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 | 77 | 2011 |

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 | 61 | 2010 |

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 | 60 | 2009 |

An online classification EM algorithm based on the mixture model A Samé, C Ambroise, G Govaert Statistics and Computing 17 (3), 209-218, 2007 | 40 | 2007 |

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 | 35 | 2016 |

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 | 35 | 2010 |

A classification EM algorithm for binned data A Samé, C Ambroise, G Govaert Computational statistics & data analysis 51 (2), 466-480, 2006 | 22 | 2006 |

Model-based functional mixture discriminant analysis with hidden process regression for curve classification F Chamroukhi, H Glotin, A Samé Neurocomputing 112, 153-163, 2013 | 19 | 2013 |

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 | 18 | 2009 |

A regression model with a hidden logistic process for feature extraction from time series F Chamroukhi, A Same, G Govaert, P Aknin Neural Networks, IEEE-INNS-ENNS International Joint Conference on, 489-496, 2009 | 18 | 2009 |

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 | 17 | 2011 |

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 | 16 | 2017 |

Switch mechanism diagnosis using a pattern recognition approach F Chamroukhi, A Samé, P Aknin, M Antoni Railway Condition Monitoring, 2008 4th IET International Conference on, 1-4, 2008 | 12 | 2008 |

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 | 11 | 2017 |

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 | 10 | 2012 |

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 | 9 | 2016 |

Mixture-model-based signal denoising A Samé, L Oukhellou, E Côme, P Aknin Advances in Data Analysis and Classification 1 (1), 39-51, 2007 | 9 | 2007 |

Modèles de mélange et classification de données acoustiques en temps réel AB Samé Compiègne, 2004 | 9 | 2004 |

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 | 8 | 2016 |