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Center for Computing Research

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Publication	Type	Year
Using Uncertainty and Out-of-distribution Detection to Identify Unreliable Predictions Artificial Intelligence and Statistics 2022 Michael Christopher Darling, Justin E Doak, Richard V. Field, Mark A. Smith, David John Stracuzzi	Abstract – 2021 Abstract	2021
Optimizing Machine Learning Predictions with Prediction Uncertainty Sandia Academic Alliance/ UT Austin Student LDRD Poster Session Zachary J. Smith, Michael Christopher Darling, David John Stracuzzi, Justin E Doak, Mark A. Smith, J. Eric Bickel https://www.osti.gov/search/identifier:1860307	Conference Poster – 2021 Conference Poster	2021
Self-updating Models with Error Remediation for Bandwidth-constrained Environments 2019 IEEE Space Computing Conference (SCC) Justin E Doak, Joey Burton Ingram, Michael Reed Smith, Craig Michael Vineyard https://www.osti.gov/search/identifier:1641249	Conference Paper – 2019 Conference Paper	2019
Self-updating learning models with error correction remediation for bandwidth- constrained environments IEEE Space Computing Conference (SCC) Michael Reed Smith, Justin E Doak, Joey Burton Ingram, Craig Michael Vineyard	Abstract – 2019 Abstract	2019
Dynamic Analysis of Executables to Detect and Characterize Malware IEEE International Conference on Machine Learning and Applications (IEEE ICMLA) Michael Reed Smith, Joey Burton Ingram, Christopher Lamb, Timothy J. Draelos, Justin E Doak, James Bradley Aimone, Conrad D. James https://www.osti.gov/search/identifier:1806881	Conference Paper – 2018 Conference Paper	2018
Tracking Cyber Adversaries with Adaptive Indicators of Compromise 4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY Justin E Doak, Joey Burton Ingram, Samuel A. Mulder, John H. Naegle, Jonathan A. Cox, James Bradley Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett https://www.osti.gov/search/identifier:1486988	Conference Paper – 2017 Conference Paper	2017
Tracking Cyber Adversaries with Adaptive Indicators of Compromise 4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY Justin E Doak, Justin E Doak, Joey Burton Ingram, Joey Burton Ingram, Samuel A. Mulder, Samuel A. Mulder, John H. Naegle, John H. Naegle, Jonathan A. Cox, Jonathan A. Cox, James Bradley Aimone, James Bradley Aimone, Kevin R. Dixon, Kevin R. Dixon, Conrad D. James, Conrad D. James, David R. Follet, David R. Follet https://www.osti.gov/search/identifier:1511128	Conference Paper – 2017 Conference Paper	2017
Hardware Acceleration of Adaptive Neural Algorithms (HAANA) Internal Sandia Labs Seminar - Dean Seminar Conrad D. James, James Bradley Aimone, John H. Naegle, Steven J. Plimpton, Matthew Marinella, Justin E Doak, David (Lewis Rhodes Labs) Follett	Abstract – 2015 Abstract	2015
Can we identify spear phishing targets before the email is sent? National Labs Information Technology (NLIT) Summit Carol L. Meincke, Andrew T. Wilson, Justin E Doak https://www.osti.gov/search/identifier:1115637	Conference Paper – 2013 Conference Paper	2013
Document Title	Type	Year