Deep Unsupervised Representation Learning for Feature-Informed EEG Domain Extraction
In electroencephalography (EEG) classification paradigms, data from a target subject is often difficult to obtain, leading to difficulties in training a robust deep learning network. Transfer learning and their variations are effective tools in improving such models suffering from lack of data. Howe...
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IEEE,
2023-01-01T00:00:00Z.
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