Articoli con mandati relativi all'accesso pubblico - Klaus-Robert MüllerUlteriori informazioni
Non disponibili pubblicamente: 42
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Benchmark data set for in silico prediction of Ames mutagenicity
K Hansen, S Mika, T Schroeter, A Sutter, A Ter Laak, T Steger-Hartmann, ...
Journal of chemical information and modeling 49 (9), 2077-2081, 2009
Mandati: German Research Foundation
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Machine-learning-based coadaptive calibration for brain-computer interfaces
C Vidaurre, C Sannelli, KR Müller, B Blankertz
Neural computation 23 (3), 791-816, 2011
Mandati: German Research Foundation
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Divergence-based framework for common spatial patterns algorithms
W Samek, M Kawanabe, KR Müller
IEEE Reviews in Biomedical Engineering 7, 50-72, 2013
Mandati: German Research Foundation
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EEG-based BCI for the linear control of an upper-limb neuroprosthesis
C Vidaurre, C Klauer, T Schauer, A Ramos-Murguialday, KR Müller
Medical engineering & physics 38 (11), 1195-1204, 2016
Mandati: German Research Foundation
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On the information and representation of non-Euclidean pairwise data
J Laub, V Roth, JM Buhmann, KR Müller
Pattern Recognition 39 (10), 1815-1826, 2006
Mandati: German Research Foundation
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Visual Interpretation of Kernel‐based prediction models
K Hansen, D Baehrens, T Schroeter, M Rupp, KR Müller
Molecular Informatics 30 (9), 817-826, 2011
Mandati: German Research Foundation
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Analyzing local structure in kernel-based learning: Explanation, complexity, and reliability assessment
G Montavon, ML Braun, T Krueger, KR Muller
IEEE Signal Processing Magazine 30 (4), 62-74, 2013
Mandati: German Research Foundation
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Identifying interactions in mixed and noisy complex systems
G Nolte, FC Meinecke, A Ziehe, KR Müller
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 73 (5 …, 2006
Mandati: German Research Foundation
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Assessing perceived image quality using steady-state visual evoked potentials and spatio-spectral decomposition
S Bosse, L Acqualagna, W Samek, AK Porbadnigk, G Curio, B Blankertz, ...
IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1694-1706, 2017
Mandati: Federal Ministry of Education and Research, Germany
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Nonlinear gradient denoising: Finding accurate extrema from inaccurate functional derivatives
JC Snyder, M Rupp, KR Müller, K Burke
International Journal of Quantum Chemistry 115 (16), 1102–-1114, 2015
Mandati: Swiss National Science Foundation, German Research Foundation
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Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation
C Vidaurre, A Ramos-Murguialday, S Haufe, M Gómez-Fernández, ...
NeuroImage 199, 375–386, 2019
Mandati: German Research Foundation, Government of Spain, Federal Ministry of …
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Unsupervised learning for brain-computer interfaces based on event-related potentials: Review and online comparison [research frontier]
D Hüebner, T Verhoeven, KR Müeller, PJ Kindermans, M Tangermann
IEEE Computational Intelligence Magazine 13 (2), 66-77, 2018
Mandati: German Research Foundation, European Commission, Federal Ministry of …
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Objective quality assessment of stereoscopic images with vertical disparity using EEG
FS Avarvand, S Bosse, KR Mueller, R Schaefer, G Nolte, T Wiegand, ...
Journal of neural engineering 14 (4), 046009, 2017
Mandati: German Research Foundation, Federal Ministry of Education and Research, Germany
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Improving BCI performance by task-related trial pruning
C Sannelli, M Braun, KR Müller
Neural Networks 22 (9), 1295-1304, 2009
Mandati: German Research Foundation
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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
Mandati: German Research Foundation, European Commission
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Neuromuscular electrical stimulation induced brain patterns to decode motor imagery
C Vidaurre, J Pascual, A Ramos-Murguialday, R Lorenz, B Blankertz, ...
Clinical Neurophysiology 124 (9), 1824-1834, 2013
Mandati: German Research Foundation
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Porosity Estimation by Semi-supervised Learning with Sparsely Available Labeled Samples
LA Lima, N Görnitz, LE Varella, M Vellasco, KR Müller, S Nakajima
Computers & Geosciences 106, 33-48, 2017
Mandati: German Research Foundation, Federal Ministry of Education and Research, Germany
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Wasserstein stationary subspace analysis
S Kaltenstadler, S Nakajima, KR Müller, W Samek
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1213-1223, 2018
Mandati: Federal Ministry of Education and Research, Germany
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Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?
M Yukawa, KR Müller
IEEE SIGNAL PROCESSING LETTERS 23 (10), 1424-1428, 2016
Mandati: German Research Foundation
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When brain and behavior disagree: Tackling systematic label noise in eeg data with machine learning
AK Porbadnigk, N Görnitz, C Sannelli, A Binder, M Braun, M Kloft, ...
2014 International Winter Workshop on Brain-Computer Interface (BCI), 1-4, 2014
Mandati: German Research Foundation
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