Unsupervised heterogeneous domain adaptation for EEG classification
Hanrui Wu,
Qinmei Xie,
Zhuliang Yu
et al.
Abstract:$Objective.$ Domain adaptation has been recognized as a potent solution to the challenge of limited training data for electroencephalography (EEG) classification tasks. Existing studies primarily focus on homogeneous environments, however, the heterogeneous properties of EEG data arising from device diversity cannot be overlooked. This motivates the development of heterogeneous domain adaptation methods that can fully exploit the knowledge from an auxiliary heterogeneous domain for EEG classification. $Approac… Show more
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