Publikationen von N Shervashidze

Shervashidze, N.; Schweitzer, P.; van Leeuwen , E.; Mehlhorn, K.; Borgwardt, M.: Weisfeiler-Lehman Graph Kernels. The Journal of Machine Learning Research 12, S. 2539 - 2561 (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)

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)

Kondor, R.; Shervashidze, N.; Borgwardt, K.: The graphlet spectrum. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, S. 529 - 536 (Hg. Danyluk, A.; Bottou, L.; Littman, M.). 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, 14. Juni 2009 - 18. Juni 2009. ACM Press, New York, NY, 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)

Klotzbücher, K.; Kobayashi, Y.; Shervashidze, N.; Stegle, O.; Müller-Myhsok, B.; Weigel, D.; Borgwardt, K.: Efficient branch-and-bound techniques for two-locus association mapping. In BMC Bioinformatics, 12 (Supplement 11), A3. Seventh International Society for Computational Biology (ISCB) Student Council Symposium 2011, Wien, Austria, 15. Juli 2011. BioMed Central (2011)

Kondor, R.; Shervashidze, N.; Borgwardt, K.: Invariant Representations of Molecules via Harmonic Analysis on the Symmetric Group. In NIPS 2010 Workshop: Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning, S. 19. NIPS 2010 Workshop: Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning, Whistler, BC, Canada, 11. Dezember 2010 - 12. Dezember 2010. (2010)

Shervashidze, N.; Tsuda, K.: Logistic Regression for Graph Classification. In NIPS 2008: Mini Symposia & Workshops, S. 75. NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008), Whistler, BC, Canada, 12. Dezember 2008. (2008)

Borgwardt, K.; Shervashidze, N.: Advanced graph kernels: The Weisfeiler-Lehman Kernel. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Borgwardt, K.; Shervashidze, N.; Vishwanathan, S.; Petri, T.; Mehlhorn, K.: Advanced graph kernels: Graphlet Kernels. Computational Approaches for Analyzing Complex Biological Systems 2010, Tübingen, Germany (2010)

Klotzbücher, K.; Kobayashi, Y.; Shervashidze, N.; Borgwardt, K.; Weigel, D.: A flowering-time gene network model for association analysis in Arabidopsis thaliana. German Conference on Bioinformatics (GCB 2009), Halle, Germany (2009)