@article{BingjieJenny2022,
abstract = {X-ray fluorescence spectroscopy (XRF) plays an important role for elemental analysis in a wide range of scientific fields, especially in cultural heritage.},
archivePrefix = {arXiv},
arxivId = {2207.12651},
author = {Xu, Bingjie Jenny and Wu, Yunan and Hao, Pengxiao and Vermeulen, Marc and McGeachy, Alicia and Smith, Kate and Eremin, Katherine and Rayner, Georgina and Verri, Giovanni and Willomitzer, Florian and Alfeld, Matthias and Tumblin, Jack and Katsaggelos, Aggelos and Walton, Marc},
doi = {10.1039/D2JA00246A},
eprint = {2207.12651},
issn = {0267-9477},
journal = {Journal of Analytical Atomic Spectrometry},
number = {12},
pages = {2672--2682},
title = {{Can deep learning assist automatic identification of layered pigments from XRF data?}},
url = {http://xlink.rsc.org/?DOI=D2JA00246A},
volume = {37},
year = {2022}
}

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