Karsten Borgwardt - Google Scholar

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	All	Since 2015
Citations	16511	11709
h-index	47	41
i10-index	86	72

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Co-authors

Alex SmolaAmazon Web ServicesVerified email at smola.org
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergVerified email at dkfz.de
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Detlef WeigelMax Planck Institute for Developmental BiologyVerified email at weigelworld.org
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamVerified email at hpi.de
Dominik G. GrimmProfessor of Bioinformatics at TUM Campus Straubing, HSWTVerified email at hswt.de
Mahito SugiyamaAssociate Professor, National Institute of InformaticsVerified email at nii.ac.jp
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Felipe Llinares-LópezGoogle Research, Brain TeamVerified email at google.com
Risi KondorAssociate Professor, The University of ChicagoVerified email at cs.uchicago.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberVerified email at eng.cam.ac.uk
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Barbara RakitschBosch Center for AIVerified email at de.bosch.com
Chloé-Agathe AzencottMines ParisTechVerified email at mines-paristech.fr
Aasa FeragenProfessor, DTU ComputeVerified email at dtu.dk
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Daniel G MacArthurAnalytic and Translational Genetics Unit, Massachusetts General HospitalVerified email at atgu.mgh.harvard.edu

Karsten Borgwardt

Professor of Machine Learning in the Life Sciences at ETH Zurich

Verified email at bsse.ethz.ch - Homepage

Machine Learning Data Mining Bioinformatics Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1822	2012
Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, AJ Smola Advances in neural information processing systems, 601-608, 2007	1236	2007
A kernel method for the two-sample-problem A Gretton, K Borgwardt, M Rasch, B Schölkopf, AJ Smola Advances in neural information processing systems, 513-520, 2007	1109	2007
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, 2011	922	2011
Weisfeiler-lehman graph kernels. N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ... Journal of Machine Learning Research 12 (9), 2011	879	2011
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	868	2010
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	746	2005
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	650	2006
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	630	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	611	2009
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	569	2011
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	549	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	385	2008
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	352	2009
Feature selection via dependence maximization L Song, A Smola, A Gretton, J Bedo, K Borgwardt The Journal of Machine Learning Research 13 (1), 1393-1434, 2012	287	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	277	2007
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	268	2016
Fast subtree kernels on graphs N Shervashidze, K Borgwardt Advances in neural information processing systems, 1660-1668, 2009	241	2009
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	227	2012
Future trends in data mining HP Kriegel, KM Borgwardt, P Kröger, A Pryakhin, M Schubert, A Zimek Data Mining and Knowledge Discovery 15 (1), 87-97, 2007	213	2007

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