Towards hybrid evolutionary algorithms P Preux, EG Talbi International transactions in operational research 6 (6), 557-570, 1999 | 147 | 1999 |

Sparse temporal difference learning using LASSO M Loth, M Davy, P Preux 2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007 | 69 | 2007 |

Fitness landscapes and performance of meta-heuristics C Fonlupt, D Robilliard, P Preux, EG Talbi Meta-Heuristics, 257-268, 1999 | 50 | 1999 |

Nonlinear functional regression: a functional RKHS approach H Kadri, E Duflos, P Preux, S Canu, M Davy | 47 | 2010 |

Operator-valued kernels for learning from functional response data H Kadri, E Duflos, P Preux, S Canu, A Rakotomamonjy, J Audiffren The Journal of Machine Learning Research 17 (1), 613-666, 2016 | 42 | 2016 |

“Virtual laboratory environment”(VLE): a software environment oriented agent and object for modeling and simulation of complex systems E Ramat, P Preux Simulation Modelling Practice and Theory 11 (1), 45-55, 2003 | 41 | 2003 |

Consistent algorithms for clustering time series A Khaleghi, D Ryabko, J Mary, P Preux The Journal of Machine Learning Research 17 (1), 94-125, 2016 | 34 | 2016 |

Scale transfer modeling: using emergent computation for coupling an ordinary differential equation system with a reactive agent model R Duboz, É Ramat, P Preux Systems Analysis Modelling Simulation 43 (6), 793-814, 2003 | 34 | 2003 |

Parallel hybrid meta-heuristics: application to the quadratic assignment problem V Bachelet, P Preux, EG Talbi Proceedings of the Parallel Optimization Colloquium, 233-242, 1996 | 32 | 1996 |

A bit-wise epistasis measure for binary search spaces C Fonlupt, D Robilliard, P Preux International Conference on Parallel Problem Solving from Nature, 47-56, 1998 | 29 | 1998 |

A generic architecture for adaptive agents based on reinforcement learning P Preux, S Delepoulle, JC Darcheville Information Sciences 161 (1-2), 37-55, 2004 | 27 | 2004 |

Bandits attack function optimization P Preux, R Munos, M Valko 2014 IEEE Congress on Evolutionary Computation (CEC), 2245-2252, 2014 | 26 | 2014 |

A generalized kernel approach to structured output learning H Kadri, M Ghavamzadeh, P Preux International Conference on Machine Learning, 471-479, 2013 | 26 | 2013 |

Online clustering of processes A Khaleghi, D Ryabko, J Mary, P Preux Artificial Intelligence and Statistics, 601-609, 2012 | 26 | 2012 |

Datum-wise classification: a sequential approach to sparsity G Dulac-Arnold, L Denoyer, P Preux, P Gallinari Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 26 | 2011 |

Feature discovery in reinforcement learning using genetic programming S Girgin, P Preux European Conference on Genetic Programming, 218-229, 2008 | 25 | 2008 |

Climbing up NP-hard hills D Duvivier, P Preux, EG Talbi International Conference on Parallel Problem Solving from Nature, 574-583, 1996 | 25 | 1996 |

Bandits and recommender systems J Mary, R Gaudel, P Preux International Workshop on Machine Learning, Optimization and Big Data, 325-336, 2015 | 22 | 2015 |

Functional Regularized Least Squares Classi cation with Operator-valued Kernels H Kadri, A Rabaoui, P Preux, E Duflos, A Rakotomamonjy arXiv preprint arXiv:1301.2655, 2013 | 22 | 2013 |

Functional Regularized Least Squares Classi cation with Operator-valued Kernels H Kadri, A Rabaoui, P Preux, E Duflos, A Rakotomamonjy Proc. 28th International Conference on Machine Learning (ICML), 2013 | 22 | 2013 |