Towards harmonized seismic analysis across Europe using supervised machine 
learning approaches

Zaccarelli, Riccardo; Bindi, Dino; Cotton, Fabrice; Strollo, A.

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Towards harmonized seismic analysis across Europe using supervised machine learning approaches

Authors

/persons/resource/rizac

Zaccarelli, Riccardo
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/bindi

Bindi, Dino
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/fcotton

Cotton, Fabrice
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/strollo

Strollo, A.
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource

http://meetingorganizer.copernicus.org/EGU2017/EGU2017-17175.pdf
(Supplementary material)

Fulltext (public)

There are no public fulltexts stored in GFZpublic

Supplementary Material (public)

There is no public supplementary material available

Citation

Zaccarelli, R., Bindi, D., Cotton, F., Strollo, A. (2017): Towards harmonized seismic analysis across Europe using supervised machine learning approaches, (Geophysical Research Abstracts Vol. 19, EGU2017-17175), General Assembly European Geoscinces Union (Vienna 2017).

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_2212913

Abstract

There is no abstract available