Publikationen von K Borgwardt

Gärtner, M.; Ghisu, M.; Scheidegger, M.; Bönke, L.; Fan, Y.; Stippl, A.; Herrera-Melendez, A.; Metz, S.; Winnebeck, E.; Fissler, M. et al.; Henning, A.; Bajbouj, M.; Borgwardt, K.; Barnhofer, T.; Grimm, S.: Aberrant working memory processing in major depression: evidence from multivoxel pattern classification. Neuropsychopharmacology 43 (9), S. 1972 - 1979 (2018)

Kam-Thong, T.; Czamara, D.; Tsuda, K.; Borgwardt, K.; Lewis, C.; Erhardt-Lehmann , A.; Hemmer, B.; Rieckmann, P.; Daake, M.; Weber, F. et al.; Wolf, C.; Ziegler, A.; Pütz, B.; Holsboer , F.; Schölkopf, B.; Müller-Myhsok, B.: EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units. European Journal of Human Genetics 19 (4), S. 465 - 471 (2011)

Camps-Valls, G.; Shervashidze, N.; Borgwardt, K.: Spatio-Spectral Remote Sensing Image Classification With Graph Kernels. IEEE Geoscience and Remote Sensing Letters 7 (4), S. 741 - 745 (2010)

Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P.; Yan, X.; Borgwardt, K.: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3 (5), S. 302 - 318 (2010)

Stegle, O.; Denby, K.; Cooke, E.; Wild, D.; Ghahramani, Z.; Borgwardt, K.: A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. Journal of Computational Biology 17 (3), S. 355 - 367 (2010)

Stegle, O.; Drewe, P.; Bohnert, R.; Borgwardt, K.; Rätsch, G.: Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts. Nature Precedings 2010, S. 1 - 11 (2010)

Lippert, C.; Ghahramani, Z.; Borgwardt, K.: Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics 26 (7), S. 912 - 918 (2010)

Vishwanathan, S.; Schraudolph, N.; Kondor, R.; Borgwardt, K.: Graph Kernels. Journal of Machine Learning Research 11, S. 1201 - 1242 (2010)

Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, 8, S. 131 - 160 (Hg. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)

Wackersreuther, B.; Wackersreuther, P.; Oswald, A.; Böhm, C.; Borgwardt, K.: Frequent subgraph discovery in dynamic networks. In: MLG '10: Proceedings of the Eighth Workshop on Mining and Learning with Graphs, S. 155 - 162. Eighth Workshop on Mining and Learning with Graphs (MLG '10), Washington, DC, USA, 24. Juli 2010 - 25. Juli 2010. ACM Press, New York, NY, USA (2010)

Shervashidze, N.; Borgwardt, K.: Fast subtree kernels on graphs. In: Advances in Neural Information Processing Systems 22, S. 1660 - 1668 (Hg. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, 07. Dezember 2009 - 10. Dezember 2009. Curran, Red Hook, NY, USA (2010)

Stegle, O.; Denby, K.; Wild, D.; McHattie, S.; Mead, A.; Ghahramani, Z.; Borgwardt, K.: Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. In: German Conference on Bioinformatics 2009 (GCB 2009), S. 133 - 142 (Hg. Grosse, I.; Neumann, S.; Posch, S.; Schreiber, F.; Stadler, P.). German Conference on Bioinformatics 2009 (GCB 2009), Halle, Germany, 28. September 2009 - 30. September 2009. Gesellschaft für Informatik, Bonn, Germany (2009)

Stegle, O.; Denby, K.; Wild, D.; Ghahramani, Z.; Borgwardt, K.: A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. In: Research in Computational Molecular Biology: 13th Annual International Conference, RECOMB 2009, Tucson, AZ, USA, May 18-21, 2009, S. 201 - 216 (Hg. Batzoglou, S.). 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2009), Tucson, AZ, USA, 18. Mai 2009 - 21. Mai 2009. Springer, Berlin, Germany (2009)

Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P.; Yan, X.; Borgwardt, K.: Near-optimal supervised feature selection among frequent subgraphs. In: 9th SIAM Conference on Data Mining (SDM 2009), S. 1076 - 1087 (Hg. Park, H.; Parthasarathy, S.; Liu, H.). 9th SIAM Conference on Data Mining (SDM 2009), Sparks, NV, USA, 30. April 2009 - 02. Mai 2009. Philadelphia, PA, USA, Society for Industrial and Applied Mathematics (2009)

Lippert, C.; Stegle, O.; Ghahramani, Z.; Borgwardt, K.: A kernel method for unsupervised structured network inference. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), S. 368 - 375 (Hg. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, 16. April 2009 - 18. April 2009. MIT Press, Cambridge, MA, USA (2009)

Shervashidze, N.; Vishwanathan , S.; Petri, T.; Mehlhorn, K.; Borgwardt, K.: Efficient Graphlet Kernels for Large Graph Comparison. In: Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), S. 488 - 495 (Hg. Van Dyk, D.; Welling, M.). Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), Clearwater Beach, FL, USA, 16. April 2009 - 18. April 2009. MIT Press, Cambridge, MA, USA (2009)

Song, L.; Smola, A.; Borgwardt, K.; Gretton, A.: Colored Maximum Variance Unfolding. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1385 - 1392 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)

Borgwardt, K.; Yan, X.; Thoma, M.; Cheng, H.; Gretton, A.; Song, L.; Smola, A.; Han, J.; Hu, P.; Kriegel, H.-P.: Combining near-optimal feature selection with gSpan. In: 6th International Workshop on Mining and Learning with Graphs (MLG 2008), S. 1 - 3. 6th International Workshop on Mining and Learning with Graphs (MLG 2008), Helsinki, Finland, 04. Juli 2008 - 05. Juli 2008. (2008)

Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, S. 513 - 520 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)

Huang, J.; Smola, A.; Gretton, A.; Borgwardt, K.; Schölkopf, B.: Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, S. 601 - 608 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)