1. Ayer, M., Brunk, H., Ewing, G., Reid, W., & Silverman, E. (1955). An empirical distribution function for sampling with incomplete information. Annals of Mathematical Statistics, 5(26), 641–647.
2. Brier, G. W. (1950). Verification of forecasts expressed in terms of probabilities. Monthly Weather Review, 78, 1–3.
3. Caruana, R., & Niculescu-Mizil, A. (2006). An empirical comparison of supervised learning algorithms. In W. Cohen & A. Moore (Eds.), Proceedings of the twenty-third international conference on machine learning (ICML’06) (pp. 161–168). New York: ACM.
4. Flach, P. A., & Wu, S. (2005). Repairing concavities in ROC curves. In L.P. Kaelbling & A. Saffiotti (Eds.), Proceedings of the nineteenth international joint conference on artificial intelligence (IJCAI’05) (pp. 702–707). Berlin: Springer.
5. Niculescu-Mizil, A., & Caruana, R. (2005). Predicting good probabilities with supervised learning. In L.D. Raedt & S. Wrobel (Eds.), Proceedings of the twenty-second international conference on machine learning (ICML’05) (pp. 625–632). New York: ACM.