| 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 | 673 | 2012 |
| 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 | 363 | 2013 |
| Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 344 | 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 | 317 | 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 | 298 | 1990 |
| Default cascades in complex networks: Topology and systemic risk T Roukny, H Bersini, H Pirotte, G Caldarelli, S Battiston Scientific reports 3 (1), 2759, 2013 | 208 | 2013 |
| 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 | 190 | 2007 |
| Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages J Taminau, S Meganck, C Lazar, D Steenhoff, A Coletta, C Molter, ... BMC bioinformatics 13, 1-9, 2012 | 189 | 2012 |
| 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 | 186 | 2001 |
| Asynchrony induces stability in cellular automata based models H Bersini, V Detours | 180 | 1994 |
| 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 | 178 | 1996 |
| The immune recruitment mechanism: A selective evolutionary strategy H Bersini Proceedings of 4th International Conference on Genetic Algorithms, 520-526, 1991 | 177 | 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 | 176 | 2005 |
| Long and short-term recommendations with recurrent neural networks R Devooght, H Bersini Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 167 | 2017 |
| Lazy learning meets the recursive least squares algorithm M Birattari, G Bontempi, H Bersini Advances in neural information processing systems 11, 1998 | 159 | 1998 |
| 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 | 157 | 2004 |
| A comparison of Q-learning and classifier systems M Dorigo, H Bersini From animals to animats 3, 248-255, 1994 | 148 | 1994 |
| Recurrent fuzzy systems V Gorrini, H Bersini Proceedings of 1994 IEEE 3rd international fuzzy systems conference, 193-198, 1994 | 144 | 1994 |
| Uml for abm H Bersini Journal of Artificial Societies and Social Simulation 15 (1), 9, 2012 | 139 | 2012 |
| 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 | 119 | 2001 |
