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stat.ML2023★ 2 cited
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance
Christoph Kern, Stephanie Eckman, Jacob Beck +3
When training data are collected from human annotators, the design of the annotation instrument, the instructions given to annotators, the characteristics of the annotators, and th…
stat.ML2023★ 18 cited
Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz +2
Supervised machine learning and predictive models have achieved an impressive standard today, enabling us to answer questions that were inconceivable a few years ago. Besides these…