Klaus-Robert Müller

Latest

• Rethinking BCI paradigm and machine learning algorithm as a symbiosis: zero calibration, guaranteed convergence and high decoding performance
• Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]
• Unsupervised learning for brain–computer interfaces based on event-related potentials
• Improving zero-training brain-computer interfaces by mixing model estimators
• Learning from Label Proportions in BCI -- a Symbiotic Design for Stimulus Preservation and Signal Decoding
• Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees
• Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees
• Towards Non-Invasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application and Beyond
• Improving our understanding of transfer-learning in ERP based BCI
• On the Influence of High-Pass Filtering on ICA-Based Artifact Reduction in EEG-ERP
• Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
• True Zero-Training Brain-Computer Interfacing -- An Online Study
• Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
• Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface
• Decoding cognitive brain states
• Zero Training for BCI -- Reality for BCI Systems Based on Event-Related Potentials
• Brain-Computer Interfaces and Visual Activity