Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Artificial Neural Networks Can Distinguish Genuine and Acted Anger by ..."

Zhenyue Qin et al. (2018)

> Home

Details and statistics

DOI: 10.1007/978-3-030-04221-9_27

access: closed

type: Conference or Workshop Paper

metadata version: 2019-09-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iconip/QinGCZH18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iconip/QinGCZH18
Zhenyue Qin, Tom Gedeon, Lu Chen, Xuanying Zhu, Md. Zakir Hossain:
Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants. ICONIP (5) 2018: 299-310

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.