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)
Antonio Jesús Rivera Rivas
First name
Antonio Jesús
Last name
Rivera Rivas
2017
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)
Rivera Rivas, A. J. ., Charte Ojeda, F. ., Pulgar Rubio, F. J. . ., & del Jesus Díaz, M. J. . (2017). A Transformation Approach Towards Big Data Multilabel Decision Trees. 73-84. Cádiz (Spain). https://doi.org/10.1007/978-3-319-59153-7_7 (Original work published)
Charte Ojeda, F. ., Romero, I. ., Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., & Castro, E. . (2017). Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass. Computers \& Chemical Engineering, 101, 23-30. https://doi.org/10.1016/j.compchemeng.2017.02.008
2016
Charte Ojeda, F. ., Charte, D. ", Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2016). R Ultimate Multilabel Dataset Repository. 487-499. Seville (Spain). https://doi.org/10.1007/978-3-319-32034-2_41 (Original work published)
Espinilla, M. ., Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., Medina, J. ., Martínez, L. ., & Nugent, C. . (2016). Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity (C. R. García, P. . Caballero-Gil, M. . Burmester, & A. . Quesada-Arencibia, Eds.). Cham: Springer International Publishing.
Carmona, C. J. ., Pulgar Rubio, F. J. . ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & García, J. J. . A. (2016). Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach. 273-282. Sevilla (Spain): Springer. (Original work published 2025)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., Pulgar Rubio, F. J. . ., & del Jesus Díaz, M. J. . (2016). Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU. Enseñanza Y Aprendizaje De ingeniería De Computadores. Revista De Experiencias Docentes En ingeniería De Computadores, 6, 19-33.
Espinilla, M. ., Santamaría, J. ., & Rivera Rivas, A. J. . (2016). Gamificación en procesos de autoentrenamiento y autoevaluación. Experiencia en la asignatura de Arquitectura de Computadores. 6, 55-65.
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2016). MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. XVII Conferencia De La Asociación Española Para La Inteligencia Artificial (CAEPIA 2016), 821-822. Salamanca (Spain). (Original work published)