A Beta distribution framework models annotator consensus in continuous affect prediction by estimating mean and variance parameters to recover variability, skewness, and quantiles.
Sewa db: A rich database for audio-visual emotion and sentiment re- search in the wild.IEEE transactions on pattern analysis and machine intelligence, 43(3):1022–1040, 2019
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Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction
A Beta distribution framework models annotator consensus in continuous affect prediction by estimating mean and variance parameters to recover variability, skewness, and quantiles.