Allou Samé - RankMe

57 papers B 13C 5Journal 28Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Model-based clustering and alignment of water quality curves with prior knowledge integration using hidden Markov random fields. Expert Syst. Appl. Paul Riverain, Pierre Mandel, Allou Samé, Latifa Oukhellou, Karine Delabre, Alexandre Fleury
2024	J	`jnl`	A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
2024	J	`jnl`	Deep Probabilistic Forecasting of Multivariate Count Data With "Sums and Shares" Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub. IEEE Trans. Intell. Transp. Syst. Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
2024	J	`jnl`	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. Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
2023	—	`conf`	A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
2023	C	`conf`	Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings. ICMLA Allou Samé
2022	J	`jnl`	Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Comput. Appl. Kevin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier, Latifa Oukhellou
2022	J	`jnl`	Dynamic clustering and modeling of temporal data subject to common regressive effects. Neurocomputing Louise Bonfils, Allou Samé, Latifa Oukhellou
2022	—	`conf`	What insights can we draw from our residential energy models?: guidelines for future modelling exercises. BuildSys Matthias Heinrich, Marie Ruellan, Jean-Pierre Lévy, Allou Samé, Latifa Oukhellou
2021	B	`conf`	Dynamic clustering and modeling of temporal data subject to common regressive effects. ESANN Louise Bonfils, Allou Samé, Latifa Oukhellou
2021	B	`conf`	Machine learning and data mining for urban mobility intelligence. ESANN Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun
2021	J	`jnl`	Online common change-point detection in a set of nonstationary categorical time series. Neurocomputing Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim
2019	—	`conf`	Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach. PAKDD (Workshops) Allou Samé, Milad Leyli-Abadi
2019	—	`conf`	LSTM Encoder-Predictor for Short-Term Train Load Forecasting. ECML/PKDD (3) Kevin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou
2019	J	`jnl`	Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. ACM Trans. Intell. Syst. Technol. Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2018	B	`conf`	Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IJCNN Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2018	J	`jnl`	Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. IEEE Trans. Intell. Transp. Syst. Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou, Stéphane Espié
2018	—	`conf`	Sequential Variational Learning of Dynamic Factor Mixtures. ICDM Workshops Allou Samé
2017	B	`conf`	Extracting urban water usage habits from smart meter data: a functional clustering approach. ESANN Nicolas Cheifetz, Allou Samé, Zineb Sabir, Anne-Claire Sandraz, Cédric Féliers
2017	B	`conf`	Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. DSAA Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2017	J	`jnl`	Segmental dynamic factor analysis for time series of curves. Stat. Comput. Allou Samé, Gérard Govaert
2016	J	`jnl`	A variational Expectation-Maximization algorithm for temporal data clustering. Comput. Stat. Data Anal. Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
2016	C	`conf`	Dynamic Factor Mixture of Experts for Functional Time Series Modeling. ICMLA Allou Samé
2016	C	`conf`	Hourly Solar Irradiance Forecasting Based on Machine Learning Models. ICMLA Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou
2016	J	`jnl`	Recognition of gait cycle phases using wearable sensors. Robotics Auton. Syst. Samer Mohammed, Allou Samé, Latifa Oukhellou, Kyoungchul Kong, Weiguang Huo, Yacine Amirat
2015	C	`conf`	Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. ICMLA Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Samé, Latifa Oukhellou
2015	B	`conf`	Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. ESANN Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou
2015	—	`conf`	Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. CSDM Fateh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, François Stephan, Allou Samé, Latifa Oukhellou
2014	—	`conf`	A state-space approach to modeling functional time series application to rail supervision. EUSIPCO Allou Samé, Hani El Assaad
2013	—	`conf`	A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures. ICMLA (1) Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu
2013	J	`jnl`	A hidden process regression model for functional data description. Application to curve discrimination. CoRR Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2013	J	`jnl`	A regression model with a hidden logistic process for feature extraction from time series. CoRR Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2013	J	`jnl`	A regression model with a hidden logistic process for signal parametrization. CoRR Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2013	C	`conf`	Model-Based Clustering of Temporal Data. ICANN Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
2013	J	`jnl`	Model-based clustering and segmentation of time series with changes in regime. CoRR Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
2013	J	`jnl`	Model-based clustering with Hidden Markov Model regression for time series with regime changes. CoRR Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
2013	J	`jnl`	Model-based functional mixture discriminant analysis with hidden process regression for curve classification. CoRR Faicel Chamroukhi, Hervé Glotin, Allou Samé
2013	J	`jnl`	Model-based functional mixture discriminant analysis with hidden process regression for curve classification. Neurocomputing Faicel Chamroukhi, Hervé Glotin, Allou Samé
2013	J	`jnl`	Modèle à processus latent et algorithme EM pour la régression non linéaire. CoRR Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2013	J	`jnl`	Time series modeling by a regression approach based on a latent process. CoRR Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2012	B	`conf`	A CUSUM approach for online change-point detection on curve sequences. ESANN Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
2012	—	`conf`	A sequential testing approach for change-point detection on bus door systems. ITSC Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
2012	—	`conf`	Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection. ICMLA (1) Allou Samé, Gérard Govaert
2011	—	`conf`	A pattern recognition approach for anomaly detection on buses brake system. ITSC Nicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle
2011	J	`jnl`	Model-based clustering and segmentation of time series with changes in regime. Adv. Data Anal. Classif. Allou Samé, Faicel Chamroukhi, Gérard Govaert, Patrice Aknin
2011	B	`conf`	Model-based clustering with Hidden Markov Model regression for time series with regime changes. IJCNN Faicel Chamroukhi, Allou Samé, Patrice Aknin, Gérard Govaert
2010	J	`jnl`	A hidden process regression model for functional data description. Application to curve discrimination. Neurocomputing Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2009	B	`conf`	A regression model with a hidden logistic process for feature extraction from time series. IJCNN Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2009	B	`conf`	A regression model with a hidden logistic process for signal parametrization. ESANN Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2009	B	`conf`	Grouped data clustering using a fast mixture-model-based algorithm. SMC Allou Samé
2009	J	`jnl`	Time series modeling by a regression approach based on a latent process. Neural Networks Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin
2007	J	`jnl`	An online classification EM algorithm based on the mixture model. Stat. Comput. Allou Samé, Christophe Ambroise, Gérard Govaert
2007	J	`jnl`	Mixture-model-based signal denoising. Adv. Data Anal. Classif. Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin
2007	J	`jnl`	Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée. Rev. d'Intelligence Artif. Allou Samé, Laurent Bouillaut, Patrice Aknin, A. Ben Salem
2006	J	`jnl`	A classification EM algorithm for binned data. Comput. Stat. Data Anal. Allou Samé, Christophe Ambroise, Gérard Govaert
2005	B	`conf`	A Mixture Model-Based On-line CEM Algorithm. IDA Allou Samé, Gérard Govaert, Christophe Ambroise
2003	B	`conf`	A Mixture Model Approach for Binned Data Clustering. IDA Allou Samé, Christophe Ambroise, Gérard Govaert