SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection - Qiu, Lina; Zhong, Liangquan; Li, Jianping; Feng, Weisen; Zhou, Chengju; Pan, Jiahui (Neural networks, 2024)
Keywords: Adult; Attention - physiology; Brain-Computer Interfaces; Consciousness - physiology; Cross-subject; Electroencephalography - methods; Emotion recognition; Emotions - physiology; Female; Graph attention network; Humans; Male; Neural Networks, Computer; Self-supervised; Semi-supervised; Supervised Machine Learning; Emotion recognition; Self-supervised; Cross-subject; Graph attention network; Semi-supervised