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  Increasing magnitude scale consistency by combining multiple waveform features through machine learning

Münchmeyer, J., Bindi, D., Sippl, C., Tilmann, F. (2019): Increasing magnitude scale consistency by combining multiple waveform features through machine learning, (Geophysical Research Abstracts, Vol. 21, EGU2019-7530), General Assembly European Geosciences Union (Vienna 2019).

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_4144917 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_4144917_2
Genre: Conference Paper

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https://meetingorganizer.copernicus.org/EGU2019/EGU2019-7530.pdf (Supplementary material)
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 Creators:
Münchmeyer, J.1, Author              
Bindi, Dino2, Author              
Sippl, Christian3, Author              
Tilmann, F.1, Author              
Affiliations:
12.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_30023              
22.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146032              
34.1 Lithosphere Dynamics, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146034              

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 Dates: 2019
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: GFZPOF: p3 PT4 Natural Hazards
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Title: General Assembly European Geosciences Union
Place of Event: Vienna
Start-/End Date: 2019-04-07 - 2019-04-12

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Title: Geophysical Research Abstracts, Vol. 21, EGU2019-7530
Source Genre: Series
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