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Physical Human Activity Recognition Using Wearable Sensors

Sensors (Basel, Switzerland), 2015-12, Vol.15 (12), p.31314-31338

2015

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Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation

Journal of classification, 2016-10, Vol.33 (3), p.374-411

Chamroukhi, Faicel

2016

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

IEEE transactions on automation science and engineering, 2013-07, Vol.10 (3), p.829-835

2013

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

Journal of statistical distributions and applications, 2021-08, Vol.8 (1), Article 13

2021

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DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation

Diagnostics (Basel), 2022-12, Vol.12 (12), p.3072

2022

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Unsupervised learning of regression mixture models with unknown number of components

Journal of statistical computation and simulation, 2016-08, Vol.86 (12), p.2308-2334

Chamroukhi, Faicel

2016

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Robust mixture of experts modeling using the t distribution

Neural networks, 2016-07, Vol.79, p.20-36

Chamroukhi, F.

2016

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Functional mixtures-of-experts

Statistics and computing, 2024-06, Vol.34 (3), Article 98

2024

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Piecewise regression mixture for simultaneous curve clustering and optimal segmentation

Journal of classification, 2016-03

Chamroukhi, Faicel

2016

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

Neurocomputing (Amsterdam), 2019-11, Vol.366, p.208-214

2019

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Model‐based clustering and classification of functional data

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2019-07, Vol.9 (4), p.e1298-n/a

2019

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

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2018-07, Vol.8 (4), p.e1246-n/a

2018

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

Neurocomputing (Amsterdam), 2013-11, Vol.120 (120), p.633-644

2013

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A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

Electronic journal of statistics, 2022-01, Vol.16 (2), p.4742-4822

2022

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

The Journal of the Acoustical Society of America, 2018-09, Vol.144 (3), p.1777-1778

2018

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Robust EM algorithm for model-based curve clustering

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-8

Chamroukhi, Faicel

2013

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Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces

Communications in statistics. Theory and methods, 2023-07, Vol.52 (14), p.5048-5059

2023

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

Neural networks, 2009-07, Vol.22 (5), p.593-602

2009

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

Advances in data analysis and classification, 2011-12, Vol.5 (4), p.301-321

2011

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

Neurocomputing (Amsterdam), 2010-03, Vol.73 (7), p.1210-1221

2010

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Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models

Statistics and Data Science, p.42-56

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Model-based functional mixture discriminant analysis with hidden process regression for curve classification

Neurocomputing (Amsterdam), 2013-07, Vol.112 (112), p.153-163

2013

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Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-7

2015

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A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection

AI 2023: Advances in Artificial Intelligence, p.234-245

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Skew-normal Mixture of Experts

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.3000-3007

Chamroukhi, Faicel

2016

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Physical Human Activity Recognition Using Wearable Sensors

Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation

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

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

DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation

Unsupervised learning of regression mixture models with unknown number of components

Robust mixture of experts modeling using the t distribution

Functional mixtures-of-experts

Piecewise regression mixture for simultaneous curve clustering and optimal segmentation

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

Model‐based clustering and classification of functional data

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

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

A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

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

Robust EM algorithm for model-based curve clustering

Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces

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

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

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

Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models

Model-based functional mixture discriminant analysis with hidden process regression for curve classification

Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis

A Non-asymptotic Risk Bound for Model Selection in a High-Dimensional Mixture of Experts via Joint Rank and Variable Selection

Skew-normal Mixture of Experts

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