98 citations · 225 across the 7 of their papers we have counts for
7 papers
Model-based clustering with Hidden Markov Model regression for time series with regime changes
Faicel Chamroukhi, Allou Samé, Patrice Aknin +1
This paper introduces a novel model-based clustering approach for clustering time series which present changes in regime. It consists of a mixture of polynomial regressions governe…
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time
Raïssa Onanena, Faicel Chamroukhi, Latifa Oukhellou +3
This paper describes a pattern recognition approach aiming to estimate fuel cell duration time from electrochemical impedance spectroscopy measurements. It consists in first extrac…
A regression model with a hidden logistic process for feature extraction from time series
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A new approach for feature extraction from time series is proposed in this paper. This approach consists of a specific regression model incorporating a discrete hidden logistic pro…
A regression model with a hidden logistic process for signal parametrization
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A new approach for signal parametrization, which consists of a specific regression model incorporating a discrete hidden logistic process, is proposed. The model parameters are est…
Time series modeling by a regression approach based on a latent process
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
Time series are used in many domains including finance, engineering, economics and bioinformatics generally to represent the change of a measurement over time. Modeling techniques…
A hidden process regression model for functional data description. Application to curve discrimination
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A new approach for functional data description is proposed in this paper. It consists of a regression model with a discrete hidden logistic process which is adapted for modeling cu…