Gacto, M. J., Galende, M. ., Alcalá, R. ., & Herrera Triguero, F. . (2013). Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. 1-7. (Original work published 2013)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2013
2012
Villar, P. ., Fernández Hilario, A. L. . ., Carrasco, R. ., & Herrera Triguero, F. . (2012). Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 369-397. https://doi.org/10.1142/S0218488512500195
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Improving Multi-label Classifiers via Label Reduction with Association Rules. 188-199. Salamanca (Spain). https://doi.org/10.1007/978-3-642-28931-6_18 (Original work published)
García López, S. ., Derrac, J. ., Cano De Amo, J. R. . ., & Herrera Triguero, F. . (2012). Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions Pattern Analysis and Machiche Intelligence, 34, 417-435. https://doi.org/10.1109/TPAMI.2011.142
Lozano Márquez, M. . ., Herrera Triguero, F. ., & Cano De Amo, J. R. . . (2012). Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Sciences.
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2012). A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence, 36, 330-347. https://doi.org/10.1007/s10489-010-0264-x
López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. Presentado en. (Original work published)
García López, S. ., López, V. ., Luengo, J. ., Carmona, C. J. ., & Herrera Triguero, F. . (2012). A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 211-216. Villamoura - (Portugal). (Original work published 2025)
Galar, M. ., Fernández Hilario, A. L. . ., Barrenechea, E. ., Bustince, H. ., & Herrera Triguero, F. . (2012). A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches. IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews, 42, 463-484. https://doi.org/10.1109/TSMCC.2011.2161285
López, V. ., Fernández Hilario, A. L. . ., Moreno-Torres, J. ., & Herrera Triguero, F. . (2012). Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Systems With Applications, 39, 6585-6608. https://doi.org/10.1016/j.eswa.2011.12.043