| 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 | 2260 | 2012 |
| Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola Advances in neural information processing systems 19, 601-608, 2006 | 1422 | 2006 |
| 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, 513-520, 2006 | 1319 | 2006 |
| Weisfeiler-lehman graph kernels. N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ... Journal of Machine Learning Research 12 (9), 2011 | 1083 | 2011 |
| Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11, 1201-1242, 2010 | 1003 | 2010 |
| 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 | 961 | 2011 |
| Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005 | 849 | 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 | 782 | 2006 |
| Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005 | 721 | 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 | 715 | 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 | 640 | 2016 |
| 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 | 607 | 2011 |
| 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 | 435 | 2009 |
| 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 | 402 | 2008 |
| 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 | 333 | 2016 |
| Feature selection via dependence maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012 | 324 | 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 | 307 | 2007 |
| Fast subtree kernels on graphs N Shervashidze, K Borgwardt Advances in neural information processing systems, 1660-1668, 2009 | 270 | 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 | 266 | 2012 |
| Pattern mining in frequent dynamic subgraphs KM Borgwardt, HP Kriegel, P Wackersreuther Sixth International Conference on Data Mining (ICDM'06), 818-822, 2006 | 245* | 2006 |
Alex SmolaAmazon Web ServicesAdresse e-mail validée de smola.org
