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

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書誌詳細
出版年:	Water Resources Research vol. 61, no. 10 (Oct 1, 2025)
第一著者:	Yin, Xiaoran
その他の著者:	Shu, Longcang, Wang, Zhe, Zhou, Long, Niu, Shuyao, Ren, Huazhun, Liu, Bo, Lu, Chengpeng
出版事項:	John Wiley & Sons, Inc.
主題:	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
オンライン･アクセス:	Citation/Abstract Full Text Full Text - PDF
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