Pérez Godoy, M. D. . ., Rivera Rivas, A. J. ., Charte Ojeda, F. ., & del Jesus Díaz, M. J. . (2015). CO2RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design. 361-373. Palma de Mallorca (Spain). https://doi.org/10.1007/978-3-319-19258-1_31 (Original work published)
Francisco Charte Ojeda
First name
Francisco
Last name
Charte Ojeda
2015
Charte Ojeda, F. . (2015). Nuevos métodos de computación flexible para clasificación multietiqueta (Universidad de Jaén; p. 275). Universidad de Jaén, Jaén. Retrieved from https://fcharte.com/assets/pdfs/PhdThesis-CharteFco.pdf
Bibliography media
Notes
Tesis doctoral en el Programa Oficial de Doctorado en Tecnologías de la Información y la Comunicación
Charte, D. ", & Charte Ojeda, F. . (2015). mldr: Paquete R para Exploración de Datos Multietiqueta. 695-704. Albacete (Spain). (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowledge-Based Systems, 89, 385-397. https://doi.org/10.1016/j.knosys.2015.07.019
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. 1-6. Salamanca (Spain). https://doi.org/10.1109/EUROCON.2015.7313677 (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2015). Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. 489-501. Bilbao (Spain). https://doi.org/10.1007/978-3-319-19644-2_41 (Original work published)
García-Vico, Ángel M. ., Charte Ojeda, F. ., González García, P. ., Carmona, C. J. ., & del Jesus Díaz, M. J. . (2015). Usando Algoritmos de Descubrimiento de Subgrupos en R: El Paquete SDR. 739-748.
Charte Ojeda, F. ., & Charte, D. ". (2015). Working with Multilabel Datasets in R: The mldr Package. The R Journal, 7, 149-162. https://doi.org/10.32614/RJ-2015-027
2014
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. 110-121. Salamanca (Spain). https://doi.org/10.1007/978-3-319-07617-1_10 (Original work published)
Charte Ojeda, F. ., Rivera Rivas, A. J. ., del Jesus Díaz, M. J. ., & Herrera Triguero, F. . (2014). LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Transactions on Neural Networks and Learning Systems, 25, 1842-1854. https://doi.org/10.1109/TNNLS.2013.2296501