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Publication | Type | Year |
---|---|---|
Detection of extreme events in turbulent flowsPerspectives on Turbulence
|
Abstract – 2018 Abstract | 2018 |
Embedding Python for In-Situ Analysis |
SAND Report – 2018 SAND Report | 2018 |
Anomaly detection in scientific data using joint statisticalArXiv |
Journal Article – 2018 Journal Article | 2018 |
In-Situ Machine Learning for Intelligent Data Capture in HPC SimulationsCIS External Advisory Board Meeting |
Conference Paper – 2018 Conference Paper | 2018 |
Higher Order Joint Moment Tensor DecompositionSIAM Conference on Parallel Processing for Scientific Computing |
Conference Paper – 2018 Conference Paper | 2018 |
Event Detection In Multi-variate Scientific Simulations Using Feature Anomaly MetricsSIAM Conference on Parallel Processing for Scientific Computing (PP18) |
Conference Paper – 2018 Conference Paper | 2018 |
Embedding Python for In-Situ AnalysisIn Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization |
Conference Paper – 2017 Conference Paper | 2017 |
Using Feature Importance Metrics to Detect Events of Interest in Scientific Computing ApplicationsKdd 2017 |
Conference Paper – 2017 Conference Paper | 2017 |
Document Title | Type | Year |