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The unbearable (technical) unreliability of automated facial emotion recognition.

, , and . Big Data Soc., 9 (2): 205395172211295 (July 2022)

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Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches., , , and . Inf. Sci., (2021)A Question of Trust: Old and New Metrics for the Reliable Assessment of Trustworthy AI., , and . HEALTHINF, page 132-143. SCITEPRESS, (2023)Exploring Medical Data Classification with Three-Way Decision Trees., , and . HEALTHINF, page 147-158. SciTePress, (2019)978-989-758-353-7.Toward a Perspectivist Turn in Ground Truthing for Predictive Computing., , and . AAAI, page 6860-6868. AAAI Press, (2023)Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning., , , , and . CD-MAKE, volume 13480 of Lecture Notes in Computer Science, page 31-50. Springer, (2022)Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings., , , and . BMC Medical Informatics Decis. Mak., 20-S (5): 142 (2020)Three-way Learnability: A Learning Theoretic Perspective on Three-way Decision., and . FedCSIS, volume 30 of Annals of Computer Science and Information Systems, page 243-246. (2022)Learnability in "Learning from Fuzzy Labels".. FUZZ-IEEE, page 1-6. IEEE, (2021)Measuring Uncertainty in Orthopairs., and . ECSQARU, volume 10369 of Lecture Notes in Computer Science, page 423-432. Springer, (2017)Re-calibrating Machine Learning Models Using Confidence Interval Bounds., , and . MDAI, volume 13408 of Lecture Notes in Computer Science, page 132-142. Springer, (2022)