García López, S., Derrac, J., Triguero, I., Carmona, C. J., & Herrera Triguero, F. (2010). A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. 601-610. Cordoba.
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2010
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences, 180, 1268-1291. https://doi.org/10.1016/j.ins.2009.12.014
Alcala-Fdez, J., Garcia, S., Sánchez, L., Robles, I., del Jesus Díaz, M. J., Bernadó-Mansilla, E., … Herrera Triguero, F. (2010). Introduction to the Experimental Design in the Data Mining Tool KEEL. (Original work published)
García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2010). A Review on Evolutionary Prototype Selection. https://doi.org/10.4018/978-1-60566-798-0.ch005
Fernández Hilario, A. L., Calderón, M., Barrenechea, E., Bustince, H., & Herrera Triguero, F. (2010). Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations. Fuzzy Sets and Systems, 161, 3064-3080. https://doi.org/10.1016/j.fss.2010.05.016
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. 6178, 89-98. Dortmund (Germany). (Original work published 2026)
García López, S., Fernández Hilario, A. L., Luengo, J., & Herrera Triguero, F. (2010). Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences, 180, 2044-2064. https://doi.org/10.1016/j.ins.2009.12.010
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. 69-74. Mieres (Spain). (Original work published 2026)
Gacto, M. J., Alcalá, R., & Herrera Triguero, F. (2010). Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. 228-238. Córdoba. (Original work published 2026)
Fernández Hilario, A. L., Luengo, J., García López, S., Bernadó-Mansilla, E., & Herrera Triguero, F. (2010). Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation, 14, 913-941. https://doi.org/10.1109/TEVC.2009.2039140