articleComputers & GeosciencesApr 20, 2015Closed access

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

Friedrich Schiller University Jena · University of Waterloo · +2 more institutions

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Abstract

No abstract available for this paper.

Citation impact

815
total citations
FWCI
117.09
Percentile
100%
References
88
Citations per year

Authors

4

Topics & keywords

Keywords
  • Support vector machine
  • Random forest
  • Logistic regression
  • Landslide
  • Artificial intelligence
  • Machine learning
  • Computer science
  • Receiver operating characteristic
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Funding