Palacios, A. M., Sánchez, L., & Couso, I. (2011). Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results. 1263-1270. https://doi.org/10.1109/FUZZY.2011.6007647 (Original work published 2026)
Training
Pérez Godoy, M. D., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Martínez, F. (2013). A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. 1-8. https://doi.org/10.1109/IJCNN.2013.6706973 (Original work published 2026)
Pérez, P., Frías, M. P., Pérez Godoy, M. D., Rivera Rivas, A. J., Jesus, M. J. d., Parras, M., & Torres, F. J. (2008). An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. 943-946. https://doi.org/10.1109/HIS.2008.132 (Original work published 2026)
Palacios, A. M., Sánchez, L., & Couso, I. (2010). Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers. 1-8. https://doi.org/10.1109/FUZZY.2010.5584797 (Original work published 2026)
Cordón García, Ó., Quirin, A., & Sánchez, L. (2008). On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles. 549-554. https://doi.org/10.1109/HIS.2008.147 (Original work published 2026)