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Seungyeon Lee 0002
Person information
- affiliation: Ohio State University, OH, USA
Other persons with the same name
- Seungyeon Lee — disambiguation page
- Seungyeon Lee 0001 — Soongsil University, Korea
- Seungyeon Lee 0003 — Sogang University, Seoul, Korea
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2020 – today
- 2024
- [j5]Seungyeon Lee, Minyoung Park, Younggeun Ahn, Gyeong Bok Jung, Dohyun Kim
:
Analysis of tabular data based on graph neural network using supervised contrastive loss. Neurocomputing 570: 127137 (2024) - [i3]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Lang Li, Ping Zhang:
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification. CoRR abs/2401.12369 (2024) - [i2]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder. CoRR abs/2401.17027 (2024) - 2023
- [j4]Seungyeon Lee
Stable clinical risk prediction against distribution shift in electronic health records. Patterns 4(9): 100828 (2023) - [c2]Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. ICDM 2023: 1079-1084 - [i1]Seungyeon Lee, Thai-Hoang Pham, Zhao Cheng, Ping Zhang:
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging. CoRR abs/2312.03196 (2023) - 2022
- [j3]Seungyeon Lee, Dohyun Kim:
Deep learning based recommender system using cross convolutional filters. Inf. Sci. 592: 112-122 (2022) - [c1]Seungyeon Lee, Thai-Hoang Pham, Ping Zhang:
DREAM: Domain Invariant and Contrastive Representation for Sleep Dynamics. ICDM 2022: 1029-1034 - 2021
- [j2]Seungyeon Lee, Eunji Jo, Sangheum Hwang, Gyeong Bok Jung, Dohyun Kim:
Similarity based Deep Neural Networks. Int. J. Fuzzy Log. Intell. Syst. 21(3): 205-212 (2021) - 2020
- [j1]Minyoung Park, Seungyeon Lee, Sangheum Hwang
Additive Ensemble Neural Networks. IEEE Access 8: 113192-113199 (2020)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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