Mikio L. Braun

Citované v

	Všetky	Od 2020
Citácie	2664	760
h-index	21	13
i10-index	28	15

180

135

200320042005200620072008200920102011201220132014201520162017201820192020202120222023202420259 27 39 50 80 86 111 127 129 117 145 149 143 167 180 149 158 159 149 145 146 142 19

Verejný prístup

všetky položky

6 článkov

3 články

dostupné

nedostupné

Na základe mandátov na financovanie

Spoluautori

Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyOverená e-mailová adresa na: tu-berlin.de
Joachim M. BuhmannETH ZurichOverená e-mailová adresa na: inf.ethz.ch
Cheng Soon OngData61, CSIRO, CanberraOverená e-mailová adresa na: anu.edu.au
Claudia SannelliMedtronicOverená e-mailová adresa na: medtronic.com
Nico GoernitzFreelancer | CTO | ex-postdoc@TU-BerlinOverená e-mailová adresa na: tu-berlin.de
Marius KloftProfessor, RPTU Kaiserslautern-LandauOverená e-mailová adresa na: cs.uni-kl.de
Grégoire MontavonGuest professor, Freie Universität BerlinOverená e-mailová adresa na: fu-berlin.de
Soeren SonnenburgMachine Learning ResearcherOverená e-mailová adresa na: tomtom.com
Tammo KruegerTU BerlinOverená e-mailová adresa na: tu-berlin.de
Alexander BinderChair Computer Vision, OvGU, Magdeburg, GermanyOverená e-mailová adresa na: ovgu.de
Dr. Nicole KrämerBoehringer IngelheimOverená e-mailová adresa na: boehringer-ingelheim.com
Matthias L. JugelUBIRCH GmbHOverená e-mailová adresa na: ubirch.com
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoOverená e-mailová adresa na: k.u-tokyo.ac.jp
Victoria StoddenAssociate Professor, University of Southern CaliforniaOverená e-mailová adresa na: stodden.net
Roger D. PengProfessor of Statistics and Data Sciences, University of Texas at AustinOverená e-mailová adresa na: austin.utexas.edu

Sledovať

Mikio L. Braun

TU Berlin (allumni)

Overená e-mailová adresa na: zalando.de - Domovská stránka

Machine Learning Social Media Analysis Big Data


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
Stability-based validation of clustering solutions T Lange, V Roth, ML Braun, JM Buhmann Neural computation 16 (6), 1299-1323, 2004	665	2004
The need for open source software in machine learning SÃ Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ... Journal of Machine Learning Research 8 (Oct), 2443-2466, 2007	284	2007
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), 10.7551, 2007	262	2007
A resampling approach to cluster validation V Roth, T Lange, M Braun, J Buhmann Compstat: Proceedings in Computational Statistics, 123-128, 2002	198	2002
Kernel Analysis of Deep Networks. G Montavon, ML Braun, KR Müller Journal of Machine Learning Research 12 (9), 2011	178	2011
On relevant dimensions in kernel feature spaces ML Braun, JM Buhmann, KR Müller The Journal of Machine Learning Research 9, 1875-1908, 2008	171	2008
Stability-based model selection T Lange, M Braun, V Roth, J Buhmann Advances in neural information processing systems 15, 2002	158	2002
Accurate error bounds for the eigenvalues of the kernel matrix ML Braun The Journal of Machine Learning Research 7, 2303-2328, 2006	94	2006
Hidden markov anomaly detection N Görnitz, M Braun, M Kloft International conference on machine learning, 1833-1842, 2015	84	2015
Fast cross-validation via sequential testing. T Krueger, D Panknin, ML Braun J. Mach. Learn. Res. 16 (1), 1103-1155, 2015	62	2015
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	53	2013
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	46	2007
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning ML Braun Universitäts-und Landesbibliothek Bonn, 2005	45	2005
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	35	2014
Estimating noise and dimensionality in BCI data sets: towards illiteracy comprehension C Sannelli, M Braun, M Tangermann, KR Müller na 1, 1-6, 2008	35	2008
Improving BCI performance by task-related trial pruning C Sannelli, M Braun, KR Müller Neural Networks 22 (9), 1295-1304, 2009	31	2009
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	26	2002
Language detection for short text messages in social media I Balazevic, M Braun, KR Müller arXiv preprint arXiv:1608.08515, 2016	23	2016
Toward brain-computer interfacing J Kohlmorgen, G Dornhege, M Braun, B Blankertz, KR Müller, G Curio, ... MIT press, 2007	23	2007
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	22	2015

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