A survey on filter techniques for feature selection in gene expression microarray analysis C Lazar, J Taminau, S Meganck, D Steenhoff, A Coletta, C Molter, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 9 …, 2012 | 328 | 2012 |

Systems practice: how to act in a climate change world R Ison Springer Science & Business Media, 2010 | 311 | 2010 |

Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways JM Renders, H Bersini Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994 | 279 | 1994 |

Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 277 | 1999 |

Hints for adaptive problem solving gleaned from immune networks H Bersini, FJ Varela International Conference on Parallel Problem Solving from Nature, 343-354, 1990 | 252 | 1990 |

Handbook of fuzzy computation EH Ruspini, PP Bonissone, W Pedrycz | 197 | 1998 |

Batch effect removal methods for microarray gene expression data integration: a survey C Lazar, S Meganck, J Taminau, D Steenhoff, A Coletta, C Molter, ... Briefings in bioinformatics 14 (4), 469-490, 2012 | 169 | 2012 |

Results of the first international contest on evolutionary optimisation (1st ICEO) H Bersini, M Dorigo, S Langerman, G Seront, L Gambardella Proceedings of IEEE International Conference on Evolutionary Computation …, 1996 | 163 | 1996 |

The immune recruitment mechanism: A selective evolutionary strategy H Bersini Proc. of 4th Int. Conf. on Genetic Algorithms, 520-526, 1991 | 156 | 1991 |

Asynchrony induces stability in cellular automata based models H Bersini, V Detours Artificial life IV, 382-387, 1994 | 153 | 1994 |

CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: Experimental results and comparison with the DFO algorithm FV Berghen, H Bersini Journal of computational and applied mathematics 181 (1), 157-175, 2005 | 150 | 2005 |

Default cascades in complex networks: Topology and systemic risk T Roukny, H Bersini, H Pirotte, G Caldarelli, S Battiston Scientific reports 3, 2759, 2013 | 146 | 2013 |

Neural controller based on back-propagation algorithm M Saerens, A Soquet IEE Proceedings F (Radar and Signal Processing) 138 (1), 55-62, 1991 | 141 | 1991 |

Recycling Frank: spontaneous emergence of homochirality in noncatalytic systems R Plasson, H Bersini, A Commeyras Proceedings of the National Academy of Sciences 101 (48), 16733-16738, 2004 | 140 | 2004 |

Emergence of homochirality in far‐from‐equilibrium systems: mechanisms and role in prebiotic chemistry R Plasson, DK Kondepudi, H Bersini, A Commeyras, K Asakura Chirality: The Pharmacological, Biological, and Chemical Consequences of …, 2007 | 134 | 2007 |

A comparison of Q-learning and classifier systems M Dorigo, H Bersini From animals to animats 3, 248-255, 1994 | 133 | 1994 |

Lazy learning meets the recursive least squares algorithm M Birattari, G Bontempi, H Bersini Advances in neural information processing systems, 375-381, 1999 | 129 | 1999 |

Recurrent fuzzy systems V Gorrini, H Bersini Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 193-198, 1994 | 124 | 1994 |

Separation of samples into their constituents using gene expression data D Venet, F Pecasse, C Maenhaut, H Bersini Bioinformatics 17 (suppl_1), S279-S287, 2001 | 115 | 2001 |

The local paradigm for modeling and control: from neuro-fuzzy to lazy learning G Bontempi, H Bersini, M Birattari Fuzzy sets and systems 121 (1), 59-72, 2001 | 105 | 2001 |