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  Empowering machine learning forecasting of labquake using event-based featuresand clustering characteristics

Karimpouli, S., Kwiatek, G., Ben-Zion, Y., Martinez Garzon, P., Dresen, G., Bohnhoff, M. (2024): Empowering machine learning forecasting of labquake using event-based featuresand clustering characteristics. - Journal of Geophysical Research - Machine Learning and Computation, 1, 2, e2024JH000160.
https://doi.org/10.1029/2024jh000160

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025180 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025180_1
Genre: Journal Article

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 Creators:
Karimpouli, Sadegh1, Author              
Kwiatek, Grzegorz1, Author              
Ben-Zion, Yehuda1, Author              
Martinez Garzon, P.1, Author              
Dresen, G.1, Author              
Bohnhoff, M.1, Author              
Affiliations:
14.2 Geomechanics and Scientific Drilling, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146035              

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Free keywords: DEAL Wiley
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 Dates: 20242024
 Publication Status: Finally published
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 Identifiers: OATYPE: Gold - DEAL Wiley
GFZPOF: p4 T8 Georesources
DOI: 10.1029/2024jh000160
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Title: Journal of Geophysical Research - Machine Learning and Computation
Source Genre: Journal, other, oa
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Pages: - Volume / Issue: 1 (2) Sequence Number: e2024JH000160 Start / End Page: - Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/20240213
Publisher: American Geophysical Union (AGU)
Publisher: Wiley