Paul von Bünau

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Indice H	16	9
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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail verificata su tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalEmail verificata su atr.jp
Frank C. MeineckeDirector of Applied Machine Learning, TomTomEmail verificata su tomtom.com
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoEmail verificata su k.u-tokyo.ac.jp
Franz J. KiralyChair of Data Science and Engineering at Institute of Industry-Academia InnovationEmail verificata su inf.elte.hu
Hisashi KashimaProfessor, Kyoto UniversityEmail verificata su i.kyoto-u.ac.jp
Shinichi NakajimaBIFOLD, Technische Universität BerlinEmail verificata su tu-berlin.de
Taiji SuzukiThe University of TokyoEmail verificata su mist.i.u-tokyo.ac.jp
Jan Saputra Müllerresearch associate, TU BerlinEmail verificata su tu-berlin.de
Satoshi HaraProfessor, The University of Electro-CommunicationEmail verificata su uec.ac.jp
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupEmail verificata su tu-berlin.de
J. D. MitchellUniversity of St AndrewsEmail verificata su st-andrews.ac.uk
Akira-Sebastian PoncetteCharité – Universitätsmedizin BerlinEmail verificata su charite.de
Evelyn MedawarMax Planck Institute for Human Cognitive and Brain SciencesEmail verificata su cbs.mpg.de
Anne Rike FlintInstitute of Medical Informatics, Charité Universitätsmedizin BerlinEmail verificata su charite.de
Bert ArnrichProfessor, Digital Health - Connected Healthcare, Hasso Plattner Institute, University of PotsdamEmail verificata su hpi.de
Felix BalzerCharité - Universitätsmedizin BerlinEmail verificata su charite.de
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowEmail verificata su tu-berlin.de
Aldo BeniniConsultantEmail verificata su starpower.net
Danny PankninBerlin Institute of TechnologyEmail verificata su tu-berlin.de

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Paul von Bünau

Managing Director at idalab GmbH

Email verificata su idalab.de - Home page

machine learning artificial intelligence digital health computational biology


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1572*	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	1109	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	63	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
Computing automorphisms of semigroups J Araújo, P von Bünau, JD Mitchell, M Neunhoffer Journal of Symbolic Computation 45 (3), 373-392, 2010	22	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
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
Advances in neural information processing systems M Sugiyama, S Nakajima, H Kashima, PV Buenau, M Kawanabe Springer, 2008	18	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	17	2023
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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