Publications of Karsten Borgwardt

Stegle, O.; Lippert, C.; Mooij, J. M.; Lawrence, N.; Borgwardt, K.: Efficient inference in matrix-variate Gaussian models with iid observation noise. Advances in Neural Information Processing Systems 24 (NIPS 2011), pp. 630 - 638 (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), pp. 741 - 745 (2010)

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

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

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

Vishwanathan, S. V. N.; Schraudolph, N. N.; Kondor, R.; Borgwardt, K.: Graph Kernels. Journal of Machine Learning Research 11 (40), pp. 1201 - 1242 (2010)

Kondor, R.; Shervashidze, N.; Borgwardt, K. M.: The graphlet spectrum. Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09, pp. 529 - 536 (2009)

Lippert, C.; Stegle, O.; Ghahramani, Z.; Borgwardt, K. M.: A kernel method for unsupervised structured network inference. Artificial Intelligence and Statistics (AISTATS) 2009, pp. 368 - 375 (2009)

Shervashidze, N.; Borgwardt, K.: Fast subtree kernels on graphs. Advances in Neural Information Processing Systems 22 (NIPS 2009), pp. 1160 - 1668 (2009)

Shervashidze, N.; Vishwanathan, S. V. N.; Petri, T.; Mehlhorn, K.; Borgwardt, K.: Efficient graphlet kernels for large graph comparison. Proceedings of the Twelth International Conference on Artificial Intelligence and Statistics, PMLR 5, pp. 488 - 495 (2009)

Stegle, O.; Denby, K.; Wild, D. L.; Ghahramani, Z.; Borgwardt, K. M.: A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. Research in Computational Molecular Biology, pp. 201 - 216 (2009)

Stegle, O.; Denby, K.; Wild, D.; McHattie, S.; Mead, A.; Ghahramani, Z.; Borgwardt, K. M.: Discovering temporal patterns of differential gene expression in microarray time series. Lecture Notes in Informatics 157 "German Conference on Bioinformatics 2009", pp. 133 - 142 (2009)

Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P. S.; Yan, X.; Borgwardt, K. M.: Near-optimal supervised feature selection among frequent subgraphs. Proceedings of the 2009 SIAM International Conference on Data Mining, pp. 1067 - 1087 (2009)

Borgwardt, K.: Predicting phenotypic effects of gene perturbations in C. elegans using an integrated network model. BioEssays 30 (8), pp. 707 - 710 (2008)

Hübler, C.; Kriegel, H.-P.; Borgwardt, K.; Ghahramani, Z.: Metropolis Algorithms for Representative Subgraph Sampling. 2008 Eighth IEEE International Conference on Data Mining (ICDM), pp. 283 - 292 (2008)

Kondor, R.; Borgwardt, K. M.: The skew spectrum of graphs. Proceedings of the 25th international conference on Machine learning - ICML '08, pp. 496 - 503 (2008)

Pain, A.; Böhme, U.; Berry, A. E.; Mungall, K.; Finn, R. D.; Jackson, A. P.; Mourier, T.; Mistry, J.; Pasini, E. M.; Aslett, M. A. et al.; Balasubrammaniam, S.; Borgwardt, K.; Brooks, K.; Carret, C.; Carver, T. J.; Cherevach, I.; Chillingworth, T.; Clark, T. G.; Galinski, M. R.; Hall, N.; Harper, D.; Harris, D.; Hauser, H.; Ivens, A.; Janssen, C. S.; Keane, T.; Larke, N.; Lapp, S.; Marti, M.; Moule, S.; Meyer, I. M.; Ormond, D.; Peters, N.; Sanders, M.; Sanders, S.; Sargeant, T. J.; Simmonds, M.; Smith, F.; Squares, R.; Thurston, S.; Tivey, A. R.; Walker, D.; White, B.; Zuiderwijk, E.; Churcher, C.; Quail, M. A.; Cowman, A. F.; Turner, C. M. R.; Rajandream, M. A.; Kocken, C. H. M.; Thomas, A. W.; Newbold, C. I.; Barrell, B. G.; Berriman, M.: The genome of the simian and human malaria parasite Plasmodium knowlesi. Nature 455 (7214), pp. 799 - 803 (2008)

Borgwardt, K. M.; Kriegel, H.-P.; Vishwanathan, S. V. N.; Schraudolph, N. N.: Graph Kernels for Disease Outcome Prediction from Protein-Protein Interaction Networks. Pacific Symposium on Biocomputing, pp. 4 - 15 (2007)

Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Approach to Comparing Distributions. Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI 2007) 2, pp. 1637 - 1641 (2007)

Kriegel, H.-P.; Borgwardt, K. M.; Kröger, P.; Pryakhin, A.; Schubert, M.; Zimek, A.: Future trends in data mining. Data Mining and Knowledge Discovery 15 (1), pp. 87 - 97 (2007)