Rivas, A. R., García-Domingo, B. ., del Jesus Díaz, M. J. ., & García, J. J. . A. (2013). Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks. Expert Systems With Applications, 40, 1599-1608. https://doi.org/10.1016/j.eswa.2012.09.016 (Original work published)
Maria José del Jesus Díaz
First name
Maria José
Last name
del Jesus Díaz
2013
Carmona, C. J. ., Chrysostomou, C. ., Seker, H. ., & del Jesus Díaz, M. J. . (2013). Fuzzy Rules for Describing Subgroups from Influenza A Virus Using a Multi-objective Evolutionary Algorithm. Applied Soft Computing, 13, 3439-3448. https://doi.org/10.1016/j.asoc.2013.04.011
Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Martínez, F. . (2013). A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. 1-8. https://doi.org/10.1109/IJCNN.2013.6706973 (Original work published 2025)
Carmona, C. J. ., González García, P. ., García-Domingo, B. ., del Jesus Díaz, M. J. ., & García, J. J. . A. (2013). MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology. Knowledge-Based Systems, 54, 73-85. https://doi.org/10.1016/j.knosys.2013.08.001
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2013). A First Approach to Deal with Imbalance in Multi-label Datasets. 150-160. Salamanca (Spain). https://doi.org/10.1007/978-3-642-40846-5_16 (Original work published)
Carmona, C. J. ., González García, P. ., & del Jesus Díaz, M. J. . (2013). Un sistema difuso evolutivo para la detección de excepciones en descubrimiento de subgrupos. 1220-1229. Madrid (Spain). (Original work published 2025)
López, V. ., Fernández, A. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2013). A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowledge-Based Systems, 38, 85-104. https://doi.org/10.1016/j.knosys.2012.08.025
Rivera Rivas, A. J. ., García-Domingo, B. ., del Jesus Díaz, M. J. ., & García, J. J. . A. (2013). A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN (V. . Snášel, A. . Abraham, & E. S. Corchado, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
Charte Ojeda, F. ., Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., & del Jesus Díaz, M. J. . (2013). Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks. 331-338. Tenerife (Spain). https://doi.org/10.1007/978-3-642-38679-4_32
Carmona, C. J. ., González García, P. ., García-Domingo, B. ., del Jesus Díaz, M. J. ., & García, J. J. . A. (2013). An evolutionary fuzzy system for the detection of exceptions in subgroup discovery. 74-79. Edmonton (Canada). (Original work published 2025)