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.
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2009
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
Rivera Rivas, A. J. ., Carmona, C. J. ., Pérez Godoy, M. D. . ., & del Jesus Díaz, M. J. . (2009). Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior. 15-21.