Multi-Task Collaborative Network: Bridge the Supervised and Self-Supervised Learning for EEG Classification in RSVP Tasks
Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in rapid serial visual presentation (RSVP) tasks. Previous approaches primarily relied on supervised learning (SL), which may result in...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2024-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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