Frank C. Meinecke

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Citations	4108	2012
h-index	21	14
i10-index	35	17

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerified email at bht-berlin.de
Paul von BünauManaging Director at idalab GmbHVerified email at idalab.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Stefan HarmelingProfessor at Technische Universität DortmundVerified email at tu-dortmund.de
Jan Saputra Müllerresearch associate, TU BerlinVerified email at tu-berlin.de
Janne M. HahneUniversity Medical Center, Georg-August University GoettingenVerified email at bccn.uni-goettingen.de
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYVerified email at ccny.cuny.edu
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
Tom EicheleHead of Clinical Neurophysiology, Haukeland university hospitalVerified email at helse-bergen.no
David TaxAssistant professor, Delft University of TechnologyVerified email at tudelft.nl
Gregor RainerProfessor, University of FribourgVerified email at unifr.ch
Thorsten DickhausProfessor of Mathematical Statistics at University of BremenVerified email at uni-bremen.de

Frank C. Meinecke

Director of Applied Machine Learning, TomTom

Verified email at tomtom.com - Homepage

Machine Learning Time Series Analysis Nonlinear Dynamics


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On the interpretation of weight vectors of linear models in multivariate neuroimaging S Haufe, F Meinecke, K Görgen, S Dähne, JD Haynes, B Blankertz, ... Neuroimage 87, 96-110, 2014	1365	2014
Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control JM Hahne, F Biessmann, N Jiang, H Rehbaum, D Farina, FC Meinecke, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (2 …, 2014	425	2014
Finding stationary subspaces in multivariate time series P Von Bünau, FC Meinecke, FC Király, KR Müller Physical review letters 103 (21), 214101, 2009	287	2009
Transferring subspaces between subjects in brain--computer interfacing W Samek, FC Meinecke, KR Müller IEEE Transactions on Biomedical Engineering 60 (8), 2289-2298, 2013	237	2013
Analysis of multimodal neuroimaging data F Biessmann, S Plis, FC Meinecke, T Eichele, KR Muller IEEE reviews in biomedical engineering 4, 26-58, 2011	192	2011
Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space A Ewald, L Marzetti, F Zappasodi, FC Meinecke, G Nolte Neuroimage 60 (1), 476-488, 2012	157	2012
SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters S Dähne, FC Meinecke, S Haufe, J Höhne, M Tangermann, KR Müller, ... NeuroImage 86, 111-122, 2014	149	2014
A resampling approach to estimate the stability of one-dimensional or multidimensional independent components FC Meinecke, A Ziehe, M Kawanabe, KR Müller Biomedical Engineering, IEEE Transactions on 49 (12), 1514-1525, 2002	137	2002
From outliers to prototypes: ordering data S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller Neurocomputing 69 (13-15), 1608-1618, 2006	134	2006
Temporal kernel CCA and its application in multimodal neuronal data analysis F Bießmann, FC Meinecke, A Gretton, A Rauch, G Rainer, NK Logothetis, ... Machine Learning 79, 5-27, 2010	117	2010
Finding stationary brain sources in EEG data P Von Bünau, FC Meinecke, S Scholler, KR Müller 2010 annual international conference of the IEEE engineering in medicine and …, 2010	92	2010
Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA Y Murayama, F Bieβmann, FC Meinecke, KR Müller, M Augath, ... Magnetic resonance imaging 28 (8), 1095-1103, 2010	85	2010
Measuring phase synchronization of superimposed signals FC Meinecke, A Ziehe, J Kurths, KR Müller Physical Review Letters 94 (8), 084102, 2005	79	2005
Feature extraction for change-point detection using stationary subspace analysis DAJ Blythe, P Von Bunau, FC Meinecke, KR Muller IEEE Transactions on Neural Networks and Learning Systems 23 (4), 631-643, 2012	67	2012
Blind source separation techniques for decomposing event-related brain signals KR Müller, R Vigário, F Meinecke, A Ziehe International Journal of Bifurcation and Chaos 14 (02), 773-791, 2004	65	2004
A mathematical model for the two-learners problem JS Müller, C Vidaurre, M Schreuder, FC Meinecke, P Von Bünau, ... Journal of neural engineering 14 (3), 036005, 2017	61	2017
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	52	2006
Simultaneous and proportional control of 2D wrist movements with myoelectric signals JM Hahne, H Rehbaum, F Biessmann, FC Meinecke, KR Müller, N Jiang, ... 2012 IEEE international workshop on machine learning for signal processing, 1-6, 2012	48	2012
Integration of multivariate data streams with bandpower signals S Dähne, F Biessmann, FC Meinecke, J Mehnert, S Fazli, KR Müller IEEE Transactions on Multimedia 15 (5), 1001-1013, 2013	38	2013
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions F Bießmann, Y Murayama, NK Logothetis, KR Müller, FC Meinecke NeuroImage 61 (4), 1031-1042, 2012	29	2012

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