Gyemin Lee

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 10

Top Topics

Domain Adaptation

Visual Features

Inherent Uncertainty

Top Venues

Publications

JoonHo Lee, Gyemin Lee
Unsupervised domain adaptation based on the predictive uncertainty of models. Neurocomputing 520 (2023)
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)
JoonHo Lee, Gyemin Lee
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. Neural Networks 161 (2023)
Joonho Lee, Gyemin Lee
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. CoRR (2022)
Joonho Lee, Gyemin Lee
Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models. CoRR (2022)
Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott
Domain Generalization by Marginal Transfer Learning. J. Mach. Learn. Res. 22 (2021)
Hansol Lee, Gyemin Lee
Hierarchical Model For Long-Length Video Summarization With Adversarially Enhanced Audio/Visual Features. ICIP (2020)
Joonho Lee, Gyemin Lee
Model Uncertainty for Unsupervised Domain Adaptation. ICIP (2020)
Hansol Lee, Gyemin Lee
Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual Features. ICCV Workshops (2019)
Gyemin Lee
Hierarchical Clustering Using One-Class Support Vector Machines. Symmetry 7 (3) (2015)
Gyemin Lee, Hitinder S. Gurm, Zeeshan Syed
Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Chih-Chun Chia, Zahi N. Karam, Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed
Improving surgical models through one/two class learning. EMBC (2012)
Gyemin Lee, Lloyd Stoolman, Clayton Scott
Transfer Learning for Auto-gating of Flow Cytometry Data. ICML Unsupervised and Transfer Learning (2012)
Gyemin Lee, Hitinder S. Gurm, Zeeshan Syed
Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method. HISB (2012)
Gyemin Lee, Clayton Scott
EM algorithms for multivariate Gaussian mixture models with truncated and censored data. Comput. Stat. Data Anal. 56 (9) (2012)
Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed
Adapting Surgical Models to Individual Hospitals Using Transfer Learning. ICDM Workshops (2012)
Gyemin Lee, William Finn, Clayton Scott
Statistical file matching of flow cytometry data. J. Biomed. Informatics 44 (4) (2011)
Gilles Blanchard, Gyemin Lee, Clayton Scott
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample. NIPS (2011)
Gyemin Lee, Clayton Scott
Nested support vector machines. IEEE Trans. Signal Process. 58 (3) (2010)
Gilles Blanchard, Gyemin Lee, Clayton Scott
Semi-Supervised Novelty Detection. J. Mach. Learn. Res. 11 (2010)
Gyemin Lee, Clayton Scott
Nested support vector machines. ICASSP (2008)
Gyemin Lee, Clayton Scott
The One Class Support Vector Machine Solution Path. ICASSP (2) (2007)
Gyemin Lee, Jongwoo Jeon
A new approach to an N/G/1 queue. Queueing Syst. Theory Appl. 35 (1-4) (2000)
Soohan Ahn, Gyemin Lee, Jongwoo Jeon
Analysis of the M/D/1-type queue based on an integer-valued first-order autoregressive process. Oper. Res. Lett. 27 (5) (2000)