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2020 – today
- 2024
[i5]Junho Song, Jong-Hwan Jang, Byeong Tak Lee, Dong-gyun Hong, Joon-Myoung Kwon, Yong-Yeon Jo:
Foundation Models for Electrocardiograms. CoRR abs/2407.07110 (2024)- [i4]Byeong Tak Lee, Joon-Myoung Kwon, Yong-Yeon Jo:
TADA: Temporal Adversarial Data Augmentation for Time Series Data. CoRR abs/2407.15174 (2024) - 2023
- [i3]Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon:
Optimizing Neural Network Scale for ECG Classification. CoRR abs/2308.12492 (2023) - [i2]Kyung Geun Kim, Byeong Tak Lee:
Self Attention with Temporal Prior: Can We Learn More from Arrow of Time? CoRR abs/2310.18932 (2023) - 2022
- [c4]Byeong Tak Lee, Yong-Yeon Jo, Joon-Myoung Kwon:
On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data. AMLTS 2022 - [c3]ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon:
Efficient Data Augmentation Policy for Electrocardiograms. CIKM 2022: 4153-4157 - [i1]Kyung Geun Kim, Byeong Tak Lee:
Graph Structure Based Data Augmentation Method. CoRR abs/2205.14619 (2022) - 2021
- [c2]ByeongTak Lee, Seo Taek Kong, Youngjae Song, Yeha Lee:
Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection. EMBC 2021: 591-594
2010 – 2019
- 2019
- [c1]ByeongTak Lee, KyungJae Cho, Oyeon Kwon, Yeha Lee:
Improving the Performance of a Neural Network for Early Prediction of Sepsis. CinC 2019: 1-4
Coauthor Index
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