An approach to blind source separation based on temporal structure of speech signals N Murata, S Ikeda, A Ziehe Neurocomputing 41 (1-4), 1-24, 2001 | 646 | 2001 |
TDSEP—an efficient algorithm for blind separation using time structure A Ziehe, KR Müller International Conference on Artificial Neural Networks, 675-680, 1998 | 499 | 1998 |
Robustly estimating the flow direction of information in complex physical systems G Nolte, A Ziehe, VV Nikulin, A Schlögl, N Krämer, T Brismar, KR Müller Physical review letters 100 (23), 234101, 2008 | 438 | 2008 |
A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation A Ziehe, P Laskov, G Nolte, KR MÞller Journal of Machine Learning Research 5 (Jul), 777-800, 2004 | 313 | 2004 |
Unmixing hyperspectral data LC Parra, C Spence, P Sajda, A Ziehe, KR Müller Advances in neural information processing systems, 942-948, 2000 | 195 | 2000 |
Kernel-based nonlinear blind source separation S Harmeling, A Ziehe, M Kawanabe, KR Müller Neural Computation 15 (5), 1089-1124, 2003 | 172 | 2003 |
Artifact reduction in magnetoneurography based on time-delayed second-order correlations A Ziehe, KR Muller, G Nolte, BM Mackert, G Curio IEEE Transactions on biomedical Engineering 47 (1), 75-87, 2000 | 163 | 2000 |
The 2011 signal separation evaluation campaign (SiSEC2011):-audio source separation S Araki, F Nesta, E Vincent, Z Koldovský, G Nolte, A Ziehe, A Benichoux International Conference on Latent Variable Analysis and Signal Separation …, 2012 | 154 | 2012 |
Combining sparsity and rotational invariance in EEG/MEG source reconstruction S Haufe, VV Nikulin, A Ziehe, KR Müller, G Nolte NeuroImage 42 (2), 726-738, 2008 | 137 | 2008 |
A resampling approach to estimate the stability of one-dimensional or multidimensional independent components F Meinecke, A Ziehe, M Kawanabe, KR Muller IEEE transactions on biomedical engineering 49 (12), 1514-1525, 2002 | 129 | 2002 |
Learning invariant representations of molecules for atomization energy prediction G Montavon, K Hansen, S Fazli, M Rupp, F Biegler, A Ziehe, ... Advances in neural information processing systems 25, 440-448, 2012 | 128 | 2012 |
Adaptive on-line learning in changing environments N Murata, KR Müller, A Ziehe, S Amari Advances in neural information processing systems, 599-605, 1997 | 105 | 1997 |
Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation A Ziehe, M Kawanabe, S Harmeling, KR MÞller Journal of Machine Learning Research 4 (Dec), 1319-1338, 2003 | 100 | 2003 |
JADE TD: Combining higher-order statistics and temporal information for blind source separation (with noise) KR Müller, P Philips, A Ziehe | 90 | 1999 |
Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans G Wubbeler, A Ziehe, BM Mackert, KR Muller, L Trahms, C Curio IEEE Transactions on Biomedical Engineering 47 (5), 594-599, 2000 | 88 | 2000 |
Combining time-delayed decorrelation and ICA: Towards solving the cocktail party problem TW Lee, A Ziehe, R Orglmeister, T Sejnowski Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 84 | 1998 |
Measuring phase synchronization of superimposed signals FC Meinecke, A Ziehe, J Kurths, KR Müller Physical Review Letters 94 (8), 084102, 2005 | 75 | 2005 |
On-line learning in changing environments with applications in supervised and unsupervised learning N Murata, M Kawanabe, A Ziehe, KR Müller, S Amari Neural Networks 15 (4-6), 743-760, 2002 | 71 | 2002 |
Comparison of granger causality and phase slope index G Nolte, A Ziehe, N Krämer, F Popescu, KR Müller Causality: Objectives and Assessment, 267-276, 2010 | 60 | 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 |