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Gyemin Lee
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2020 – today
- 2023
- [j11]JoonHo Lee, Gyemin Lee
:
Unsupervised domain adaptation based on the predictive uncertainty of models. Neurocomputing 520: 183-193 (2023) - [j10]JoonHo Lee, Gyemin Lee
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. Neural Networks 161: 682-692 (2023) - [c11]Hyunwoong Pyun, Wonseok (Eric) Jang, Gyemin Lee, Yoonji Ryu, Hui Hwang, Jaehyun Jeong:
Determinants of Esports Highlight Viewership: The Case of League of Legends Champions Korea. HICSS 2023: 3912-3920 - 2022
- [i2]Joonho Lee, Gyemin Lee
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. CoRR abs/2208.14888 (2022) - [i1]Joonho Lee, Gyemin Lee
Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models. CoRR abs/2211.08866 (2022) - 2021
- [j9]Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott:
Domain Generalization by Marginal Transfer Learning. J. Mach. Learn. Res. 22: 2:1-2:55 (2021) - 2020
- [c10]Hansol Lee, Gyemin Lee
Hierarchical Model For Long-Length Video Summarization With Adversarially Enhanced Audio/Visual Features. ICIP 2020: 723-727 - [c9]Joonho Lee
Model Uncertainty for Unsupervised Domain Adaptation. ICIP 2020: 1841-1845
2010 – 2019
- 2019
- [c8]Hansol Lee, Gyemin Lee
Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual Features. ICCV Workshops 2019: 3727-3731 - 2015
- [j8]Gyemin Lee
Hierarchical Clustering Using One-Class Support Vector Machines. Symmetry 7(3): 1164-1175 (2015) - 2013
- [j7]Gyemin Lee
Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method. J. Am. Medical Informatics Assoc. 20(4): 778-786 (2013) - 2012
- [j6]Gyemin Lee
EM algorithms for multivariate Gaussian mixture models with truncated and censored data. Comput. Stat. Data Anal. 56(9): 2816-2829 (2012) - [c7]Chih-Chun Chia, Zahi N. Karam, Gyemin Lee
Improving surgical models through one/two class learning. EMBC 2012: 5098-5101 - [c6]Gyemin Lee
Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method. HISB 2012: 31 - [c5]Gyemin Lee
Adapting Surgical Models to Individual Hospitals Using Transfer Learning. ICDM Workshops 2012: 57-63 - [c4]Gyemin Lee, Lloyd Stoolman, Clayton Scott:
Transfer Learning for Auto-gating of Flow Cytometry Data. ICML Unsupervised and Transfer Learning 2012: 155-166 - 2011
- [j5]Gyemin Lee
Statistical file matching of flow cytometry data. J. Biomed. Informatics 44(4): 663-676 (2011) - [c3]Gilles Blanchard, Gyemin Lee, Clayton Scott:
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample. NIPS 2011: 2178-2186 - 2010
- [j4]Gilles Blanchard, Gyemin Lee, Clayton Scott:
Semi-Supervised Novelty Detection. J. Mach. Learn. Res. 11: 2973-3009 (2010) - [j3]Gyemin Lee
Nested support vector machines. IEEE Trans. Signal Process. 58(3): 1648-1660 (2010)
2000 – 2009
- 2008
- [c2]Gyemin Lee
Nested support vector machines. ICASSP 2008: 1985-1988 - 2007
- [c1]Gyemin Lee
The One Class Support Vector Machine Solution Path. ICASSP (2) 2007: 521-524 - 2000
- [j2]Soohan Ahn, Gyemin Lee
Analysis of the M/D/1-type queue based on an integer-valued first-order autoregressive process. Oper. Res. Lett. 27(5): 235-241 (2000) - [j1]Gyemin Lee, Jongwoo Jeon:
A new approach to an N/G/1 queue. Queueing Syst. Theory Appl. 35(1-4): 317-322 (2000)
Coauthor Index
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