Mikio L. Braun
Mikio L. Braun
TU Berlin (allumni)
Verified email at getyourguide.de - Homepage
Title
Cited by
Cited by
Year
Stability-based validation of clustering solutions
T Lange, V Roth, ML Braun, JM Buhmann
Neural computation 16 (6), 1299-1323, 2004
5442004
Implementing reproducible research
V Stodden, F Leisch, RD Peng
CRC Press, 2014
2682014
The need for open source software in machine learning
S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
2152007
Improving human performance in a real operating environment through real-time mental workload detection
J Kohlmorgen, G Dornhege, M Braun, B Blankertz, KR Müller, G Curio, ...
Toward Brain-Computer Interfacing 409422, 409-422, 2007
2052007
A resampling approach to cluster validation
V Roth, T Lange, M Braun, J Buhmann
Compstat, 123-128, 2002
1792002
Stability-based model selection
T Lange, M Braun, V Roth, J Buhmann
Advances in neural information processing systems 15, 633-642, 2002
1422002
On relevant dimensions in kernel feature spaces
ML Braun, JM Buhmann, KR Müller
The Journal of Machine Learning Research 9, 1875-1908, 2008
1332008
Kernel Analysis of Deep Networks.
G Montavon, ML Braun, KR Müller
Journal of Machine Learning Research 12 (9), 2011
1182011
Accurate error bounds for the eigenvalues of the kernel matrix
ML Braun
The Journal of Machine Learning Research 7, 2303-2328, 2006
602006
Hidden markov anomaly detection
N Görnitz, M Braun, M Kloft
International conference on machine learning, 1833-1842, 2015
482015
Analyzing local structure in kernel-based learning: Explanation, complexity, and reliability assessment
G Montavon, ML Braun, T Krueger, KR Muller
IEEE Signal Processing Magazine 30 (4), 62-74, 2013
472013
Kernelizing PLS, degrees of freedom, and efficient model selection
N Krämer, ML Braun
Proceedings of the 24th international conference on Machine learning, 441-448, 2007
412007
Fast cross-validation via sequential testing.
T Krueger, D Panknin, ML Braun
J. Mach. Learn. Res. 16 (1), 1103-1155, 2015
382015
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
ML Braun
Universitäts-und Landesbibliothek Bonn, 2005
332005
Estimating noise and dimensionality in BCI data sets: towards illiteracy comprehension
C Sannelli, M Braun, M Tangermann, KR Müller
na 1, 1-6, 2008
282008
Improving BCI performance by task-related trial pruning
C Sannelli, M Braun, KR Müller
Neural Networks 22 (9), 1295-1304, 2009
242009
Stability-based model order selection in clustering with applications to gene expression data
V Roth, ML Braun, T Lange, JM Buhmann
International Conference on Artificial Neural Networks, 607-612, 2002
232002
Learning and evaluation in presence of non-iid label noise
N Görnitz, A Porbadnigk, A Binder, C Sannelli, M Braun, KR Müller, ...
Artificial Intelligence and Statistics, 293-302, 2014
202014
Deep Boltzmann machines as feed-forward hierarchies
G Montavon, M Braun, KR Muller
Artificial Intelligence and Statistics, 798-804, 2012
182012
Extracting latent brain states—Towards true labels in cognitive neuroscience experiments
AK Porbadnigk, N Görnitz, C Sannelli, A Binder, M Braun, M Kloft, ...
NeuroImage 120, 225-253, 2015
172015
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