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...
Main Authors: | Ng, Han Wei, Guan, Cuntai |
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Other Authors: | College of Computing and Data Science |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/179117 |
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