Fernández, A. ., López, V. ., Galar, M. ., del Jesus Díaz, M. J. ., Herrera Triguero, F. ., & BV, E. S. (2013). Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowledge-Based Systems, 42, 97-110. https://doi.org/10.1016/j.knosys.2013.01.018
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2013
2012
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. Presented at the. (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
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2012). Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. 295-300. Valladolid (Spain). (Original work published 2025)
López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 2. (Original work published)
García López, S. ., Derrac, J. ., Triguero, I. ., Carmona, C. J. ., & Herrera Triguero, F. . (2012). Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification. Knowledge-Based Systems, 25, 3-12. https://doi.org/10.1016/j.knosys.2011.01.012