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)
Antonio Jesús Rivera Rivas
First name
Antonio Jesús
Last name
Rivera Rivas
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)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2019). Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing, 326, 39-53. https://doi.org/10.1016/j.neucom.2016.08.158
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
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)
2018
Trujillo, D. ., Rivera Rivas, A. J. ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2018). An Approximation to Deep Learning Touristic-Related Time Series Forecasting. 448-456. Madrid (Spain). https://doi.org/10.1007/978-3-030-03493-1_47 (Original work published)
Pulgar Rubio, F. J. . ., Rivera Rivas, A. J. ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2018). Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales. 1213-1218. Granada (Spain). (Original work published)
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
Rivera Rivas, A. J. ., Charte Ojeda, F. ., Espinilla, M. ., & Pérez Godoy, M. D. . . (2018). Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo. Enseñanza Y Aprendizaje De ingeniería De Computadores. Revista De Experiencias Docentes En ingeniería De Computadores, 8, 67-83.