Decision tree based ensemble machine learning approaches for landslide susceptibility mapping-Reference-Cited by-同舟云学术

Decision tree based ensemble machine learning approaches for landslide susceptibility mapping

Published:2021-03-19 Issue: Volume: Page:1-35
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Arabameri Alireza¹^ORCID,Chandra Pal Subodh²^ORCID,Rezaie Fatemeh³⁴,Chakrabortty Rabin²^ORCID,Saha Asish²^ORCID,Blaschke Thomas⁵^ORCID,Di Napoli Mariano⁶^ORCID,Ghorbanzadeh Omid⁵^ORCID,Thi Ngo Phuong Thao⁷^ORCID

Affiliation:

1. Department of Geomorphology, Tarbiat Modares University, Tehran, Iran

2. Department of Geography, The University of Burdwan, Bardhaman, India

3. Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon, Republic of Korea

4. Korea University of Science and Technology, Daejeon, Republic of Korea

5. Department of Geoinformatics–Z_GIS, University of Salzburg, Salzburg, Austria

6. Department of Earth, Environment and Life Sciences, University of Genoa, Genova, Italy

7. Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1892210

Reference129 articles.

1. Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures

2. COMPLETING A TOTAL UNCERTAINTY MEASURE IN THE DEMPSTER-SHAFER THEORY

3. A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS

4. Building classification trees using the total uncertainty criterion

5. Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria

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