Perspectives innovadores en el disseny d'algoritmes intel·ligents per a la classificació d'obres d'art : eines per a una millor integració humà-màquina

Translated title of the contribution: Innovative perspectives in the design of intelligent artwork classification algorithms :: tools for better human-machine integration

Pilar Dellunde i Clavé, Oriol Roca-Martín, Zoe Falomir, Vicent Costa

Research output: Contribution to journalArticleDissemination

Abstract

The present research explores an innovative perspective in the design of algorithms for classifying pictorial artworks according to their art style. Avoiding some of the human-machine integration issues associated with machine learning algorithm design, ℓ-SHE is an algorithm based on logical representation and qualitative concepts which in addition to successfully recognizing and classifying the art style of paintings, it works with semantic information, generates explanations of which reasonings have been followed for the classification results, and can easily be trained using relatively small databases.
Translated title of the contributionInnovative perspectives in the design of intelligent artwork classification algorithms :: tools for better human-machine integration
Original languageCatalan
JournalUAB Divulga
Publication statusPublished - 2021

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