基本信息
浏览量:36
职业迁徙
个人简介
Brian Quanz received the BS degree from the Electrical and Computer Engineering Department, University of Illinois at Urbana-Champaign in 2007. He is working toward the PhD degree in the Department of Electrical Engineering and Computer Science at the University of Kansas. His research interests include transfer learning, semi-supervised learning, and learning with low-quality data. He is a student member of the IEEE.
研究兴趣
论文共 36 篇作者统计合作学者相似作者
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Rares Cristian, Pavithra Harsha, Clemente Ocejo,Georgia Perakis,Brian Quanz, Ioannis Spantidakis, Hamza Zerhouni
arxiv(2024)
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Pavithra Harsha,Shivaram Subramanian, Ali Koc, Mahesh Ramakrishna,Brian Quanz, Dhruv Shah,Chandra Narayanaswami
CoRR (2023)
Shungo Miyabe,Brian Quanz, Noriaki Shimada,Abhijit Mitra, Takahiro Yamamoto,Vladimir Rastunkov, Dimitris Alevras,Mekena Metcalf, Daniel J. M. King, Mohammad Mamouei, Matthew D. Jackson, Martin Brown,Philip Intallura,Jae-Eun Park
arxiv(2023)
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CoRR (2023): 1006-1011
Proceedings of the AAAI Conference on Artificial Intelligenceno. 6 (2023): 7253-7260
IJCAI 2022pp.4929-4935, (2022)
SSRN Electronic Journal (2022)
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作者统计
#Papers: 36
#Citation: 480
H-Index: 11
G-Index: 21
Sociability: 6
Diversity: 1
Activity: 1
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