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
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2008
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)
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
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)
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
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)
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.
2007
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets. 375-382. San Sebastián (Spain): Springer-Verlag. (Original work published 2026)
Casillas, J., Herrera Triguero, F., Pérez, R., & Villar, P. (2007). Preface: Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. International Journal of Approximate Reasoning, 44, 1-3. https://doi.org/10.1016/j.ijar.2006.06.002 (Original work published)
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2007). An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. 170-179. Genova (Italy): Springer-Verlag. (Original work published 2026)