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
    1 - 10 out of 12Page size: 10
    1. 2014
    2. Published

      Active learning with support vector machines

      Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 4, 4, p. 313-326 14 p.

      Research output: Contribution to journal › Review › Research › peer-review

    3. Published

      Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer

      Rodríguez Arbonès, D., Jensen, H. G., Loft, A., af Rosenschöld, P. M., Hansen, A. E., Igel, Christian & Darkner, Sune, 2014, Medical Imaging 2014: Image Processing. Ourselin, S. & Styner, M. A. (eds.). SPIE - International Society for Optical Engineering, 8 p. 903441. (Progress in Biomedical Optics and Imaging; No. 35, Vol. 15).

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

    4. Published

      Buffer k-d trees: processing massive nearest neighbor queries on GPUs

      Gieseke, Fabian Cristian, Heinermann, J., Oancea, Cosmin Eugen & Igel, Christian, 2014, Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014. 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 32).

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

    5. Published

      Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry

      Sørensen, L., Pai, A. S. U., Anker, C., Balas, I., Lillholm, Martin, Igel, Christian & Nielsen, Mads, 2014, MICCAI 2014 Workshop Proceedings: Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data. Bron, E. E., Smits, M., van Swieten, J. C., Niessen, W. J. & Klein, S. (eds.). Erasmus Universiteit Rotterdam, p. 111-118 8 p.

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

    6. Published

      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. (eds.). Astronomical Society of the Pacific, Vol. 485. p. 425-428 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

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

    7. Published

      Kernel-based machine learning techniques for infrasound signal classification

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

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    8. Published

      No free lunch theorems: limitations and perspectives of metaheuristics

      Igel, Christian, 2014, Theory and principled methods for the design of metaheuristics. Borenstein, Y. & Moraglio, A. (eds.). Springer, p. 1-23 23 p. (Natural Computing Series).

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

    9. Published

      Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computation (GECCO 2014)

      Igel, Christian (ed.) & Arnold, D. (ed.), 2014, Association for Computing Machinery. 1450 p.

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

    10. Published

      Speedy greedy feature selection: better redshift estimation via massive parallelism

      Gieseke, Fabian Cristian, Polsterer, K. L., Oancea, Cosmin Eugen & Igel, Christian, 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 87-92 6 p.

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

    11. Published

      Support vector machines for active learning

      Kremer, J., Steenstrup Pedersen, Kim & Igel, Christian, 2014, Second European Conference on Data Analysis: program & abstracts . p. 38 1 p.

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

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