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)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2012
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
2011
Alcalá, R. ., Gacto, M. J., & Herrera Triguero, F. . (2011). A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems, 19, 666-681. https://doi.org/10.1109/TFUZZ.2011.2131657
Sanz, J. ., Fernández Hilario, A. L. . ., Bustince, H. ., & Herrera Triguero, F. . (2011). A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position. International Journal of Approximate Reasoning, 52, 751-766. https://doi.org/10.1016/j.ijar.2011.0
Luengo, J. ., Fernández Hilario, A. L. . ., García López, S. ., & Herrera Triguero, F. . (2011). Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15, 1909-1936. https://doi.org/10.1007/s00500-010-0625-8
Herrera Triguero, F. ., Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2011). An overview on Subgroup Discovery: Foundations and Applications. Knowledge and Information Systems, 29, 495-525. https://doi.org/10.1007/s10115-010-0356-2
Carmona, C. J. ., González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2011). Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD. 17-23. Paris (France). (Original work published 2025)
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. Presentado en. (Original work published 2025)
García López, S. ., Derrac, J. ., Luengo, J. ., Carmona, C. J. ., & Herrera Triguero, F. . (2011). Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing, 11, 3032-3045. https://doi.org/10.1016/j.asoc.2010.11.030