Charte Ojeda, F. ., & García, L. . (2019). El pasado de la computación personal. Historia de la microinformática (2a Edición). Editorial Universidad de Jaén.
Francisco Charte Ojeda
First name
Francisco
Last name
Charte Ojeda
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)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2019). REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing, 326, 110-122. https://doi.org/10.1016/j.neucom.2017.01.118
Charte, D. ", Herrera Triguero, F. ., & Charte Ojeda, F. . (2019). Ruta: implementations of neural autoencoders in R. Knowledge-Based Systems, 174, 4-8. https://doi.org/- (Original work published 2019)
Cordon, I. ., Luengo, J. ., García López, S. ., Herrera Triguero, F. ., & Charte Ojeda, F. . (2019). Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing, 360, 1-13. https://doi.org/10.1016/j.neucom.2019.06.006 (Original work published 2019)
Viedma, D. T., Rivera Rivas, A. J. ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2019). A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. 270-280. https://doi.org/10.1007/978-3-030-20521-8_23 (Original work published 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)
Charte, D. ", Charte Ojeda, F. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2019). A Showcase of the Use of Autoencoders in Feature Learning Applications. 412-421. https://doi.org/10.1007/978-3-030-19651-6_40 (Original work published 2019)
Charte, D. ", Charte Ojeda, F. ., García López, S. ., & Herrera Triguero, F. . (2019). A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Progress in Artificial Intelligence, 8, 1-14. https://doi.org/10.1007/s13748-018-00167-7 (Original work published)
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)