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 2025)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2009
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.
Parras Gutiérrez, E. . ., Rivas, V. M., & del Jesus Díaz, M. J. . (2009). E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting. 1445-1449. Pisa (Italy). (Original work published 2025)
Romero, C. ., González García, P. ., Ventura, S. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2009). Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems With Applications, 36, 1632-1644.
del Jesus Díaz, M. J. ., Gámez, J. ., & Puerta, J. . (2009). Evolutionary and metaheuristics based data mining. Soft Computing: A Fusion of Methodologies and Applications, 13, 209-212. https://doi.org/10.1007/s00500-008-0373-1
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.
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).
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