HIGHLIGHTS
- who: Bju00f6rn Bu00fcdenbender et al. from the Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany have published the research: Training machine learning algorithms for automatic facial coding: The role of emotional facial expressionsu2019 prototypicality, in the Journal: PLOS ONE of 17/08/2022
- what: Because it is mainly unclear how classifiers are trained in AFC systems which are typically proprietary, the authors investigate the impact of training materials` prototypicality and the consequent influence on classification performance. The authors evaluate the classification performance for all models in terms of overall accuracy, kappa . . .
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