Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features-Reference-Cited by-同舟云学术

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Human Behaviour-Based Automatic Depression Analysis Using Hand-Crafted Statistics and Deep Learned Spectral Features

Published:2018-05 Issue: Volume: Page:
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Container-title:2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
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Author:

Song Siyang,Shen Linlin,Valstar Michel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8372403/8373793/08373825.pdf?arnumber=8373825

Cited by 65 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. A Multi-Frame Rate Network with Attention Mechanism for Depression Severity Estimation;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

2. Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion;Proceedings of the IEEE;2023-10

3. Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition;IEEE Transactions on Affective Computing;2023-10-01

4. A Depression Recognition Method Based on the Alteration of Video Temporal Angle Features;Applied Sciences;2023-08-14

5. Gaze Behavior based Depression Severity Estimation;2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML);2023-08-04

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