Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis
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DOI: 10.1109/jbhi.2022.3225089
Abstract: EEG-based tinnitus classification is a valuable tool for tinnitus diagnosis, research, and treatments. Most current works are limited to a single dataset where data patterns are similar. But EEG signals are highly non-stationary, resulting in… read more here.
Keywords: tinnitus diagnosis; unsupervised domain; domain; side aware ... See more keywords