1. Adams, N. M., & Hand, D. J. (1999). Comparing classifiers when misclassification costs are uncertain. Pattern Recognition, 32, 1139–1147.
2. Agarwal, S., Har-Peled, S., & Roth, D. (2005). A uniform convergence bound for the area under the ROC curve. In: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (pp. 1–8).
3. Bengio, S., & Mariéthoz, J. (2004). The expected performance curve: a new assessment measure for person authentication. In: Proceedings of Odyssey 2004: The Speaker and Language Recognition Workshop (pp. 9–16).
4. Bengio, S., Marithoz, J., & Keller, M. (2005). The expected performance curve. In: Proceedings of the Second Workshop on ROC Analysis in ML (pp. 9–16).
5. Bradford, J., Kunz, C., Kohavi, R., Brunk, C., & Brodley, C. E. (1998). Pruning decision trees with misclassification costs. In: Proceedings of the Tenth European Conference on Machine Learning (pp. 131–136).