Depression Severity Estimation from Multiple Modalities
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8502682/8531078/08531119.pdf?arnumber=8531119
Cited by 10 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. BERT-based RNN for Effective Detection of Depression with Severity Levels from Text Data;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20
2. Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15
3. Expresso-AI: An Explainable Video-Based Deep Learning Models for Depression Diagnosis;2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII);2023-09-10
4. Learning Extended Term Frequency-Inverse Document Frequency (TF-IDF++) for Depression Screening From Sentences in Thai Blog Post;2023 8th International Conference on Business and Industrial Research (ICBIR);2023-05-18
5. Multi-modal Depression Estimation Based on Sub-attentional Fusion;Lecture Notes in Computer Science;2023
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