Automatic Depression Detection Among Higher Education Students Based on DeepFM-Reference-Cited by-同舟云学术

Automatic Depression Detection Among Higher Education Students Based on DeepFM

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Ruan Ziling¹^ORCID,Yang Pengfei¹^ORCID,Huang Jiayang¹^ORCID,Yang Keyi¹^ORCID,Lv Yidan¹^ORCID,Zhang Zhi-Qiang²^ORCID

Affiliation:

1. Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province and the School of Computer Science and Technology, Xidian University, Xi’an, China

2. School of Electronic and Electrical Engineering, Institute of Robotics, Autonomous Systems and Sensing, University of Leeds, Leeds, U.K.

Funder

Shaanxi Key Technology Research and Development Program

Fundamental Research Funds for the Central Universities

Key Research and Development Program of Shaanxi

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10555343.pdf?arnumber=10555343

Reference59 articles.

1. Early intervention for depression in young people: a blind spot in mental health care

2. Children Emotion Regulation: Development of Neural Marker by Investigating Human Brain Signals

3. SzHNN: A Novel and Scalable Deep Convolution Hybrid Neural Network Framework for Schizophrenia Detection Using Multichannel EEG

4. A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection

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