How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences

Abstract Interpretable Machine Learning (IML) has rapidly advanced in recent years, offering new opportunities to improve our understanding of the complex Earth system. IML goes beyond conventional machine learning by not only making predictions but also seeking to elucidate the reasoning behind tho...

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Bibliographic Details
Main Authors:	Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler
Format:	Article
Language:	English
Published:	Wiley 2024-07-01
Series:	Earth's Future
Subjects:	machine learning XAI interpretable machine learning knowledge discovery interpretability big data
Online Access:	https://doi.org/10.1029/2024EF004540
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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences

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