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. Making driver modeling attractive

    Pellecchia, A., Igel, Christian, Edelbrunner, J. & Schöner, G., 2005, I : I E E E Intelligent Systems. 20, 2, s. 8-12 5 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. Udgivet

    MCI trial enrichment using MRI hippocampus texture

    xfj310, xfj310, Igel, Christian & Nielsen, Mads, 2016, I : Alzheimer's & Dementia. 12, 7, Supplement, s. P108–P109 2 s., IC-P-146.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  3. Udgivet

    Linear feature selection in texture analysis - A PLS based method

    Marques, J., Igel, Christian, Lillholm, Martin & Dam, E., 2013, I : Machine Vision & Applications. 24, 7, s. 1435-1444 10 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Udgivet

    Learning ∈ artificial intelligence ∩ cognitive technologies ∩ neural computation ∩ …

    Igel, Christian, 2012, I : Kuenstliche Intelligenz. 26, 3, s. 209-212 4 s.

    Publikation: Bidrag til tidsskriftLederForskning

  5. Udgivet

    Learning density independent texture features

    Kallenberg, M. G. J., Nielsen, Mads, Holland, K., Karssemeijer, N., Igel, Christian & Lillholm, Martin, 2016, Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lång, K. & Timberg, P. (red.). Springer, s. 299-306 8 s. (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Learning behavioral policies using extrinsic perturbations on the level of synapses

    Heidrich-Meisner, V. & Igel, Christian, 2008, I : Frontiers in Computational Neuroscience.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  7. Udgivet

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., xfj310, xfj310, Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 1 jan. 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

    Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

    Perslev, Mathias, Pai, Akshay Sadananda Uppinakudru, Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  9. 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

  10. 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

  11. Udgivet

    Joint optimization of a signal processing chain for hydroacoustic signal classification

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

    Publikation: KonferencebidragPosterForskning

  12. Udgivet

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

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

    Publikation: KonferencebidragPosterForskning

  13. Investigating the influence of depth and degree of genotypic change on fitness in genetic programming

    Igel, Christian & Chellapilla, K., 1999, Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation: GECCO '99. Banzhaf, W., Daida, J. M., Eiben, A. E., Garzon, M. H. & Honavar, V. (red.). Morgan Kaufmann, Bind 2. s. 1061-1068 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  14. Udgivet

    Introduction to the special issue on machine learning for traffic sign recognition

    Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2012, I : I E E E Transactions on Intelligent Transportation Systems. 13, 4, s. 1481-1483 3 s.

    Publikation: Bidrag til tidsskriftLederForskning

  15. 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

  16. Udgivet

    Improving the performance of photometric regression models via massive parallel feature selection

    Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian & Goto, T., 2014, Astronomical Data Analysis Software and Systems XXIII. Manset, N. & Forshay, P. (red.). Astronomical Society of the Pacific, Bind 485. s. 425-428 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 485).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  17. Improving the Rprop learning algorithm

    Igel, Christian & Hüsken, M., 2000, Proceedings of the Second International Symposium on Neural Computation, NC’2000. ICSC Academic Press, s. 115-121 7 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  18. 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

  19. 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

  20. Udgivet

    Improved Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge

    xfj310, xfj310, Lillholm, Martin, Pai, Akshay Sadananda Uppinakudru, Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, Supplement 1, 1 s., B-0077.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskning

  21. Udgivet

    Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

    Shakibfar, S., Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, J., Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, I : PLoS ONE. 14, 8, e0219533.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  22. Image processing and behaviour planning for intelligent vehicles

    Bücher, T., Curio, C., Edelbrunner, J., Igel, Christian, Kastrup, D., Leefken, I., Lorenz, G., Steinhage, A. & Seelen, W. V., 2003, I : IEEE Transactions on Industrial Electronics. 50, 1, s. 62-75 14 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  23. 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

  24. 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

  25. Udgivet

    Huge music archives on mobile devices: toward an automated dynamic organization

    Blume, H., Bischl, B., Botteck, M., Igel, Christian, Martin, R., Rötter, G., Rudolph, G., Theimer, W., Vatolkin, I. & Weihs, C., 2011, I : IEEE Signal Processing Magazine. 28, 4, s. 24-39 16 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

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