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Seul-Ki Yeom
Seul-Ki Yeom
Technische Universität Berlin - Machine Learning Group
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
Pruning by explaining: A novel criterion for deep neural network pruning
SK Yeom, P Seegerer, S Lapuschkin, A Binder, S Wiedemann, KR Müller, ...
Pattern Recognition 115, 107899, 2021
2402021
Network properties in transitions of consciousness during propofol-induced sedation
M Lee, RD Sanders, SK Yeom, DO Won, KS Seo, HJ Kim, G Tononi, ...
Scientific reports 7 (1), 16791, 2017
2012017
Person authentication from neural activity of face-specific visual self-representation
SK Yeom, HI Suk, SW Lee
Pattern recognition 46 (4), 1159-1169, 2013
1422013
An efficient ERP-based brain-computer interface using random set presentation and face familiarity
SK Yeom, S Fazli, KR Müller, SW Lee
PloS one 9 (11), e111157, 2014
1042014
Spatio-temporal dynamics of multimodal EEG-fNIRS signals in the loss and recovery of consciousness under sedation using midazolam and propofol
SK Yeom, DO Won, SI Chi, KS Seo, HJ Kim, KR Müller, SW Lee
PloS one 12 (11), e0187743, 2017
352017
EEG-based person authentication using face stimuli
SK Yeom, HI Suk, SW Lee
Brain-Computer Interface (BCI), 2013 International Winter Workshop on, 58-61, 2013
262013
Toward compact deep neural networks via energy-aware pruning
SK Yeom, KH Shim, JH Hwang
arXiv preprint arXiv:2103.10858, 2021
162021
Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network
M Lee, SK Yeom, B Baird, O Gosseries, JO Nieminen, G Tononi, SW Lee
2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018
162018
Change in functional networks for transitions between states of consciousness during midazolam-induced sedation
M Lee, RD Sanders, SK Yeom, DO Won, HJ Kim, BR Lee, KS Seo, HJ Kim, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
122017
P300 visual speller based on random set presentation
SK Yeom, S Fazli, SW Lee
2014 International Winter Workshop on Brain-Computer Interface (BCI), 1-2, 2014
122014
Automatic neural network pruning that efficiently preserves the model accuracy
T Castells, SK Yeom
arXiv preprint arXiv:2111.09635, 2021
62021
Multimodal imaging technique for rapid response brain-computer interface feedback
SK Yeom, S Fazli, J Mehnert, B Blankertz, J Steinbrink, K Muller, SW Lee
Brain-Computer Interface (BCI), 2013 International Winter Workshop on, 92-94, 2013
52013
EEG-based person authentication using face-specific self representation
SK Yeom, HI Suk, SW Lee
Proceedings of the Korean Information Science Society Conference, 379-382, 2011
42011
Pruning and/or quantizing machine learning predictors
W Samek, S Lapuschkin, S Wiedemann, P Seegerer, Y Seul-Ki, K Mueller, ...
US Patent App. 17/556,657, 2022
32022
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation
SK Yeom, J von Klitzing
arXiv preprint arXiv:2312.06272, 2023
22023
EEG-based classification of consciousness during sedation using global spectra principal components
SK Yeom, HJ Kim, KS Seo, HJ Kim, SW Lee
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 799-803, 2017
12017
Classification of midazolam-induced sedation depth based on spatial and spectral analysis
HJ Kim, SK Yeom, KS Seo, HJ Kim, SW Lee
2017 5th International Winter Conference on Brain-Computer Interface (BCI …, 2017
12017
Method and apparatus for information flow based automatic neural network compression that preserves the model accuracy
Y Seul-Ki, T Castells
US Patent App. 18/056,644, 2023
2023
Patient Controlled Sedation and Changes of EEG During Dental Treatment
KS Seo, SI Chi, HJ Kim, SK Yeom, DO Won, SW Lee
ANESTHESIA AND ANALGESIA 124, 115-116, 2017
2017
Benefits and Limits of Multimodal Neuroimaging for Brain Computer Interfaces
S Fazli, MH Lee, SK Yeom, J Williamson, I Schlattner, Y Chen, SW Lee
Recent Progress in Brain and Cognitive Engineering, 35-48, 2015
2015
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Articles 1–20