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个人简介
Stephen Adams (Associate Member, IEEE) received the M.S. degree in statistics and the Ph.D. degree in systems engineering from the University of Virginia, Charlottesville, VA, USA, in 2010 and 2015, respectively.
He is currently an Associate Research Professor with the Virginia Tech National Security Institute, Blacksburg, VA. He has experience developing and implementing numerous types of machine learning and artificial intelligence algorithms. His research has been applied to several domains including activity recognition, prognostics and health management, psychology, cybersecurity, data trustworthiness, natural language processing, and predictive modeling of destination given user geo-information data. His research interests include applications of machine learning, artificial intelligence in real-world systems, feature selection, machine learning with cost, transfer learning, reinforcement learning, and probabilistic modeling of systems.
研究兴趣
论文共 106 篇作者统计合作学者相似作者
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Statistics in medicine (2024)
Hydrology and earth system sciencesno. 16 (2023): 3021-3039
Artificial intelligence reviewno. 6 (2022): 4307-4346
2022 IEEE INTERNATIONAL CONFERENCE ON OMNI-LAYER INTELLIGENT SYSTEMS (IEEE COINS 2022)pp.140-145, (2022)
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作者统计
#Papers: 106
#Citation: 1242
H-Index: 21
G-Index: 32
Sociability: 6
Diversity: 0
Activity: 2
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