Addressing Data Imbalance in Hydrological Machine Learning: Impact of Advanced Sampling Methods on Performance and Interpretability

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Bibliografiske detaljer
Udgivet i:	Water Resources Research vol. 61, no. 10 (Oct 1, 2025)
Hovedforfatter:	Yin, Xiaoran
Andre forfattere:	Shu, Longcang, Wang, Zhe, Zhou, Long, Niu, Shuyao, Ren, Huazhun, Liu, Bo, Lu, Chengpeng
Udgivet:	John Wiley & Sons, Inc.
Fag:	Hydrologic data Datasets Algorithms Sampling methods Soil properties Hydraulic conductivity Hydrology Machine learning Hypercubes Random sampling Performance evaluation Learning algorithms Contamination Accuracy Soil sciences Training Groundwater Statistical sampling Decision making National forests Hydraulics Latin hypercube sampling Environmental
Online adgang:	Citation/Abstract Full Text Full Text - PDF
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