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2020 – today
- 2021
[i2]Jan Sosulski, David Hübner, Aaron Klein, Michael Tangermann:
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints. CoRR abs/2109.06011 (2021)- 2020
- [b1]David Hübner:
From supervised to unsupervised machine learning methods for brain-computer interfaces and their application in language rehabilitation. University of Freiburg, Freiburg im Breisgau, Germany, 2020
2010 – 2019
- 2019
- [c4]David Hübner, Albrecht Schall
, Michael Tangermann:
Two Player Online Brain-Controlled Chess. EMBC 2019: 3018-3021 - [p1]David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Klaus-Robert Müller, Michael Tangermann:
Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance. Brain-Computer Interface Research (7) 2019: 63-73 - 2018
- [j3]David Hübner, Thibault Verhoeven, Klaus-Robert Müller, Pieter-Jan Kindermans, Michael Tangermann:
Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]. IEEE Comput. Intell. Mag. 13(2): 66-67 (2018) - 2017
- [c3]David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Michael Tangermann:
Improving Learning from Label proportions by Reducing the Feature Dimensionality. GBCIC 2017 - [c2]David Hübner, Michael Tangermann:
Challenging the Assumption that auditory Event-Related potentials are Independent and identically Distributed. GBCIC 2017 - [c1]David Hübner, Thibault Verhoeven, Pieter-Jan Kindermans, Michael Tangermann:
Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation. GBCIC 2017 - [i1]David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans:
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees. CoRR abs/1701.07213 (2017)
2000 – 2009
- 2008
- [j2]Valeri A. Makarov, Yongli Song, Manuel G. Velarde, David Hübner, Holk Cruse:
Elements for a general memory structure: properties of recurrent neural networks used to form situation models. Biol. Cybern. 98(5): 371-395 (2008) - [j1]Holk Cruse, David Hübner:
Selforganizing memory: active learning of landmarks used for navigation. Biol. Cybern. 99(3): 219-236 (2008)
Coauthor Index
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