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Yonggun Lee
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2020 – today
- 2020
- [c6]Yonggun Lee, Miltiadis Alamaniotis:
Unsupervised EEG Cybersickness Prediction with Deep Embedded Self Organizing Map. BIBE 2020: 538-542 - [c5]Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, Paul Rad, Yufei Huang, John Quarles:
Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals. ISMAR 2020: 400-411 - [c4]Rifatul Islam, Yonggun Lee, Mehrad Jaloli, Imtiaz Muhammad, Dakai Zhu, John Quarles:
Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation. VR Workshops 2020: 649-650
2010 – 2019
- 2018
- [c3]Yonggun Lee, Yufei Huang:
Generating target/non-target images of an RSVP experiment from brain signals in by conditional generative adversarial network. BHI 2018: 182-185 - 2017
- [c2]Bryan Suk Kim, Yonggun Lee, Sang Lyul Min:
Framework for efficient and flexible scheduling of flash memory operations. NVMSA 2017: 1-5 - 2014
- [c1]Yonggun Lee, Yoonsik Choe:
Neighbor embedding based single image super-resolution using hybrid feature and adaptive weight decay regularization. ICCE-Berlin 2014: 185-187
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last updated on 2024-10-07 22:15 CEST by the dblp team
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