Author:
Yang Xingwei,Bai Xiang,Köknar-Tezel Suzan,Latecki Longin Jan
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability
Reference58 articles.
1. Chawla, N.V., Bowyer, K.W., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002)
2. Chawla, N.V., Lazarevic, A., Hall, L.O., Bowyer, K.W.: Smoteboost: improving prediction of the minority class in boosting. In: Proceedings of the Principles of Knowledge Discovery in Databases, PKDD-2003, pp. 107–119 (2003)
3. Akbani, R., Kwek, S., Japkowicz, N.: Applying support vector machines to imbalanced datasets. In: ECML, pp. 39–50 (2004)
4. Han, H., Wang, W., Mao, B.: Borderline-smote: a new over-sampling method in imbalanced data sets learning. In: Lecture Notes in Computer, vol. 3644, pp. 878–887. Springer, Berlin (2005)
5. Dyn, N., Lipovetski, E.: An efficient algorithm for the computation of the metric average of two intersecting convex polygons with application to morphing. Adv. Comput. Math. 26, 269–282 (2007)
Cited by
9 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