研究论文
A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition
Minmin Miao, Longxin Zheng, Baoguo Xu, Yang Zhong, Wenjun Hu
Huzhou University Southeast University
来源Biomedical Signal Processing and Control
年份2022
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55
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5.26
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学术脉络
学科主题
生物医学EEG and Brain-Computer Interfaces
Emotion and Mood Recognition · Functional Brain Connectivity Studies
参考文献 75
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
被引 2,477Wei‐Long Zheng, Bao‐Liang Lu · IEEE Transactions on Autonomous Mental Development · 2015
A Sparse-Group Lasso
被引 1,387Noah Simon, Jerome H. Friedman, Trevor Hastie · Journal of Computational and Graphical Statistics · 2012
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
被引 647Umut Orhan, Mahmut Hekim, Mahmut Özer · Expert Systems with Applications · 2011
此处列出前 3 条
施引文献 55
Emotion recognition in EEG signals using deep learning methods: A review
被引 207Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars · Computers in Biology and Medicine · 2023
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
被引 65Rui Li, Chao Ren, Yiqing Ge · Knowledge-Based Systems · 2023
Advances in EEG-based emotion recognition: Challenges, methodologies, and future directions
被引 65Jichi Chen, Yuguo Cui, Chunfeng Wei · Applied Soft Computing · 2025
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