Open access
Jul 2026
Uncertainty-aware music genre classification using evidential deep learning
An uncertainty quantification by Dirichlet based evidence modeling with hybrid convolutional neural network-long short term memory network (CNN-LSTM) where the incorrect predictions have been penalized via Kullback-Leibler (KL) divergence is proposed.
V. Sidharrth, Jayan Sarada, Bilal Alataş
· PeerJ Computer Science · 0 citations