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Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification., и . ECML/PKDD (2), том 11907 из Lecture Notes in Computer Science, стр. 103-120. Springer, (2019)Versatile Decision Trees for Learning Over Multiple Contexts., , , и . ECML/PKDD (1), том 9284 из Lecture Notes in Computer Science, стр. 184-199. Springer, (2015)Declaratively Capturing Local Label Correlations with Multi-Label Trees., , и . ECAI, том 285 из Frontiers in Artificial Intelligence and Applications, стр. 1467-1475. IOS Press, (2016)Shift Happens: Adjusting Classifiers., , и . ECML/PKDD (2), том 11907 из Lecture Notes in Computer Science, стр. 55-70. Springer, (2019)Rate-Oriented Point-Wise Confidence Bounds for ROC Curves., , и . ECML/PKDD (2), том 8725 из Lecture Notes in Computer Science, стр. 404-421. Springer, (2014)Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy., и . ECML/PKDD (2), том 8725 из Lecture Notes in Computer Science, стр. 18-33. Springer, (2014)Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration., , , , , и . NeurIPS, стр. 12295-12305. (2019)Precision-Recall-Gain Curves: PR Analysis Done Right., и . NIPS, стр. 838-846. (2015)Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration., и . Trans. Mach. Learn. Res., (2023)Correlated daily time series and forecasting in the M4 competition., , , , , и . CoRR, (2020)