SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations
16 references·0 citing·46 second hop
VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations (2021)VECMAtk: a scalable verification, validat…Uncertainty quantification patterns for multiscale models (2021)Uncertainty quantification pa…EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing (2020)EasyVVUQ: A Library for Verif…Building Confidence in Simulation: Applications of EasyVVUQ (2020)Building Confidence in Simula…Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis (2018)Uncertainty Quantification of…Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience (2018)Uncertainpy: A Python Toolbox…Uncertainty Quantification Toolkit (UQTk) (2017)Uncertainty Quantification To…A generalized simulation development approach for predicting refugee destinations (2017)A generalized simulation deve…FabSim: Facilitating computational research through automation on large-scale and distributed e-infrastructures (2016)FabSim: Facilitating computat…OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation (2015)OpenTURNS: An Industrial Soft…A Matlab toolbox for Global Sensitivity Analysis (2015)A Matlab toolbox for Global S…UQLab: A Framework for Uncertainty Quantification in Matlab (2014)UQLab: A Framework for Uncert…Survey and evaluate Uncertainty Quantification Methodologies (2012)Survey and evaluate Uncertain…Assessing the Reliability of Complex Models (2012)Assessing the Reliability of …A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Verification and Validation in Scientific Computing (2010)Verification and Validation i…The Data Uncertainty Engine (DUE): A software tool for assessing and simulating uncertain environmental variables (2006)The Data Uncertainty Engine (…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Most computational hydrology is not reproducible, so is it really science? (2016)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)A mathematical theory of evidence (1977)Stochastic Finite Elements: A Spectral Approach (1991)Verification and Validation in Computational Science and Engineering (1998)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (2019)Modeling, analysis, and optimization under uncertainties: a review (2021)Global sensitivity analysis using polynomial chaos expansions (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)An Introduction to Applied Geostatistics (1991)An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements (1998)Multivariable geostatistics in S: the gstat package (2004)Spatial Data Quality: From Process to Decisions (2010)Thirty Years of Research on Spatial Data Quality: Achievements, Failures, and Opportunities (2010)Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring (2014)Scientific workflow management and the Kepler system (2005)Snakemake—a scalable bioinformatics workflow engine (2012)The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud (2013)Mastering the scales: a survey on the benefits of multiscale computing software (2019)Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit (2021)A theory of migration (1966)Another look at measures of forecast accuracy (2006)Introducing ACLED: An Armed Conflict Location and Event Dataset (2010)How simulation modelling can help reduce the impact of COVID-19 (2020)Artificial Intelligence and Human Rights (2023)Capacitated Mobile Facility Location Problem with Mobile Demand: Efficient Relief Aid Provision to En Route Refugees (2024)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)UQpy: A general purpose Python package and development environment for uncertainty quantification (2020)Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows (2022)1,500 scientists lift the lid on reproducibility (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)When we can trust computers (and when we can't) (2021)Design and Analysis of Computer Experiments (1989)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses (2019)Uncertainty Quantification of NOx and CO Emissions in a Swirl-Stabilized Burner (2019)PyApprox: A software package for sensitivity analysis, Bayesian inference, optimal experimental design, and multi-fidelity uncertainty quantification and surrogate modeling (2023)Imprecise probabilities in engineering analyses (2013)Best Practices for Scientific Computing (2014)
this work references cited by second hop

References

  • 2010Verification and Validation in Scientific Computing1,579 cited
  • 2014UQLab: A Framework for Uncertainty Quantification in Matlab1,018 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2015A Matlab toolbox for Global Sensitivity Analysis655 cited
  • 2015OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation125 cited
  • 2017A generalized simulation development approach for predicting refugee destinations123 cited
  • 2018Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience111 cited
  • 2006The Data Uncertainty Engine (DUE): A software tool for assessing and simulating uncertain environmental variables97 cited
  • 2020EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing54 cited
  • 2016FabSim: Facilitating computational research through automation on large-scale and distributed e-infrastructures38 cited
  • 2020Building Confidence in Simulation: Applications of EasyVVUQ38 cited
  • 2017Uncertainty Quantification Toolkit (UQTk)38 cited
  • 2012Assessing the Reliability of Complex Models35 cited
  • 2018Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

26 cited
  • 2012Survey and evaluate Uncertainty Quantification Methodologies26 cited
  • 2021Uncertainty quantification patterns for multiscale models19 cited
  • Cited by

    No citing works inside the corpus for this window.