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Alexander Zien: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gökhan H. Bakir, Alexander Zien, Koji Tsuda
    Learning to Find Graph Pre-images. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:253-261 [Conf]
  2. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alex J. Smola, Thomas Lengauer, Klaus-Robert Müller
    Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1999, pp:37-43 [Conf]
  3. Ingolf Sommer, Niklas von Öhsen, Alexander Zien, Ralf Zimmer, Thomas Lengauer
    Confidence Measures for Fold Recognition. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2001, pp:26-33 [Conf]
  4. Olivier Chapelle, Mingmin Chi, Alexander Zien
    A continuation method for semi-supervised SVMs. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:185-192 [Conf]
  5. Alexander Zien, Joaquin Quiñonero Candela
    Large margin non-linear embedding. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:1060-1067 [Conf]
  6. Daniel Hanisch, Alexander Zien, Ralf Zimmer, Thomas Lengauer
    Co-clustering of biological networks and gene expression data. [Citation Graph (0, 0)][DBLP]
    ISMB, 2002, pp:145-154 [Conf]
  7. Sören Sonnenburg, Alexander Zien, Gunnar Rätsch
    ARTS: accurate recognition of transcription starts in human. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:472-480 [Conf]
  8. Alexander Zien, Thomas Aigner, Ralf Zimmer, Thomas Lengauer
    Centralization: a new method for the normalization of gene expression data. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:323-331 [Conf]
  9. Alexander Zien, Robert Küffner, Ralf Zimmer, Thomas Lengauer
    Analysis of Gene Expression Data with Pathway Scores. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:407-417 [Conf]
  10. Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf
    Prediction on Spike Data Using Kernel Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Christian Lemmen, Alexander Zien, Ralf Zimmer, Thomas Lengauer
    Application of Parameter Optimization to Molecular Comparison Problems. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 1999, pp:482-493 [Conf]
  12. Alexander Zien, Ralf Zimmer, Thomas Lengauer
    A simple iterative approach to parameter optimization. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2000, pp:318-327 [Conf]
  13. Alexander Zien, Juliane Fluck, Ralf Zimmer, Thomas Lengauer
    Microarrays: how many do you need? [Citation Graph (0, 0)][DBLP]
    RECOMB, 2002, pp:321-330 [Conf]
  14. Ingolf Sommer, Alexander Zien, Niklas von Öhsen, Ralf Zimmer, Thomas Lengauer
    Confidence measures for protein fold recognition. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:6, pp:802-812 [Journal]
  15. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller
    Engineering support vector machine kernels that recognize translation initiation sites. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2000, v:16, n:9, pp:799-807 [Journal]
  16. Alexander Zien, Juliane Fluck, Ralf Zimmer, Thomas Lengauer
    Microarrays: How Many Do You Need? [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2003, v:10, n:3/4, pp:653-667 [Journal]
  17. Alexander Zien, Ralf Zimmer, Thomas Lengauer
    A Simple Iterative Approach to Parameter Optimization. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2000, v:7, n:3-4, pp:483-501 [Journal]
  18. Alexander Zien, Cheng Soon Ong
    Multiclass multiple kernel learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1191-1198 [Conf]
  19. Alexander Zien, Ulf Brefeld, Tobias Scheffer
    Transductive support vector machines for structured variables. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1183-1190 [Conf]

  20. POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. [Citation Graph (, )][DBLP]


  21. The Feature Importance Ranking Measure. [Citation Graph (, )][DBLP]


  22. An Automated Combination of Kernels for Predicting Protein Subcellular Localization. [Citation Graph (, )][DBLP]


  23. Non-Sparse Regularization and Efficient Training with Multiple Kernels [Citation Graph (, )][DBLP]


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