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Goetz, J.N., Brenning, A., Petschko, H., Leopold, P. (2015) Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Computers & Geosciences, 81. 1-11 doi:10.1016/j.cageo.2015.04.007

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Reference TypeJournal (article/letter/editorial)
TitleEvaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
JournalComputers & Geosciences
AuthorsGoetz, J.N.Author
Brenning, A.Author
Petschko, H.Author
Leopold, P.Author
Year2015 (August)Volume81
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2015.04.007Search in ResearchGate
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Mindat Ref. ID454337Long-form Identifiermindat:1:5:454337:8
GUID0
Full ReferenceGoetz, J.N., Brenning, A., Petschko, H., Leopold, P. (2015) Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Computers & Geosciences, 81. 1-11 doi:10.1016/j.cageo.2015.04.007
Plain TextGoetz, J.N., Brenning, A., Petschko, H., Leopold, P. (2015) Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Computers & Geosciences, 81. 1-11 doi:10.1016/j.cageo.2015.04.007
In(2015) Computers & Geosciences Vol. 81. Elsevier BV

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Wang, Zhihao, Goetz, Jason, Brenning, Alexander (2022) Transfer learning for landslide susceptibility modeling using domain adaptation and case-based reasoning. Geoscientific Model Development, 15 (23) 8765-8784 doi:10.5194/gmd-15-8765-2022
Yang, Shilong, Tan, Jiayao, Luo, Danyuan, Wang, Yuzhou, Guo, Xu, Zhu, Qiuyu, Ma, Chuanming, Xiong, Hanxiang (2024) Sample size effects on landslide susceptibility models: A comparative study of heuristic, statistical, machine learning, deep learning and ensemble learning models with SHAP analysis. Computers & Geosciences, 193. doi:10.1016/j.cageo.2024.105723
Steger, Stefan, Brenning, Alexander, Bell, Rainer, Petschko, Helene, Glade, Thomas (2016) Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps. Geomorphology, 262. 8-23 doi:10.1016/j.geomorph.2016.03.015
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Zhou, Chao, Yin, Kunlong, Cao, Ying, Ahmed, Bayes, Li, Yuanyao, Catani, Filippo, Pourghasemi, Hamid Reza (2018) Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China. Computers & Geosciences, 112. 23-37 doi:10.1016/j.cageo.2017.11.019
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