A Metric-Driven Evaluation Framework for Remaining Useful Life Prognosis with Quantified Uncertainty. [PDF]
Vashishtha G, Chauhan S, Ertarğın M.
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Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reduction. [PDF]
Li H +10 more
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A Multitask Active Learning Framework with Probabilistic Modeling for Multi-Species Acute Toxicity Prediction. [PDF]
Han T +7 more
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Validation of conformal prediction in cervical atypia classification. [PDF]
Hagos MT +8 more
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Uncertainty-aware genomic deep learning with knowledge distillation. [PDF]
Zhou J +4 more
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Bayesian deep learning for probabilistic aquifer vulnerability and uncertainty prediction. [PDF]
Mengistu TD, Kim MG, Chung IM, Chang SW.
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Calibrated Uncertainty Estimation for Soil Organic Carbon from Raman Spectra. [PDF]
Wiens JK, Solomatova N, Shokatian S.
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Aleatoric and Epistemic Uncertainty in Image Segmentation
Image segmentation, the pixelwise classification of objects, is an integral part of the computer vision toolbox and an indispensable method in many applications, such as the analysis of medical images and autonomous driving. The safe deployment of such systems in practice requires that they can express uncertainty about their predictions, to then allow
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Enhancing liver fibrosis measurement: Deep learning and uncertainty analysis across multi-center cohorts. [PDF]
Wojciechowska M +6 more
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