Reference Type | Journal (article/letter/editorial) |
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Title | Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future? |
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Journal | Journal of Geophysical Research: Solid Earth |
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Authors | Li, Yunyue Elita | Author |
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O’Malley, Daniel | Author |
Beroza, Greg | Author |
Curtis, Andrew | Author |
Johnson, Paul | Author |
Year | 2023 (January) | Volume | 128 |
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Issue | 1 |
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Publisher | American Geophysical Union (AGU) |
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DOI | doi:10.1029/2022jb026310Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 15672819 | Long-form Identifier | mindat:1:5:15672819:7 |
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GUID | 0 |
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Full Reference | Li, Yunyue Elita, O’Malley, Daniel, Beroza, Greg, Curtis, Andrew, Johnson, Paul (2023) Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?. Journal of Geophysical Research: Solid Earth, 128 (1) doi:10.1029/2022jb026310 |
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Plain Text | Li, Yunyue Elita, O’Malley, Daniel, Beroza, Greg, Curtis, Andrew, Johnson, Paul (2023) Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?. Journal of Geophysical Research: Solid Earth, 128 (1) doi:10.1029/2022jb026310 |
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In | (2023, January) Journal of Geophysical Research: Solid Earth Vol. 128 (1) American Geophysical Union (AGU) |
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