Cabrera-Bermejo, M. I., Germán Morales, M., de la Rosa de la Rosa, D., del Jesus Díaz, M. J., Rivera Rivas, A. J., Elizondo, D., … Pérez Godoy, M. D. (2026). A didactic overview of Transformer applications: model variations and user guidelines. Logic Journal of the IGPL, 34, jzaf040. https://doi.org/10.1093/jigpal/jzaf040 (Original work published 1970)
Antonio Jesús Rivera Rivas
First name
Antonio Jesús
Last name
Rivera Rivas
2026
2025
Germán Morales, M., Rivera Rivas, A. J., del Jesus Díaz, M. J., & Carmona, C. J. (2025). Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations. Information Fusion, 123, 103247. https://doi.org/10.1016/j.inffus.2025.103247
2024
Germán Morales, M., Rivera Rivas, A. J., Charte Ojeda, F., De La Casa-Higueras, J., Tejero, J. A., & del Jesus Díaz, M. J. (2024). Modelado de módulos fotovoltaicos bifaciales mediante técnicas de aprendizaje automático.
Mudarra Machuca, A., Valdivia, D., Ducange, P., Germán Morales, M., Rivera Rivas, A. J., & Pérez Godoy, M. D. (2024). Nets4Learning: A Web Platform for Designing and Testing ANN/DNN Models. Electronics, 13. https://doi.org/10.3390/electronics13224378
2023
Rivera Rivas, A. J., Dávila Romero, M. Á., Elizondo, D. A., del Jesus Díaz, M. J., & Charte Ojeda, F. (2023). mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing, 559, 126806. https://doi.org/10.1016/j.neucom.2023.126806
2022
Martínez del Rio, F., Frías, M., Pérez Godoy, M. D., & Rivera Rivas, A. J. (2022). Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series. IEEE Access, 10, 3275-3283. https://doi.org/10.1109/ACCESS.2022.3140377
2021
Pulgar Rubio, F. J., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2021). ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. Information Sciences, 565, 146-176. https://doi.org/10.1016/j.ins.2021.02.060
2020
Pulgar Rubio, F. J., Charte Ojeda, F., Rivera Rivas, A. J., & del Jesus Díaz, M. J. (2020). Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. Information Fusion, 54, 44-60. https://doi.org/10.1016/j.inffus.2019.07.004 (Original work published 2020)
Charte Ojeda, F., Rivera Rivas, A. J., Medina, J., & Espinilla, M. (2020). El ecosistema de aprendizaje del estudiante universitario en la post-pandemia. Metodologías y herramientas. Enseñanza Y Aprendizaje de Ingeniería de Computadores. https://doi.org/10.30827/Digibug.64779
Charte Ojeda, F., Rivera Rivas, A. J., Martínez, F., & del Jesus Díaz, M. J. (2020). EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. Integrated Computer-Aided Engineering, 27, 211-231. https://doi.org/10.3233/ICA-200619 (Original work published 2020)