Allou Samé

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 26

Top Topics

Water Consumption

Top Venues

Publications

Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR (2024)
Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
Multivariate count time series segmentation with "sums and shares" and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub. Adv. Data Anal. Classif. 18 (2) (2024)
Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) (2023)
Allou Samé
Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings. ICMLA (2023)
Kévin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier, Latifa Oukhellou
Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Comput. Appl. 34 (2) (2022)
Louise Bonfils, Allou Samé, Latifa Oukhellou
Dynamic clustering and modeling of temporal data subject to common regressive effects. Neurocomputing 500 (2022)
Matthias Heinrich, Marie Ruellan, Jean-Pierre Lévy, Allou Samé, Latifa Oukhellou
What insights can we draw from our residential energy models?: guidelines for future modelling exercises. BuildSys@SenSys (2022)
Louise Bonfils, Allou Samé, Latifa Oukhellou
Dynamic clustering and modeling of temporal data subject to common regressive effects. ESANN (2021)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim
Online common change-point detection in a set of nonstationary categorical time series. Neurocomputing 439 (2021)
Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun
Machine learning and data mining for urban mobility intelligence. ESANN (2021)
Allou Samé, Milad Leyli-Abadi
Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach. PAKDD (Workshops) (2019)
Kévin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou
LSTM Encoder-Predictor for Short-Term Train Load Forecasting. ECML/PKDD (3) (2019)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. ACM Trans. Intell. Syst. Technol. 10 (6) (2019)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IJCNN (2018)
Allou Samé
Sequential Variational Learning of Dynamic Factor Mixtures. ICDM Workshops (2018)
Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou, Stéphane Espié
Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. IEEE Trans. Intell. Transp. Syst. 19 (12) (2018)
Nicolas Cheifetz, Allou Samé, Zineb Sabir, Anne-Claire Sandraz, Cédric Féliers
Extracting urban water usage habits from smart meter data: a functional clustering approach. ESANN (2017)
Allou Samé, Gérard Govaert
Segmental dynamic factor analysis for time series of curves. Stat. Comput. 27 (6) (2017)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. DSAA (2017)
Samer Mohammed, Allou Samé, Latifa Oukhellou, Kyoungchul Kong, Weiguang Huo, Yacine Amirat
Recognition of gait cycle phases using wearable sensors. Robotics Auton. Syst. 75 (2016)
Allou Samé
Dynamic Factor Mixture of Experts for Functional Time Series Modeling. ICMLA (2016)
Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou
Hourly Solar Irradiance Forecasting Based on Machine Learning Models. ICMLA (2016)
Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
A variational Expectation-Maximization algorithm for temporal data clustering. Comput. Stat. Data Anal. 103 (2016)
Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Samé, Latifa Oukhellou
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. ICMLA (2015)
Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou
Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. ESANN (2015)
Fateh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, François Stephan, Allou Samé, Latifa Oukhellou
Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. CSDM (2015)
Allou Samé, Hani El Assaad
A state-space approach to modeling functional time series application to rail supervision. EUSIPCO (2014)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR (2013)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. CoRR (2013)
Faicel Chamroukhi, Hervé Glotin, Allou Samé
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. CoRR (2013)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu
A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures. ICMLA (1) (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. CoRR (2013)
Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
Model-Based Clustering of Temporal Data. ICANN (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR (2013)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. CoRR (2013)
Faicel Chamroukhi, Hervé Glotin, Allou Samé
Model-based functional mixture discriminant analysis with hidden process regression for curve classification. Neurocomputing 112 (2013)
Allou Samé, Gérard Govaert
Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. ICMLA (1) (2012)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
A sequential testing approach for change-point detection on bus door systems. ITSC (2012)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
A CUSUM approach for online change-point detection on curve sequences. ESANN (2012)
Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. 5 (4) (2011)
Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
A pattern recognition approach for anomaly detection on buses brake system. ITSC (2011)
Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN (2011)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing 73 (7-9) (2010)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
Time series modeling by a regression approach based on a latent process. Neural Networks 22 (5-6) (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for signal parametrization. ESANN (2009)
Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
A regression model with a hidden logistic process for feature extraction from time series. IJCNN (2009)
Allou Samé
Grouped data clustering using a fast mixture-model-based algorithm. SMC (2009)
Allou Samé, Christophe Ambroise, Gérard Govaert
An online classification EM algorithm based on the mixture model. Stat. Comput. 17 (3) (2007)
Allou Samé, Laurent Bouillaut, Patrice Aknin, A. Ben Salem
Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée. Rev. d'Intelligence Artif. 21 (3) (2007)
Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin
Mixture-model-based signal denoising. Adv. Data Anal. Classif. 1 (1) (2007)
Allou Samé, Christophe Ambroise, Gérard Govaert
A classification EM algorithm for binned data. Comput. Stat. Data Anal. 51 (2) (2006)
Allou Samé, Gérard Govaert, Christophe Ambroise
A Mixture Model-Based On-line CEM Algorithm. IDA (2005)
Allou Samé, Christophe Ambroise, Gérard Govaert
A Mixture Model Approach for Binned Data Clustering. IDA (2003)