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Li, Pin-Ching, Dey, Sayan, Merwade, Venkatesh (2025) Analyzing the effects of data splitting and covariate shift on machine learning based streamflow prediction in ungauged basins. Journal of Hydrology, 653. doi:10.1016/j.jhydrol.2025.132731

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Reference TypeJournal (article/letter/editorial)
TitleAnalyzing the effects of data splitting and covariate shift on machine learning based streamflow prediction in ungauged basins
JournalJournal of Hydrology
AuthorsLi, Pin-ChingAuthor
Dey, SayanAuthor
Merwade, VenkateshAuthor
Year2025 (June)Volume653
PublisherElsevier BV
DOIdoi:10.1016/j.jhydrol.2025.132731Search in ResearchGate
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Mindat Ref. ID17966992Long-form Identifiermindat:1:5:17966992:7
GUID0
Full ReferenceLi, Pin-Ching, Dey, Sayan, Merwade, Venkatesh (2025) Analyzing the effects of data splitting and covariate shift on machine learning based streamflow prediction in ungauged basins. Journal of Hydrology, 653. doi:10.1016/j.jhydrol.2025.132731
Plain TextLi, Pin-Ching, Dey, Sayan, Merwade, Venkatesh (2025) Analyzing the effects of data splitting and covariate shift on machine learning based streamflow prediction in ungauged basins. Journal of Hydrology, 653. doi:10.1016/j.jhydrol.2025.132731
In(2025) Journal of Hydrology Vol. 653. Elsevier BV

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