Paul von Bünau

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Frank C. MeineckeDirector of Applied Machine Learning, TomTomVerified email at tomtom.com
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Franz J. KiralyChair of Data Science and Engineering at Institute of Industry-Academia InnovationVerified email at inf.elte.hu
Hisashi KashimaProfessor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Shinichi NakajimaBIFOLD, Technische Universität BerlinVerified email at tu-berlin.de
Taiji SuzukiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Jan Saputra Müllerresearch associate, TU BerlinVerified email at tu-berlin.de
Satoshi HaraProfessor, The University of Electro-CommunicationVerified email at uec.ac.jp
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
J. D. MitchellUniversity of St AndrewsVerified email at st-andrews.ac.uk
Akira-Sebastian PoncetteCharité – Universitätsmedizin BerlinVerified email at charite.de
Evelyn MedawarMax Planck Institute for Human Cognitive and Brain SciencesVerified email at cbs.mpg.de
Anne Rike FlintInstitute of Medical Informatics, Charité Universitätsmedizin BerlinVerified email at charite.de
Bert ArnrichProfessor, Digital Health - Connected Healthcare, Hasso Plattner Institute, University of PotsdamVerified email at hpi.de
Felix BalzerCharité - Universitätsmedizin BerlinVerified email at charite.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
Aldo BeniniConsultantVerified email at starpower.net
Danny PankninBerlin Institute of TechnologyVerified email at tu-berlin.de

Paul von Bünau

Managing Director (CEO) at idalab GmbH

Verified email at idalab.de - Homepage

machine learning artificial intelligence digital health computational biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1518*	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	1072	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	340	2011
Finding stationary subspaces in multivariate time series P von Bünau, FC Meinecke, FJ Király, KR Müller Physical review letters 103 (21), 214101, 2009	287	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	92	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	69	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	66	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	60	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	58	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
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
Advances in neural information processing systems M Sugiyama, S Nakajima, H Kashima, PV Buenau, M Kawanabe Springer, 2008	16	2008
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	13	2023
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	7	2012

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