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)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2010
Pérez Godoy, M. D., Fernández, A., Rivas, A. R., & del Jesus Díaz, M. J. (2010). Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets. Pattern Recognition Letters, 31, 2375-2388. https://doi.org/10.1016/j.patrec.2010.07.010 (Original work published)
Pérez Godoy, M. D., Pérez, P., Rivera Rivas, A. J., del Jesus Díaz, M. J., Carmona, C. J., Frías, M., & Parras, M. (2010). CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market. International Journal of Hybrid Intelligent Systems, 75-87. https://doi.org/10.3233/HIS-2010-0106
Carmona, C. J., González García, P., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery. IEEE Transactions on Fuzzy Systems, 18, 958-970. https://doi.org/10.1109/TFUZZ.2010.2060200
Castro, E., Cara, C., del Jesus Díaz, M. J., & Rivas, V. M. (2010). Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw. Journal of Biotechnology, 150, 137. https://doi.org/10.1016/j.patrec.2010.07.010
Fernández Hilario, A. L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences, 180, 1268-1291. https://doi.org/10.1016/j.ins.2009.12.014
Carmona, C. J., González García, P., del Jesus Díaz, M. J., Romero, C., & Ventura, S. (2010). Evolutionary algorithms for subgroup discovery applied to e-learning data. 983-990. Madrid (Spain). (Original work published 2026)
Berlanga, F., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2010). GP-COACH: Genetic Programming-based learning of Compact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Information Sciences, 180, 1183-1200. https://doi.org/10.1016/j.ins.2009.12.020
2009
Parras Gutiérrez, E., del Jesus Díaz, M. J., Merelo, J. J., & Rivas, V. M. (2009). A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design (J. M. Corchado, S. Rodríguez, J. Llinas, & J. M. Molina, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
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