Frank C. Meinecke

According to our database1, Frank C. Meinecke authored at least 26 papers between 2001 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




On the interpretation of weight vectors of linear models in multivariate neuroimaging.
NeuroImage, 2014

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014

Parameter interpretation, regularization and source localization in multivariate linear models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Integration of Multivariate Data Streams With Bandpower Signals.
IEEE Trans. Multim., 2013

Transferring Subspaces Between Subjects in Brain-Computer Interfacing.
IEEE Trans. Biomed. Eng., 2013

Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2012

Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space.
NeuroImage, 2012

Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions.
NeuroImage, 2012

Regression for sets of polynomial equations.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Algebraic Geometric Comparison of Probability Distributions.
J. Mach. Learn. Res., 2012

Simultaneous and proportional control of 2D wrist movements with myoelectric signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Simultaneous Diagonalization of Skew-Symmetric Matrices in the Symplectic Group.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

The Stationary Subspace Analysis Toolbox.
J. Mach. Learn. Res., 2011

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

An Information Geometrical View of Stationary Subspace Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Temporal kernel CCA and its application in multimodal neuronal data analysis.
Mach. Learn., 2010

Stationary Subspace Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning invariances with Stationary Subspace Analysis.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

From outliers to prototypes: Ordering data.
Neurocomputing, 2006

Inlier-based ICA with an application to superimposed images.
Int. J. Imaging Syst. Technol., 2005

Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Injecting noise for analysing the stability of ICA components.
Signal Process., 2004

Blind Source Separation Techniques for Decomposing Event-Related Brain Signals.
Int. J. Bifurc. Chaos, 2004

Robust ICA for Super-Gaussian Sources.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components.
IEEE Trans. Biomed. Eng., 2002

Estimating the Reliability of ICA Projections.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001