Francisco Charte Ojeda

First name
Francisco
Last name
Charte Ojeda

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)
View
García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2016). Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package. The R Journal, 8, 307-323.
View
Charte, D. ", Charte Ojeda, F. ., & Herrera Triguero, F. . (2016). Análisis visual de técnicas no supervisadas de deep learning con el paquete dlvisR. 895-904. Salamanca (Spain). (Original work published)
View
Martínez, F. ., Pérez Godoy, M. D. . ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2016). Combining simple exponential smoothing models for time series forecasting. 635-644. Granada (Spain). (Original work published)
View
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.
View
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)
View
Herrera Triguero, F. ., Charte Ojeda, F. ., Rivera Rivas, A. J. ., & del Jesus Díaz, M. J. . (2016). Multilabel Classification: Problem Analysis, Metrics and Techniques. Springer. https://doi.org/10.1007/978-3-319-41111-8
View
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2016). On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. 500-511. Seville (Spain). https://doi.org/10.1007/978-3-319-32034-2_42 (Original work published)
View

2015

Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing, 163, 3-16. https://doi.org/10.1016/j.neucom.2014.08.091
View
Rivera Rivas, A. J. ., Pérez Godoy, M. D. . ., Charte Ojeda, F. ., Pulgar Rubio, F. J. . ., & del Jesus Díaz, M. J. . (2015). An ensemble strategy for forecasting the extra-virgin olive oil price in Spain. 506-516. Granada (Spain). (Original work published)
View
Loading...