Allou Samé
Orcid: 0000-0003-1531-6019
According to our database1,
Allou Samé
authored at least 47 papers
between 2003 and 2024.
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Bibliography
2024
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., November, 2024
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., June, 2024
2023
Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings.
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.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Contextual anomaly detection on time series: a case study of metro ridership analysis.
Neural Comput. Appl., 2022
Dynamic clustering and modeling of temporal data subject to common regressive effects.
Neurocomputing, 2022
What insights can we draw from our residential energy models?: guidelines for future modelling exercises.
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.
Neurocomputing, 2021
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.
ACM Trans. Intell. Syst. Technol., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
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.
IEEE Trans. Intell. Transp. Syst., 2018
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Extracting urban water usage habits from smart meter data: a functional clustering approach.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
Comput. Stat. Data Anal., 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
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.
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.
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.
Proceedings of the Complex Systems Design & Management, 2015
2014
A state-space approach to modeling functional time series application to rail supervision.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Model-based functional mixture discriminant analysis with hidden process regression for curve classification.
Neurocomputing, 2013
CoRR, 2013
A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
2012
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012
Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Adv. Data Anal. Classif., 2011
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.
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.
Neurocomputing, 2010
2009
Neural Networks, 2009
Proceedings of the IEEE International Conference on Systems, 2009
A regression model with a hidden logistic process for feature extraction from time series.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2007
Stat. Comput., 2007
Réseaux bayésiens dynamiques à variable exogène continue pour la classification des points singuliers d'une voie ferrée.
Rev. d'Intelligence Artif., 2007
2006
2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2003
Proceedings of the Advances in Intelligent Data Analysis V, 2003