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Seho Lee
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2020 – today
- 2024
- [c14]Jihun Kim, Sangsu Park, Hongju Suh, Youngjae Kwon, Seonghun Lee, Yubin Lee, Kayoung Kim, Eungu Han, Jongil Kim, Kyu Sung Kim, Hyejung Choi, Seungwook Ryu, Su Jin Chae, Seho Lee, Soo Gil Kim, Jaeyun Yi, Seonyong Cha:
Realistic Noise-aware Training as a Component of the Holistic ACiM Development Platform. IMW 2024: 1-4 - [c13]Won-Tae Koo, Jae-Gil Lee, Gunhee Lee, Woocheol Lee, Jungwook Woo, Dong Ik Suh, Joongsik Kim, Hyung Dong Lee, Seho Lee, Jaeyun Yi, Seonyong Cha:
Modeling and Demonstration for Multi-level Weight Conductance in Computational FeFET Memory Cell. IMW 2024: 1-4 - [c12]Youngjae Kwon, Won-Tae Koo, Sangsu Park, Dong Ik Suh, Gunhee Lee, Hyung Dong Lee, Youngbae Ahn, Dohee Kim, Seungwook Ryu, Hoseok Em, Seokjoon Kang, Chang Won Jeong, Junho Cheon, Hyejung Choi, Soo Gil Kim, Seho Lee, Jaeyun Yi, Seonyong Cha:
Improvement of MAC Accuracy using Oxygen Diffusion Barriers in Resistive Synaptic Cell Arrays. IMW 2024: 1-4 - 2023
- [j2]Seho Lee, Hakseung Kim, Jung-Bin Kim, Dong-Joo Kim:
Effects of altered functional connectivity on motor imagery brain-computer interfaces based on the laterality of paralysis in hemiplegia patients. Comput. Biol. Medicine 166: 107435 (2023) - [j1]Seho Lee, Chaok Seok, Hahnbeom Park:
Benchmarking applicability of medium-resolution cryo-EM protein structures for structure-based drug design. J. Comput. Chem. 44(14): 1360-1368 (2023) - [c11]Minkyung Jung, Hakseung Kim, Seho Lee, Jung-Bin Kim, Dong-Joo Kim:
Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG. BCI 2023: 1-5 - 2022
- [c10]Joung-Woo Hyung, Seho Lee, Hakseung Kim, Dong-Joo Kim:
Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification. BCI 2022: 1-4 - [c9]Jae-Gil Lee, Joongsik Kim, Dong Ik Suh, Ildo Kim, Gwon Deok Han, Seung Wook Ryu, Seho Lee, Myung-Hee Na, Seonyong Cha, Hyeon Woo Park, Cheol Seong Hwang:
Memory Window Expansion for Ferroelectric FET based Multilevel NVM: Hybrid Solution with Combination of Polarization and Injected Charges. IMW 2022: 1-4 - [c8]Sangsu Park, Gyonhui Lee, Youngjae Kwon, Dong Ik Suh, Hanwool Lee, Sangeun Je, Dabin Kim, Dohan Lee, Seungwook Ryu, Seungbum Kim, Euiseok Kim, Sunghoon Lee, Kyoung Park, Seho Lee, Myung-Hee Na, Seonyong Cha:
Recognition Accuracy Enhancement using Interface Control with Weight Variation-Lowering in Analog Computation-in-Memory. IMW 2022: 1-3 - 2021
- [c7]Minkyung Jung, Seho Lee, In-Nea Wang, Ha Yoon Song, Hakseung Kim, Dong-Joo Kim:
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface. BCI 2021: 1-4 - 2020
- [c6]Seho Lee, Young-Tak Kim, Seung-Ouk Hwang, Hakseung Kim, Dong-Joo Kim:
Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach. BCI 2020: 1-4 - [c5]Seho Lee, Choel-Hui Lee, Hakseung Kim, Dong-Joo Kim:
Lateralization of alpha oscillation under preparation Lead to Efficiency of Motor Imagery: Related with Performance of Classification. SMC 2020: 2502-2505
2010 – 2019
- 2019
- [c4]Pavan Kumar Chundi, Peiye Liu, Sangsu Park, Seho Lee, Mingoo Seok:
FPGA-based Acceleration of Binary Neural Network Training with Minimized Off-Chip Memory Access. ISLPED 2019: 1-6 - [c3]Young-Tak Kim, Seho Lee, Hakseung Kim, Seung-Bo Lee, Seong-Whan Lee, Dong-Joo Kim:
Reduced Burden of Individual Calibration Process in Brain-Computer Interface by Clustering the Subjects based on Brain Activation. SMC 2019: 2139-2143 - [c2]Seung-Bo Lee, Hakseung Kim, Seho Lee, Hyun-Ji Kim, Seong-Whan Lee, Dong-Joo Kim:
Classification of the Motion Artifacts in Near-infrared Spectroscopy Based on Wavelet Statistical Feature. SMC 2019: 2144-2148 - 2014
- [c1]Seho Lee, Junghoon Kim, Minho Lee, Hyunku Lee, Young Ik Eom:
Last block logging mechanism for improving performance and lifetime on SCM-based file system. ICUIMC 2014: 38:1-38:4
Coauthor Index
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last updated on 2024-06-11 21:47 CEST by the dblp team
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