Francisco Herrera Triguero

First name
Francisco
Last name
Herrera Triguero

2012

López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2012). Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 2. (Original work published)
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García López, S. ., Derrac, J. ., Triguero, I. ., Carmona, C. J. ., & Herrera Triguero, F. . (2012). Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification. Knowledge-Based Systems, 25, 3-12. https://doi.org/10.1016/j.knosys.2011.01.012
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Villar, P. ., Fernández Hilario, A. L. . ., Carrasco, R. ., & Herrera Triguero, F. . (2012). Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, 369-397. https://doi.org/10.1142/S0218488512500195
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2011

Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. Presentado en. (Original work published 2026)
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García López, S. ., Derrac, J. ., Luengo, J. ., Carmona, C. J. ., & Herrera Triguero, F. . (2011). Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing, 11, 3032-3045. https://doi.org/10.1016/j.asoc.2010.11.030
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Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181, 4340-4360. https://doi.org/10.1016/j.ins.2011.02.021 COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc..
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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.
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Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). A double axis classi. Presentado en.
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Gacto, M. J., Alcalá, R. ., & Herrera Triguero, F. . (2011). A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems (A. M. Fanelli, W. . Pedrycz, & A. . Petrosino, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
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Alcalá, R. ., Gacto, M. J., & Herrera Triguero, F. . (2011). A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems, 19, 666-681. https://doi.org/10.1109/TFUZZ.2011.2131657
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