Publications

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)