Using machine learning to predict artistic styles: an analysis of trends and the research agenda

• Published in: The Artificial intelligence review Vol. 57; no. 5; p. 118
• Main Authors: Valencia, Jackeline, Pineda, Geraldine García, Pineda, Vanessa García, Valencia-Arias, Alejandro, Arcila-Diaz, Juan, de la Puente, Renata Teodori
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.05.2024; Springer; Springer Nature B.V
• Subjects: Artificial Intelligence; Bibliometrics; Computational linguistics; Computer Science; Creative ability; Deep learning; Documents; Graphics software; Image manipulation; Language processing; Machine learning; Natural language interfaces; Neural networks; Pattern recognition; Trends; Deep learning; PRISMA; Image analysis; Machine learning; Color; Artistic styles

In the field of art, machine learning models have been used to predict artistic styles in paintings. The foregoing is somewhat advantageous for analysts, as these tools can provide more valuable results and help reduce bias in the results and conclusions provided. Therefore, the objective of this re...