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Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics

Research article (IEEE Transactions on Affective Computing, 2017) · cited 254× · AI/ML
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Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics

Summary

Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics is a scholarly article[1].

Key Facts

  • Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics's instance of is recorded as scholarly article[2].

Related Entities

Guodong Guo

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-depression-diagnosis-based-on-deep-networks-to-encode-facial-appearance-and-dynamics
MLA “Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-depression-diagnosis-based-on-deep-networks-to-encode-facial-appearance-and-dynamics.
BibTeX @misc{4ortxyz_automated-depression-diagnosis-based-on-deep-networks-to-encode-facial-appearance-and-dynamics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics}}, year = {2026}, url = {https://4ort.xyz/entity/automated-depression-diagnosis-based-on-deep-networks-to-encode-facial-appearance-and-dynamics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics — https://4ort.xyz/entity/automated-depression-diagnosis-based-on-deep-networks-to-encode-facial-appearance-and-dynamics (retrieved 2026-05-24)

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