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Ingo Mierswa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ingo Mierswa, Michael Wurst
    Efficient Case Based Feature Construction. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:641-648 [Conf]
  2. Michael Wurst, Katharina Morik, Ingo Mierswa
    Localized Alternative Cluster Ensembles for Collaborative Structuring. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:485-496 [Conf]
  3. Ingo Mierswa
    Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1985-1992 [Conf]
  4. Ingo Mierswa
    Evolutionary learning with kernels: a generic solution for large margin problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1553-1560 [Conf]
  5. Ingo Mierswa, Katharina Morik
    Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:293-300 [Conf]
  6. Ingo Mierswa, Michael Wurst
    Information preserving multi-objective feature selection for unsupervised learning. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1545-1552 [Conf]
  7. Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst
    A Benchmark Dataset for Audio Classification and Clustering. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2005, pp:528-531 [Conf]
  8. Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler
    YALE: rapid prototyping for complex data mining tasks. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:935-940 [Conf]
  9. Fabian Mörchen, Ingo Mierswa, Alfred Ultsch
    Understandable models Of music collections based on exhaustive feature generation with temporal statistics. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:882-891 [Conf]
  10. Ingo Mierswa
    Automatic Feature Extraction from Large Time Series. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:187-192 [Conf]
  11. Ingo Mierswa, Michael Wurst
    Sound Multi-objective Feature Space Transformation for Clustering. [Citation Graph (0, 0)][DBLP]
    LWA, 2006, pp:330-337 [Conf]
  12. Ingo Mierswa, Katharina Morik
    Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen. [Citation Graph (0, 0)][DBLP]
    Informatik Spektrum, 2005, v:28, n:5, pp:381-388 [Journal]
  13. Ingo Mierswa, Katharina Morik
    Automatic Feature Extraction for Classifying Audio Data. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:58, n:2-3, pp:127-149 [Journal]
  14. Ingo Mierswa
    Controlling overfitting with multi-objective support vector machines. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1830-1837 [Conf]
  15. Ingo Mierswa
    Regularization through Multi-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:94-101 [Conf]
  16. Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann
    Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:12- [Conf]

  17. On the Automated Creation of Understandable Positive Security Models for Web Applications. [Citation Graph (, )][DBLP]

  18. On the Automated Creation of Understandable Positive Security Models for Web Applications. [Citation Graph (, )][DBLP]

  19. Automatic Feature Extraction from Large Time Series. [Citation Graph (, )][DBLP]

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