Luengo, J. ., Fernández Hilario, A. L. . ., Herrera Triguero, F. ., & García López, S. . (2009). Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5. 523-528.
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2009
Alcala-Fdez, J. ., Sánchez, L. ., García López, S. ., del Jesus Díaz, M. J. ., Ventura, S. ., Garrell, J. ., … Herrera Triguero, F. . (2009). KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems. Soft Computing, 13, 307-318. https://doi.org/10.1007/s00500-008-0323-y
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2009). Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. 595-602. (Original work published 2025)
Alcala-Fdez, J. ., Alcalá, R. ., Gacto, M. J., & Herrera Triguero, F. . (2009). Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems, 160, 905-921. https://doi.org/10.1016/j.fss.2008.05.012
Carmona, C. J. ., González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2009). An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. 1706-1711. ICC Jeju, Jeju Island, Korea. (Original work published 2025)
Cano De Amo, J. R. . ., González García, P. ., García, J. J. . A., López-Herrera, A. ., Herrera Triguero, F. ., Navío, M. ., & Angel, J.-A. M. (2009). Modelo predictivo colaborativo de apoyo al diagnóstico en servicio de urgencias psiquiátricas. Revista Ibérica De Sistemas Y Tecnologías De La información, 4, 29-42.
García López, S. ., Cano De Amo, J. R. . ., Bernadó-Mansilla, E. ., & Herrera Triguero, F. . (2009). Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure. International Journal of Pattern Recognition and Artificial Intelligence, 23, 1527-1548.
Carmona, C. J. ., González García, P. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2009). Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. 5572, 573-580. Salamanca (Spain): Springer. (Original work published 2025)
García López, S. ., Fernández Hilario, A. L. . ., & Herrera Triguero, F. . (2009). Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems. Applied Soft Computing, 9, 1304-1314. https://doi.org/10.1016/j.asoc.2009.04.004
Fernández Hilario, A. L. . ., Herrera Triguero, F. ., & del Jesus Díaz, M. J. . (2009). On the influence of an adaptive inference system in fuzzy rule-based classification sytems for imbalanced data-sets. Expert Systems With Applications, 36, 9805-9812. https://doi.org/10.1016/j.eswa.2009.02.048