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dc.contributor.author
Micheletti, Natan
dc.contributor.author
Foresti, Loris
dc.contributor.author
Robert, Sylvain
dc.contributor.author
Leuenberger, Michael
dc.contributor.author
Pedrazzini, Andrea
dc.contributor.author
Jaboyedoff, Michel
dc.contributor.author
Kanevski, Mikhail
dc.date.accessioned
2017-06-11T05:31:02Z
dc.date.available
2017-06-11T05:31:02Z
dc.date.issued
2014
dc.identifier.issn
1874-8961
dc.identifier.issn
0882-8121
dc.identifier.issn
1874-8953
dc.identifier.issn
1573-8868
dc.identifier.uri
http://hdl.handle.net/20.500.11850/81047
dc.language.iso
en
dc.publisher
Springer
dc.subject
Landslide susceptibility mapping
dc.subject
Support vector machines (SVM)
dc.subject
Adaptive scaling SVM
dc.subject
Random forests
dc.subject
AdaBoost
dc.subject
Multiscale terrain features
dc.subject
Object-based validation
dc.title
Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
dc.type
Journal Article
ethz.journal.title
Mathematical geosciences
ethz.journal.volume
46
ethz.journal.issue
1
ethz.pages.start
33
ethz.pages.end
57
ethz.notes
.
ethz.identifier.wos
ethz.identifier.nebis
010009293
ethz.publication.place
Berlin
ethz.publication.status
published
ethz.date.deposited
2017-06-11T05:33:26Z
ethz.source
ECIT
ethz.identifier.importid
imp593651aaed0d673482
ethz.ecitpid
pub:127435
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-14T16:25:09Z
ethz.rosetta.lastUpdated
2017-07-14T16:25:09Z
ethz.rosetta.versionExported
true
ethz.COinS
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