| 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 9 (4 …, 2012 | 438 | 2012 |
| Systems practice: how to act in a climate change world R Ison Springer Science & Business Media, 2010 | 343 | 2010 |
| Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 306 | 1999 |
| 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 | 297 | 1994 |
| Hints for adaptive problem solving gleaned from immune networks H Bersini, FJ Varela International Conference on Parallel Problem Solving from Nature, 343-354, 1990 | 274 | 1990 |
| 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, 2013 | 238 | 2013 |
| Handbook of fuzzy computation E Ruspini, P Bonissone, W Pedrycz CRC Press, 2020 | 199 | 2020 |
| Default cascades in complex networks: Topology and systemic risk T Roukny, H Bersini, H Pirotte, G Caldarelli, S Battiston Scientific reports 3 (1), 1-8, 2013 | 176 | 2013 |
| 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 | 168 | 1996 |
| The immune recruitment mechanism: A selective evolutionary strategy H Bersini Proc. of 4th Int. Conf. on Genetic Algorithms, 520-526, 1991 | 168 | 1991 |
| 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 | 162 | 2005 |
| Neural controller based on back-propagation algorithm M Saerens, A Soquet IEE Proceedings F (Radar and Signal Processing) 138 (1), 55-62, 1991 | 162 | 1991 |
| Asynchrony induces stability in cellular automata based models H Bersini, V Detours Artificial life IV, 382-387, 1994 | 160 | 1994 |
| 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 | 150 | 2007 |
| Lazy learning meets the recursive least squares algorithm M Birattari, G Bontempi, H Bersini Advances in neural information processing systems, 375-381, 1999 | 147 | 1999 |
| 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 | 146 | 2004 |
| A comparison of Q-learning and classifier systems M Dorigo, H Bersini From animals to animats 3, 248-255, 1994 | 140 | 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 | 138 | 2001 |
| Recurrent fuzzy systems V Gorrini, H Bersini Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 193-198, 1994 | 129 | 1994 |
| 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 | 111 | 2001 |
