Siamac Fazli

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Min-Ho LeeAssistant Professor in Nazarbayev UniversityVerified email at nu.edu.kz
Cristian GrozeaResearcher, Fraunhofer Institute FOKUSVerified email at fokus.fraunhofer.de
Arno VillringerDirector, Max Planck SocietyVerified email at cbs.mpg.de
Michael TangermannDonders Insitute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, andVerified email at donders.ru.nl
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerified email at bht-berlin.de
Matthias RuppLuxembourg Institute of Science and Technology (LIST)Verified email at list.lu
Grégoire MontavonGuest professor, Freie Universität BerlinVerified email at fu-berlin.de
Alexandre TkatchenkoProfessor of Physics, University of Luxembourg; Visiting Professor, TU Berlin; APS Fellow; FRSCVerified email at uni.lu
Carmen VidaurreIkerbasque Research Associate Prof., BCBL & BIFOLD TU-BerlinVerified email at bcbl.eu
Sven DähneAmazonVerified email at amazon.com
Claudia SannelliMedtronicVerified email at medtronic.com
Seul-Ki YeomTechnische Universität Berlin - Machine Learning GroupVerified email at tu-berlin.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Heung-Il SukProfessor, Department of Artificial Intelligence, Korea UniversityVerified email at korea.ac.kr
Christian WallravenKorea UniversityVerified email at korea.ac.kr
Ayalneh Dessalegn AtnafuIntel CorporationVerified email at intel.com
Matthias KrauledatRhine-Waal University of Applied SciencesVerified email at hochschule-rhein-waal.de

Siamac Fazli

Nazarbayev University

Verified email at nu.edu.kz

Machine Learning Biomedical Engineering Computational Chemistry


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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	709	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	702	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	451	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	418	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	289	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	287	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	280	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	203	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	195	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	168	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
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	131	2021
Dry electrode cap for electro-encephalography F Popescu, S Fazli, Y Badower, KR Mueller US Patent 8,548,554, 2013	121	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	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	106	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	106	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	104	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	89	2009
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	88	2014
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	62	2011

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