Automatic classification of endogenous landslide seismicity using the Random Forest supervised classifier
Author:
Affiliation:
1. Institut de Physique du Globe de Strasbourg, CNRS UMR 7516; University of Strasbourg/EOST; Strasbourg France
Funder
French National Research Agency (ANR) Open Partial Agreement Major Hazards of Council of Europe
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016GL070709/fullpdf
Reference25 articles.
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3. Random forests;Breiman;Mach. Learn.,2001
4. Classification of seismic signals at Villarrica volcano (Chile) using neural networks and genetic algorithms;Curilem;J. Volcanol. Geotherm. Res.,2009
5. Automatic detection of alpine rockslides in continuous seismic data using Hidden Markov Models;Dammeier;J. Geophys. Res. Earth Surf.,2016
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