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Measuring Uncertainty in Orthopairs.

, and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 423-432. Springer, (2017)

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Re-calibrating Machine Learning Models Using Confidence Interval Bounds., , and . MDAI, volume 13408 of Lecture Notes in Computer Science, page 132-142. Springer, (2022)Measuring Uncertainty in Orthopairs., and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 423-432. Springer, (2017)Learnability in "Learning from Fuzzy Labels".. FUZZ-IEEE, page 1-6. IEEE, (2021)Ground truthing from multi-rater labeling with three-way decision and possibility theory., , , , and . Inf. Sci., (2021)The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies., and . Int. J. Medical Informatics, (2021)Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine., , , and . CoRR, (2022)Interpretable heartbeat classification using local model-agnostic explanations on ECGs., , , , , , , and . Comput. Biol. Medicine, (2021)Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading., , and . Health Inf. Sci. Syst., 9 (1): 8 (2021)Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition., , , , , , and . Sensors, 22 (19): 7324 (2022)Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram., , , , , , and . Inf. Fusion, (January 2024)