EEG Foundation Models: Progresses, Benchmarking, and Open Problems
Paper
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2601.17883
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Published
•
15
Dingkun Liu
DiMaria0817
AI & ML interests
Brain-computer interfaces, transfer learning, foundation model
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EEG Foundation Models: Progresses, Benchmarking, and Open Problems
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EEG Foundation Models: Progresses, Benchmarking, and Open Problems
upvoted
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UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease
Prediction Based on Intestinal Flora
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6 months ago
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm
Paper
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2506.11830
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Published
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2
MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification
Paper
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2507.20254
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Published
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21
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
Paper
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2503.05349
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Published
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1
UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora
Paper
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2407.21714
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Published
•
1