Allou Samé

According to our database, Allou Samé authored at least 45 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings.

Allou Samé

Proceedings of the International Conference on Machine Learning and Applications, 2023

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

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Dynamic clustering and modeling of temporal data subject to common regressive effects.

Louise Bonfils, Allou Samé, Latifa Oukhellou

Neurocomputing, 2022

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

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

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

Machine learning and data mining for urban mobility intelligence.

Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

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

LSTM Encoder-Predictor for Short-Term Train Load Forecasting.

Kevin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach.

Allou Samé, Milad Leyli-Abadi

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

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

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sequential Variational Learning of Dynamic Factor Mixtures.

Allou Samé

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Segmental dynamic factor analysis for time series of curves.

Allou Samé, Gérard Govaert

Stat. Comput., 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

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

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

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

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

A variational Expectation-Maximization algorithm for temporal data clustering.

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin

Comput. Stat. Data Anal., 2016

Dynamic Factor Mixture of Experts for Functional Time Series Modeling.

Allou Samé

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Hourly Solar Irradiance Forecasting Based on Machine Learning Models.

Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

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

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions.

Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

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

Proceedings of the Complex Systems Design & Management, 2015

2014

A state-space approach to modeling functional time series application to rail supervision.

Allou Samé, Hani El Assaad

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

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

Faicel Chamroukhi, Hervé Glotin, Allou Samé

Neurocomputing, 2013

Modèle à processus latent et algorithme EM pour la régression non linéaire.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

CoRR, 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

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Model-Based Clustering of Temporal Data.

Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

A sequential testing approach for change-point detection on bus door systems.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection.

Allou Samé, Gérard Govaert

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A CUSUM approach for online change-point detection on curve sequences.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

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 pattern recognition approach for anomaly detection on buses brake system.

Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Model-based clustering with Hidden Markov Model regression for time series with regime changes.

Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

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

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Neurocomputing, 2010

2009

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

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Neural Networks, 2009

Grouped data clustering using a fast mixture-model-based algorithm.

Allou Samé

Proceedings of the IEEE International Conference on Systems, 2009

A regression model with a hidden logistic process for feature extraction from time series.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the International Joint Conference on Neural Networks, 2009

A regression model with a hidden logistic process for signal parametrization.

Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2007

An online classification EM algorithm based on the mixture model.

Allou Samé, Christophe Ambroise, Gérard Govaert

Stat. Comput., 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

Mixture-model-based signal denoising.

Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin

Adv. Data Anal. Classif., 2007

2006

A classification EM algorithm for binned data.

Allou Samé, Christophe Ambroise, Gérard Govaert

Comput. Stat. Data Anal., 2006

2005

A Mixture Model-Based On-line CEM Algorithm.

Allou Samé, Gérard Govaert, Christophe Ambroise

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

2003

A Mixture Model Approach for Binned Data Clustering.

Allou Samé, Christophe Ambroise, Gérard Govaert

Proceedings of the Advances in Intelligent Data Analysis V, 2003