Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. 69-74. Mieres (Spain). (Original work published 2026)
Alberto Luis Fernández Hilario
First name
Alberto Luis
Last name
Fernández Hilario
2010
2009
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.
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., 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
Fernández Hilario, A. L., Berlanga, F., del Jesus Díaz, M. J., & Herrera Triguero, F. (2009). Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. 42-47. Lisbon (Portugal).
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2009). Hierarchical fuzzy rule based classfication systems with genetic rule selection for imbalanced data-sets. International Journal of Approximate Reasoning, 50, 561-577. https://doi.org/10.1016/j.ijar.2008.11.004
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 2026)
Fernández Hilario, A. L., Herrera Triguero, F., & del Jesus Díaz, M. J. (2009). On the influence of an adaptive inference system in fuzzy rule-based classification sytems for imbalanced data-sets. Expert Systems with Applications, 36, 9805-9812. https://doi.org/10.1016/j.eswa.2009.02.048
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)
2008
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets. Fuzzy Sets and Systems, 159, 2378-2398. https://doi.org/10.1016/j.fss.2007.12.023