| Enhanced performance by a hybrid NIRS–EEG brain computer interface S Fazli, J Mehnert, J Steinbrink, G Curio, A Villringer, KR Müller, ... Neuroimage 59 (1), 519-529, 2012 | 694 | 2012 |
| Assessment and validation of machine learning methods for predicting molecular atomization energies K Hansen, G Montavon, F Biegler, S Fazli, M Rupp, M Scheffler, ... Journal of chemical theory and computation 9 (8), 3404-3419, 2013 | 692 | 2013 |
| The Berlin brain–computer interface: non-medical uses of BCI technology B Blankertz, M Tangermann, C Vidaurre, S Fazli, C Sannelli, S Haufe, ... Frontiers in neuroscience 4, 198, 2010 | 446 | 2010 |
| EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy MH Lee, OY Kwon, YJ Kim, HK Kim, YE Lee, J Williamson, S Fazli, ... GigaScience 8 (5), giz002, 2019 | 379 | 2019 |
| Subject-independent mental state classification in single trials S Fazli, F Popescu, M Danóczy, B Blankertz, KR Müller, C Grozea Neural networks 22 (9), 1305-1312, 2009 | 286 | 2009 |
| Single trial classification of motor imagination using 6 dry EEG electrodes F Popescu, S Fazli, Y Badower, B Blankertz, KR Müller PloS one 2 (7), e637, 2007 | 282 | 2007 |
| Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications C Grozea, CD Voinescu, S Fazli Journal of neural engineering 8 (2), 025008, 2011 | 276 | 2011 |
| Learning invariant representations of molecules for atomization energy prediction G Montavon, K Hansen, S Fazli, M Rupp, F Biegler, A Ziehe, ... Advances in neural information processing systems 25, 2012 | 202 | 2012 |
| On the feasibility of using motor imagery EEG-based brain–computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial … G Onose, C Grozea, A Anghelescu, C Daia, CJ Sinescu, AV Ciurea, ... Spinal cord 50 (8), 599-608, 2012 | 189 | 2012 |
| A high-security EEG-based login system with RSVP stimuli and dry electrodes Y Chen, AD Atnafu, I Schlattner, WT Weldtsadik, MC Roh, HJ Kim, ... IEEE, 2016 | 164 | 2016 |
| A high performance spelling system based on EEG-EOG signals with visual feedback MH Lee, J Williamson, DO Won, S Fazli, SW Lee IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (7 …, 2018 | 160 | 2018 |
| Dry electrode cap for electro-encephalography F Popescu, S Fazli, Y Badower, KR Mueller US Patent 8,548,554, 2013 | 121 | 2013 |
| Spatio-spectral feature representation for motor imagery classification using convolutional neural networks JS Bang, MH Lee, S Fazli, C Guan, SW Lee IEEE Transactions on Neural Networks and Learning Systems 33 (7), 3038-3049, 2021 | 120 | 2021 |
| Subject-dependent classification for robust idle state detection using multi-modal neuroimaging and data-fusion techniques in BCI MH Lee, S Fazli, J Mehnert, SW Lee Pattern Recognition 48 (8), 2725-2737, 2015 | 119 | 2015 |
| Multivariate machine learning methods for fusing multimodal functional neuroimaging data S Dähne, F Biessmann, W Samek, S Haufe, D Goltz, C Gundlach, ... Proceedings of the IEEE 103 (9), 1507-1530, 2015 | 105 | 2015 |
| Learning from more than one data source: data fusion techniques for sensorimotor rhythm-based brain–computer interfaces S Fazli, S Dähne, W Samek, F Bießmann, KR Müller Proceedings of the IEEE 103 (6), 891-906, 2015 | 105 | 2015 |
| 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 | 103 | 2014 |
| Predicting BCI subject performance using probabilistic spatio-temporal filters HI Suk, S Fazli, J Mehnert, KR Müller, SW Lee PloS one 9 (2), e87056, 2014 | 87 | 2014 |
| Subject independent EEG-based BCI decoding S Fazli, C Grozea, M Danóczy, B Blankertz, F Popescu, KR Müller Advances in Neural Information Processing Systems 22, 2009 | 87 | 2009 |
| ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI S Fazli, M Danóczy, J Schelldorfer, KR Müller NeuroImage 56 (4), 2100-2108, 2011 | 64 | 2011 |
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
