Paul von Bünau

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, Germany確認したメールアドレス: tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute International確認したメールアドレス: atr.jp
Frank C. MeineckeDirector of Applied Machine Learning, TomTom確認したメールアドレス: tomtom.com
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo確認したメールアドレス: k.u-tokyo.ac.jp
Franz J. KiralyChair of Data Science and Engineering at Institute of Industry-Academia Innovation確認したメールアドレス: inf.elte.hu
Hisashi KashimaProfessor, Kyoto University確認したメールアドレス: i.kyoto-u.ac.jp
Shinichi NakajimaBIFOLD, Technische Universität Berlin確認したメールアドレス: tu-berlin.de
Taiji SuzukiThe University of Tokyo確認したメールアドレス: mist.i.u-tokyo.ac.jp
Jan Saputra Müllerresearch associate, TU Berlin確認したメールアドレス: tu-berlin.de
Satoshi HaraProfessor, The University of Electro-Communication確認したメールアドレス: uec.ac.jp
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology group確認したメールアドレス: tu-berlin.de
J. D. MitchellUniversity of St Andrews確認したメールアドレス: st-andrews.ac.uk
Akira-Sebastian PoncetteCharité – Universitätsmedizin Berlin確認したメールアドレス: charite.de
Evelyn MedawarMax Planck Institute for Human Cognitive and Brain Sciences確認したメールアドレス: cbs.mpg.de
Anne Rike FlintInstitute of Medical Informatics, Charité Universitätsmedizin Berlin確認したメールアドレス: charite.de
Bert ArnrichProfessor, Digital Health - Connected Healthcare, Hasso Plattner Institute, University of Potsdam確認したメールアドレス: hpi.de
Felix BalzerCharité - Universitätsmedizin Berlin確認したメールアドレス: charite.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD Fellow確認したメールアドレス: tu-berlin.de
Aldo BeniniConsultant確認したメールアドレス: starpower.net
Danny PankninBerlin Institute of Technology確認したメールアドレス: tu-berlin.de

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Paul von Bünau

Managing Director at idalab GmbH

確認したメールアドレス: idalab.de - ホームページ

machine learning artificial intelligence digital health computational biology


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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 (4), 699-746, 2008	1569*	2008
Direct importance estimation with model selection and its application to covariate shift adaptation M Sugiyama, S Nakajima, H Kashima, P von Bünau, M Kawanabe Advances in Neural Information Processing Systems 20, 1433-1440, 2008	1106	2008
Toward an unsupervised adaptation of LDA for Brain-Computer Interfaces C Vidaurre, M Kawanabe, P von Bünau, B Blankertz, KR Muller Biomedical Engineering, IEEE Transactions on, 1-1, 2011	346	2011
Finding stationary subspaces in multivariate time series P von Bünau, FC Meinecke, FJ Király, KR Müller Physical review letters 103 (21), 214101, 2009	288	2009
Finding stationary brain sources in EEG data P von Bünau, FC Meinecke, S Scholler, KR Müller Engineering in Medicine and Biology Society (EMBC), 2010 Annual …, 2010	93	2010
Separation of stationary and non-stationary sources with a generalized eigenvalue problem S Hara, Y Kawahara, T Washio, P von Bünau, T Tokunaga, K Yumoto Neural Networks, 2012	72	2012
Feature Extraction for Change-Point Detection using Stationary Subspace Analysis DAJ Blythe, P von Bünau, FC Meinecke, KR Müller Arxiv preprint arXiv:1108.2486, 2011	67	2011
A mathematical model for the two-learners problem JS Müller, C Vidaurre, M Schreuder, FC Meinecke, P Von Bünau, ... Journal of neural engineering 14 (3), 036005, 2017	61	2017
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search M Sugiyama, M Yamada, P von Bünau, T Suzuki, T Kanamori, ... Neural Networks 24 (2), 183-198, 2011	59	2011
Stationary subspace analysis as a generalized eigenvalue problem S Hara, Y Kawahara, T Washio, P von Bünau Neural Information Processing. Theory and Algorithms, 422-429, 2010	24	2010
The Stationary Subspace Analysis Toolbox JS Müller, P von Bünau, FC Meinecke, FJ Király, KR Müller Journal of Machine Learning Research 12, 3065-3069, 2011	21	2011
Computing automorphisms of semigroups J Araújo, P von Bünau, JD Mitchell, M Neunhoffer Journal of Symbolic Computation 45 (3), 373-392, 2010	21	2010
An information geometrical view of stationary subspace analysis M Kawanabe, W Samek, P von Bünau, F Meinecke Artificial Neural Networks and Machine Learning–ICANN 2011, 397-404, 2011	18	2011
A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study E Williams, M Kienast, E Medawar, J Reinelt, A Merola, SAI Klopfenstein, ... JMIR Medical Informatics 11, e43847, 2023	17	2023
Advances in neural information processing systems M Sugiyama, S Nakajima, H Kashima, PV Buenau, M Kawanabe Springer, 2008	17	2008
Algebraic Geometric Comparison of Probability Distributions. FJ Király, P Von Bünau, FC Meinecke, DAJ Blythe, KR Müller, K Fukumizu Journal of Machine Learning Research 13 (3), 2012	16	2012
Learning invariances with stationary subspace analysis FC Meinecke, P von Bünau, M Kawanabe, KR Muller Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International …, 2009	16	2009
Stationary subspace analysis P von Bünau, F Meinecke, KR Müller Independent Component Analysis and Signal Separation, 1-8, 2009	16	2009
Regression for sets of polynomial equations FJ Kiraly, P von Bünau, JS Müller, DAJ Blythe, F Meinecke, KR Müller AISTATS 2012, 2012	12	2012
Stationary subspace analysis: towards understanding non-stationary data P von Bünau Universitätsbibliothek der Technischen Universität Berlin, 2012	8	2012

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