Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting-Reference-Cited by-同舟云学术

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Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
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Author:

Oureshi Syed Arbaaz,Dias Gael,Saha Sriparna,Hasanuzzaman Mohammed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09534330.pdf?arnumber=9534330

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

2. Detecting depression on video logs using audiovisual features;Humanities and Social Sciences Communications;2023-11-06

3. 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

4. Enhancing Depression Detection: Employing Autoencoders and Linguistic Feature Analysis with BERT and LSTM Model;2023 International Russian Automation Conference (RusAutoCon);2023-09-10

5. Investigations in Emotion Aware Multimodal Gender Prediction Systems From Social Media Data;IEEE Transactions on Computational Social Systems;2023-04

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