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| Incremental Value and Interpretability of Radiomics Features of Both Lung and Epicardial Adipose Tissue for Detecting the Severity of COVID-19 Infection | Jan 29, 2023 | severity predictionUncertainty Quantification | —Unverified | 0 |
| Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data | Nov 2, 2017 | Spatio-Temporal ForecastingUncertainty Quantification | —Unverified | 0 |
| DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting | Feb 12, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective | Nov 3, 2023 | Density Estimationquantile regression | —Unverified | 0 |
| A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris Flows | Apr 10, 2025 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification of molecular property prediction using Bayesian neural network models | Nov 19, 2018 | Molecular Property PredictionProperty Prediction | —Unverified | 0 |
| Deep interpretable ensembles | May 25, 2022 | Uncertainty Quantification | —Unverified | 0 |
