Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

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ID: 260641
2018
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Abstract
The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest (RF) and random subspace (RS) ensemble algorithms under two scenarios of different sample sizes and raster resolut …
Reference Key
a2018sensorsnovel Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shirzadi A;Soliamani K;Habibnejhad M;Kavian A;Chapi K;Shahabi H;Chen W;Khosravi K;Thai Pham B;Pradhan B;Ahmad A;Bin Ahmad B;Tien Bui D;;
Journal sensors
Year 2018
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/30400627
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine ataollah shirzadi dieu tien bui pmid:30400627 pmc6263474 doi:10.3390/s18113777 karim soliamani

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