Carmona, C. J., del Jesus Díaz, M. J., Guerrero, P., Peña-Santiago, R., & Rivas, V. M. (2008). Applied Techniques of Engineering to Non-Structured Data Model. 50, 410-414. Salamanca (Spain). https://doi.org/10.1007/978-3-540-85863-8_48
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2008
Parras Gutiérrez, E., Rivas, V. M., & del Jesus Díaz, M. J. (2008). Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm. 140-147. Springer. (Original work published 2026)
González García, P., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). Influencia de la granularidad y de las medidas de calidad en SDIGA. Presentado en. Langreo-Mieres (Spain). (Original work published 2026)
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)
Fernández Hilario, A. L., García López, S., del Jesus Díaz, M. J., & Herrera Triguero, F. (2008). A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets. Fuzzy Sets and Systems, 159, 2378-2398. https://doi.org/10.1016/j.fss.2007.12.023
del Jesus Díaz, M. J. (2008). Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos. Presentado en. Cuencas Mineras Asturianas (España). (Original work published)
Parras Gutiérrez, E., Rivas, V. M., del Jesus Díaz, M. J., & Merelo, J. J. (2008). A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design. International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), 50/2009, 663-671.
2007
Rivera Rivas, A. J., Rojas, I., Ortega, J., & del Jesus Díaz, M. J. (2007). A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Computing, 11, 655-668. https://doi.org/10.1007/s00500-006-0128-9 (Original work published 2026)