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Faicel Chamroukhi
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2020 – today
- 2024
- [j15]Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin:
AITA: AI trustworthiness assessment. AI Ethics 4(1): 1-3 (2024) - [j14]Faïcel Chamroukhi
, Nhat Thien Pham
Functional mixtures-of-experts. Stat. Comput. 34(3): 98 (2024) - 2023
- [c18]TrungTin Nguyen
A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection. AI (2) 2023: 234-245 - [c17]Abdelmouaiz Tebjou, Goran Frehse, Faïcel Chamroukhi:
Data-driven Reachability using Christoffel Functions and Conformal Prediction. COPA 2023: 194-213 - [i34]Abdelmouaiz Tebjou, Goran Frehse, Faïcel Chamroukhi:
Data-driven Reachability using Christoffel Functions and Conformal Prediction. CoRR abs/2309.08976 (2023) - [i33]Faïcel Chamroukhi, Nhat Thien Pham:
Distributed Learning of Mixtures of Experts. CoRR abs/2312.09877 (2023) - 2022
- [i32]Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev:
Spectral image clustering on dual-energy CT scans using functional regression mixtures. CoRR abs/2201.13398 (2022) - [i31]Faïcel Chamroukhi, Nhat Thien Pham
Functional Mixtures-of-Experts. CoRR abs/2202.02249 (2022) - [i30]Nhat Thien Pham
Functional mixture-of-experts for classification. CoRR abs/2202.13934 (2022) - 2021
- [i29]TrungTin Nguyen
A non-asymptotic penalization criterion for model selection in mixture of experts models. CoRR abs/2104.02640 (2021) - [i28]TrungTin Nguyen
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models. CoRR abs/2104.08959 (2021) - 2020
- [i27]TrungTin Nguyen
An l1-oracle inequality for the Lasso in mixture-of-experts regression models. CoRR abs/2009.10622 (2020)
2010 – 2019
- 2019
- [j13]Hien D. Nguyen
Approximation results regarding the multiple-output Gaussian gated mixture of linear experts model. Neurocomputing 366: 208-214 (2019) - [j12]Faicel Chamroukhi
Model-based clustering and classification of functional data. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [i26]Bao Tuyen Huynh, Faicel Chamroukhi:
Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models. CoRR abs/1907.06994 (2019) - [i25]Faïcel Chamroukhi, Florian Lecocq, Hien D. Nguyen:
Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models. CoRR abs/1909.05494 (2019) - 2018
- [j11]Hien Duy Nguyen
Practical and theoretical aspects of mixture-of-experts modeling: An overview. WIREs Data Mining Knowl. Discov. 8(4) (2018) - [c16]Bao Tuyen Huynh, Faicel Chamroukhi:
Regularised maximum-likelihood inference of mixture of experts for regression and clustering. ESANN 2018 - [c15]Faicel Chamroukhi
Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering. IJCNN 2018: 1-8 - [p1]Vincent Roger, Marius Bartcus, Faicel Chamroukhi, Hervé Glotin:
Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model. Multimedia Tools and Applications for Environmental & Biodiversity Informatics 2018: 113-130 - [i24]Faicel Chamroukhi, Hien D. Nguyen:
Model-Based Clustering and Classification of Functional Data. CoRR abs/1803.00276 (2018) - [i23]Faicel Chamroukhi, Bao Tuyen Huynh:
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models. CoRR abs/1810.12161 (2018) - 2017
- [j10]Faicel Chamroukhi
Skew t mixture of experts. Neurocomputing 266: 390-408 (2017) - [i22]Faicel Chamroukhi:
Robust mixture of experts modeling using the t distribution. CoRR abs/1701.07429 (2017) - [i21]Hien D. Nguyen, Faicel Chamroukhi:
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling. CoRR abs/1707.03538 (2017) - 2016
- [j9]Faicel Chamroukhi
Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation. J. Classif. 33(3): 374-411 (2016) - [j8]Faicel Chamroukhi
Robust mixture of experts modeling using the t distribution. Neural Networks 79: 20-36 (2016) - [c14]Faicel Chamroukhi:
Bayesian mixture of spatial spline regressions. ESANN 2016 - [c13]Rakia Jaziri, Faicel Chamroukhi
GTM Mixture through time for sequential data. IJCNN 2016: 2805-2810 - [c12]Faicel Chamroukhi
Skew-normal Mixture of Experts. IJCNN 2016: 3000-3007 - [i20]Faicel Chamroukhi:
Robust mixture of experts modeling using the skew $t$ distribution. CoRR abs/1612.06879 (2016) - 2015
- [j7]Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi
Physical Human Activity Recognition Using Wearable Sensors. Sensors 15(12): 31314-31338 (2015) - [c11]Marius Bartcus, Faicel Chamroukhi
Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis. IJCNN 2015: 1-7 - [i19]Faicel Chamroukhi, Marius Bartcus, Hervé Glotin:
Dirichlet Process Parsimonious Mixtures for clustering. CoRR abs/1501.03347 (2015) - [i18]Faicel Chamroukhi:
Non-Normal Mixtures of Experts. CoRR abs/1506.06707 (2015) - [i17]Faicel Chamroukhi:
Bayesian mixtures of spatial spline regressions. CoRR abs/1508.00635 (2015) - 2014
- [c10]Faicel Chamroukhi, Marius Bartcus, Hervé Glotin:
Bayesian non-parametric parsimonious clustering. ESANN 2014 - [c9]Faicel Chamroukhi
Bayesian Non-parametric Parsimonious Gaussian Mixture for Clustering. ICPR 2014: 1460-1465 - [i16]Faicel Chamroukhi:
Unsupervised learning of regression mixture models with unknown number of components. CoRR abs/1409.6981 (2014) - 2013
- [j6]Faicel Chamroukhi
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. Neurocomputing 112: 153-163 (2013) - [j5]Faicel Chamroukhi
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. Neurocomputing 120: 633-644 (2013) - [j4]Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. 10(3): 829-835 (2013) - [c8]Faicel Chamroukhi
Robust EM algorithm for model-based curve clustering. IJCNN 2013: 1-8 - [i15]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 abs/1312.6956 (2013) - [i14]Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat:
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression. CoRR abs/1312.6965 (2013) - [i13]Faicel Chamroukhi, Hervé Glotin, Allou Samé:
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. CoRR abs/1312.6966 (2013) - [i12]Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin:
Model-based clustering and segmentation of time series with changes in regime. CoRR abs/1312.6967 (2013) - [i11]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A hidden process regression model for functional data description. Application to curve discrimination. CoRR abs/1312.6968 (2013) - [i10]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Time series modeling by a regression approach based on a latent process. CoRR abs/1312.6969 (2013) - [i9]Faicel Chamroukhi:
Piecewise regression mixture for simultaneous curve clustering and optimal segmentation. CoRR abs/1312.6974 (2013) - [i8]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR abs/1312.6978 (2013) - [i7]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization. CoRR abs/1312.6994 (2013) - [i6]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series. CoRR abs/1312.7001 (2013) - [i5]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 abs/1312.7003 (2013) - [i4]Faicel Chamroukhi, Hervé Glotin, Céline Rabouy:
Functional Mixture Discriminant Analysis with hidden process regression for curve classification. CoRR abs/1312.7007 (2013) - [i3]Faicel Chamroukhi, Hervé Glotin:
Mixture model-based functional discriminant analysis for curve classification. CoRR abs/1312.7018 (2013) - [i2]Faicel Chamroukhi:
Robust EM algorithm for model-based curve clustering. CoRR abs/1312.7022 (2013) - [i1]Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert:
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR abs/1312.7024 (2013) - 2012
- [c7]Faicel Chamroukhi, Hervé Glotin, Céline Rabouy:
Functional Mixture Discriminant Analysis with hidden process regression for curve classification. ESANN 2012 - [c6]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 - [c5]Faicel Chamroukhi
Mixture model-based functional discriminant analysis for curve classification. IJCNN 2012: 1-8 - 2011
- [j3]Allou Samé, Faicel Chamroukhi
Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. 5(4): 301-321 (2011) - [c4]Faicel Chamroukhi
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN 2011: 2814-2821 - 2010
- [j2]Faicel Chamroukhi
A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing 73(7-9): 1210-1221 (2010)
2000 – 2009
- 2009
- [j1]Faicel Chamroukhi
Time series modeling by a regression approach based on a latent process. Neural Networks 22(5-6): 593-602 (2009) - [c3]Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for signal parametrization. ESANN 2009 - [c2]Raissa Onanena, Faicel Chamroukhi
Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. ICMLA 2009: 632-637 - [c1]Faicel Chamroukhi
A regression model with a hidden logistic process for feature extraction from time series. IJCNN 2009: 489-496
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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