1. Abe, N., & Mamitsuka, H. (1998). Query learning strategies using boosting and bagging. In Proceedings of the fifteenth international conference on machine learning (pp. 1–9).
2. Abe, N., Zadrozny, B., & Langford, J. (2006). Outlier detection by active learning. In Proceedings of the 12th international conference on knowledge discovery and data mining (pp. 504–509). New York: ACM.
3. Barnett, V., & Lewis, T. (1978). Outliers in statistical data (2nd ed.). New York: Wiley.
4. Batista, G. E. A. P. A., Prati, R. C., & Monard, M. C. (2004). A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explorations Newsletter, 6(1), 20–29.
5. Bennett, P. N. (2000). Assessing the calibration of naive Bayes’ posterior estimates (Tech. Rep. CMU-CS-00-155). Carnegie Mellon University.