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Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Ti...
Multivariate time series are used in a variety of real-world applications, including meteorology, financial marketing, health care, load forecasting and artificial intelligence... -
Bayesian neural networks for predicting uncertainty in full-field material re...
The dataset is used for stress field prediction and uncertainty quantification for diverse materials microstructures. -
MICCAI-QUBIQ 2020 challenge
Medical image segmentation dataset with multiple annotations and uncertainty quantification -
2D Subject-Specific Computational Head Model
A 2D subject-specific computational head model of a 31-year-old male subject, derived from magnetic resonance imaging (MRI) data, with nonlinear visco-hyperelastic material... -
Leibniz University Hannover
Imported
Global Pattern Search for alpha-level Optimisation
The Global Pattern Search for alpha-level Optimisation (aGPS) is a global optimisation approach explicitly designed for efficient and user-friendly alpha-level optimisations. It...
