An ST-GCN on hybrid structural-functional EEG graphs claims 69% accuracy for stress detection, but the evaluation appears to leak subject information and tune hyperparameters on the test set.
Data in Brief40, 107772 (2022)
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Decoding the Stressed Brain with Geometric Machine Learning
An ST-GCN on hybrid structural-functional EEG graphs claims 69% accuracy for stress detection, but the evaluation appears to leak subject information and tune hyperparameters on the test set.