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Tblformer：A Runoff Data Interpolation Method Based on Bi-Lstm and Transformer

https://doi.org/10.2139/ssrn.5339592
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Identification and Regionalization of Streamflow Routing Parameters Using Machine Learning for the HLM Hydrological Model in Iowa
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Evaluation of imputation techniques for infilling missing daily rainfall records on river basins in Ghana
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Sequential Imputation of Missing Spatio-Temporal Precipitation Data Using Random Forests
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Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region)
inferredcites →https://doi.org/10.48550/arxiv.1410.2596openalex-snapshot
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
inferredcites →https://doi.org/10.48550/arxiv.1907.04155openalex-snapshot
GP-VAE: Deep Probabilistic Time Series Imputation
inferredcites →https://doi.org/10.48550/arxiv.2106.13008openalex-snapshot
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
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A national-scale hybrid model for enhanced streamflow estimation – consolidating a physically based hydrological model with long short-term memory (LSTM) networks
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