Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes-Reference-Cited by-同舟云学术

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Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Liu Yan-Kai¹,Jiang Wei-Bang¹,Lu Bao-Liang¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892825.pdf?arnumber=9892825

Reference18 articles.

1. Conditional neural processes;garnelo;International Conference on Machine Learning,2018

2. Differential entropy feature for EEG-based emotion classification

3. EmotionMeter: A Multimodal Framework for Recognizing Human Emotions;zheng;IEEE Transactions on Cybernetics,2018

4. Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition;liu;IEEE Transactions on Cognitive and Developmental Systems,2021

Cited by 1 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. CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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