Analysis of the M/D/1-type queue based on an integer-valued first-order autoregressive process. - Soohan Ahn; Gyemin Lee; Jongwoo Jeon (Oper. Res. Lett., 2000)

A new approach to an N/G/1 queue. - Gyemin Lee; Jongwoo Jeon (Queueing Syst. Theory Appl., 2000)

The One Class Support Vector Machine Solution Path. - Gyemin Lee; Clayton Scott (ICASSP (2), 2007)

Semi-Supervised Novelty Detection. - Gilles Blanchard; Gyemin Lee; Clayton Scott (J. Mach. Learn. Res., 2010)

Nested support vector machines. - Gyemin Lee; Clayton Scott (IEEE Trans. Signal Process., 2010)

Generalizing from Several Related Classification Tasks to a New Unlabeled Sample. - Gilles Blanchard; Gyemin Lee; Clayton Scott (NIPS, 2011)

Statistical file matching of flow cytometry data. - Gyemin Lee; William Finn; Clayton Scott (J. Biomed. Informatics, 2011)

Improving surgical models through one/two class learning. - Chih-Chun Chia; Zahi N. Karam; Gyemin Lee; Ilan Rubinfeld; Zeeshan Syed (EMBC, 2012)

Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method. - Gyemin Lee; Hitinder S. Gurm; Zeeshan Syed (HISB, 2012)

Adapting Surgical Models to Individual Hospitals Using Transfer Learning. - Gyemin Lee; Ilan Rubinfeld; Zeeshan Syed (ICDM Workshops, 2012)

EM algorithms for multivariate Gaussian mixture models with truncated and censored data. - Gyemin Lee; Clayton Scott (Comput. Stat. Data Anal., 2012)

Transfer Learning for Auto-gating of Flow Cytometry Data. - Gyemin Lee; Lloyd Stoolman; Clayton Scott (ICML Unsupervised and Transfer Learning, 2012)

Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method. - Gyemin Lee; Hitinder S. Gurm; Zeeshan Syed (J. Am. Medical Informatics Assoc., 2013)

Hierarchical Clustering Using One-Class Support Vector Machines. - Gyemin Lee (Symmetry, 2015)

Summarizing Long-Length Videos with GAN-Enhanced Audio/Visual Features. - Hansol Lee; Gyemin Lee (ICCV Workshops, 2019)

Hierarchical Model For Long-Length Video Summarization With Adversarially Enhanced Audio/Visual Features. - Hansol Lee; Gyemin Lee (ICIP, 2020)

Model Uncertainty for Unsupervised Domain Adaptation. - Joonho Lee; Gyemin Lee (ICIP, 2020)

Domain Generalization by Marginal Transfer Learning. - Gilles Blanchard; Aniket Anand Deshmukh; Ürün Dogan; Gyemin Lee; Clayton Scott (J. Mach. Learn. Res., 2021)

Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. - Joonho Lee; Gyemin Lee (CoRR, 2022)

Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models. - Joonho Lee; Gyemin Lee (CoRR, 2022)

Determinants of Esports Highlight Viewership: The Case of League of Legends Champions Korea. - Hyunwoong Pyun; Wonseok (Eric) Jang; Gyemin Lee; Yoonji Ryu; Hui Hwang; Jaehyun Jeong (HICSS, 2023)

Unsupervised domain adaptation based on the predictive uncertainty of models. - JoonHo Lee; Gyemin Lee (Neurocomputing, 2023)

Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. - JoonHo Lee; Gyemin Lee (Neural Networks, 2023)

Adapting Models to Scarce Target Data Without Source Samples. - JoonHo Lee; Gyemin Lee (ACCV (8), 2024)

Competing With Artificial Intelligence Or Other Fans: Effects of Making Predictions About Game Outcome on Fans' Perceived Curiosity and Evaluations of Game Consumption. - Wonseok Jang; Gong Zhuo; Hyunwoong Pyun; Gyemin Lee (Int. J. Hum. Comput. Interact., 2025)