most citedMachine Learning for recognition of minerals from multispectral data

70 citations · 70 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 70 cited

Machine Learning for recognition of minerals from multispectral data

Pavel Jahoda, Igor Drozdovskiy, Francesco Sauro +3

Machine Learning (ML) has found several applications in spectroscopy, including being used to recognise minerals and estimate elemental composition. In this work, we present novel…