ByeongTak Lee

According to our database, ByeongTak Lee authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals.

Yong-Yeon Jo, Byeong Tak Lee, Jeong-Ho Hong, Hak Seung Lee, Joon-Myoung Kwon, Beom Joon Kim

Proceedings of the Conference on Health, 2025

2024

Self-attention with temporal prior: can we learn more from the arrow of time?

Kyung Geun Kim, Byeong Tak Lee

Frontiers Artif. Intell., 2024

New Test-Time Scenario for Biosignal: Concept and Its Approach.

Yong-Yeon Jo, Byeong Tak Lee, Beom Joon Kim, Jeong-Ho Hong, Hak Seung Lee, Joon-Myoung Kwon

CoRR, 2024

TADA: Temporal Adversarial Data Augmentation for Time Series Data.

Byeong Tak Lee, Joon-Myoung Kwon, Yong-Yeon Jo

CoRR, 2024

Foundation Models for Electrocardiograms.

Junho Song, Jong-Hwan Jang, Byeong Tak Lee, Dong-gyun Hong, Joon-Myoung Kwon, Yong-Yeon Jo

CoRR, 2024

2023

Optimizing Neural Network Scale for ECG Classification.

Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon

CoRR, 2023

2022

Graph Structure Based Data Augmentation Method.

Kyung Geun Kim, Byeong Tak Lee

CoRR, 2022

Efficient Data Augmentation Policy for Electrocardiograms.

ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data.

Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon

Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection.

ByeongTak Lee, Seo Taek Kong, Youngjae Song, Yeha Lee

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Improving the Performance of a Neural Network for Early Prediction of Sepsis.

ByeongTak Lee, KyungJae Cho, Oyeon Kwon, Yeha Lee

Proceedings of the 46th Computing in Cardiology, 2019