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ORCIDNino Shervashidze
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2010 – 2019
- 2015
[j4]Nino Shervashidze, Francis R. Bach:
Learning the Structure for Structured Sparsity. IEEE Trans. Signal Process. 63(18): 4894-4902 (2015)- 2013
- [c4]Amr Ahmed, Nino Shervashidze, Shravan M. Narayanamurthy, Vanja Josifovski, Alexander J. Smola:
Distributed large-scale natural graph factorization. WWW 2013: 37-48 - 2011
- [j3]Karin Klotzbücher, Yasushi Kobayashi, Nino Shervashidze, Oliver Stegle, Bertram Müller-Myhsok, Detlef Weigel
, Karsten M. Borgwardt:
Efficient branch-and-bound techniques for two-locus association mapping. BMC Bioinform. 12(S-11): A3 (2011) - [j2]Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen, Kurt Mehlhorn, Karsten M. Borgwardt:
Weisfeiler-Lehman Graph Kernels. J. Mach. Learn. Res. 12: 2539-2561 (2011) - 2010
- [j1]Gustavo Camps-Valls, Nino Shervashidze, Karsten M. Borgwardt:
Spatio-Spectral Remote Sensing Image Classification With Graph Kernels. IEEE Geosci. Remote. Sens. Lett. 7(4): 741-745 (2010)
2000 – 2009
- 2009
- [c3]Risi Kondor, Nino Shervashidze, Karsten M. Borgwardt:
The graphlet spectrum. ICML 2009: 529-536 - [c2]Nino Shervashidze, Karsten M. Borgwardt:
Fast subtree kernels on graphs. NIPS 2009: 1660-1668 - [c1]Nino Shervashidze, S. V. N. Vishwanathan, Tobias Petri, Kurt Mehlhorn, Karsten M. Borgwardt:
Efficient graphlet kernels for large graph comparison. AISTATS 2009: 488-495
Coauthor Index
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