Christian Igel

Christian Igel

Professor

Medlem af:

    ORCID: 0000-0003-2868-0856

    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


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    1. Udgivet

      Label-Similarity Curriculum Learning

      Dogan, Ü., Deshmukh, A. A., Machura, M. B. & Igel, Christian, 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (red.). Springer VS, s. 174-190 17 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12374 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    2. Udgivet

      LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing

      Zhang, T., Li, Lei, Igel, Christian, Oehmcke, Stefan, Gieseke, F. & Peng, Z., 2023, 2022 IEEE International Conference on Computer and Communications (ICCC), Chengdu, China. IEEE, s. 1951-1957

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. Udgivet

      Knowledge Distillation for Semi-supervised Domain Adaptation

      Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. Udgivet

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

      Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.

      Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

    5. 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 tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

    6. 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/rapport › Konferenceabstrakt i proceedings › Forskning

    7. Udgivet

      Joint optimization of a signal processing chain for hydroacoustic signal classification

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

      Publikation: Konferencebidrag › Poster › Forskning

    8. Udgivet

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

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

      Publikation: Konferencebidrag › Poster › Forskning

    9. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    10. 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 tidsskrift › Leder › Forskning

    11. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    12. Udgivet

      Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

      Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 s.

      Publikation: Working paper › Preprint › Forskning

    13. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    14. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    15. 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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    16. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    17. Udgivet

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

      Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, I: Insights into Imaging. 6, Supplement 1, 1 s., B-0077.

      Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

    18. Udgivet

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

      Shakibfar, Saeed, 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    19. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    20. 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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    21. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    22. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    23. Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 26th International Conference on Machine Learning (ICML 2009). Association for Computing Machinery, s. 401-408 8 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    24. Udgivet

      Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

      Diao, P., Pai, A., Igel, Christian & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer, s. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13437 LNCS).

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    25. Udgivet

      Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

      Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 s.

      Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

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