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ORCIDMark M. Bailey
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- Mark Bailey
- Mark W. Bailey — University of Virginia, Charlottesville, USA
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2020 – today
- 2024
[j1]Zong-Zhi Lin
, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian:
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6911-6923 (2024)- 2023
- [i6]Mark M. Bailey:
Could AI be the Great Filter? What Astrobiology can Teach the Intelligence Community about Anthropogenic Risks. CoRR abs/2305.05653 (2023) - [i5]Ross Gruetzemacher, Alan Chan, Kevin Frazier, Christy Manning, Stepán Los, James Fox, José Hernández-Orallo, John Burden, Matija Franklin, Clíodhna Ní Ghuidhir, Mark M. Bailey, Daniel Eth, Toby D. Pilditch, Kyle A. Kilian:
An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI. CoRR abs/2310.14455 (2023) - 2022
- [i4]Thomas D. Pike, Robert Colter, Mark M. Bailey, Jackie Kazil, John Speed Meyers:
Social Networks as a Collective Intelligence: An Examination of the Python Ecosystem. CoRR abs/2201.06040 (2022) - [i3]Mark M. Bailey:
Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive Analysis. CoRR abs/2210.05760 (2022) - [i2]Kyle A. Kilian, Christopher J. Ventura, Mark M. Bailey:
Examining the Differential Risk from High-level Artificial Intelligence and the Question of Control. CoRR abs/2211.03157 (2022) - [i1]Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian:
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System. CoRR abs/2211.03933 (2022)
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