A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo-Reference-Cited by-同舟云学术

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A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo

Published:2020-11-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)
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Author:

Wang Yiding,Wang Zhenyi,Li Chenghao,Zhang Yilin,Wang Haizhou

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9390576/9391500/09391501.pdf?arnumber=9391501

Cited by 17 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. CCFN: Depression Detection via Multimodal Fusion with Complex-valued Capsule Network;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches;Sensors;2024-01-06

3. Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram;Diagnostics;2023-12-25

4. A hybrid depression detection model and correlation analysis for social media based on attention mechanism;International Journal of Machine Learning and Cybernetics;2023-12-23

5. Depression Classification from Thai Text Twitter Post based on NLP-generated Corpus;2023 7th International Conference on Information Technology (InCIT);2023-11-16

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