Alberto Fernández, María José del Jesús, Francisco Herrera. Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. In Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan M. Corchado, editors, Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I. Volume 5517 of Lecture Notes in Computer Science, pages 294-301, Springer, 2009. [doi]
@inproceedings{FernandezJH09:0,
title = {Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System},
author = {Alberto Fernández and María José del Jesús and Francisco Herrera},
year = {2009},
doi = {10.1007/978-3-642-02478-8_37},
url = {http://dx.doi.org/10.1007/978-3-642-02478-8_37},
tags = {rule-based, classification, rules},
researchr = {https://researchr.org/publication/FernandezJH09%3A0},
cites = {0},
citedby = {0},
pages = {294-301},
booktitle = {Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I},
editor = {Joan Cabestany and Francisco Sandoval and Alberto Prieto and Juan M. Corchado},
volume = {5517},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-02477-1},
}