Checkpoint Selection and Evaluation in EEG Emotion Recognition

arXiv:2607.27655 · cs.LG · Submitted 2026-07-30 · Read on arXiv

cs.LG

Submitted: 2026-07-30

Updated: 2026-09-14

Comments: 15 pages, 3 figures, 3 tables; 27-page supplementary information and reproducibility materials in ancillary files. Substantially revised title and analysis, added SEED-IV and SEED-V experiments, and updated author list. Submitted to Neuroinformatics

Code: https://github.com/hantingsuo/eeg-generalizationresearch

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 70× in this paper · explained in 1 episode
• Benchmark — 20× in this paper · explained in 2 episodes
• Aggregation — 16× in this paper · explained in 1 episode
• Generalization — 12× in this paper · explained in 13 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Affective Computing — 4× in this paper · explained in 1 episode
• Ablation — 3× in this paper · explained in 1 episode
• Provenance — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Selection Bias — 3× in this paper · explained in 4 episodes
• alpha — 3× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework
• Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework

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