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
Nombre
Antonio Jesús
Apellidos
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
Rivera Rivas, A. J., Pérez Godoy, M. D., Elizondo, D., Deka, L., & del Jesus Díaz, M. J. (2020). A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. 276-285. https://doi.org/10.1007/978-3-030-57802-2_27 (Original work published 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