Karsten Borgwardt

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Alex SmolaAmazon Web ServicesAdresse e-mail validée de smola.org
Arthur GrettonGatsby Computational Neuroscience Unit, UCLAdresse e-mail validée de gatsby.ucl.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichAdresse e-mail validée de dbs.ifi.lmu.de
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergAdresse e-mail validée de dkfz.de
Bastian RieckAIDOS Lab, Institute of AI for Health, Helmholtz Zentrum MünchenAdresse e-mail validée de helmholtz-muenchen.de
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityAdresse e-mail validée de stat.purdue.edu
Detlef WeigelMax Planck Institute for Biology TübingenAdresse e-mail validée de weigelworld.org
Dominik G. GrimmProfessor of Bioinformatics at TUM Campus Straubing, HSWTAdresse e-mail validée de hswt.de
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamAdresse e-mail validée de hpi.de
Mahito SugiyamaAssociate Professor, National Institute of InformaticsAdresse e-mail validée de nii.ac.jp
Le SongGeorgia Institute of TechnologyAdresse e-mail validée de cc.gatech.edu
Felipe Llinares-LópezGoogle Research, Brain TeamAdresse e-mail validée de google.com
Risi KondorAssociate Professor, The University of ChicagoAdresse e-mail validée de cs.uchicago.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Chloé-Agathe AzencottMines ParisTechAdresse e-mail validée de mines-paristech.fr
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusAdresse e-mail validée de mpi-inf.mpg.de
Barbara RakitschBosch Center for AIAdresse e-mail validée de de.bosch.com
Cheng Soon OngData61, CSIRO, CanberraAdresse e-mail validée de anu.edu.au
Aasa FeragenProfessor, DTU ComputeAdresse e-mail validée de dtu.dk

Suivre

Karsten Borgwardt

Professor, ETH Zurich

Adresse e-mail validée de bsse.ethz.ch - Page d'accueil

Machine Learning Data Mining Bioinformatics Computational Biology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A kernel two-sample test A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola The Journal of Machine Learning Research 13 (1), 723-773, 2012	3373	2012
A kernel method for the two-sample-problem A Gretton, K Borgwardt, M Rasch, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	1680	2006
Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	1674	2006
Weisfeiler-lehman graph kernels. N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ... Journal of Machine Learning Research 12 (9), 2011	1551	2011
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11, 1201-1242, 2010	1179	2010
Integrating structured biological data by kernel maximum mean discrepancy KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola Bioinformatics 22 (14), e49-e57, 2006	1070	2006
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	1019	2005
Whole-genome sequencing of multiple Arabidopsis thaliana populations J Cao, K Schneeberger, S Ossowski, T Günther, S Bender, J Fitz, ... Nature genetics 43 (10), 956-963, 2011	1007	2011
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	913	2005
Efficient graphlet kernels for large graph comparison N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt Artificial intelligence and statistics, 488-495, 2009	892	2009
1,135 genomes reveal the global pattern of polymorphism in Arabidopsis thaliana C Alonso-Blanco, J Andrade, C Becker, F Bemm, J Bergelson, ... Cell 166 (2), 481-491, 2016	842	2016
Spontaneous epigenetic variation in the Arabidopsis thaliana methylome C Becker, J Hagmann, J Müller, D Koenig, O Stegle, K Borgwardt, ... Nature 480 (7376), 245-249, 2011	668	2011
Covariate shift by kernel mean matching A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf Dataset shift in machine learning 3 (4), 5, 2009	565	2009
Epigenomic diversity in a global collection of Arabidopsis thaliana accessions T Kawakatsu, SC Huang, F Jupe, E Sasaki, RJ Schmitz, MA Urich, ... Cell 166 (2), 492-505, 2016	445	2016
The genome of the simian and human malaria parasite Plasmodium knowlesi A Pain, U Böhme, AE Berry, K Mungall, RD Finn, AP Jackson, T Mourier, ... Nature 455 (7214), 799-803, 2008	445	2008
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	363	2012
Supervised feature selection via dependence estimation L Song, A Smola, A Gretton, KM Borgwardt, J Bedo Proceedings of the 24th international conference on Machine learning, 823-830, 2007	354	2007
Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis O Windram, P Madhou, S McHattie, C Hill, R Hickman, E Cooke, ... The Plant Cell 24 (9), 3530-3557, 2012	311	2012
Fast subtree kernels on graphs N Shervashidze, K Borgwardt Advances in neural information processing systems, 1660-1668, 2009	292	2009
The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity DG Grimm, CA Azencott, F Aicheler, U Gieraths, DG MacArthur, ... Human mutation 36 (5), 513-523, 2015	248	2015

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