articleTop 1% cited
A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
Geomorphology · 2020 · Vol. 362 · pp. 107201–107201
Deliang Sun(Chongqing Normal University)Haijia Wen✉(Chongqing University)Danzhou Wang(Chongqing Normal University)Jiahui Xu(Chongqing Normal University)
Landslides and related hazardsCryospheric studies and observationsSoil erosion and sediment transportLandslideHyperparameterGeospatial analysisAlgorithmData setBayes' theoremRandom forestGeologyElevation (ballistics)Bayesian probability
Funding
- National Natural Science Foundation of China
- National Key Research and Development Program of China Stem Cell and Translational Research
Citations
453
FWCI
102.17
field-weighted impact
References
45
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100%
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Citations per year
References
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
Geomorphology · 2004 · 1,873 citations
Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
Geomorphology · 2016 · 432 citations
A review of statistically-based landslide susceptibility models
Earth-Science Reviews · 2018 · 2,105 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
Bagging Predictors
Machine Learning · 1996 · 16,689 citations
Bagging predictors
Machine Learning · 1996 · 16,271 citations
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