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Direct Uncertainty Prediction for Medical Second Opinions.

, , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5281-5290. PMLR, (2019)

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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV), , , , , , and . Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 2668-2677. PMLR, (2018)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). J. Mach. Learn. Res., (2022)Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts., , , , , and . WWW, page 953-964. International World Wide Web Conferences Steering Committee / ACM, (2013)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). CoRR, (2020)A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models., , , , , , , , , and 20 other author(s). CoRR, (2024)Direct Uncertainty Prediction for Medical Second Opinions, , , , , , and . (2018)Identifying Distributed Object Representations in Human Extrastriate Visual Cortex., , and . NIPS, page 1169-1176. (2005)High-resolution imaging reveals highly selective nonface clusters in the fusiform face area., , and . Nature Neuroscience, 9 (9): 1177--1185 (2006)Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program., , , , , , , , , and 22 other author(s). CoRR, (2018)Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment., , , and . CHI, page 1-13. ACM, (2020)