Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information ; volume:13 ; number:1 ; day:31 ; month:3 ; year:2023 ; pages:1-8 ; date:12.2023
Scientific reports ; 13, Heft 1 (31.3.2023), 1-8, 12.2023
- Creator
-
Rasmussen, Stig Hebbelstrup Rye
Ludeke, Steven G.
Klemmensen, Robert
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-31796-1
- URN
-
urn:nbn:de:101:1-2023090911512744463916
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rasmussen, Stig Hebbelstrup Rye
- Ludeke, Steven G.
- Klemmensen, Robert
- SpringerLink (Online service)
Other Objects (12)
Chinese Facial Beauty Preference
Altering Facial Movements Abolishes Neural Mirroring of Facial Expressions
Contemporary Koreans’ Perceptions of Facial Beauty
Reading facial expressions in 30 minutes
Facial Expressions of Pain : Automated Analyses
Recognizing Emotions Conveyed through Facial Expressions
Uncovering the Bias in Facial Expressions
Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions
Mothers’ pupillary responses to infant facial expressions
Inscrutable games? Facial expressions predict economic behavior
Deliberate control over facial expressions in motherhood
Culture shapes how we describe facial expressions
Chinese Facial Beauty Preference
Altering Facial Movements Abolishes Neural Mirroring of Facial Expressions
Contemporary Koreans’ Perceptions of Facial Beauty
Reading facial expressions in 30 minutes
Facial Expressions of Pain : Automated Analyses
Recognizing Emotions Conveyed through Facial Expressions
Uncovering the Bias in Facial Expressions
Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions
Mothers’ pupillary responses to infant facial expressions
Inscrutable games? Facial expressions predict economic behavior
Deliberate control over facial expressions in motherhood
Culture shapes how we describe facial expressions
Chinese Facial Beauty Preference
Altering Facial Movements Abolishes Neural Mirroring of Facial Expressions
Contemporary Koreans’ Perceptions of Facial Beauty
Reading facial expressions in 30 minutes
Facial Expressions of Pain : Automated Analyses
Recognizing Emotions Conveyed through Facial Expressions
Uncovering the Bias in Facial Expressions
Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions
Mothers’ pupillary responses to infant facial expressions
Inscrutable games? Facial expressions predict economic behavior
Deliberate control over facial expressions in motherhood