SCOPE uses cohort-level external supervision, confidence-aware pseudo-labels, and a lightweight prototype-conditioned adapter (ProAdapter) to adapt frozen EEG foundation models in label-limited settings, reporting consistent gains across 50 experimental configurations.
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NAPS fuses heterogeneous physiological signals via attention-based aggregation on frozen unimodal encoders to achieve state-of-the-art generalization in sleep staging across datasets.
citing papers explorer
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SCOPE: Structured Prototype-Guided Adaptation for EEG Foundation Models with Limited Labels
SCOPE uses cohort-level external supervision, confidence-aware pseudo-labels, and a lightweight prototype-conditioned adapter (ProAdapter) to adapt frozen EEG foundation models in label-limited settings, reporting consistent gains across 50 experimental configurations.
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NAPS: Attention-Based Fusion of Heterogeneous Physiological Signals
NAPS fuses heterogeneous physiological signals via attention-based aggregation on frozen unimodal encoders to achieve state-of-the-art generalization in sleep staging across datasets.