Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

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...

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Detalles Bibliográficos

Autores principales:	Ataollah Shirzadi, Karim Soliamani, Mahmood Habibnejhad, Ataollah Kavian, Kamran Chapi, Himan Shahabi, Wei Chen, Khabat Khosravi, Binh Thai Pham, Biswajeet Pradhan, Anuar Ahmad, Baharin Bin Ahmad, Dieu Tien Bui
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2018-11-01
Colección:	Sensors
Materias:	landslide alternating decision tree GIS machine learning algorithms Iran
Acceso en línea:	https://www.mdpi.com/1424-8220/18/11/3777
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