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Pavel Laskov: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Pavel Laskov, Chandra Kambhamettu
    Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation. [Citation Graph (0, 0)][DBLP]
    BMVC, 2001, pp:- [Conf]
  2. Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
    Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:374-383 [Conf]
  3. 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]
  4. Konrad Rieck, Pavel Laskov
    Detecting Unknown Network Attacks Using Language Models. [Citation Graph (0, 0)][DBLP]
    DIMVA, 2006, pp:74-90 [Conf]
  5. Caspar von Wrede, Pavel Laskov
    Using classification to determine the number of finger strokes on a multi-touch tactile device. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:549-554 [Conf]
  6. Roman Erenshteyn, Pavel Laskov, David M. Saxe, Richard A. Foulds
    Distributed Output Encoding for Multi-Class Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICIAP, 1999, pp:229-234 [Conf]
  7. 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]
  8. Pavel Laskov
    An Improved Decomposition Algorithm for Regression Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:484-490 [Conf]
  9. 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]
  10. Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He, Pavel Laskov
    3D nonrigid motion analysis under small deformations. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2003, v:21, n:3, pp:229-245 [Journal]
  11. Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller
    A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:777-800 [Journal]
  12. Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller
    Incremental Support Vector Learning: Analysis, Implementation and Applications. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1909-1936 [Journal]
  13. Pavel Laskov
    Feasible Direction Decomposition Algorithms for Training Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:315-349 [Journal]
  14. Pavel Laskov, Chandra Kambhamettu
    Curvature-Based Algorithms for Nonrigid Motion and Correspondence Estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:10, pp:1349-1354 [Journal]
  15. Konrad Rieck, Pavel Laskov, Sören Sonnenburg
    Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1177-1184 [Conf]
  16. Konrad Rieck, Pavel Laskov
    Language models for detection of unknown attacks in network traffic. [Citation Graph (0, 0)][DBLP]
    Journal in Computer Virology, 2007, v:2, n:4, pp:243-256 [Journal]
  17. Eric Filiol, Roland Büschkes, Pavel Laskov
    Foreword. [Citation Graph (0, 0)][DBLP]
    Journal in Computer Virology, 2007, v:2, n:4, pp:241-242 [Journal]

  18. Automatic feature selection for anomaly detection. [Citation Graph (, )][DBLP]

  19. A framework for quantitative security analysis of machine learning. [Citation Graph (, )][DBLP]

  20. 08102 Manifesto -- Perspectives Workshop: Network Attack Detection and Defense. [Citation Graph (, )][DBLP]

  21. Learning and Classification of Malware Behavior. [Citation Graph (, )][DBLP]

  22. Vorwort der Workshop-Leitung. [Citation Graph (, )][DBLP]

  23. Incorporation of Application Layer Protocol Syntax into Anomaly Detection. [Citation Graph (, )][DBLP]

  24. Stopping conditions for exact computation of leave-one-out error in support vector machines. [Citation Graph (, )][DBLP]

  25. CLIO - A Cross-Layer Information Service for Overlay Network Optimization. [Citation Graph (, )][DBLP]

  26. Botzilla: detecting the "phoning home" of malicious software. [Citation Graph (, )][DBLP]

  27. TokDoc: a self-healing web application firewall. [Citation Graph (, )][DBLP]

  28. Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection. [Citation Graph (, )][DBLP]

  29. A Self-learning System for Detection of Anomalous SIP Messages. [Citation Graph (, )][DBLP]

  30. Securing IMS against novel threats. [Citation Graph (, )][DBLP]

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