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/https://doi.org/10.1016/j.inffus.2025.103247
time series forecasting
Rivera, A., Muñoz, C., Pérez-Goody, M., de San Pedro, S., Charte Ojeda, F., Elizondo, D., … del Jesus, M. (2023). XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artificial Intelligence in Medicine, 137, 102494. https://doi.org/https://doi.org/10.1016/j.artmed.2023.102494
Martínez, F., Frías Bustamante, M. del P., Pérez Godoy, M. D., & Rivera Rivas, A. J. (2018). Dealing with seasonality by narrowing the training set in time series forecasting with kNN. Expert Systems With Applications, 103, 38-48. https://doi.org/10.1016/j.eswa.2018.03.005
Martínez, F., Charte Ojeda, F., Rivera Rivas, A. J., & Frías Bustamante, M. del P. (2019). Automatic Time Series Forecasting with GRNN: A Comparison with Other Models. 198-209. https://doi.org/10.1007/978-3-030-20521-8_17 (Original work published 2019)
Charte Ojeda, F., Vico, A., Pérez Godoy, M. D., & Rivera Rivas, A. J. (2019). predtoolsTS: R package for streamlining time series forecasting. Progress in Artificial Intelligence, 8, 505-510. https://doi.org/10.1007/s13748-019-00193-z (Original work published 2019)
Pérez, P., Frías, M. P., Pérez Godoy, M. D., Rivera Rivas, A. J., Jesus, M. J. d., Parras, M., & Torres, F. J. (2008). An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market. 943-946. https://doi.org/10.1109/HIS.2008.132 (Original work published 2026)