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

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Bibliographic Details
Published in:	Water Resources Research vol. 61, no. 10 (Oct 1, 2025)
Main Author:	Yin, Xiaoran
Other Authors:	Shu, Longcang, Wang, Zhe, Zhou, Long, Niu, Shuyao, Ren, Huazhun, Liu, Bo, Lu, Chengpeng
Published:	John Wiley & Sons, Inc.
Subjects:	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 Access:	Citation/Abstract Full Text Full Text - PDF
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