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Publications of Author

1. Johannes Aßfalg, Karsten M. Borgwardt, Hans-Peter Kriegel
   3DString: a feature string kernel for 3D object classification on voxelized data. [Citation Graph (0, 0)][DBLP]
   CIKM, 2006, pp:198-207 [Conf]
   
2. Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola
   Joint Regularization. [Citation Graph (0, 0)][DBLP]
   ESANN, 2005, pp:455-460 [Conf]
   
3. Karsten M. Borgwardt, Hans-Peter Kriegel
   Shortest-Path Kernels on Graphs. [Citation Graph (0, 0)][DBLP]
   ICDM, 2005, pp:74-81 [Conf]
   
4. Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther
   Pattern Mining in Frequent Dynamic Subgraphs. [Citation Graph (0, 0)][DBLP]
   ICDM, 2006, pp:818-822 [Conf]
   
5. Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola
   Integrating structured biological data by Kernel Maximum Mean Discrepancy. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2006, pp:49-57 [Conf]
   
6. Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel
   Protein function prediction via graph kernels. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2005, pp:47-56 [Conf]
   
7. Karsten M. Borgwardt, S. V. N. Vishwanathan, Hans-Peter Kriegel
   Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels. [Citation Graph (0, 0)][DBLP]
   Pacific Symposium on Biocomputing, 2006, pp:547-558 [Conf]
   
8. Karsten M. Borgwardt, Sebastian Böttger, Hans-Peter Kriegel
   VGM: visual graph mining. [Citation Graph (0, 0)][DBLP]
   SIGMOD Conference, 2006, pp:733-735 [Conf]
   
9. S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola
   Kernel extrapolation. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2006, v:69, n:7-9, pp:721-729 [Journal]
   
10. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola
    A Kernel Approach to Comparing Distributions. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1637-1641 [Conf]
    
11. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt
    A dependence maximization view of clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:815-822 [Conf]
    
12. Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
    Supervised feature selection via dependence estimation. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:823-830 [Conf]
    
13. S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph
    Fast Computation of Graph Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1449-1456 [Conf]
    
14. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola
    A Kernel Method for the Two-Sample-Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:513-520 [Conf]
    
15. Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf
    Correcting Sample Selection Bias by Unlabeled Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:601-608 [Conf]
    
16. Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo
    Supervised Feature Selection via Dependence Estimation [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
    
17. Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek
    Future trends in data mining. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:15, n:1, pp:87-97 [Journal]
    
18. 
    Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. [Citation Graph (, )][DBLP]
    
    
19. 
    Metropolis Algorithms for Representative Subgraph Sampling. [Citation Graph (, )][DBLP]
    
    
20. 
    The skew spectrum of graphs. [Citation Graph (, )][DBLP]
    
    
21. 
    The graphlet spectrum. [Citation Graph (, )][DBLP]
    
    
22. 
    Gene selection via the BAHSIC family of algorithms. [Citation Graph (, )][DBLP]
    
    
23. 
    Colored Maximum Variance Unfolding. [Citation Graph (, )][DBLP]
    
    
24. 
    Graph Kernels For Disease Outcome Prediction From Protein-Protein Interaction Networks. [Citation Graph (, )][DBLP]
    
    
25. 
    A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. [Citation Graph (, )][DBLP]
    
    
26. 
    Near-optimal Supervised Feature Selection among Frequent Subgraphs. [Citation Graph (, )][DBLP]
    
    
27. 
    An Efficient Sampling Scheme For Comparison of Large Graphs. [Citation Graph (, )][DBLP]
    
    
28. 
    Gene function prediction from synthetic lethality networks via ranking on demand. [Citation Graph (, )][DBLP]
    
    
29. 
    A Kernel Method for the Two-Sample Problem [Citation Graph (, )][DBLP]
    
    
30. 
    Graph Kernels [Citation Graph (, )][DBLP]
    
    
31. 
    Bayesian two-sample tests [Citation Graph (, )][DBLP]