ResearchBenchmarksEmotion Classification on IEMOCAP MAEmotion Classification on IEMOCAP MAFollow61.1AccuracyEDL44.04448.47252.957.328Feb 20, 2024Evaluation resultsMethodMethodLinksAccuracyUARECEMCEEDLframework=Evidential D...framework=Evidential Deep Learning2024.0261.159.610.314.5Ensemblenumber_of_models=10number_of_models=102024.0259.359.543.959.4MCDPuncertainty_type=Monte...uncertainty_type=Monte Carlo Dropout2024.0258.457.212.818.4MLEobjective=maximum like...objective=maximum likelihood estimation2024.0258.257.720.623.9MLE+NMA as extra class=trueNMA as extra class=true2024.0244.743.830.338.3