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)
Francisco Herrera Triguero
First name
Francisco
Last name
Herrera Triguero
2016
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
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)
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)
2015
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
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