Francisco Herrera Triguero

First name
Francisco
Last name
Herrera Triguero

2008

Cano De Amo, J. R., García López, S., & Herrera Triguero, F. (2008). Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters, 29, 2156-2164. https://doi.org/10.1016/j.patrec.2008.08.001
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Luengo, J., García López, S., Cano De Amo, J. R., & Herrera Triguero, F. (2008). Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. 257-263. Mieres (Spain). (Original work published 2026)
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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
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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)
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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
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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. Presented at the. Langreo-Mieres (Spain). (Original work published 2026)
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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.
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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).
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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).
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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.
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