Comparing the prediction performance of logistic model tree with different ensemble techniques in susceptibility assessments of different landslide types-Reference-Cited by-同舟云学术

Comparing the prediction performance of logistic model tree with different ensemble techniques in susceptibility assessments of different landslide types

Published:2022-06-27 Issue:26 Volume:37 Page:14261-14291
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Huang Junpeng¹²^ORCID,Ma Ning¹²,Ling Sixiang¹²^ORCID,Wu Xiyong¹²

Affiliation:

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

2. Key Laboratory of High-Speed Railway Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program, China

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2087751

Reference92 articles.

1. A comparison of GIS-based landslide susceptibility assessment of the Satuk village (Yenice, NW Turkey) by frequency ratio and multi-criteria decision methods

2. Mix-ratio sampling: Classifying multiclass imbalanced mouse brain images using support vector machine

3. Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India

4. A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

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