Landslide susceptibility mapping by attentional factorization machines considering feature interactions

Landslide susceptibility mapping (LSM) is a commonly used approach to reduce landslide risk. However, conventional LSM methods generally only consider the influence of each single conditioning factor on landslide occurrence or absence, which neglects the interactions of different conditioning factor...

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Detalles Bibliográficos

Principais autores:	Lei-Lei Liu, Can Yang, Fa-Ming Huang, Xiao-Mi Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Taylor & Francis Group 2021-01-01
Series:	Geomatics, Natural Hazards & Risk
Assuntos:	landslide susceptibility mapping machine learning random forest feature interaction attentional factorization machine (afm).
Acceso en liña:	http://dx.doi.org/10.1080/19475705.2021.1950217
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