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- Conference Paper
- C1
- open access
Reducing BCI calibration time with transfer learning: a shrinkage approach
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Deep dynamic neural networks for multimodal gesture segmentation and recognition
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Transfer learning of gaits on a quadrupedal robot
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- Conference Paper
- P1
- open access
Sign language recognition using convolutional neural networks
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An unsupervised plug and play BCI with consumer grade hardware
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- PhD Thesis
- open access
A Bayesian machine learning framework for true zero-training brain-computer interfaces
(2014) -
- Miscellaneous
- open access
Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface
(2014) -
- Conference Paper
- C1
- open access
Switching characters between stimuli improves P300 speller accuracy
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- Journal Article
- A1
- open access
True zero-training brain-computer interfacing: an online study
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- Journal Article
- A1
- open access
Performance measurement for brain–computer or brain–machine interfaces: a tutorial
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- Journal Article
- A1
- open access
Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
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- Conference Paper
- C3
- open access
An unsupervised plug and play BCI with consumer grade hardware
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- Conference Paper
- C1
- open access
A case study demonstrating the pitfalls during evaluation of a predictive seizure detector
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- Conference Paper
- C3
- open access
Zero training for BCI-reality for BCI systems based on event-related potentials
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- Conference Paper
- C3
- open access
Dynamic stopping in a calibration-less P300 speller
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A unified probabilistic approach to improve spelling in an event-related potential based brain-computer interface
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- Conference Paper
- C1
- open access
A P300 BCI for the masses: prior information enables instant unsupervised spelling
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Dynamic stopping improves the speed and accuracy of a P300 speller
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- Conference Paper
- C1
- open access
Distance dependent extensions of the Chinese restaurant process
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- Conference Paper
- C3
- open access
Towards incorporation of hierarchical Bayesian models into evolution strategies for quadruped gait generation