RT Journal Article
T1 An art painting style explainable classifier grounded on logical and commonsense reasoning
A1 Costa, Vicent
A1 Falomir, Zoe
A1 Dellunde, Pilar
A1 Alonso Moral, José María
K1 Knowledge representation and reasoning
K1 Explainable artificial intelligence
K1 Fuzzy logic
K1 Human-centered artificial intelligence
AB This paper presents the art painting style explainable classifier named ANYXI. The classifier is based on art specialists’ knowledge of art styles and human-understandable color traits. ANYXI overcomes the principal flaws in the few art painting style classifiers in the literature. In this way, we first propose, using the art specialists’ studies, categorizations of the Baroque, Impressionism, and Post-Impressionism. Second, we carry out a human survey with the aim of validating the appropriateness of the color features used in the categorizations for human understanding. Then, we analyze and discuss the accuracy and interpretability of the ANYXI classifier. The study ends with an evaluation of the rationality of explanations automatically generated by ANYXI. We enrich the discussion and empirical validation of ANYXI by considering a quantitative and qualitative comparison versus other explainable classifiers. The reported results show how ANYXI is outstanding from the point of viewof interpretability while keeping high accuracy (comparable to non-explainable classifiers). Moreover, automated generations are endowed with a good level of rationality.
PB Springer
YR 2023
FD 2023-05
LK http://hdl.handle.net/10347/32314
UL http://hdl.handle.net/10347/32314
LA eng
NO V. Costa, J.M. Alonso-Moral, Z. Falomir, P. Dellunde, “An art painting style explainable classifier grounded on logical and commonsense reasoning”, Soft Computing, 2023, https://doi.org/10.1007/s00500-023-08258-x
DS Minerva
RD 28 abr 2026