SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. [PDF]
Yin C +5 more
europepmc +1 more source
Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob +3 more
wiley +1 more source
Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification. [PDF]
Vahdani AM, Faghani S.
europepmc +1 more source
Uncertainty Quantification and Sensitivity Analysis for Non-invasive Model-Based Instantaneous Wave-Free Ratio Prediction. [PDF]
Dalmaso C +3 more
europepmc +1 more source
Uncertainty Quantification for Scale-Space Blob Detection. [PDF]
Parzer F, Kirisits C, Scherzer O.
europepmc +1 more source
Uncertainty quantification in neural-network based pain intensity estimation. [PDF]
Ozek B +3 more
europepmc +1 more source
Flow-Based Coronary Artery Bypass Graft Patency Metrics: Uncertainty Quantification Simulations to Guide Development. [PDF]
Drost S, Drost CJ.
europepmc +1 more source
Novel Entropy for Enhanced Thermal Imaging and Uncertainty Quantification. [PDF]
Ayunts H, Grigoryan A, Agaian S.
europepmc +1 more source
Robust uncertainty quantification in popular estimators of the instantaneous reproduction number
Steyn N, Parag KV.
europepmc +1 more source

