J
Jianhua Zhang
H-index:23
Citation Count:3,040
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An audio-visual fusion emotion generation model based on neuroanatomical alignment
基于神经解剖学对齐的视听融合情感生成模型
Information Fusion
IF15.5
Estimating dynamical affective state via domain-to-modality level feature integration from eye movement and EEG signals
通过眼动和EEG信号,在领域-模态层面特征集成下估计动态情感状态
Enhancing EEG-based individual-generic emotion recognition through invariant sparse patterns extracted from ongoing affective processes
通过从持续情感过程中提取的不变稀疏模式增强基于EEG的个体通用情感识别
Enhancing generic cognitive workload recognition with a dynamic hierarchical 3-D attention network and EEG features
通过动态分层3-D注意力网络和EEG特征增强通用认知工作负荷识别
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
使用多模态数据和机器学习技术的情感识别: 教程和评论
INFORMATION FUSION
IF15.5

