1. Branco, P.: Re-sampling approaches for regression tasks under imbalanced domains. Master’s thesis, Department of Computer Science, Faculty of Sciences - University of Porto (2014)
2. Branco, P., Ribeiro, R.P., Torgo, L.: UBL: an R package for utility-based learning. arXiv preprint
arXiv:1604.08079
(2016)
3. Branco, P., Torgo, L., Ribeiro, R.P.: A survey of predictive modeling on imbalanced domains. ACM Comput. Surv. (CSUR) 49(2), 31 (2016)
4. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. JAIR 16, 321–357 (2002)
5. Dimitriadou, E., Hornik, K., Leisch, F., Meyer, D., Weingessel, A.: e1071: Misc Functions of the Department of Statistics (e1071), TU Wien (2011)