Cano De Amo, J. R., Herrera Triguero, F., & Lozano, M. (2008). Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. (Original work published)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2008
del Jesus Díaz, M. J., González García, P., & Herrera Triguero, F. (2008). Subgroup Discovery with Linguistic Rules (H. Bustince, F. Herrera Triguero, & J. Montero, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-73723-0_21
González García, P., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). Influencia de la granularidad y de las medidas de calidad en SDIGA. Presented at the. Langreo-Mieres (Spain). (Original work published 2026)
García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2008). A memetic algorithm for Evolutionary Prototype Selection: A Scaling Up Approach. Pattern Recognition, 41, 2693-2709.
Alcala-Fdez, J., García López, S., Berlanga, F., Fernández Hilario, A. L., Sánchez, L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems. 83-88. WittenBommerholz (Germany).
Berlanga, F., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems. 101-106. WittenBommerholz (Germany).
Cano De Amo, J. R., Herrera Triguero, F., Lozano, M., & García López, S. (2008). Making CN1 -SD Subgroup Discovery Algorithm Scalable to Large Size Data Sets Using Instance Selection. Expert System With Applications, 35, 1949-1965.
2007
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. 170-179. Genova (Italy): Springer-Verlag. (Original work published 2026)
Alcalá, R., Alcala-Fdez, J., Gacto, M. J., & Herrera Triguero, F. (2007). Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing, 11, 401-419. https://doi.org/10.1007/s00500-006-0106-2
Cano De Amo, J. R., García López, S., Herrera Triguero, F., & Bernadó-Mansilla, E. (2007). Análisis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separabilty. 145-152. Zaragoza.