Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2014). Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Applied Soft Computing, 25, 26-39. https://doi.org/10.1016/j.asoc.2014.09.011
Antonio Jesús Rivera Rivas
First name
Antonio Jesús
Last name
Rivera Rivas
2014
del Jesus Díaz, M. J. ., Martínez, F. ., Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., & Frías Bustamante, M. del P. . (2014). An ensemble method for time series forecasting with simple exponential smoothing. Presented at the. Rota, Cádiz (Spain). (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. 110-121. Salamanca (Spain). https://doi.org/10.1007/978-3-319-07617-1_10 (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Transactions on Neural Networks and Learning Systems, 25, 1842-1854. https://doi.org/10.1109/TNNLS.2013.2296501
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). MLeNN: A First Approach to Heuristic Multilabel Undersampling. 1-9. Salamanca (Spain). https://doi.org/10.1007/978-3-319-10840-7_1 (Original work published)
Rivera Rivas, A. J. ., Espinilla, M. ., Fernández Hilario, A. L. . ., López, J. S., & Charte Ojeda, F. . (2014). Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información. Enseñanza Y Aprendizaje De ingeniería De Computadores. Revista De Experiencias Docentes En ingeniería De Computadores, 4, 15-24.
2013
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
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)
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)