Carmona, C. J., González García, P., del Jesus Díaz, M. J., & Herrera Triguero, F. (2009). Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. 5572, 573-580. Salamanca (Spain): Springer. (Original work published 2026)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2009
Pérez Godoy, M. D., Rivas, A. R., Berlanga, F., & del Jesus Díaz, M. J. (2009). CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems. Soft Computing, 14, 953-971. https://doi.org/10.1007/s00500-009-0488-z (Original work published)
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
Parras Gutiérrez, E., Rivas, V. M., del Jesus Díaz, M. J., & Merelo, J. J. (2009). Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification. 37-40. Salamanca (Spain): LNCS 5518. (Original work published 2026)
Arenas, M., Parras Gutiérrez, E., Rivas, V. M., Castillo, P., del Jesus Díaz, M. J., & Merelo, J. J. (2009). Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms. 383-390. Salamanca (Spain): LNCS 5517. (Original work published 2026)
López, P., Rivera Rivas, A. J., Pérez Godoy, M. D., del Jesus Díaz, M. J., & Carmona, C. J. (2009). EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design. 752-759. Lecture Notes in Computer Science 5517.
Parras Gutiérrez, E., Rivas, V. M., del Jesus Díaz, M. J., & Merelo, J. J. (2009). Study of the robustness of a meta-algorithm for the estimation of parameters in Radial Basis Function Neural Networks design. Neural Network World, 19, 81-94.
2008
Alcala-Fdez, J., García López, S., Berlanga, F., Fernández Hilario, A. L., Sánchez, L., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems. 83-88. WittenBommerholz (Germany).
Berlanga, F., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems. 101-106. WittenBommerholz (Germany).
Parras Gutiérrez, E., Rivas, V. M., del Jesus Díaz, M. J., & Merelo, J. J. (2008). Parameter Estimation for Radial Basis Function Neural Network Design by Means of Two Symbiotic Algorithms. 164-169. Valencia (Spain): IEEE Computer Society. (Original work published 2026)