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

I tiakina i:

Ngā taipitopito rārangi puna kōrero
I whakaputaina i:	Water Resources Research vol. 61, no. 10 (Oct 1, 2025)
Kaituhi matua:	Yin, Xiaoran
Ētahi atu kaituhi:	Shu, Longcang, Wang, Zhe, Zhou, Long, Niu, Shuyao, Ren, Huazhun, Liu, Bo, Lu, Chengpeng
I whakaputaina:	John Wiley & Sons, Inc.
Ngā marau:	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
Urunga tuihono:	Citation/Abstract Full Text Full Text - PDF
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Me noho koe te mea tuatahi ki te waiho tākupu!