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A Study on Loss Function Against Data Imbalance in Deep Learning Correction of Precipitation Forecasts
20/20 checkable references clean · checked 2026-08-27
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The 20 checked references that resolve
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Correcting Coarse‐Grid Weather and Climate Models by Machine Learning From Global Storm‐Resolving Simulations
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An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance
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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
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A Deep Learning Method for Bias Correction of ECMWF 24–240 h Forecasts
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Assessing the Skill of Medium-Range Ensemble Precipitation and Streamflow Forecasts from the Hydrologic Ensemble Forecast Service (HEFS) for the Upper Trinity River Basin in North Texas
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Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics
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A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning
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The 27 references without a DOI — listed, not checked
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no DOI — not checkedEvaluation of the skill of monthly precipitation forecasts from global prediction systems over the Greater Horn of Africa
no DOI — not checkedA simple approach to ordinal classification
no DOI — not checkedDeep learning-based precipitation bias correction approach for Yin-He global spectral model
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no DOI — not checkedA survey of loss funtions for semantic segmentatin
no DOI — not checkedImproving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques
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no DOI — not checkedIntroduction and analysis to frequency or area matching method applied to precipitation forecast bias correction
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no DOI — not checkedImproved Rainfall Prediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region
no DOI — not checkedOrdinal Regression with Multiple Output CNN for Age Estimation
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no DOI — not checkedDistributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity
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no DOI — not checkedAdaptive blending method of radar-based and numerical weather prediction QPFs for urban flood forecasting
no DOI — not checkedA machine learning bias correction method for precipitation corresponding to weather conditions using simple input data
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no DOI — not checkedComparative analysis of precipitation forecasting capabilities of ECMWF and Japan high-resolution models
no DOI — not checkedMachine learning for precipitation forecasts postprocessing: multimodel comparison and experimental investigation
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