Frank C. Meinecke

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	All	Since 2015
Citations	2641	1677
h-index	20	16
i10-index	36	17

340

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20032004200520062007200820092010201120122013201420152016201720182019202016 37 31 51 50 37 45 54 87 151 121 253 275 236 300 272 328 266

Co-authors

Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Felix BiessmannEinstein Center Digital Future, Beuth University, Amazon ResearchVerified email at beuth-hochschule.de
Paul von Bünauidalab 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 Heinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Jan Saputra Müllerresearch associate, TU BerlinVerified email at tu-berlin.de
Gregor RainerProfessor, University of FribourgVerified email at unifr.ch
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 SamekHead of Machine Learning Group, Fraunhofer HHI, GermanyVerified email at hhi.fraunhofer.de
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Tom EicheleHead of Clinical Neurophysiology, Department of Neurology, Haukeland university hospitalVerified email at helse-bergen.no
David TaxAssistant professor, Delft University of TechnologyVerified email at tudelft.nl
Thorsten DickhausProfessor of Mathematical Statistics at University of BremenVerified email at uni-bremen.de

Frank C. Meinecke

Research Associate, TU Berlin

Verified email at tu-berlin.de

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	664	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	253	2014
Finding stationary subspaces in multivariate time series P Von Bünau, FC Meinecke, FC Király, KR Müller Physical review letters 103 (21), 214101, 2009	217	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	133	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	133	2011
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	126	2002
From outliers to prototypes: ordering data S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller Neurocomputing 69 (13-15), 1608-1618, 2006	107	2006
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	96	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	92	2014
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 (1-2), 5-27, 2010	92	2010
Measuring phase synchronization of superimposed signals FC Meinecke, A Ziehe, J Kurths, KR Müller Physical Review Letters 94 (8), 084102, 2005	74	2005
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	68	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	62	2010
Blind source separation techniques for decomposing event-related brain signals KR Müller, R Vigario, F Meinecke, A Ziehe International Journal of Bifurcation and Chaos 14 (02), 773-791, 2004	58	2004
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	46	2012
Identifying interactions in mixed and noisy complex systems G Nolte, FC Meinecke, A Ziehe, KR Müller Physical Review E 73 (5), 051913, 2006	44	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	35	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	32	2013
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	21	2017
Injecting noise for analysing the stability of ICA components S Harmeling, F Meinecke, KR Müller Signal Processing 84 (2), 255-266, 2004	21	2004

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