Sáez-Castillo, A. J., Conde-Sánchez, A. ., & Martínez, F. . (2022). DGLMExtPois: Advances in Dealing with Over and Under-dispersion in a Double GLM Framework. The R Journal, 14, 121-140. https://doi.org/10.32614/RJ-2023-002
Francisco Martínez
First name
Francisco
Last name
Martínez
2022
Martínez, F. ., Charte Ojeda, F. ., Frías Bustamante, M. del P. ., & Martínez-Rodríguez, A. M. (2022). Strategies for time series forecasting with generalized regression neural networks. Neurocomputing, 491, 509-521. https://doi.org/10.1016/j.neucom.2021.12.028
2020
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)
2019
Martínez, F. ., Frías Bustamante, M. del P. ., Charte Ojeda, F. ., & Rivera Rivas, A. J. . (2019). Time Series Forecasting with KNN in R: the tsfknn Package. The R Journal, 11, 229-242. https://doi.org/10.32614/RJ-2019-004 (Original work published 2019)
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. ., Rivera Rivas, A. J. ., Martínez, F. ., & del Jesus Díaz, M. J. . (2019). Automating Autoencoder Architecture Configuration: An Evolutionary Approach. 339-349. https://doi.org/10.1007/978-3-030-19591-5_35 (Original work published 2019)
2018
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
2017
Martínez, F. ., Frías Bustamante, M. del P. ., Pérez Godoy, M. D. . ., & Rivera Rivas, A. J. . (2017). A methodology for applying k-nearest neighbor to time series forecasting. Artificial Intelligence Review. https://doi.org/10.1007/s10462-017-9593-z (Original work published 2025)
Martínez, F. ., Frías, M. ., Charte Ojeda, F. ., & Rivera Rivas, A. J. . (2017). A specialized lazy learner for time series forecasting. 1397-1403. Costa Ballena, Rota, Cáadiz (Spain). (Original work published)
Frías, M. ., Ivanov, A. ., Leonenko, N. ., Martínez, F. ., & Ruiz-Medina, M. D. (2017). Detecting hidden periodicities for models with cyclical errors. Statistics and Its Interface, 10, 107-118. https://doi.org/10.4310/SII.2017.v10.n1.a10 (Original work published)