Fernández Hilario, A. L., Carmona, C. J., del Jesus Díaz, M. J., & Herrera Triguero, F. (2016). A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9, 69-80.
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2016
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)
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)
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
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
Fernández, A., del Jesus Díaz, M. J., & Herrera Triguero, F. (2015). Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection (K. Jackowski, R. Burduk, K. Walkowiak, M. Woźniak, & H. Yin, Eds.). Cham: Springer International Publishing.
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)
Fernández, A., López, V., del Jesus Díaz, M. J., & Herrera Triguero, F. (2015). Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowledge-Based Systems, 80, 109-121. https://doi.org/10.1016/j.knosys.2015.01.013