Frank C. Meinecke

According to our database, Frank C. Meinecke authored at least 27 papers between 2001 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

On the interpretation of weight vectors of linear models in multivariate neuroimaging.

Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann

NeuroImage, 2014

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.

Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin

NeuroImage, 2014

Parameter interpretation, regularization and source localization in multivariate linear models.

Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Multimodal integration of electrophysiological and hemodynamic signals.

Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

2013

Integration of Multivariate Data Streams With Bandpower Signals.

Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller

IEEE Trans. Multim., 2013

Transferring Subspaces Between Subjects in Brain-Computer Interfacing.

Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller

IEEE Trans. Biomed. Eng., 2013

2012

Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis.

Duncan A. J. Blythe, Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller

IEEE Trans. Neural Networks Learn. Syst., 2012

Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space.

Arne Ewald, Laura Marzetti, Filippo Zappasodi, Frank C. Meinecke, Guido Nolte

NeuroImage, 2012

Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions.

Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke

NeuroImage, 2012

Regression for sets of polynomial equations.

Franz J. Király, Paul von Bünau, Jan Saputra Müller, Duncan A. J. Blythe, Frank C. Meinecke, Klaus-Robert Müller

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Algebraic Geometric Comparison of Probability Distributions.

Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A. J. Blythe, Klaus-Robert Müller

J. Mach. Learn. Res., 2012

Simultaneous and proportional control of 2D wrist movements with myoelectric signals.

Janne Mathias Hahne, Hubertus Rehbaum, Felix Bießmann, Frank C. Meinecke, Klaus-Robert Müller, Ning Jiang, Dario Farina, Lucas C. Parra

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Simultaneous Diagonalization of Skew-Symmetric Matrices in the Symplectic Group.

Frank C. Meinecke

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

The Stationary Subspace Analysis Toolbox.

Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke, Franz J. Király, Klaus-Robert Müller

J. Mach. Learn. Res., 2011

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.

Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

An Information Geometrical View of Stationary Subspace Analysis.

Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank C. Meinecke

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Temporal kernel CCA and its application in multimodal neuronal data analysis.

Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller

Mach. Learn., 2010

2009

Stationary Subspace Analysis.

Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning invariances with Stationary Subspace Analysis.

Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2006

From outliers to prototypes: Ordering data.

Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller

Neurocomputing, 2006

2005

Inlier-based ICA with an application to superimposed images.

Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller

Int. J. Imaging Syst. Technol., 2005

Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction.

Guido Nolte, Andreas Ziehe, Frank C. Meinecke, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Injecting noise for analysing the stability of ICA components.

Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller

Signal Process., 2004

Blind Source Separation Techniques for Decomposing Event-Related Brain Signals.

Klaus-Robert Müller, Ricardo Vigário, Frank C. Meinecke, Andreas Ziehe

Int. J. Bifurc. Chaos, 2004

Robust ICA for Super-Gaussian Sources.

Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2002

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components.

Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

IEEE Trans. Biomed. Eng., 2002

2001

Estimating the Reliability of ICA Projections.

Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001