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Xiaoran Yin

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Articles

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

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By Xiaoran Yin, Longcang Shu, Zhe Wang, Long Zhou
| Wiley Online Library Verified
1 Introduction The analysis, estimation, prediction, and interaction of hydrological features have long attracted attention in hydrology, water resources, and related earth and environmental sciences. Key areas of interest include soil properties, forest cover types, climate change, and surface and groundwater dynamics (Allan et al., 2020; Best, 2019; Gleeson et al., 2020; Richardson et al., 2024; Vereecken et al., 2022; Zhang et al., 2017).
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