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. Presentado en. Langreo-Mieres (Spain). (Original work published 2025)
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 2025)
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.