| 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 | 217 | 2021 |
| 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 | 198 | 2017 |
| Person authentication from neural activity of face-specific visual self-representation SK Yeom, HI Suk, SW Lee Pattern recognition 46 (4), 1159-1169, 2013 | 141 | 2013 |
| 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 | 102 | 2014 |
| 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 | 35 | 2017 |
| 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 | 26 | 2013 |
| 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 | 15 | 2018 |
| Toward compact deep neural networks via energy-aware pruning SK Yeom, KH Shim, JH Hwang arXiv preprint arXiv:2103.10858, 2021 | 14 | 2021 |
| 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 | 12 | 2017 |
| 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 | 12 | 2014 |
| Automatic neural network pruning that efficiently preserves the model accuracy T Castells, SK Yeom arXiv preprint arXiv:2111.09635, 2021 | 6 | 2021 |
| 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 | 5 | 2013 |
| 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 | 4 | 2011 |
| 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 | 3 | 2022 |
| 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 | 1 | 2017 |
| 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 | 1 | 2017 |
| U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation SK Yeom, J von Klitzing arXiv preprint arXiv:2312.06272, 2023 | | 2023 |
| 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 |
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, Germany在 tu-berlin.de 的电子邮件经过验证
