logo
ResearchBunny Logo
Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings

Psychology

Tracking historical changes in perceived trustworthiness in Western Europe using machine learning analyses of facial cues in paintings

L. Safra, C. Chevallier, et al.

This intriguing study by Lou Safra, Coralie Chevallier, Julie Grèzes, and Nicolas Baumard delves into the historical rise of perceived trustworthiness in Western Europe from 1500 to 2000. By harnessing the power of machine learning to analyze facial expressions in historical portraits, the researchers reveal a fascinating upward trend in trustworthiness, suggesting a possible connection to improving living standards.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
Medicine and Health

Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review

J. Zhang, F. Zhong, et al.

Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors
Chemistry

Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors

I. B. Orhan, T. C. Le, et al.

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing
Computer Science

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

D. Rankin, M. Black, et al.

Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms
Medicine and Health

Short-term local predictions of COVID-19 in the United Kingdom using dynamic supervised machine learning algorithms

X. Wang, Y. Dong, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny