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Christin Schäfer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gilles Blanchard, Christin Schäfer, Yves Rozenholc
    Oracle Bounds and Exact Algorithm for Dyadic Classification Trees. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:378-392 [Conf]
  2. Pavel Laskov, Christin Schäfer, Igor V. Kotenko
    Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    DIMVA, 2004, pp:71-82 [Conf]
  3. Benjamin Blankertz, Christin Schäfer, Guido Dornhege, Gabriel Curio
    Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1137-1143 [Conf]
  4. Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck
    Learning Intrusion Detection: Supervised or Unsupervised?. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2005, pp:50-57 [Conf]
  5. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
    A General and Efficient Multiple Kernel Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  6. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
    Learning Interpretable SVMs for Biological Sequence Classification. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2005, pp:389-407 [Conf]
  7. Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller
    Visualization of anomaly detection using prediction sensitivity. [Citation Graph (0, 0)][DBLP]
    Sicherheit, 2005, pp:197-208 [Conf]
  8. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf
    Large Scale Multiple Kernel Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1531-1565 [Journal]
  9. Steven Lemm, Christin Schäfer, Gabriel Curio
    Aggregating Classification Accuracy across Time: Application to Single Trial EEG. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:825-832 [Conf]
  10. Gilles Blanchard, Christin Schäfer, Yves Rozenholc, K.-R. Müller
    Optimal dyadic decision trees. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:66, n:2-3, pp:209-241 [Journal]

  11. Binary On-line Classification Based on Temporally Integrated Information. [Citation Graph (, )][DBLP]


  12. Annealed k-Means Clustering and Decision Trees. [Citation Graph (, )][DBLP]


  13. Learning Interpretable SVMs for Biological Sequence Classification. [Citation Graph (, )][DBLP]


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