Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings

Author:

Ruiz de Miras JuanORCID,Gacto María José,Blanc María Rosario,Arroyo Germán,López Luis,Torres Juan Carlos,Martín Domingo

Funder

Government of Andalusia

Carlos III Health Institute

Government of Spain Ministry of Economy and Competitiveness

Ministry of Science Technology and Innovation

Publisher

Elsevier BV

Reference34 articles.

1. Atomic spectrometry update – a review of advances in X-ray fluorescence spectrometry and its special applications;Vanhoof;J. Anal. At. Spectrom.,2020

2. SmART_scan: a method to produce composition maps using any elemental, molecular and image data;Martin-Ramos;J. Cult. Herit.,2019

3. Pigments mapping on two mural paintings of the “house of garden” in pompeii (campania, Italy);Miriello;Mediterr. Archaeol. Archaeom.,2021

4. A combination of invasive and non-invasive techniques for the study of the palette and painting structure of a copy of Raphael's Transfiguration of Christ;Manzano;Herit. Sci.,2021

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