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On robust spatial filtering of EEG in nonstationary environments
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On layer-wise representations in deep neural networks
Data-driven analysis for multimodal neuroimaging
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$ell_p$-Norm Multiple Kernel Learning
Advances in Neurotechnology for Brain Computer Interfaces
Towards EEG source connectivity analysis
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Analysis of Nonstationarities in EEG signals for improving Brain-Computer Interface performance
Analyses of single trial encephalogram data
Increasing Information Transfer Rates for Brain-Computer Interfacing
Spectral Properties of the Kernel Matrix and their Relation to Kernel Methods in Machine Learning
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