Special Issue: Data-Driven Discovery in Geosciences: Opportunities and Challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11004-023-10054-0.pdf
Reference35 articles.
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2. Bell G, Hey T, Szalay A (2009) Beyond the data deluge. Science 323:1297–1298
3. Bergen KJ, Johnson PA, Maarten V, Beroza GC (2019) Machine learning for data-driven discovery in solid Earth geoscience. Science 363:eaau0323
4. Bristol RS, Euliss Jr NH, Booth NL, Burkardt N, Diffendorfer JE, Gesch DB, McCallum BE, Miller DM, Morman SA, Poore BS (2012) Science strategy for core science systems in the US Geological Survey, 2013–2023. US Geological Survey
5. Chen G, Cheng Q, Lyons TW, Shen J, Agterberg F, Huang N, Zhao M (2022a) Reconstructing Earth’s atmospheric oxygenation history using machine learning. Nat Commun 13:5862
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