Christian Igel

Christian Igel

Professor

Member of:

    ORCID: 0000-0003-2868-0856

    Introductory remarks on publicationslist

    This list of pubications is not fully complete.

    For a complete list of older publications as well as papers and software available online please vist my old homepage: https://christian-igel.github.io

    I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ


    Publication year:
    All
    51 - 60 out of 266Page size: 10
    1. 2006

    2. Maximum-gain working set selection for support vector machines

      Glasmachers, T. & Igel, Christian, 2006, In: Journal of Machine Learning Research. 7, p. 1437-1466 30 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    3. Modelling dynamic activity patterns in early visual cortex based on voltage sensitive dye experiments

      Meyer, J., Igel, Christian & Jancke, D., 2006, Neuro-Visionen 3. Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-westfälischen Akademie der Wissenschaften 2005. Hossmann, K-A. (ed.). Verlag Ferdinand Schöningh, p. 193-195 3 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    4. Multi-objective neural network optimization for visual object detection

      Roth, S., Gepperth, A. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (ed.). Vol. V. p. 629-655 27 p. (Studies in Computational Intelligence, Vol. 16).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    5. Multi-objective optimization of support vector machines

      Suttorp, T. & Igel, Christian, 2006, Multi-objective machine learning. Jin, Y. (ed.). Springer, p. 199-220 22 p. (Studies in Computational Intelligence, Vol. 16).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    6. 2007

    7. Covariance matrix adaptation for multi-objective optimization

      Igel, Christian, Hansen, N. & Roth, S., 2007, In: Evolutionary Computation. 15, 1, p. 1-28 28 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    8. Evolutionary optimization of sequence kernels for detection of bacterial gene starts

      Mersch, B., Glasmachers, T., Meinicke, P. & Igel, Christian, 2007, In: International Journal of Neural Systems. 17, 5, p. 369-381 13 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. Evolutionary optimization of wavelet feature sets for real-time pedestrian classification

      Salmen, J., Suttorp, T., Edelbrunner, J. & Igel, Christian, 2007, 7th International Conference on Hybrid Intelligent Systems: HIS 2007. IEEE, p. 222-227 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. Gradient-based optimization of kernel-target alignment for sequence kernels applied to bacterial gene start detection

      Igel, Christian, Glasmachers, T., Mersch, B., Pfeifer, N. & Meinicke, P., 2007, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4, 2, p. 216-226 11 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    11. Modelling cortical activity underlying apparent and real motion perception

      Meyer, J., Jancke, D. & Igel, Christian, 2007, Neuro-Visionen 4 - Perspektiven in Nordrhein-Westfalen: Symposium der Nordrhein-Westfälischen Akademie der Wissenschaften 2006. Hossman, K-A. (ed.). Verlag Ferdinand Schöningh, p. 257-258 2 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

    12. Proceedings of the 7th International Conference on Hybrid Intelligent Systems (HIS 2007)

      König, A. (ed.), Köppen, M. (ed.), Abraham, A. (ed.), Igel, Christian (ed.) & Kasabov, N. (ed.), 2007, IEEE.

      Research output: Book/Report › Book › Research › peer-review

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