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Youngjae Song
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2020 – today
- 2023
- [i1]Youngjae Song, Sung Kuk Shyn, Kwangsu Kim:
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification. CoRR abs/2301.06324 (2023) - 2022
- [c6]ByeongTak Lee, Yong-Yeon Jo, Seon-Yu Lim, Youngjae Song, Joon-Myoung Kwon:
Efficient Data Augmentation Policy for Electrocardiograms. CIKM 2022: 4153-4157 - 2021
- [c5]ByeongTak Lee, Seo Taek Kong, Youngjae Song, Yeha Lee:
Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection. EMBC 2021: 591-594
2010 – 2019
- 2017
- [b1]Youngjae Song:
Sound-production related cognitive tasks for onset detection in self-paced brain-computer interfaces. University of Essex, Colchester, UK, 2017 - [c4]Youngjae Song, Francisco Sepulveda:
An online self-paced brain-computer interface onset detection based on sound-production imagery applied to real-life scenarios. BCI 2017: 46-49 - 2015
- [c3]Youngjae Song, Francisco Sepulveda:
Classifying siren-sound mental rehearsal and covert production vs. idle state towards onset detection in brain-computer interfaces. BCI 2015: 1-4 - 2014
- [c2]Youngjae Song, Francisco Sepulveda:
Classifying speech related vs. idle state towards onset detection in brain-computer interfaces overt, inhibited overt, and covert speech sound production vs. idle state. BioCAS 2014: 568-571
2000 – 2009
- 2005
- [c1]Sungchan Kim, Kunwoo Lee, Taesik Hong, Mincheol Kim, Moon Ki Jung, Youngjae Song:
An integrated approach to realize multi-resolution of B-rep model. Symposium on Solid and Physical Modeling 2005: 153-162
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