Publications
Publication | Type | Year |
---|---|---|
Going Beyond Signature Malware Detection by Learning BehaviorsMalware Technical Exchange Meeting
|
Conference Presentation – 2021 Conference Presentation | 2021 |
Mind the Gap: On Bridging the Semantic Gap Between Machine Learning and Malware Analysis13th ACM Workshop on Artificial Intelligence and Security |
Conference Presentation – 2020 Conference Presentation | 2020 |
MalGen: On Bridging the Semantic Gap between Machine Learning and Malware AnalysisSandia Machine Learning and Deep Learning Workshop |
Conference Paper – 2020 Conference Paper | 2020 |
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis13th ACM Workshop on Artificial Intelligence and Security |
Conference Paper – 2020 Conference Paper | 2020 |
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information SecurityThe ACM Conference on Computer and Communications Security |
Conference Paper – 2020 Conference Paper | 2020 |
In-Situ Machine Learning for Intelligent Data Capture on Exascale PlatformsArtificial Intelligence for Robust Engineering & Science |
Presentation (non-conference) – 2020 Presentation (non-conference) | 2020 |
The Potential of Integrated Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate ModelingAmerican Geophysical Union Fall Conference 2019 |
Conference Paper – 2019 Conference Paper | 2019 |
Data Analytics are Powerful -- Handle with CareChesapeake Large-Scale Analytics Conference |
Conference Paper – 2019 Conference Paper | 2019 |
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms2019 Cis Erb |
Presentation (non-conference) – 2019 Presentation (non-conference) | 2019 |
The Potential of In-Situ Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate ModelingAmerican Geophysical Union Fall Meeting 2019
|
Abstract – 2019 Abstract | 2019 |
A Framework for In-Situ Anomaly Detection in HPC EnvironmentsLdav 2019 |
Conference Paper – 2019 Conference Paper | 2019 |
Adverse Event Prediction Using Graph-Augmented Temporal Analysis: Final Report |
SAND Report – 2018 SAND Report | 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 |
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 |
PANTHER: Trajectory Analysis |
SAND Report – 2015 SAND Report | 2015 |
Characterizing and Detecting Aircraft Identity and DiversionThe 19th Annual Signal & Image Sciences Workshop |
Conference Paper – 2015 Conference Paper | 2015 |
Machine Learning in the Presence of Adversarial Tampering, or, What To Do When Your Truth Data Lies?ASCR Machine Learning for Scientific Discovery Workshop
|
Abstract – 2014 Abstract | 2014 |
Advanced ALE Remeshing Methods in ALEGRACIS External Review
|
Other Publication – 2013 Other Publication | 2013 |
Multilinear algebra for analyzing data with multiple linkagesDOE Applied Mathematics Principal Investigators Meeting |
Conference Paper – 2009 Conference Paper | 2009 |
Tensor Decompositions for Analyzing Multi-link GraphsSIAM Conference on Parallel Processing for Scientific Computing |
Conference Paper – 2008 Conference Paper | 2008 |
Multilinear algebra for analyzing data with multiple linkages |
SAND Report – 2006 SAND Report | 2006 |
Document Title | Type | Year |