Author:
Tahir Muhammad Atif,Kittler Josef,Yan Fei
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference48 articles.
1. M. Kubat, S. Matwin, Addressing the course of imbalanced training sets: one-sided selection, in: Proceedings of International Conference of Machine Learning, 1997, pp. 179–186.
2. Synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Review,2002
3. The class imbalance problem: a systematic study;Japkowicz;Intelligent Data Analysis,2002
4. A study of the behavior of several methods for balancing machine learning training data;Batista;SIGKDD Explorations,2004
5. C.P. de Souto Marcilio, V.G. Bittencourt, A.F.C. Jose, An empirical analysis of under-sampling techniques to balance a protein structural class dataset, Neural Information Processing, Lecture Notes in Computer Science (2006) 21–29.
Cited by
230 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献