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Articles citing this paper

The Utility of Machine Learning in Identification of Key Geophysical and Geochemical Datasets: A Case Study in Lithological Mapping in the Central African Copper Belt

Stephen Kuhn, Matthew Cracknell and Anya Reading
2018(1) pp.1 - 4


3 articles found in Crossref database.

Training machines in Earthly ways
Marone Chris
Nature Geoscience. 2018 11(5). p.301
Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
Nugroho Hary, Wikantika Ketut, Bijaksana Satria, Saepuloh Asep
Open Geosciences. 2023 15(1).
Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier
Kuhn Stephen, Cracknell Matthew J., Reading Anya M., Sykora Stephanie
GEOPHYSICS. 2020 85(6). p.B249
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