Credibility assessment of patient-specific modeling in transcatheter aortic valve implantation-Part 2: Uncertainty quantification and sensitivity analysis. [PDF]
Scuoppo R +7 more
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Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification. [PDF]
Kruse M +5 more
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Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market. [PDF]
von Borries K +5 more
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Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support. [PDF]
Blattmann M +4 more
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Towards global reaction feasibility and robustness prediction with high throughput data and bayesian deep learning. [PDF]
Zhong H +14 more
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Residual bayesian attention networks for uncertainty quantification in regression tasks. [PDF]
Chen Y, Guan W, Azzam R.
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GAME-YOLO: Global Attention and Multi-Scale Enhancement for Low-Visibility UAV Detection with Sub-Pixel Localization. [PDF]
Di R, Fan H, Ma Y, Wang J, Qian R.
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Uncertainty-Driven Global-Local Mamba with UNet for gastric cancer histopathological image classification. [PDF]
Li G.
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Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV <i>M</i><sup><i>pro</i></sup> Inhibition: Highlighting the Potential of Bayesian Neural Networks. [PDF]
Doering NP +3 more
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Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity prediction. [PDF]
Rayka M, Naghavi SS.
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