| Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Derrac, S Garcia, L Sanchez, F Herrera J. Mult. Valued Logic Soft Comput 17, 255-287, 2015 | 2959 | 2015 |
| KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ... Soft Computing 13, 307-318, 2009 | 1719 | 2009 |
| KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García, J Alcalá-Fdez, J Luengo, ... International Journal of Computational Intelligence Systems 10 (1), 1238-1249, 2017 | 290 | 2017 |
| Lithium-ion battery degradation indicators via incremental capacity analysis D Anseán, VM García, M González, C Blanco-Viejo, JC Viera, YF Pulido, ... IEEE Transactions on Industry Applications 55 (3), 2992-3002, 2019 | 215 | 2019 |
| Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms MJ Del Jesus, F Hoffmann, LJ Navascués, L Sánchez IEEE Transactions on Fuzzy Systems 12 (3), 296-308, 2004 | 192 | 2004 |
| Combining GP operators with SA search to evolve fuzzy rule based classifiers L Sánchez, I Couso, JA Corrales Information Sciences 136 (1-4), 175-191, 2001 | 179 | 2001 |
| Solving electrical distribution problems using hybrid evolutionary data analysis techniques O Cordón, F Herrera, L Sánchez Applied Intelligence 10, 5-24, 1999 | 146 | 1999 |
| Genetic learning of fuzzy rules based on low quality data L Sánchez, I Couso, J Casillas Fuzzy Sets and Systems 160 (17), 2524-2552, 2009 | 128 | 2009 |
| Similarity and dissimilarity measures between fuzzy sets: a formal relational study I Couso, L Garrido, L Sánchez Information Sciences 229, 122-141, 2013 | 102 | 2013 |
| Induction of descriptive fuzzy classifiers with the Logitboost algorithm J Otero, L Sánchez Soft Computing 10, 825-835, 2006 | 99 | 2006 |
| Advocating the use of imprecisely observed data in genetic fuzzy systems L Sánchez, I Couso IEEE Transactions on Fuzzy Systems 15 (4), 551-562, 2007 | 96 | 2007 |
| Variational encoding approach for interpretable assessment of remaining useful life estimation N Costa, L Sánchez Reliability Engineering & System Safety 222, 108353, 2022 | 93 | 2022 |
| Higher order models for fuzzy random variables I Couso, L Sánchez Fuzzy Sets and Systems 159 (3), 237-258, 2008 | 92 | 2008 |
| Random sets and random fuzzy sets as ill-perceived random variables I Couso, D Dubois, L Sánchez SpringerBriefs in Computational Intelligence, 2014 | 87 | 2014 |
| Diagnosis of dyslexia with low quality data with genetic fuzzy systems AM Palacios, L Sánchez, I Couso International journal of approximate reasoning 51 (8), 993-1009, 2010 | 70 | 2010 |
| Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data L Sánchez, MR Suárez, JR Villar, I Couso International Journal of Approximate Reasoning 49 (3), 607-622, 2008 | 68 | 2008 |
| Boosting fuzzy rules in classification problems under single‐winner inference L Sánchez, J Otero International journal of intelligent systems 22 (9), 1021-1034, 2007 | 65 | 2007 |
| Genetic learning of the membership functions for mining fuzzy association rules from low quality data AM Palacios, JL Palacios, L Sánchez, J Alcalá-Fdez Information Sciences 295, 358-378, 2015 | 60 | 2015 |
| A genetic fuzzy linguistic combination method for fuzzy rule-based multiclassifiers K Trawiński, O Cordon, L Sánchez, A Quirin IEEE Transactions on Fuzzy Systems 21 (5), 950-965, 2013 | 56 | 2013 |
| Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria L Sánchez, I Couso, J Casillas 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2007 | 52 | 2007 |
