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Journal Articles
- 2021
[j2]Seul-Ki Yeom, Philipp Seegerer
, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. 115: 107899 (2021)- 2013
- [j1]Seul-Ki Yeom, Heung-Il Suk, Seong-Whan Lee:
Person authentication from neural activity of face-specific visual self-representation. Pattern Recognit. 46(4): 1159-1169 (2013)
Conference and Workshop Papers
- 2018
- [c8]Minji Lee, Seul-Ki Yeom, Benjamin Baird, Olivia Gosseries, Jaakko O. Nieminen, Giulio Tononi, Seong-Whan Lee:
Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network. BCI 2018: 1-3 - 2017
- [c7]Seul-Ki Yeom, Hwi-Jae Kim, Kwang-Suk Seo, Hyun Jeong Kim, Seong-Whan Lee:
EEG-based Classification of Consciousness during Sedation Using Global Spectra Principal Components. ACPR 2017: 799-803 - [c6]Hwi-Jae Kim, Seul-Ki Yeom, Kwang-Suk Seo, Hyun Jeong Kim, Seong-Whan Lee:
Classification of midazolam-induced sedation depth based on spatial and spectral analysis. BCI 2017: 99-102 - [c5]Minji Lee, Robert D. Sanders, Seul-Ki Yeom, Dong-Ok Won, Hwi-Jae Kim, Bo-Ram Lee, Kwang-Suk Seo, Hyun Jeong Kim, Giulio Tononi, Seong-Whan Lee:
Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. EMBC 2017: 958-961 - 2014
- [c4]Seul-Ki Yeom, Siamac Fazli, Seong-Whan Lee:
P300 visual speller based on random set presentation. BCI 2014: 1-2 - [c3]Seul-Ki Yeom, Siamac Fazli, Klaus-Robert Müller, Seong-Whan Lee:
Towards an enhanced ERP speller based on the visual processing of face familiarity. EMBC 2014: 1330-1333 - 2013
- [c2]Seul-Ki Yeom, Heung-Il Suk, Seong-Whan Lee:
Eeg-based person authentication using face stimuli. BCI 2013: 58-61 - [c1]Seul-Ki Yeom, Siamac Fazli, Jan Mehnert, Benjamin Blankertz, Jens Steinbrink, Klaus-Robert Müller, Seong-Whan Lee:
Multimodal imaging technique for rapid response brain-computer interface feedback. BCI 2013: 92-94
Informal and Other Publications
- 2023
- [i4]Seul-Ki Yeom, Julian von Klitzing:
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation. CoRR abs/2312.06272 (2023) - 2021
- [i3]Seul-Ki Yeom, Kyung-Hwan Shim, Jee-Hyun Hwang:
Toward Compact Deep Neural Networks via Energy-Aware Pruning. CoRR abs/2103.10858 (2021) - [i2]Thibault Castells, Seul-Ki Yeom:
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy. CoRR abs/2111.09635 (2021) - 2019
- [i1]Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning. CoRR abs/1912.08881 (2019)
Coauthor Index
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