Klaus-Robert Müller - Google Scholar Citations

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	All	Since 2014
Citations	66380	33321
h-index	111	87
i10-index	386	295

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Co-authors

Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; and Distinguished Amazon ScholarVerified email at tuebingen.mpg.de
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Wojciech SamekHead of Machine Learning Group, Fraunhofer HHI, GermanyVerified email at hhi.fraunhofer.de
Sebastian MikacomtravoVerified email at comtravo.com
Alex SmolaAmazon Web ServicesVerified email at smola.org
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Grégoire MontavonTechnische Universität BerlinVerified email at tu-berlin.de
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Matthias KrauledatRhine-Waal University of Applied SciencesVerified email at hochschule-rhein-waal.de
Frank C. MeineckeResearch Associate, TU BerlinVerified email at tu-berlin.de
Carmen VidaurreBerlin University of TechnologyVerified email at tu-berlin.de
Michael TangermannBrain State Decoding Lab and Autonomous Intelligent Systems Lab, University of Freiburg, GermanyVerified email at blbt.uni-freiburg.de
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
José del R. MillánCarol Cockrell Curran Endowed Chair Professor, University of Texas at Austin, Dept of Electrical andVerified email at austin.utexas.edu
Alexandre TkatchenkoProfessor of Physics, University of Luxembourg; Visiting Professor, Berlin Big Data CenterVerified email at uni.lu
Alexander BinderAssistant Prof., Singapore University of Technology and Design (SUTD)Verified email at sutd.edu.sg
Siamac FazliNazarbayev UniversityVerified email at nu.edu.kz
Claudia SannelliMedtronicVerified email at medtronic.com
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp

Klaus-Robert Müller

Professor for Machine Learning, TU Berlin, Germany and Korea University, Seoul, Korea and MPII

Verified email at tu-berlin.de

Machine learning artificial intelligence big data computational neuroscience


Title	Cited by	Year
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	8285	1998
An introduction to kernel-based learning algorithms KR Muller, S Mika, G Ratsch, K Tsuda, B Scholkopf IEEE Transactions on Neural Networks 12 (2), 181 - 201, 2001	4058	2001
Fisher discriminant analysis with kernels S Mika, G Ratsch, J Weston, B Scholkopf, KR Muller Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE …, 1999	2991	1999
Efficient backprop Y LeCun, L Bottou, G Orr, KR Müller Neural networks: Tricks of the trade 7700, 9-53, 2012	2938	2012
Kernel principal component analysis B Schölkopf, A Smola, KR Müller Artificial Neural Networks—ICANN'97, 583-588, 1997	2048	1997
Input space versus feature space in kernel-based methods B Schölkopf, S Mika, CJC Burges, P Knirsch, KR Müller, G Rätsch, ... IEEE transactions on neural networks 10 (5), 1000-1017, 1999	1451	1999
Optimizing spatial filters for robust EEG single-trial analysis B Blankertz, R Tomioka, S Lemm, M Kawanabe, KR Muller IEEE Signal processing magazine 25 (1), 41-56, 2007	1425	2007
Soft margins for AdaBoost G Rätsch, T Onoda, KR Müller Machine learning 42 (3), 287-320, 2001	1324	2001
Predicting time series with support vector machines KR Müller, A Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik Artificial Neural Networks—ICANN'97, 999-1004, 1997	1075	1997
Kernel PCA and de-noising in feature spaces S Mika, B Schölkopf, AJ Smola, KR Müller, M Scholz, G Rätsch Advances in neural information processing systems, 536-542, 1999	1039	1999
Single-trial analysis and classification of ERP components—a tutorial B Blankertz, S Lemm, M Treder, S Haufe, KR Müller NeuroImage 56 (2), 814-825, 2011	822	2011
The connection between regularization operators and support vector kernels AJ Smola, B Schölkopf, KR Müller Neural networks 11 (4), 637-649, 1998	742	1998
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials B Blankertz, KR Muller, G Curio, TM Vaughan, G Schalk, JR Wolpaw, ... IEEE transactions on biomedical engineering 51 (6), 1044-1051, 2004	716	2004
The non-invasive Berlin brain–computer interface: fast acquisition of effective performance in untrained subjects B Blankertz, G Dornhege, M Krauledat, KR Müller, G Curio NeuroImage 37 (2), 539-550, 2007	709	2007
The BCI competition III: Validating alternative approaches to actual BCI problems B Blankertz, KR Muller, DJ Krusienski, G Schalk, JR Wolpaw, A Schlogl, ... IEEE transactions on neural systems and rehabilitation engineering 14 (2 …, 2006	700	2006
Fast and accurate modeling of molecular atomization energies with machine learning M Rupp, A Tkatchenko, KR Müller, OA Von Lilienfeld Physical review letters 108 (5), 058301, 2012	677	2012
Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges JR Millán, R Rupp, G Müller-Putz, R Murray-Smith, C Giugliemma, ... Frontiers in neuroscience 4, 161, 2010	639	2010
Toward Brain-Computer Interfacing G Dornhege, JR Millán, T Hinterberger, DJ McFarland, KR Müller The MIT Press, 2007	602	2007
Engineering support vector machine kernels that recognize translation initiation sites A Zien, G Rätsch, S Mika, B Schölkopf, T Lengauer, KR Müller Bioinformatics 16 (9), 799-807, 2000	586	2000
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation S Bach, A Binder, G Montavon, F Klauschen, KR Müller, W Samek PloS one 10 (7), e0130140, 2015	580	2015

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