Karsten Borgwardt

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Alex SmolaBoson AIEmail confirmado em smola.org
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindEmail confirmado em gatsby.ucl.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail confirmado em tuebingen.mpg.de
Bastian RieckProfessor, AIDOS Lab, University of FribourgEmail confirmado em unifr.ch
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichEmail confirmado em dbs.ifi.lmu.de
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergEmail confirmado em dkfz.de
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityEmail confirmado em stat.purdue.edu
Detlef WeigelMax Planck Institute for Biology TübingenEmail confirmado em weigelworld.org
Dominik G. GrimmProfessor, TUM Campus Straubing, HSWTEmail confirmado em hswt.de
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamEmail confirmado em hpi.de
Felipe Llinares-LópezCo-founder and Principal Research Scientist at BioptimusEmail confirmado em bioptimus.com
Mahito SugiyamaAssociate Professor, National Institute of InformaticsEmail confirmado em nii.ac.jp
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceEmail confirmado em biomap.com
Risi KondorAssociate Professor, The University of ChicagoEmail confirmado em cs.uchicago.edu
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusEmail confirmado em mpi-inf.mpg.de
Chloé-Agathe AzencottMines ParisTechEmail confirmado em mines-paristech.fr
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail confirmado em eng.cam.ac.uk
Barbara RakitschBosch Center for AIEmail confirmado em de.bosch.com
Aasa FeragenProfessor, DTU ComputeEmail confirmado em dtu.dk
Cheng Soon OngData61, CSIRO, CanberraEmail confirmado em anu.edu.au

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Karsten Borgwardt

Director, Max Planck Institute of Biochemistry

Email confirmado em biochem.mpg.de - Página inicial

Machine Learning Systems Biology Bioinformatics Computational Biology Data Mining


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	6086	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	2789	2006
Weisfeiler-lehman graph kernels. N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ... Journal of Machine Learning Research 12 (9), 2011	2579	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	2227	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	1794	2006
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt The Journal of Machine Learning Research 11, 1201-1242, 2010	1473	2010
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1401	2005
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	1353	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	1310	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	1249	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	1102	2011
Covariate shift by kernel mean matching A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf	838	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	789	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	678	2016
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	503	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	474	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	394	2015
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	386	2012
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	375	2020

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