Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks-Reference-Cited by-同舟云学术

Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Tlachac ML¹,Gerych Walter²,Agrawal Kratika²,Litterer Benjamin³,Jurovich Nicholas²,Thatigotla Saitheeraj⁴,Thadajarassiri Jidapa²,Rundensteiner Elke A.²

Affiliation:

1. Bryant University,Center for Health & Behavioral Sciences,Department of Information Systems & Analytics,Smithfield,USA,RI 02911

2. Worcester Polytechnic Institute (WPI),Data Science and Computer Science Departments,Worcester,USA,MA 01609

3. University of Michigan,School of Information,Ann Arbor,USA,MI 48109

4. University of Tennessee,Knoxville,TN,37996

Funder

U.S. Department of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020224.pdf?arnumber=10020224

Reference55 articles.

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5. Transfer learning for depression screening from follow-up clinical interview questions;flores;Applied deep learning,2022

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