1. Weka manual for version 3-9-1;bouckaert,2016
2. Classification of imbalance data using tomek link (t-link) combined with random under-sampling (rus) as a data reduction method;elhassan,2016
3. A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction
4. Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning;lemaître;The Journal of Machine Learning Research,2017
5. knn approach to unbalanced data distributions: a case study involving information extraction;mani;Proceedings of Workshop on Learning from Imbalanced Datasets,2003