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.
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2008
Fernández Hilario, A. L. . ., García López, S. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2008). A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets. Fuzzy Sets and Systems, 159, 2378-2398. https://doi.org/10.1016/j.fss.2007.12.023
Cano De Amo, J. R. . ., Herrera Triguero, F. ., Lozano Márquez, M. . ., & García López, S. . (2008). Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems With Applications, 35, 1949-1965.
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2008). An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy System. 1121-1128. (Original work published 2025)
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2008). Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process. 1446-1453. (Original work published 2025)
Alcalá, R. ., Alcala-Fdez, J. ., Gacto, M. J., & Herrera Triguero, F. . (2008). On the use of Multiobjective Genetic Algorithms to Improve the Accuracy-Interpretability Trade-Off of Fuzzy Rule-Based Systems (A. . Ghosh, S. . Dehuri, & S. . Ghosh, Eds.).
Alcalá, R. ., Alcala-Fdez, J. ., Gacto, M. J., & Herrera Triguero, F. . (2008). On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection (A. . Ghosh, S. . Dehuri, & S. . Ghosh, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-77467-9_5
2007
Cano De Amo, J. R. . ., Herrera Triguero, F. ., & Lozano Márquez, M. . . (2007). Evolutionary Stratified Training Set Selection for Extracting Classification Rules with trade off Precision-Interpretability. Data \& Knowledge Engineering, 60, 90-108.
Alcalá, R. ., Alcala-Fdez, J. ., Gacto, M. J., & Herrera Triguero, F. . (2007). Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. 1538-1543. London (United Kingdom). (Original work published 2025)
González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2007). Multiobjective genetic algorithm for extractiong subgroup discovery fuzzy rules. 50-57. Honolulu (USA): Omnipress.