Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera. On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. In Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Volume 9648 of Lecture Notes in Computer Science, pages 500-511, Springer, 2016. [doi]
@inproceedings{CharteRJH16,
title = {On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance},
author = {Francisco Charte and Antonio J. Rivera and María José del Jesús and Francisco Herrera},
year = {2016},
doi = {10.1007/978-3-319-32034-2_42},
url = {http://dx.doi.org/10.1007/978-3-319-32034-2_42},
researchr = {https://researchr.org/publication/CharteRJH16},
cites = {0},
citedby = {0},
pages = {500-511},
booktitle = {Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings},
editor = {Francisco Martínez-Álvarez and Alicia Troncoso and Héctor Quintián and Emilio Corchado},
volume = {9648},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-32033-5},
}