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 2026)
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 2026)
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)