A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling

Flood susceptibility modeling helps understand the relationship between influencing factors and occurrence of urban flooding and further provides spatial distribution of flood risk, which is critical for flood-risk reduction. Machine learning methods have been widely applied in flood susceptibility...

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Principais autores:	Wenkai Li, Yuanchi Liu, Ziyue Liu, Zhen Gao, Huabing Huang, Weijun Huang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Land
Assuntos:	urban flooding susceptibility machine learning positive data unlabeled data
Acesso em linha:	https://www.mdpi.com/2073-445X/11/11/1971
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