Open access
2026
A Coarse-to-Fine Semisupervised Framework for Reliable Cross-Subject Emotion Measurement Using EEG Signals
A coarse-to-fine semisupervised domain adaptation (CFSDA) framework that progressively aligns distributions at both domain and class levels and achieves state-of-the-art performance in label-scarce cross-subject emotion recognition.
Yong-Tao Chen, Zhe-Long Wang, Li-Na Zhang et al.
· IEEE Transactions on Instrum... · 0 citations