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个人简介
Jennifer G. Dy is a Professor at the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, where she first joined the faculty in 2002. Her research is in machine learning, data mining and their application to biomedical imaging, health, science and engineering, with a particular focus on clustering, multiple clusterings, dimensionality reduction, feature selection and sparse methods, large margin classifiers, learning from the crowds and Bayesian nonparametric models. She received an NSF Career award in 2004. She has served as an associate editor for Machine Learning and Data Mining and Knowledge Discovery, an editorial board member for JMLR, organizing/senior/program committee member for ICML, ACM SIGKDD, AAAI, IJCAI, AISTATS and SIAM SDM, and was program chair for SIAM SDM 2013.
研究兴趣
论文共 304 篇科研项目共 8 篇作者统计合作学者相似作者
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Rahul Suryadevara,Andrew Gregory, Robin Lu,Zhonghui Xu,Aria Masoomi,Sharon M. Lutz, Seth Berman, Jeong H. Yun,Aabida Saferali,Craig P. Hersh, Edwin K. Silverman,Jennifer Dy,
medrxiv(2023)
CoRR (2023): 36578-36592
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ICLR 2023 (2023)
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ICLR 2023 (2023)
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Knowl. Inf. Syst.no. 4 (2023): 1627-1656
Batool Salehi, Utku Demir,Debashri Roy, Suyash Pradhan,Jennifer Dy,Stratis Ioannidis,Kaushik Chowdhury
CoRR (2023)
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IEEE Transactions on Pattern Analysis and Machine Intelligenceno. 7 (2023): 9149-9168
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