| Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ... PloS one 12 (4), e0175856, 2017 | 34 | 2017 |
| Improving zero-training brain-computer interfaces by mixing model estimators T Verhoeven, D Hübner, M Tangermann, KR Müller, J Dambre, ... Journal of neural engineering 14 (3), 036021, 2017 | 18 | 2017 |
| Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison D Hubner, T Verhoeven, KR Muller, PJ Kindermans, M Tangermann IEEE Computational Intelligence Magazine 13 (2), 66-77, 2018 | 17 | 2018 |
| Eyes-closed increases the usability of brain-computer interfaces based on auditory event-related potentials D Hübner, A Schall, N Prange, M Tangermann Frontiers in human neuroscience 12, 391, 2018 | 7 | 2018 |
| Challenging the assumption that auditory event-related potentials are independent and identically distributed D Hübner, M Tangermann Proceedings of the 7th International Brain-Computer Interface Meeting 2017 …, 2017 | 4 | 2017 |
| A novel BCI based rehabilitation approach for aphasia rehabilitation M Musso, A Bambadian, S Denzer, R Umarova, D Hübner, ... Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI …, 2016 | 4 | 2016 |
| Improving learning from label proportions by reducing the feature dimensionality D Hübner, PJ Kindermans, T Verhoeven, T Michael Proceedings of the 7th International Brain-Computer Interface Meeting 2017 …, 2017 | 3 | 2017 |
| Two player online brain-controlled chess D Hübner, A Schall, M Tangermann 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 2 | 2019 |
| Mixing two unsupervised estimators for event-related potential decoding: An online evaluation D Hübner, T Verhoeven, PJ Kindermans, T Michael Proceedings of the 7th International Brain-Computer Interface Meeting 2017 …, 2017 | 1 | 2017 |
| Learning from label proportions in BCI -- A symbiotic design for stimulus presentation and signal decoding D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ... The First Biannual Neuroadaptive Technology Conference, 27-29, 2017 | 1 | 2017 |
| Unsupervised learning in a BCI chess application using label proportions and expectation-maximization D Hübner, A Schall, M Tangermann Brain-Computer Interfaces 7 (1-2), 22-35, 2020 | | 2020 |
| From Supervised to Unsupervised Machine Learning Methods for Brain-computer Interfaces and Their Application in Language Rehabilitation D Hübner University of Freiburg, Freiburg im Breisgau, Germany, 2020 | | 2020 |
| Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance D Hübner, PJ Kindermans, T Verhoeven, KR Müller, M Tangermann Brain-Computer Interface Research, 63-73, 2019 | | 2019 |
| 2018 Index IEEE Computational Intelligence Magazine Vol. 13 P Abreu, D Alahakoon, R Allmendinger, I Amaya, H Araujo, D Ashlock, ... IEEE Computational Intelligence Magazine, 2018 | | 2018 |
| Unsupervised learning for brain–computer interfaces based on event-related potentials PJ Kindermans, D Hübner, T Verhoeven, KR Müller, M Tangermann Signal Processing and Machine Learning for Brain--Machine Interfaces, 2018 | | 2018 |
| Learning from label proportions in brain-computer interfaces D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ... | | 2017 |
| Making Brain-Computer Interfaces robust, reliable and adaptive with Learning from Label Proportions PJ Kindermans, D Hübner, T Verhoeven, K Schmid, KR Müller, ... | | 2016 |
| Evidence for language-specificity of a BCI-based language training M Musso, D Hübner, S Schwarzkopf, C Weiller, M Tangermann | | |
Michael TangermannBrain State Decoding Lab and Autonomous Intelligent Systems Lab, University of Freiburg, GermanyVerified email at blbt.uni-freiburg.de
