practical and theoretical aspects of mixture-of-experts modeling: An overview. - Hien Duy Nguyen; Faicel Chamroukhi (WIREs Data Mining Knowl. Discov., 2018)

Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models. - Bao Tuyen Huynh; Faicel Chamroukhi (CoRR, 2019)

Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models. - Faïcel Chamroukhi; Florian Lecocq; Hien D. Nguyen 001 (CoRR, 2019)

Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. - Hien D. Nguyen 001; Faicel Chamroukhi; Florence Forbes (Neurocomputing, 2019)

Model-based clustering and classification of functional data. - Faicel Chamroukhi; Hien Duy Nguyen (WIREs Data Mining Knowl. Discov., 2019)

An l1-oracle inequality for the Lasso in mixture-of-experts regression models. - TrungTin Nguyen; Hien Duy Nguyen; Faicel Chamroukhi; Geoffrey J. McLachlan (CoRR, 2020)

A non-asymptotic penalization criterion for model selection in mixture of experts models. - TrungTin Nguyen; Hien Duy Nguyen; Faicel Chamroukhi; Florence Forbes (CoRR, 2021)

A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. - TrungTin Nguyen; Faicel Chamroukhi; Hien Duy Nguyen; Florence Forbes (CoRR, 2021)

Spectral image clustering on dual-energy CT scans using functional regression mixtures. - Segolene Brivet; Faicel Chamroukhi; Mark Coates; Reza Forghani; Peter Savadjiev (CoRR, 2022)

Functional mixture-of-experts for classification. - Nhat Thien Pham; Faicel Chamroukhi (CoRR, 2022)

A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. - TrungTin Nguyen; Dung Ngoc Nguyen; Hien Duy Nguyen; Faicel Chamroukhi (AI (2), 2023)

Data-driven Reachability using Christoffel Functions and Conformal Prediction. - Abdelmouaiz Tebjou; Goran Frehse; Faïcel Chamroukhi (COPA, 2023)

Distributed Learning of Mixtures of Experts. - Faïcel Chamroukhi; Nhat Thien Pham (CoRR, 2023)

AITA: AI trustworthiness assessment. - Bertrand Braunschweig; Stefan Buijsman; Faïcel Chamroukhi; Fredrik Heintz; Foutse Khomh; Juliette Mattioli; Maximilian Poretschkin (AI Ethics, 2024)

Functional mixtures-of-experts. - Faïcel Chamroukhi; Nhat Thien Pham; Van Hà Hoang; Geoffrey J. McLachlan (Stat. Comput., 2024)

Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting. - Thien Pham; Angelo Furno; Faïcel Chamroukhi; Latifa Oukhellou (CoRR, 2025)