A Beta distribution framework models annotator consensus in continuous affect prediction by estimating mean and variance parameters to recover variability, skewness, and quantiles.
Strength modelling for real- world automatic continuous affect recognition from audiovi- sual signals.Image and Vision Computing, 65:76–86, 2017
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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.