Automatic Depression Detection Among Higher Education Students Based on DeepFM

Ruan, Z., Yang, P., Huang, J. et al. (3 more authors) (2024) Automatic Depression Detection Among Higher Education Students Based on DeepFM. IEEE Transactions on Instrumentation and Measurement, 73. 2521010. ISSN 0018-9456

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

This is an author produced version of an article published in IEEE Transactions on Instrumentation and Measurement, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Depression detection, data imbalance, deep learning, DeepFM, campus big data
Dates:
  • Published: 21 June 2024
  • Published (online): 12 June 2024
  • Accepted: 6 February 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 Feb 2024 11:03
Last Modified: 07 Aug 2024 12:47
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TIM.2024.3413175
Open Archives Initiative ID (OAI ID):

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