A Mixture Model Approach for Binned Data Clustering. - Allou Samé; Christophe Ambroise; Gérard Govaert (IDA, 2003)

A Mixture Model-Based On-line CEM Algorithm. - Allou Samé; Gérard Govaert; Christophe Ambroise (IDA, 2005)

A classification EM algorithm for binned data. - Allou Samé; Christophe Ambroise; Gérard Govaert (Comput. Stat. Data Anal., 2006)

Mixture-model-based signal denoising. - Allou Samé; Latifa Oukhellou; Etienne Côme; Patrice Aknin (Adv. Data Anal. Classif., 2007)

Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée. - Allou Samé; Laurent Bouillaut; Patrice Aknin; A. Ben Salem (Rev. d'Intelligence Artif., 2007)

An online classification EM algorithm based on the mixture model. - Allou Samé; Christophe Ambroise; Gérard Govaert (Stat. Comput., 2007)

A regression model with a hidden logistic process for signal parametrization. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (ESANN, 2009)

A regression model with a hidden logistic process for feature extraction from time series. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (IJCNN, 2009)

Grouped data clustering using a fast mixture-model-based algorithm. - Allou Samé (SMC, 2009)

Time series modeling by a regression approach based on a latent process. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (Neural Networks, 2009)

A hidden process regression model for functional data description. Application to curve discrimination. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (Neurocomputing, 2010)

Model-based clustering with Hidden Markov Model regression for time series with regime changes. - Faicel Chamroukhi; Allou Samé; Patrice Aknin; Gérard Govaert (IJCNN, 2011)

A pattern recognition approach for anomaly detection on buses brake system. - Nicolas Cheifetz; Allou Samé; Patrice Aknin; Emmanuel De Verdalle (ITSC, 2011)

Model-based clustering and segmentation of time series with changes in regime. - Allou Samé; Faicel Chamroukhi; Gérard Govaert; Patrice Aknin (Adv. Data Anal. Classif., 2011)

A CUSUM approach for online change-point detection on curve sequences. - Nicolas Cheifetz; Allou Samé; Patrice Aknin; Emmanuel De Verdalle (ESANN, 2012)

Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. - Allou Samé; Gérard Govaert (ICMLA (1), 2012)

A sequential testing approach for change-point detection on bus door systems. - Nicolas Cheifetz; Allou Samé; Patrice Aknin; Emmanuel De Verdalle (ITSC, 2012)

Model-Based Clustering of Temporal Data. - Hani El Assaad; Allou Samé; Gérard Govaert; Patrice Aknin (ICANN, 2013)

A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures. - Nicolas Cheifetz; Allou Samé; Patrice Aknin; Emmanuel De Verdalle; Damien Chenu (ICMLA (1), 2013)

Modèle à processus latent et algorithme EM pour la régression non linéaire. - Faicel Chamroukhi; Allou Samé; Gérard Govaert; Patrice Aknin (CoRR, 2013)

Model-based functional mixture discriminant analysis with hidden process regression for curve classification. - Faicel Chamroukhi; Hervé Glotin; Allou Samé (Neurocomputing, 2013)

A state-space approach to modeling functional time series application to rail supervision. - Allou Samé; Hani El Assaad (EUSIPCO, 2014)

Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. - Fateh Nassim Melzi; Mohamed-Haykel Zayani; Amira Ben Hamida; François Stephan; Allou Samé; Latifa Oukhellou (CSDM, 2015)

Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. - Ferhat Attal; Abderrahmane Boubezoul; Allou Samé; Latifa Oukhellou (ESANN, 2015)

Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. - Feteh Nassim Melzi; Mohamed-Haykel Zayani; Amira Ben Hamida; Allou Samé; Latifa Oukhellou (ICMLA, 2015)

Hourly Solar Irradiance Forecasting Based on Machine Learning Models. - Fateh Nassim Melzi; Taieb Touati; Allou Samé; Latifa Oukhellou (ICMLA, 2016)

Dynamic Factor Mixture of Experts for Functional Time Series Modeling. - Allou Samé (ICMLA, 2016)

A variational Expectation-Maximization algorithm for temporal data clustering. - Hani El Assaad; Allou Samé; Gérard Govaert; Patrice Aknin (Comput. Stat. Data Anal., 2016)

Recognition of gait cycle phases using wearable sensors. - Samer Mohammed; Allou Samé; Latifa Oukhellou; Kyoungchul Kong; Weiguang Huo; Yacine Amirat (Robotics Auton. Syst., 2016)

Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Olivier Chesneau (DSAA, 2017)

Extracting urban water usage habits from smart meter data: a functional clustering approach. - Nicolas Cheifetz; Allou Samé; Zineb Sabir; Anne-Claire Sandraz; Cédric Féliers (ESANN, 2017)

Segmental dynamic factor analysis for time series of curves. - Allou Samé; Gérard Govaert (Stat. Comput., 2017)

Sequential Variational Learning of Dynamic Factor Mixtures. - Allou Samé (ICDM Workshops, 2018)

Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Olivier Chesneau (IJCNN, 2018)

Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. - Ferhat Attal; Abderrahmane Boubezoul; Allou Samé; Latifa Oukhellou; Stéphane Espié (IEEE Trans. Intell. Transp. Syst., 2018)

Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach. - Allou Samé; Milad Leyli-Abadi (PAKDD (Workshops), 2019)

LSTM Encoder-Predictor for Short-Term Train Load Forecasting. - Kevin Pasini; Mostepha Khouadjia; Allou Samé; Fabrice Ganansia; Latifa Oukhellou (ECML/PKDD (3), 2019)

Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Olivier Chesneau (ACM Trans. Intell. Syst. Technol., 2019)

Machine learning and data mining for urban mobility intelligence. - Etienne Côme; Latifa Oukhellou; Allou Samé; Lijun Sun (ESANN, 2021)

Online common change-point detection in a set of nonstationary categorical time series. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Véronique Heim (Neurocomputing, 2021)

What insights can we draw from our residential energy models?: guidelines for future modelling exercises. - Matthias Heinrich; Marie Ruellan; Jean-Pierre Lévy; Allou Samé; Latifa Oukhellou (BuildSys, 2022)

Dynamic clustering and modeling of temporal data subject to common regressive effects. - Louise Bonfils; Allou Samé; Latifa Oukhellou (Neurocomputing, 2022)

Contextual anomaly detection on time series: a case study of metro ridership analysis. - Kevin Pasini; Mostepha Khouadjia; Allou Samé; Martin Trépanier; Latifa Oukhellou (Neural Comput. Appl., 2022)

A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. - Hugues Moreau; Etienne Côme; Allou Samé; Latifa Oukhellou (ICDM (Workshops), 2023)

Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings. - Allou Samé (ICMLA, 2023)

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. - Paul de Nailly; Etienne Côme; Latifa Oukhellou; Allou Samé; Jacques Ferriere; Yasmine Merad-Boudia (Adv. Data Anal. Classif., 2024)

Deep Probabilistic Forecasting of Multivariate Count Data With "Sums and Shares" Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub. - Paul de Nailly; Etienne Côme; Latifa Oukhellou; Allou Samé; Jacques Ferriere; Yasmine Merad-Boudia (IEEE Trans. Intell. Transp. Syst., 2024)

Model-based clustering and alignment of water quality curves with prior knowledge integration using hidden Markov random fields. - Paul Riverain; Pierre Mandel; Allou Samé; Latifa Oukhellou; Karine Delabre; Alexandre Fleury (Expert Syst. Appl., 2025)