Alcala-Fdez, J., Fernández Hilario, A. L., Luengo, J., Derrac, J., García López, S., Sánchez, L., & Herrera Triguero, F. (2011). KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing, 17, 255-287.
Salvador García López
First name
Salvador
Last name
García López
2011
2010
García López, S., Derrac, J., Triguero, I., Carmona, C. J., & Herrera Triguero, F. (2010). A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. 601-610. Cordoba.
García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2010). A Review on Evolutionary Prototype Selection. https://doi.org/10.4018/978-1-60566-798-0.ch005
García López, S., Fernández Hilario, A. L., Luengo, J., & Herrera Triguero, F. (2010). Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences, 180, 2044-2064. https://doi.org/10.1016/j.ins.2009.12.010
Fernández Hilario, A. L., Luengo, J., García López, S., Bernadó-Mansilla, E., & Herrera Triguero, F. (2010). Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation, 14, 913-941. https://doi.org/10.1109/TEVC.2009.2039140
2009
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.
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.
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
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
García López, S., Fernández Hilario, A. L., & Herrera Triguero, F. (2009). Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y árboles de Decisión. 183-190. Málaga (Spain). (Original work published 2026)