Christian Igel

Christian Igel

Professor

Kommentarer til publikationsliste

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: http://image.diku.dk/igel

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


  1. Udgivet

    High-school dropout prediction using machine learning: a Danish large-scale study

    Şara, N., Halland, R., Igel, Christian & Alstrup, Stephen, 2015, Proceedings. ESANN 2015: 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (red.). i6doc.com, s. 319-324 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Editorial: special issue on organic computing

    Würtz, R. P., Bellman, K. L., Schmeck, H. & Igel, Christian, 2010, I: A C M Transactions on Autonomous and Adaptive Systems. 5, 3, s. 1-3 3 s.

    Publikation: Bidrag til tidsskriftLederForskning

  3. Registration of bone structures in 3D ultrasound and CT data: comparison of different optimization strategies

    Winter, S., Brendel, B. & Igel, Christian, 2005, I: International Congress Series. 1281, s. 242-247 6 s.

    Publikation: Bidrag til tidsskriftKonferenceartikelForskningfagfællebedømt

  4. Registrierung von Knochen in 3D-Ultraschall-und CT-Daten: Vergleich verschiedener Optimierungsverfahren

    Winter, S., Brendel, B. & Igel, Christian, 2005, Bildverarbeitung für die Medizin 2005: Algorithmen — Systeme — Anwendungen Proceedings des Workshops vom 13. – 15. März 2005 in Heidelberg. Meinzer, H-P., Handels, H., Horsch, A. & Holxdorff, T. (red.). s. 345-349 5 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocol

    Winter, S., Pechlivanis, I., Dekomien, C., Igel, Christian & Schmieder, K., 2009, I: Ultrasound in Medicine & Biology. 35, 11, s. 1773-1782 10 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and gradient-based methods

    Winter, S., Brendel, B., Pechlivanis, I., Schmieder, K. & Igel, Christian, 2008, I: IEEE Transactions on Evolutionary Computation. 12, 3, s. 284-296 13 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Evolutionary optimization of neural networks for face detection

    Wiegand, S., Igel, Christian & Handmann, U., 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, s. 139-144 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Evolutionary multi-objective optimization of neural networks for face detection

    Wiegand, S., Igel, Christian & Handmann, U., 2004, I: International Journal of Computational Intelligence and Applications. 4, 3, s. 237-253 17 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Protein fold class prediction using neural networks with tailored early-stopping

    Wiebringhaus, T., Igel, Christian & Gebert, J., 2004, Proceedings of the 2004 IEEE International Joint Conference on Neural Networks. IEEE, s. 1693-1697 5 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Protein fold class prediction using neural networks reconsidered

    Wiebringhaus, T., Faigle, U., Schomburg, D., Gebert, J. & Igel, Christian, 2003, Currents in Computational Molecular Biology, The Seventh Annual International Conference on Research in Computational Molecular Biology (RECOMB 2003). s. 225-226 2 s.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  11. Recombination for learning strategy parameters in the MO-CMA-ES

    Voß, T., Hansen, N. & Igel, Christian, 2009, Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings. Ehrgott, M., Fonseca, C. M., Gandibleux, X., Hao, J-K. & Sevaux, M. (red.). Springer, s. 155-168 14 s. (Lecture notes in computer science, Bind 5467).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  12. Scalarization versus indicator-based selection in multi-objective CMA evolution strategies

    Voß, T., Beume, N., Rudolph, G. & Igel, Christian, 2008, IEEE Congress on Evolutionary Computation, 2008 CEC 2008.. IEEE, s. 3036-3043 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  13. New uncertainty handling strategies in multi-objective evolutionary optimization

    Voß, T., Trautmann, H. & Igel, Christian, 2010, Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Schaefer, R., Cotta, C., Kołodziej, J. & Rudolph, G. (red.). Springer, s. 260-269 10 s. (Lecture notes in computer science, Bind 6239).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  14. Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study

    Voß, T., Friedrich, T., Bringmann, K. & Igel, Christian, 2010, Proceedings of the 12th annual conference on Genetic and Evolutionary Computation: GECCO '10. Association for Computing Machinery, s. 1975-1978 4 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  15. Improved step size adaptation for the MO-CMA-ES

    Voß, T., Hansen, N. & Igel, Christian, 2010, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). Association for Computing Machinery, s. 487-494 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  16. Udgivet

    Investigation of kernel-based machine learning techniques for infrasound signal classification

    Tuma, M. & Igel, Christian, 2013. 1 s.

    Publikation: KonferencebidragPosterForskning

  17. Udgivet

    Hydroacoustic signal classification using support vector machines

    Tuma, M., Igel, Christian & Prior, M., 2012, Signal and image processing for remote sensing: Second Edition. Chen, C. H. (red.). 2 udg. CRC Press, s. 37-56 20 s.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  18. Kernel-based machine learning techniques for hydroacoustic signal classification

    Tuma, M. & Igel, Christian, 2009, International Scientific Studies Conference (ISS09): book of abstracts. s. 25 1 s. DM-06/A

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

  19. Udgivet

    Joint optimization of a signal processing chain for hydroacoustic signal classification

    Tuma, M., Igel, Christian & Prior, M., 2013. 1 s.

    Publikation: KonferencebidragPosterForskning

  20. Udgivet

    Kernel-based machine learning techniques for infrasound signal classification

    Tuma, M., Igel, Christian & Mialle, P., 2014, I: Geophysical Research Abstracts. 16, 11th European Geosciences Union General Assembly, 1 s., EGU2014-7720.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  21. Udgivet

    Integrated optimization of long-range underwater signal detection, feature extraction, and classification for nuclear treaty monitoring

    Tuma, M., Rørbech, V., Prior, M. K. & Igel, Christian, 2016, I: IEEE Transactions on Geoscience and Remote Sensing. 54, 6, s. 3649-3659 11 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  22. Udgivet

    Improved working set selection for LaRank

    Tuma, M. & Igel, Christian, 2011, Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011 Seville, Spain, August 29-31, 2011 Proceedings, Part I. Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A. & Kropatsch, W. (red.). Springer, s. 327-334 8 s. (Lecture notes in computer science, Bind 6854).

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  23. Hydroacoustic signal classification using kernel functions for variable feature sets

    Tuma, M., Igel, Christian & Prior, M., 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition: ICPR. IEEE Computer Society Press, s. 1011-1014 4 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  24. Automatic classification of hydroacoustic signals to support verification of the Comprehensive Nuclear-Test-Ban Treaty

    Tuma, M. & Igel, Christian, 2010, Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics Under One Umbrella" (DAGStat 2010). s. 361 1 s.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  25. Neutrality: a necessity for self-adaptation

    Toussaint, M. & Igel, Christian, 2002, Proceedings of the 2002 Congress on Evolutionary Computation: CEC '02. IEEE, s. 1354-1359 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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