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Prof. Dr. Klaus-Robert Müller

E-Mail:

Klaus-Robert.Mueller[at]first.fraunhofer.de

Picture of Müller, Klaus-Robert, Prof. Dr.

Klaus-Robert Müller

Position: Research Scientist Unit: Alumni Schölkopf

Publications

Articles (15):
•	Biessmann F , Murayama Y , Logothetis NK , Müller KR and Meinecke FC (April-2012) Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions NeuroImage Epub ahead.
•	Murayama Y , Biessmann F , Meinecke FC , Müller K-R , Augath M , Oeltermann A and Logothetis NK (October-2010) Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA Magnetic Resonance Imaging 28(8) 1095-1103.
•	Baehrens D , Schroeter T , Harmeling S , Kawanabe M , Hansen K and Müller K-R (June-2010) How to Explain Individual Classification Decisions Journal of Machine Learning Research 11 1803-1831.
•	Biessmann F , Meinecke FC , Gretton A , Rauch A , Rainer G , Logothetis NK and Müller K-R (May-2010) Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis Machine Learning 79(1-2) 5-27.
•	Sonnenburg S , Braun ML , Ong CS , Bengio S , Bottou L , Holmes G , LeCun Y , Müller K-R , Pereira F , Rasmussen CE , Rätsch G , Schölkopf B , Smola A , Vincent P , Weston J and Williamson RC (October-2007) The Need for Open Source Software in Machine Learning Journal of Machine Learning Research 8 2443-2466.
•	Harmeling S , Dornhege G , Tax D , Meinecke F and Müller K-R (August-2006) From outliers to prototypes: Ordering data Neurocomputing 69(13-15) 1608-1618.
•	Meinecke F , Harmeling S and Müller K-R (July-2005) Inlier-based ICA with an application to superimposed images International Journal of Imaging Systems and Technology 15(1) 48-55.
•	Harmeling S , Meinecke F and Müller K-R (February-2004) Injecting noise for analysing the stability of ICA components Signal Processing 84(2) 255-266.
•	Ziehe A , Kawanabe M , Harmeling S and Müller K-R (November-2003) Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation Journal of Machine Learning Research 4(7-8) 1319-1338.
•	Mika S , Rätsch G , Weston J , Schölkopf B , Smola AJ and Müller K-R (May-2003) Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces IEEE Transactions on Pattern Analysis and Machine Intelligence 25(5) 623-628.
•	Harmeling S , Ziehe A , Kawanabe M and Müller K-R (May-2003) Kernel-based nonlinear blind source separation Neural Computation 15(5) 1089-1124.
•	Rätsch G , Mika S , Schölkopf B and Müller K-R (September-2002) Constructing Boosting algorithms from SVMs: an application to one-class classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(9) 1184-1199.
•	Müller K-R , Mika S , Rätsch G , Tsuda K and Schölkopf B (March-2001) An Introduction to Kernel-Based Learning Algorithms IEEE Transactions on Neural Networks 12(2) 181-201.
•	Zien A , Rätsch G , Mika S , Schölkopf B , Lengauer T and Müller K-R (September-2000) Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites Bioinformatics 16(9) 799-807.
•	Smola AJ , Schölkopf B and Müller K-R (June-1998) The connection between regularization operators and support vector kernels. Neural Networks 11(4) 637-649.
Conference papers (7):
•	Laub J , Macke JH , Müller K-R and Wichmann FA (September-2007) Inducing Metric Violations in Human Similarity Judgements In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 777-784.
•	Meinecke F , Harmeling S and Müller K-R (October-2004) Robust ICA for Super-Gaussian Sources In: ICA 2004, Fifth International Conference on Independent Component Analysis and Blind Signal Separation, Springer, Berlin, Germany, 217-224.
•	Harmeling S , Meinecke F and Müller K-R (April-2003) Analysing ICA component by injection noise In: ICA 2003, 4th International Symposium on Independent Component Analysis and Blind Signal Separation, 149-154.
•	Ziehe A , Kawanabe M , Harmeling S and Müller K-R (April-2003) Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation In: ICA 2003, 4th International Symposium on Independent Component Analysis and Blind Signal Separation, 269-274.
•	Harmeling S , Ziehe A , Kawanabe M and Müller K-R (September-2002) Kernel feature spaces and nonlinear blind source separation In: Advances in Neural Information Processing Systems 14, Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), MIT Press, Cambridge, MA, USA, 761-768.
•	Harmeling S , Ziehe A , Kawanabe M , Blankertz B and Müller K-R (December-2001) Nonlinear blind source separation using kernel feature spaces In: ICA 2001, Third International Workshop on Independent Component Analysis and Blind Signal Separation, 102-107.
•	Ziehe A , Kawanabe M , Harmeling S and Müller K-R (December-2001) Separation of post-nonlinear mixtures using ACE and temporal decorrelation In: ICA 2001, Third International Workshop on Independent Component Analysis and Blind Signal Separation, 433-438.
Contributions to books (1):
•	Rätsch G , Schölkopf B , Smola AJ , Mika S , Onoda T and Müller K-R : Robust ensemble learning, 207-220. In: Advances in Large Margin Classifiers, (Ed) A. J. Smola, MIT Press, Cambridge, MA, USA, (October-2000).
Posters (2):
•	Biessmann F , Murayama Y , Meinecke FC , Logothetis NK and Müller K-R (June-2010): Spatio-Temporal Coupling between Neural Activity and Bold Response in Primary Visual Cortex, AREADNE 2010: Research in Encoding And Decoding of Neural Ensembles, 2010 51.
•	Biessmann F , Rauch A , Meinecke F , Zhang X , Rainer G , Müller K-R and Logothetis NK (July-2008): Investigating the relationship between pharmacological MRI and electrophysiology using Canonical Correlation Analysis, 6th Forum of European Neuroscience (FENS 2008), 6(123.3).
Talks (1):
•	Zien A , Rätsch G , Mika S , Schölkopf B , Lemmen C , Smola A , Lengauer T and Müller K-R (October-1999): Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites, German Conference on Bioinformatics (GCB‘99), Heidelberg, Germany.