| 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 | 2388 | 2007 |
| How to explain individual classification decisions D Baehrens, T Schroeter, S Harmeling, M Kawanabe, K Hansen, ... The Journal of Machine Learning Research 11, 1803-1831, 2010 | 1411 | 2010 |
| Direct importance estimation with model selection and its application to covariate shift adaptation M Sugiyama, S Nakajima, H Kashima, P Buenau, M Kawanabe Advances in neural information processing systems 20, 2007 | 1089 | 2007 |
| Machine learning in non-stationary environments: Introduction to covariate shift adaptation M Sugiyama, M Kawanabe MIT press, 2012 | 567 | 2012 |
| Direct importance estimation for covariate shift adaptation M Sugiyama, T Suzuki, S Nakajima, H Kashima, P Von Bünau, ... Annals of the Institute of Statistical Mathematics 60, 699-746, 2008 | 521 | 2008 |
| Toward unsupervised adaptation of LDA for brain–computer interfaces C Vidaurre, M Kawanabe, P von Bünau, B Blankertz, KR Müller IEEE Transactions on Biomedical Engineering 58 (3), 587-597, 2010 | 340 | 2010 |
| Invariant common spatial patterns: Alleviating nonstationarities in brain-computer interfacing B Blankertz, M Kawanabe, R Tomioka, F Hohlefeld, K Müller, V Nikulin Advances in neural information processing systems 20, 2007 | 326 | 2007 |
| Stationary common spatial patterns for brain–computer interfacing W Samek, C Vidaurre, KR Müller, M Kawanabe Journal of neural engineering 9 (2), 026013, 2012 | 278 | 2012 |
| Optimal cluster preserving embedding of nonmetric proximity data V Roth, J Laub, M Kawanabe, JM Buhmann IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (12), 1540 …, 2003 | 251 | 2003 |
| A new discriminative kernel from probabilistic models K Tsuda, M Kawanabe, G Rätsch, S Sonnenburg, KR Müller Advances in Neural Information Processing Systems 14, 2001 | 214 | 2001 |
| Divergence-based framework for common spatial patterns algorithms W Samek, M Kawanabe, KR Müller IEEE Reviews in Biomedical Engineering 7, 50-72, 2013 | 208 | 2013 |
| Kernel-based nonlinear blind source separation S Harmeling, A Ziehe, M Kawanabe, KR Müller Neural Computation 15 (5), 1089-1124, 2003 | 198 | 2003 |
| 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 | 137 | 2002 |
| Scanqa: 3d question answering for spatial scene understanding D Azuma, T Miyanishi, S Kurita, M Kawanabe proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 133 | 2022 |
| Information geometry of estimating functions in semi-parametric statistical models SI Amari, M Kawanabe | 132 | 1997 |
| Modeling sparse connectivity between underlying brain sources for EEG/MEG S Haufe, R Tomioka, G Nolte, KR Müller, M Kawanabe IEEE transactions on biomedical engineering 57 (8), 1954-1963, 2010 | 123 | 2010 |
| Learning a common dictionary for subject-transfer decoding with resting calibration H Morioka, A Kanemura, J Hirayama, M Shikauchi, T Ogawa, S Ikeda, ... NeuroImage 111, 167-178, 2015 | 122 | 2015 |
| Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation A Ziehe, M Kawanabe, S Harmeling, KR Müller The Journal of Machine Learning Research 4, 1319-1338, 2003 | 111 | 2003 |
| In Search of Non-Gaussian Components of a High-Dimensional Distribution. G Blanchard, M Kawanabe, M Sugiyama, V Spokoiny, KR Müller, ... Journal of Machine Learning Research 7 (2), 2006 | 105 | 2006 |
| 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 | 84 | 2002 |
