Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition-Reference-Cited by-同舟云学术

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Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition

Published:2021-06-06 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Chao,Chen Boyang,Zhao Ziping,Cummins Nicholas,Schuller Bjorn W.

Funder

National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09413635.pdf?arnumber=9413635

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis;Frontiers in Physiology;2024-07-25

2. MASA-TCN: Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition;IEEE Journal of Biomedical and Health Informatics;2024-07

3. EEG-based Emotion Recognition Using Temporal Convolutional Network and Vision Transformer;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Detecting Users' Emotional States during Passive Social Media Use;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-05-13

5. Multi-Level Speaker-Independent Emotion Recognition Using Complex-MFCC and Swin Transformer;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

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