Author:
Karthikeyan S.,Kathirvalavakumar T.,Prasath Rajendra
Publisher
Springer Nature Switzerland
Reference17 articles.
1. Fernández, A., García, S., Galar, M., Prati, R.C., Krawczyk, B., Herrera, F.: Learning from imbalanced data sets. Vol. 10. Springer, Cham (2018)
2. Mahalanobis, P.C.: On the generalized distances in statistics: Mahalanobis distance. Journal Soc. Bengal 26, 541–588 (1936)
3. Ghorbani, H.: Mahalanobis distance and its application for detecting multivariate outliers, pp. 583–595. FactaUniversitatis, Series, Mathematics and Informatics (2019)
4. Buda, M., Maki, A., Mazurowski, M.A.: A systematic study of the class imbalance problem in convolutional neural networks. Neural Netw. 106, 249–259 (2018)
5. Abdi, L., Hashemi, S.: To combat multi-class imbalanced problems by means of over-sampling techniques. IEEE trans. Knowl. Data Eng. 28(1), 238–251 (2015)
Cited by
1 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