References

1. L. Breiman, Bagging predictors, Mach Learn, vol. 24, no. 2, pp. 123–140, Aug. 1996, doi: 10.1007/BF00058655, https://link.springer.com/content/pdf/10.1007/BF00058655.pdf.
2. (The paper that introduced OverBagging, UnderBagging, and SMOTEBagging) S. Wang and X. Yao, Diversity analysis on imbalanced data sets by using ensemble models, in 2009 IEEE Symposium on Computational Intelligence and Data Mining, Nashville, TN, USA: IEEE, Mar. 2009, pp. 324–331. doi: 10.1109/CIDM.2009.4938667, https://www.cs.bham.ac.uk/~wangsu/documents/papers/CIDMShuo.pdf.
3. Live Site Incident escalation forecast (2023), https://medium.com/data-science-at-microsoft/live-site-incident-escalation-forecast-566763a2178
4. L. Breiman, Random Forests, Machine Learning, vol. 45, no. 1, pp. 5–32, 2001, doi: 10.1023/A:1010933404324, https://link.springer.com/content/pdf/10.1023/A:1010933404324.pdf.
5. (The paper that introduced the RUSBoost algorithm) C. Seiffert, T. M. Khoshgoftaar...