Context-aware Deep Learning for Multi-modal Depression Detection
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8671773/8682151/08683027.pdf?arnumber=8683027
Cited by 71 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. An End-to-End framework for extracting observable cues of depression from diary recordings;Expert Systems with Applications;2024-12
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3. Context-aware prediction of active and passive user engagement: Evidence from a large online social platform;Journal of Big Data;2024-08-08
4. IntervoxNet: a novel dual-modal audio-text fusion network for automatic and efficient depression detection from interviews;Frontiers in Physics;2024-07-12
5. From Detection to Empowerment: Integrating a context-aware coping strategies recommendations tool into an automatic depression detection system in social networks;International Journal of Information Technology;2024-06-10
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