Karsten Borgwardt

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Alex SmolaBoson AIAdresse e-mail validée de smola.org
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindAdresse e-mail validée de gatsby.ucl.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
Bastian RieckProfessor, AIDOS Lab, University of FribourgAdresse e-mail validée de unifr.ch
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
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, TUM Campus Straubing, HSWTAdresse e-mail validée de hswt.de
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamAdresse e-mail validée de hpi.de
Felipe Llinares-LópezCo-founder and Principal Research Scientist at BioptimusAdresse e-mail validée de bioptimus.com
Mahito SugiyamaAssociate Professor, National Institute of InformaticsAdresse e-mail validée de nii.ac.jp
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceAdresse e-mail validée de biomap.com
Risi KondorAssociate Professor, The University of ChicagoAdresse e-mail validée de cs.uchicago.edu
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusAdresse e-mail validée de mpi-inf.mpg.de
Chloé-Agathe AzencottMines ParisTechAdresse e-mail validée de mines-paristech.fr
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Barbara RakitschBosch Center for AIAdresse e-mail validée de de.bosch.com
Aasa FeragenProfessor, DTU ComputeAdresse e-mail validée de dtu.dk
Cheng Soon OngData61, CSIRO, CanberraAdresse e-mail validée de anu.edu.au

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Karsten Borgwardt

Director, Max Planck Institute of Biochemistry

Adresse e-mail validée de biochem.mpg.de - Page d'accueil

Machine Learning Systems Biology Bioinformatics Computational Biology Data Mining


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	6197	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	2827	2006
Weisfeiler-lehman graph kernels. N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ... Journal of Machine Learning Research 12 (9), 2011	2620	2011
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	2251	2006
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	1824	2006
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	1483	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1412	2005
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	1362	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	1323	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	1260	2016
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	1109	2011
Covariate shift by kernel mean matching A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf	844	2008
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	793	2011
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	685	2016
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	508	2012
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	494	2008
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	478	2007
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	401	2015
Early prediction of circulatory failure in the intensive care unit using machine learning SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ... Nature medicine 26 (3), 364-373, 2020	395	2020
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	388	2012

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