A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 3: continuous outcomes. [PDF]
Whittle R +6 more
europepmc +1 more source
Quantifying Epistemic Uncertainty in Multimodal Long-Tailed Classification: A Belief Entropy-Based Evidential Fusion Framework. [PDF]
Zhu G.
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Evidential deep learning for interatomic potentials. [PDF]
Xu H +10 more
europepmc +1 more source
Site-of-Metabolism Prediction with Aleatoric and Epistemic Uncertainty Quantification. [PDF]
Jacob RA +6 more
europepmc +1 more source
Probabilistic machine learning for noisy labels in Earth observation. [PDF]
Kondylatos S +5 more
europepmc +1 more source
Identifying key uncertainties in energy transitions with a Puerto Rico case study. [PDF]
Khayambashi K +3 more
europepmc +1 more source
A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder. [PDF]
Bargagna F +9 more
europepmc +1 more source
Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling. [PDF]
Khalil B +4 more
europepmc +1 more source
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis. [PDF]
Bench C +9 more
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