Using deep learning to predict ideology from facial photographs: expressions, beauty, and extra-facial information
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
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
- Urheber
-
Rasmussen, Stig Hebbelstrup Rye
Ludeke, Steven G.
Klemmensen, Robert
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-31796-1
- URN
-
urn:nbn:de:101:1-2023090911512744463916
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Rasmussen, Stig Hebbelstrup Rye
- Ludeke, Steven G.
- Klemmensen, Robert
- SpringerLink (Online service)
Ähnliche Objekte (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
Inscrutable games? Facial expressions predict economic behavior
Mothers’ pupillary responses to infant facial expressions
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
Inscrutable games? Facial expressions predict economic behavior
Mothers’ pupillary responses to infant facial expressions
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
Inscrutable games? Facial expressions predict economic behavior
Mothers’ pupillary responses to infant facial expressions
Deliberate control over facial expressions in motherhood