Karsten Borgwardt - Google Scholar Citations

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Citations	14352	10738
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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; and Distinguished Amazon ScholarVerified 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
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamVerified email at hpi.de
Detlef WeigelMax Planck Institute for Developmental BiologyVerified email at weigelworld.org
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-LópezETH ZürichVerified email at bsse.ethz.ch
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
Justin BedoThe University of MelbourneVerified email at cua0.org
Aasa FeragenProfessor, DTU ComputeVerified email at dtu.dk
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au

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	Cited by	Year
A kernel two-sample test A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola Journal of Machine Learning Research 13 (Mar), 723-773, 2012	1393	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	1111	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	944	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	857	2011
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11 (Apr), 1201-1242, 2010	767	2010
Weisfeiler-lehman graph kernels N Shervashidze, P Schweitzer, EJ Leeuwen, K Mehlhorn, KM Borgwardt Journal of Machine Learning Research 12 (Sep), 2539-2561, 2011	703	2011
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	662	2005
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	567	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	553	2006
Efficient graphlet kernels for large graph comparison N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt Artificial Intelligence and Statistics, 488-495, 2009	525	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, 2011	522	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	427	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, 2008	373	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	293	2009
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	268	2007
Feature selection via dependence maximization L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (May), 1393-1434, 2012	263	2012
Fast subtree kernels on graphs N Shervashidze, K Borgwardt Advances in neural information processing systems, 1660-1668, 2009	224	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	218	2016
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	210	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	207	2012

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