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  Failures, successes and challenges of machine-learning-based engineering ground-motion models

Cotton, F., Esfahani, R., Lilienkamp, H. (2024): Failures, successes and challenges of machine-learning-based engineering ground-motion models - Abstracts, EGU General Assembly 2024 (Vienna, Austria and Online 2024).
https://doi.org/10.5194/egusphere-egu24-12197

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025588 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025588_1
Genre: Conference Paper

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 Creators:
Cotton, Fabrice1, Author              
Esfahani, Reza1, Author              
Lilienkamp, Henning1, Author              
Affiliations:
12.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146032              

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Free keywords: Oral presentation
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Language(s): eng - English
 Dates: 2024
 Publication Status: Finally published
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 Identifiers: DOI: 10.5194/egusphere-egu24-12197
GFZPOF: p4 T3 Restless Earth
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Title: EGU General Assembly 2024
Place of Event: Vienna, Austria and Online
Start-/End Date: 2024-04-14 - 2024-04-19

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Title: Abstracts
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -