A Multi-Modal Hierarchical Recurrent Neural Network for Depression Detection

Author:

Yin Shi1,Liang Cong1,Ding Heyan1,Wang Shangfei1

Affiliation:

1. University of Science and Technology of China, Hefei, China

Funder

National Key R&D Program of China

National Science Foundation of China

Publisher

ACM Press

Reference33 articles.

1. Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton. 2016. Layer Normalization. CoRR , Vol. abs/1607.06450 (2016).

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3. L. Chao, J. Tao , M. Yang, and Y. Li. 2015. Multi task sequence learning for depression scale prediction from video. In International Conference on Affective Computing and Intelligent Interaction (ACII) . 526--531.

4. J. F. Cohn, T. S. Kruez, I. Matthews, Y. Yang , M. H. Nguyen, M. T. Padilla , F. Zhou, and F. De la Torre. 2009. Detecting depression from facial actions and vocal prosody. In 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops . 1--7.

5. Harris Drucker. 1997. Improving regressors using boosting techniques. In ICML, Vol. 97. 107--115.

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