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ORCIDJoshua Silbermann
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- affiliation: Johns Hopkins University Applied Physics Laboratory, USA
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2020 – today
- 2023
[j2]Joseph Maurio, Paul Wood, Sebastián A. Zanlongo, Josh Silbermann, Tamim Sookoor
, Alberto Lorenzo, Randall Sleight, James Rogers, Daniel Muller, Noah Armiger, Christopher A. Rouff, Lanier A. Watkins:
Agile services and analysis framework for autonomous and autonomic critical infrastructure. Innov. Syst. Softw. Eng. 19(2): 145-156 (2023)- 2022
- [c3]Ryan Silva, Cameron Hickert, Nicolas R. Sarfaraz, Jeff Brush, Josh Silbermann, Tamim Sookoor:
AlphaSOC: Reinforcement Learning-based Cybersecurity Automation for Cyber-Physical Systems. ICCPS 2022: 290-291 - 2021
- [c2]Lanier A. Watkins, Nick Sarfaraz, Sebastián A. Zanlongo, Joshua Silbermann, Tyler A. Young, Randall Sleight:
An Investigative Study Into An Autonomous UAS Traffic Management System For Congested Airspace Safety. ICC Workshops 2021: 1-6 - 2020
- [j1]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. J. Artif. Intell. Res. 69: 1165-1201 (2020)
2010 – 2019
- 2018
- [c1]Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann:
Interpretable Categorization of Heterogeneous Time Series Data. SDM 2018: 216-224 - [i2]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. CoRR abs/1811.02188 (2018) - 2017
- [i1]Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann:
Interpretable Categorization of Heterogeneous Time Series Data. CoRR abs/1708.09121 (2017)
Coauthor Index
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