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James Holt is a researcher at the Laboratory for Physical Sciences, where he focuses on applying AI and ML techniques to address cybersecurity problems. His research interests include malware detection, autonomous cyberdefenses, processing streaming data, and anomaly detection. Holt received a B.A. in computer science and mathematics from East Carolina University, Greenville, North Carolina. He is a member of the American Association for Artificial Intelligence. Contact him at holt@lps.umd.edu.
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论文共 27 篇作者统计合作学者相似作者
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Digital threats (2023)
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ECAI 2023pp.1930-1937, (2023)
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Conference on Applied Machine Learning in Information Securitypp.181-192, (2023)
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NeurIPS (2023)
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CoRR (2023)
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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT I (2023): 270-285
Conference on Applied Machine Learning in Information Security (2023): 105-121
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