Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Fernández Hilario, A. L. . ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2009). A Preliminar Analysis of CO2RBFN in Imbalanced Problems (J. . Cabestany, F. . Sandoval, A. . Prieto, & J. M. Corchado, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2009
Alcalá, R. ., Alcala-Fdez, J. ., Gacto, M. J., & Herrera Triguero, F. . (2009). Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence, 31, 15-30. https://doi.org/10.1007/s10489-007-0107-6
Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2009). Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing, 13, 419-436. https://doi.org/10.1007/s00500-008-0359-z
Fernández Hilario, A. L. . ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2009). Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System. 5517, 294-301. Salamanca (Spain). (Original work published 2025)
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.
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.