Results 111 to 120 of about 10,063 (188)

Site-of-Metabolism Prediction with Aleatoric and Epistemic Uncertainty Quantification. [PDF]

J Chem Inf Model
Jacob RA, Wieder O, Chen Y, Mazzolari A, Bergner A, Schleifer KJ, Kirchmair J.   +6 more
europepmc   +1 more source

Identifying key uncertainties in energy transitions with a Puerto Rico case study. [PDF]

Nat Commun
Khayambashi K, Clarens AF, Shobe WM, Alemazkoor N.   +3 more
europepmc   +1 more source

Probabilistic machine learning for noisy labels in Earth observation. [PDF]

Sci Rep
Kondylatos S, Bountos NI, Prapas I, Zavras A, Camps-Valls G, Papoutsis I.   +5 more
europepmc   +1 more source

Evidential deep learning for interatomic potentials. [PDF]

Nat Commun
Xu H, Cui T, Tang C, Ma J, Zhou D, Li Y, Gao X, Gong X, Ouyang W, Zhang S, Su M.   +10 more
europepmc   +1 more source

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]

Diagn Progn Res
Whittle R, Riley RD, Archer L, Collins GS, Legha A, Snell KI, Ensor J.   +6 more
europepmc   +1 more source

Quantifying Epistemic Uncertainty in Multimodal Long-Tailed Classification: A Belief Entropy-Based Evidential Fusion Framework. [PDF]

Entropy (Basel)
Zhu G.
europepmc   +1 more source

Aleatoric Nature of Dramatic Works

The publications of the MultiScience - XXXI. MicroCAD International Scientific Conference, 2017
openaire   +1 more source

Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation-Part 2: Uncertainty quantification and sensitivity analysis. [PDF]

APL Bioeng
Scuoppo R, Catalano C, Turgut T, Götzen N, Cannata S, Gentile G, Gandolfo C, Pasta S.   +7 more
europepmc   +1 more source

Combining Bayesian and Evidential Uncertainty Quantification for Improved Bioactivity Modeling. [PDF]

J Chem Inf Model
Khalil B, Schweighofer K, Dyubankova N, van Westen GJP, van Vlijmen H.   +4 more
europepmc   +1 more source

Uncertainty-aware and causal test-time adaptive foundation model for robust colorectal cancer pathology diagnosis. [PDF]

NPJ Digit Med
Lou S, Mo G, Zhang X, Wang H, Li H, Ma K, Li H, Zhang X, Yan M, Xie H, Huang Y, Li C, Ma S, Meng H, Cao L, Han P.   +15 more
europepmc   +1 more source