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papersTODAY 04:00 UTC

Checkpoint Selection and Evaluation in EEG Emotion Recognition

A study examines how choosing model checkpoints can inflate reported electroencephalography-based emotion recognition scores without any real gain in trial-level performance. The authors compare selection and scoring across separate trial pools along fixed training trajectories. The findings suggest that same-session evaluation practices can distort benchmark comparisons in this field.