Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy-Reference-Cited by-同舟云学术

Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy

Published:2023-11 Issue:6 Volume:14 Page:101645
ISSN:1674-9871
Container-title:Geoscience Frontiers
language:en
Short-container-title:Geoscience Frontiers

Author:

Zeng Taorui,Wu Liyang,Peduto Dario^ORCID,Glade Thomas,Hayakawa Yuichi S.^ORCID,Yin Kunlong^ORCID

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference110 articles.

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3. A novel methodology for Groundwater Flooding Susceptibility assessment through Machine Learning techniques in a mixed-land use aquifer;Allocca;Sci. Total Environ.,2021

4. Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks;Al-Najjar;Geosci. Front.,2021

5. A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping;Althuwaynee;Landslides,2014

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