| Comparison of multiobjective evolutionary algorithms: Empirical results E Zitzler, K Deb, L Thiele Evolutionary computation 8 (2), 173-195, 2000 | 7477 | 2000 |
| The irace package: Iterated racing for automatic algorithm configuration M López-Ibáńez, J Dubois-Lacoste, LP Cáceres, M Birattari, T Stützle Operations Research Perspectives 3, 43-58, 2016 | 2067 | 2016 |
| A Racing Algorithm for Configuring Metaheuristics. M Birattari, T Stützle, L Paquete, K Varrentrapp Gecco 2 (2002), 2002 | 834 | 2002 |
| 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 |
| F-Race and Iterated F-Race: An Overview M Birattari, Z Yuan, P Balaprakash, T Stützle Experimental methods for the analysis of optimization algorithms, 311-336, 2010 | 563 | 2010 |
| Tuning metaheuristics: a machine learning perspective M Birattari, J Kacprzyk Springer, 2009 | 492 | 2009 |
| Systems practice: how to act in a climate change world R Ison Springer, 2010 | 411 | 2010 |
| 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 | 364 | 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 |
| Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement P Balaprakash, M Birattari, T Stützle Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund …, 2007 | 332 | 2007 |
| 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 |
| Handbook of fuzzy computation E Ruspini, P Bonissone, W Pedrycz CRC Press, 2020 | 230 | 2020 |
| An effective hybrid algorithm for university course timetabling M Chiarandini, M Birattari, K Socha, O Rossi-Doria Journal of Scheduling 9, 403-432, 2006 | 230 | 2006 |
| 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 | 210 | 2013 |
| A comparison of Q-learning and classifier systems M Dorigo, H Bersini From animals to animats 3, 248-255, 1994 | 204* | 1994 |
| Neural controller based on back-propagation algorithm M Saerens, A Soquet IEE Proceedings F (Radar and Signal Processing) 138 (1), 55-62, 1991 | 204* | 1991 |
| 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 | 193 | 2012 |
| 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 |
| 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 | 187 | 2001 |
