A Random Forest Regression Method With Selected-Text Feature For Depression Assessment-Reference-Cited by-同舟云学术

A Random Forest Regression Method With Selected-Text Feature For Depression Assessment

Published:2017-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge
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Author:

Sun Bo¹,Zhang Yinghui²,He Jun¹,Yu Lejun¹,Xu Qihua¹,Li Dongliang¹,Wang Zhaoying¹

Affiliation:

1. Beijing Normal University, Beijing, China

2. Beijing Normal University, Beijing & Hebei Finance University, Baoding, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3133944.3133951

Reference19 articles.

1. Head Pose and Movement Analysis as an Indicator of Depression

2. Nicholas Cummins Julien Epps Michael Breakspear and Roland Goecke. 2011. An investigation of depressed speech detection: Features and normalization Twelfth Annual Conference of the International Speech Communication Association. Nicholas Cummins Julien Epps Michael Breakspear and Roland Goecke. 2011. An investigation of depressed speech detection: Features and normalization Twelfth Annual Conference of the International Speech Communication Association.

3. Predicting Depression via Social Media;Choudhury Munmun De;ICWSM,2013

4. Adam Dinoff Nathan Herrmann and Krista L. Lanctôt. 2017. Ceramides and depression: A systematic review. Journal of Affective Disorders (2017). Adam Dinoff Nathan Herrmann and Krista L. Lanctôt. 2017. Ceramides and depression: A systematic review. Journal of Affective Disorders (2017).

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