Faïcel Chamroukhi
Faïcel Chamroukhi
Professor of Statistics & Data Science at Université de Caen
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Physical human activity recognition using wearable sensors
F Attal, S Mohammed, M Dedabrishvili, F Chamroukhi, L Oukhellou, ...
Sensors 15 (12), 31314-31338, 2015
An unsupervised approach for automatic activity recognition based on hidden Markov model regression
D Trabelsi, S Mohammed, F Chamroukhi, L Oukhellou, Y Amirat
IEEE Transactions on automation science and engineering 10 (3), 829-835, 2013
Model-based clustering and segmentation of time series with changes in regime
A Samé, F Chamroukhi, G Govaert, P Aknin
Advances in Data Analysis and Classification 5 (4), 301, 2011
Joint segmentation of multivariate time series with hidden process regression for human activity recognition
F Chamroukhi, S Mohammed, D Trabelsi, L Oukhellou, Y Amirat
Neurocomputing 120, 633-644, 2013
A hidden process regression model for functional data description. Application to curve discrimination
F Chamroukhi, A Samé, G Govaert, P Aknin
Neurocomputing 73 (7-9), 1210-1221, 2010
Time series modeling by a regression approach based on a latent process
F Chamroukhi, A Samé, G Govaert, P Aknin
Neural Networks 22 (5-6), 593-602, 2009
Model‐based clustering and classification of functional data
F Chamroukhi, HD Nguyen
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (4 …, 2019
Approximation by finite mixtures of continuous density functions that vanish at infinity
TT Nguyen, HD Nguyen, F Chamroukhi, GJ McLachlan
Cogent Mathematics & Statistics 7 (1), 1750861, 2020
Robust mixture of experts modeling using the t distribution
F Chamroukhi
Neural Networks 79, 20-36, 2016
Practical and theoretical aspects of mixture‐of‐experts modeling: An overview
HD Nguyen, F Chamroukhi
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (4 …, 2018
Unsupervised learning of regression mixture models with unknown number of components
F Chamroukhi
Journal of Statistical Computation and Simulation 86 (12), 2308-2334, 2016
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model
HD Nguyen, F Chamroukhi, F Forbes
Neurocomputing 366, 208-214, 2019
Skew t mixture of experts
F Chamroukhi
Neurocomputing 266, 390-408, 2017
Model-based clustering with Hidden Markov Model regression for time series with regime changes
F Chamroukhi, A Samé, P Aknin, G Govaert
The 2011 International Joint Conference on Neural Networks, 2814-2821, 2011
Model-based functional mixture discriminant analysis with hidden process regression for curve classification
F Chamroukhi, H Glotin, A Samé
Neurocomputing 112, 153-163, 2013
Regularized maximum likelihood estimation and feature selection in mixtures-of-experts models
F Chamroukhi, BT Huynh
Journal de la société française de statistique 160 (1), 57-85, 2019
A regression model with a hidden logistic process for feature extraction from time series
F Chamroukhi, A Samé, G Govaert, P Aknin
2009 International Joint Conference on Neural Networks, 489-496, 2009
Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation
F Chamroukhi
Journal of Classification 33 (3), 374-411, 2016
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
HD Nguyen, TT Nguyen, F Chamroukhi, GJ McLachlan
Journal of Statistical Distributions and Applications 8 (1), 1-15, 2021
Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces
TT Nguyen, F Chamroukhi, HD Nguyen, GJ McLachlan
Communications in Statistics-Theory and Methods 52 (14), 5048-5059, 2023
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