Andrés Felipe Giraldo-Forero, Andrés Felipe Cardona-Escobar, Andrés Eduardo Castro-Ospina. Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance. In Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José Antonio Sáez, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Volume 10870 of Lecture Notes in Computer Science, pages 327-337, Springer, 2018. [doi]
@inproceedings{Giraldo-ForeroC18,
title = {Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance},
author = {Andrés Felipe Giraldo-Forero and Andrés Felipe Cardona-Escobar and Andrés Eduardo Castro-Ospina},
year = {2018},
doi = {10.1007/978-3-319-92639-1_27},
url = {https://doi.org/10.1007/978-3-319-92639-1_27},
researchr = {https://researchr.org/publication/Giraldo-ForeroC18},
cites = {0},
citedby = {0},
pages = {327-337},
booktitle = {Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings},
editor = {Francisco Javier de Cos Juez and José Ramón Villar and Enrique A. de la Cal and Álvaro Herrero and Héctor Quintián and José Antonio Sáez and Emilio Corchado},
volume = {10870},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-92639-1},
}