Results 61 to 70 of about 3,213,103 (353)

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures

Entropy, 2021
Uncertainty quantification for complex deep learning models is increasingly important as these techniques see growing use in high-stakes, real-world settings.
Benjamin Kompa, Jasper Snoek, Andrew L. Beam   +2 more
doaj   +1 more source

Automated 3D cytoplasm segmentation in soft X-ray tomography

iScience
Summary: Cells’ structure is key to understanding cellular function, diagnostics, and therapy development. Soft X-ray tomography (SXT) is a unique tool to image cellular structure without fixation or labeling at high spatial resolution and throughput ...
Ayse Erozan, Philipp D. Lösel, Vincent Heuveline, Venera Weinhardt   +3 more
doaj   +1 more source

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE

Frontiers in Computational Neuroscience, 2017
Repeated, precise sequences of spikes are largely considered a signature of activation of cell assemblies. These repeated sequences are commonly known under the name of spatio-temporal patterns (STPs).
Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Emiliano Torre, Dominik M. Endres, Sonja Grün, Sonja Grün   +6 more
doaj   +1 more source

STRUCTURING UNCERTAINTY MANAGEMENT FOR ENERGY SAVINGS CALCULATIONS

South African Journal of Industrial Engineering, 2019
South Africa has committed itself to reducing its greenhouse gas emissions. A key strategy to minimise the greenhouse gas intensity involves using incentivised energy efficiency initiatives.
Johnson, Kristin , Hamer, Waldt , Vosloo, Jan   +2 more
doaj   +1 more source

Inverse problems and uncertainty quantification [PDF]

, 2013
In a Bayesian setting, inverse problems and uncertainty quantification (UQ) - the propagation of uncertainty through a computational (forward) model - are strongly connected.
Litvinenko, Alexander, Matthies, Hermann G.   +1 more
core   +2 more sources

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) [PDF]

Geoscientific Model Development, 2020
Geological uncertainty quantification is critical to subsurface modeling and prediction, such as groundwater, oil or gas, and geothermal resources, and needs to be continuously updated with new data.
Z. Yin, S. Strebelle, J. Caers
doaj   +1 more source

A Novel Approach to Uncertainty Quantification in Groundwater Table Modeling by Automated Predictive Deep Learning

Natural Resources Research, 2022
Uncertainty quantification (UQ) is an important benchmark to assess the performance of artificial intelligence (AI) and particularly deep learning ensembled-based models.
Abbas Abbaszadeh Shahri, Chunling Shan, Stefan Larsson   +2 more
semanticscholar   +1 more source

Optimal Uncertainty Quantification [PDF]

, 2010
We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront.
McKerns, M., Ortiz, M., Owhadi, H., Scovel, C., Sullivan, T. J.   +4 more
core  

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

, 2018
A variety of methods is available to quantify uncertainties arising with\-in the modeling of flow and transport in carbon dioxide storage, but there is a lack of thorough comparisons.
Barth, Andrea, Franzelin, Fabian, Haasdonk, Bernard, Kröker, Ilja, Köppel, Markus, Nowak, Wolfgang, Oladyshkin, Sergey, Pflüger, Dirk, Rohde, Christian, Santin, Gabriele, Wittwar, Dominik   +10 more
core   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source