Intention-use gaps and displacement of valued activities predict social media regret more strongly than duration, with pre-session context generalizing across users and physiological signals adding person-specific predictive power.
Picard, Elias Vyzas, and Jennifer Healey
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A unified inference-time augmentation framework using 13 methods with Bayesian optimization improves AUROC up to 8.5% and AUPRC up to 10.6% for PPG AF detection on five datasets with over 400 patients.
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A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection
A unified inference-time augmentation framework using 13 methods with Bayesian optimization improves AUROC up to 8.5% and AUPRC up to 10.6% for PPG AF detection on five datasets with over 400 patients.