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A Covariate-Adjusted Homogeneity Test with Application to Facial Recognition Accuracy Assessment
Ordinal scores occur commonly in medical imaging studies and in black-box forensic studies \citep{Phillips:2018}.
Ontological Learning from Weak Labels
We find that the baseline Siamese does not perform better by incorporating ontology information in the weak and multi-label scenario, but that the GCN does capture the ontology knowledge better for weak, multi-labeled data.
Face Identification Proficiency Test Designed Using Item Response Theory
Multiple tests of equal difficulty can be constructed then using subsets of items.
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