Active Learning for Alert Triage. - Justin E. Doak; Joe Ingram; Jeffery Shelburg; Joshua Johnson; Brandon Rohrer (ICMLA (2), 2013)

Using Bipartite Anomaly Features for Cyber Security Applications. - Eric L. Goodman; Joe Ingram; Shawn Martin; Dirk Grunwald (ICMLA, 2015)

Tracking Cyber Adversaries with Adaptive Indicators of Compromise. - Justin E. Doak; Joe B. Ingram; Sam A. Mulder; John H. Naegle; Jonathan A. Cox; James B. Aimone; Kevin R. Dixon; Conrad D. James; David R. Follett (CoRR, 2017)

Dynamic Analysis of Executables to Detect and Characterize Malware. - Michael R. Smith 002; Joe Ingram; Christopher C. Lamb; Timothy Draelos; Justin E. Doak; James B. Aimone; Conrad D. James (ICMLA, 2018)

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis. - Michael R. Smith 002; Nicholas T. Johnson; Joe B. Ingram; Armida J. Carbajal; Bridget I. Haus; Eva Domschot; Ramyaa; Christopher C. Lamb; Stephen J. Verzi; W. Philip Kegelmeyer (AISec@CCS, 2020)

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security. - Michael R. Smith 002; Nicholas T. Johnson; Joe B. Ingram; Armida J. Carbajal; Ramyaa Ramyaa; Evelyn Domschot; Christopher C. Lamb; Stephen J. Verzi; W. Philip Kegelmeyer (CoRR, 2020)

Self-Updating Models with Error Remediation. - Justin E. Doak; Michael R. Smith 002; Joey B. Ingram (CoRR, 2020)

Trajectory Planning With Deep Reinforcement Learning in High-Level Action Spaces. - Kyle R. Williams; Rachel Schlossman; Daniel Whitten; Joe Ingram; Srideep Musuvathy; James Pagan; Kyle A. Williams; Sam Green; Anirudh Patel; Anirban Mazumdar; Julie Parish (IEEE Trans. Aerosp. Electron. Syst., 2023)