292 citations
- T. Denoeux13 · h 54
- G. Govaert2 profiles10 · h 32
- Yves Grandvalet2 profiles9 · h 31
- Faicel Chamroukhi2 profiles8 · h 18
- F. Davoine8 · h 26
- P. Aknin2 profiles8 · h 18
- Sébastien Destercke3 profiles7 · h 25
- V. Berge-Cherfaoui7 · h 22
- A. Samé6 · h 18
- Marie-Hélène Abel2 profiles6 · h 14
- N. Lê6 · h 5
- B. Ducourthial2 profiles5 · h 17
- Université de Technologie de CompiègneFR73 papers
- Centre National de la Recherche ScientifiqueFR54 papers
- Institut Universitaire de FranceFR14 papers
- Sorbonne UniversitéFR11 papers
- Shanghai UniversityCN5 papers
- Durham UniversityGB4 papers
- Monash UniversityAU4 papers
- Institut Polytechnique de BordeauxFR3 papers
- Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesFR3 papers
- Université Paris Dauphine-PSLFR3 papers
- Centre de Recherche en InformatiqueFR2 papers
- Eiffage (France)FR2 papers
12 papers · 1 filter
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…
Classification automatique de données temporelles en classes ordonnées
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
This paper proposes a method of segmenting temporal data into ordered classes. It is based on mixture models and a discrete latent process, which enables to successively activates…
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…
Modèle à processus latent et algorithme EM pour la régression non linéaire
Faicel Chamroukhi, Allou Samé, Gérard Govaert +1
A non linear regression approach which consists of a specific regression model incorporating a latent process, allowing various polynomial regression models to be activated prefere…
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…