IEEE

Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components With Contrastive Learning

Abstract: The utilization of Artificial Intelligence for Generative Content (AIGC) has emerged as an effective and sophisticated approach for generating synthetic Electroencephalography (EEG) signals.
Reuters

US House committee reaches bipartisan deal on social media rules for youth

WASHINGTON, June 22 (Reuters) - U.S. House Energy and Commerce Committee leaders said ‌in a statement on Monday they had reached a bipartisan agreement on legislation requiring social media platforms ...
UPI

House committee leaders reach agreement to advance online safety bill

June 22 (UPI) --Leaders in the House Energy and Commerce Committee announced a bipartisan agreement Monday to advance the Kids Online Safety Act. Committee Chairman Rep. Brett Guthrie, R-Ky., and ...
IEEE

Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification

Abstract: Sleep stage classification is an important step in the diagnosis and treatment of sleep disorders. Despite the high classification performance of previous sleep stage classification work, ...