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Allou Samé
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Cited by
Year
Model-based clustering and segmentation of time series with changes in regime
A Samé, F Chamroukhi, G Govaert, P Aknin
Advances in Data Analysis and Classification 5 (4), 301-321, 2011
1022011
A hidden process regression model for functional data description. application to curve discrimination
F Chamroukhi, A Samé, G Govaert, P Aknin
Neurocomputing 73 (7-9), 1210-1221, 2010
682010
Time series modeling by a regression approach based on a latent process
F Chamroukhi, A Samé, G Govaert, P Aknin
Neural Networks 22 (5-6), 593-602, 2009
662009
Recognition of gait cycle phases using wearable sensors
S Mohammed, A Same, L Oukhellou, K Kong, W Huo, Y Amirat
Robotics and Autonomous Systems 75, 50-59, 2016
542016
An online classification EM algorithm based on the mixture model
A Samé, C Ambroise, G Govaert
Statistics and Computing 17 (3), 209-218, 2007
412007
Estimation of fuel cell operating time for predictive maintenance strategies
R Onanena, L Oukhellou, D Candusso, A Same, D Hissel, P Aknin
international journal of hydrogen energy 35 (15), 8022-8029, 2010
392010
A dedicated mixture model for clustering smart meter data: identification and analysis of electricity consumption behaviors
FN Melzi, A Same, MH Zayani, L Oukhellou
Energies 10 (10), 1446, 2017
352017
Hourly solar irradiance forecasting based on machine learning models
FN Melzi, T Touati, A Same, L Oukhellou
ICMLA 2016-IEEE 15th International Conference on Machine Learning and …, 2016
282016
Model-based functional mixture discriminant analysis with hidden process regression for curve classification
F Chamroukhi, H Glotin, A Samé
Neurocomputing 112, 153-163, 2013
232013
A classification EM algorithm for binned data
A Samé, C Ambroise, G Govaert
Computational statistics & data analysis 51 (2), 466-480, 2006
222006
Modeling and clustering water demand patterns from real-world smart meter data
N Cheifetz, Z Noumir, A Samé, AC Sandraz, C Féliers, V Heim
Drinking Water Engineering and Science 2 (10), pp. 75-82, 2017
202017
Model-based clustering with Hidden Markov Model regression for time series with regime changes
F Chamroukhi, A Samé, P Aknin, G Govaert
The 2011 International Joint Conference on Neural Networks, 2814-2821, 2011
192011
extraction
F Chamroukhi, A Samé, G Govaert, P Aknin
18*2010
A regression model with a hidden logistic process for feature extraction from time series
F Chamroukhi, A Samé, G Govaert, P Aknin
2009 International Joint Conference on Neural Networks, 489-496, 2009
182009
A regression model with a hidden logistic process for feature extraction from time series
F Chamroukhi, A Samé, G Govaert, P Aknin
2009 International Joint Conference on Neural Networks, 489-496, 2009
182009
LSTM encoder-predictor for short-term train load forecasting
K Pasini, M Khouadjia, A Same, F Ganansia, L Oukhellou
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
162019
A variational Expectation–Maximization algorithm for temporal data clustering
H El Assaad, A Samé, G Govaert, P Aknin
Computational Statistics & Data Analysis 103, 206-228, 2016
152016
Online time series segmentation using temporal mixture models and Bayesian model selection
A Samé, G Govaert
2012 11th International Conference on Machine Learning and Applications 1 …, 2012
152012
Predictive classification of water consumption time series using non-homogeneous markov models
ML Abadi, A Samé, L Oukhellou, N Cheifetz, P Mandel, C Féliers, ...
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
142017
Detection of cleaning interventions on photovoltaic modules with machine learning
M Heinrich, S Meunier, A Samé, L Quéval, A Darga, L Oukhellou, ...
Applied Energy 263, 114642, 2020
122020
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Articles 1–20