Siamac Fazli
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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
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
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
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
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
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
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
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
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
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
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
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
Dry electrode cap for electro-encephalography
F Popescu, S Fazli, Y Badower, KR Mueller
US Patent 8,548,554, 2013
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
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
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
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
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
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
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
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