Publications
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Publication | Type | Year |
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Using Uncertainty and Out-of-distribution Detection to Identify Unreliable PredictionsArtificial Intelligence and Statistics 2022
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Abstract – 2021 Abstract | 2021 |
SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning |
SAND Report – 2021 SAND Report | 2021 |
Partitioning Communication Streams into Graph SnapshotsLab Research Technical Exchange |
Conference Presentation – 2021 Conference Presentation | 2021 |
SAGE Advice? Assessing the Accuracy of ML Explanations for Model CredibilityNIST AI Assurance Leadership Team
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Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Quantifying Graph Uncertainty from Communication Data |
SAND Report – 2020 SAND Report | 2020 |
Assessing Global Sensitivity Analysis for Credibility in Machine Learning ExplainabilitySAMSIGlobal Sensitivity Analysis Working Group Meeting |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
Social-Media Network Collection ProblemsWorkshop on Incomplete Network Data |
Conference Paper – 2016 Conference Paper | 2016 |
Introduction to Uncertainty AnalysisUncertainty Quantification in Computational Fluid Dynamics - STO-AVT-235 |
Presentation (non-conference) – 2014 Presentation (non-conference) | 2014 |
Statistical surrogate models for prediction of high-consequence climate change |
SAND Report – 2011 SAND Report | 2011 |
Computational thermal, chemical, fluid and solid mechanics for geosystems management |
SAND Report – 2011 SAND Report | 2011 |
Uncertainty Quantification In LargeComputational Engineering ModelsAIAA Structures, Structural Dynamics, and Materials Conference
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Conference Paper – 2001 Conference Paper | 2001 |
Uncertainty Quantification in Large Computational Engineering ModelsAIAA Structures, Structural Dynamics, and Materials Conference
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Other Publication – 2001 Other Publication | 2001 |
Document Title | Type | Year |