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 | 123 | 2011 |

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 | 82 | 2016 |

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 | 75 | 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 | 75 | 2009 |

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 | 50 | 2017 |

An online classification EM algorithm based on the mixture model A Samé, C Ambroise, G Govaert Statistics and Computing 17 (3), 209-218, 2007 | 48 | 2007 |

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 | 44 | 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 | 43 | 2010 |

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 | 42 | 2020 |

LSTM encoder-predictor for short-term train load forecasting K Pasini, M Khouadjia, A Same, F Ganansia, L Oukhellou Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 34 | 2020 |

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 | 32 | 2017 |

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 | 27 | 2011 |

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 | 26 | 2017 |

Model-based functional mixture discriminant analysis with hidden process regression for curve classification F Chamroukhi, H Glotin, A Samé Neurocomputing 112, 153-163, 2013 | 26 | 2013 |

A classification EM algorithm for binned data A Samé, C Ambroise, G Govaert Computational statistics & data analysis 51 (2), 466-480, 2006 | 24 | 2006 |

Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches F Attal, A Boubezoul, A Samé, L Oukhellou, S Espié IEEE Transactions on Intelligent Transportation Systems 19 (12), 4011-4022, 2018 | 23 | 2018 |

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 | 22 | 2016 |

extraction F Chamroukhi, A Samé, G Govaert, P Aknin | 22* | 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 | 22 | 2009 |

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 | 22 | 2009 |