| 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 | 285 | 2009 |
| 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 | 185 | 2012 |
| 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 | 63 | 2011 |
| Detecting mental states by machine learning techniques: the berlin brain–computer interface B Blankertz, M Tangermann, C Vidaurre, T Dickhaus, C Sannelli, ... Brain-Computer Interfaces: Revolutionizing Human-Computer Interaction, 113-135, 2010 | 36 | 2010 |
| The Berlin brain-computer interface B Blankertz, M Tangermann, F Popescu, M Krauledat, S Fazli, M Dónaczy, ... Computational Intelligence: Research Frontiers: IEEE World Congress on …, 2008 | 29 | 2008 |
| Efficient estimation of hidden state dynamics from spike trains MG Danóczy, R Hahnloser Advances in neural information processing systems 18, 2005 | 22 | 2005 |
| Using rest class and control paradigms for brain computer interfacing S Fazli, M Danóczy, F Popescu, B Blankertz, KR Müller Bio-Inspired Systems: Computational and Ambient Intelligence: 10th …, 2009 | 16 | 2009 |
| Brain2robot: a grasping robot arm controlled by gaze and asynchronous EEG BCI M Danoczy, S Fazli, C Grozea, KR Müller, F Popescu na, 2008 | 13 | 2008 |
| Ensembles of temporal filters enhance classification performance for ERD-based BCI systems S Fazli, C Grozea, M Danóczy, B Blankertz, KR Müller, F Popescu na, 2008 | 10 | 2008 |
| Asynchronous, adaptive BCI using movement imagination training and rest-state inference S Fazli, M Dónaczy, M Kawanabe, F Popescu Proc. Artificial Intelligence and Applications, 85-90, 2008 | 4 | 2008 |
| ℓ1-Penalized Linear Mixed-Effects Models for BCI S Fazli, M Danóczy, J Schelldorfer, KR Müller Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 3 | 2011 |
| Advances in Neural Information Processing Systems S Fazli, C Grozea, M Danóczy, B Blankertz, F Popescu, KR Müller | 3 | 2009 |
| EEG-based brain-computer interface in chronic tetraplegics to actuate a robotic arm device as assistive technology-clinical survey and long term post trial follow-up G Onose, C Grozea, A Anghelescu, C Daia, CJ Sinescu, AV Ciurea, ... BIOPHILIA 1 (1), 25-26, 2011 | 2 | 2011 |
| Analysing EEG Data by Multi-scale Tensor Factorization M Ristin, M Danóczy, KR Müller TOBI Workshop 2010, 64, 2010 | | 2010 |
| The Berlin Brain-Computer Interface M Krauledat, S Fazli, M Donaczy Computational Intelligence: Research Frontiers: IEEE World Congress on …, 2008 | | 2008 |
| A method for predicting the success of a BCI training session based on the classification of the CSP filters C Grozea, S Fazli, G Nolte, M Danoczy | | 2008 |
| A method for predicting the success of a BCI training session based on the classification of the CSP filters itself C Grozea, S Fazli, G Nolte, M Danóczy, F Popescu na, 0 | | |
| l1-penalized Linear Mixed-Effects Models for zero-training Brain Computer Interfacing J Schelldorfer, S Fazli, M Danoczy, KR Muller | | |
Klaus-Robert MüllerGoogle Deepmind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyBestätigte E-Mail-Adresse bei tu-berlin.de
