David Hübner
TitleCited byYear
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
192017
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
72017
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
32018
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
32018
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
22017
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
22016
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
12017
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
12017
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 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
2017
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
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Articles 1–14