Karsten Borgwardt - Google Scholar Citations

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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 FeragenAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at diku.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	1281	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	1069	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	900	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	838	2011
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11 (Apr), 1201-1242, 2010	723	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	642	2011
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	622	2005
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	531	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	513	2006
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	505	2011
Efficient graphlet kernels for large graph comparison N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt Artificial Intelligence and Statistics, 488-495, 2009	482	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	395	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	362	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	268	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	260	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	252	2012
Fast subtree kernels on graphs N Shervashidze, K Borgwardt Advances in neural information processing systems, 1660-1668, 2009	218	2009
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	202	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	200	2016
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	198	2012

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