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


    Udgivelsesår:
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    1 - 10 ud af 12Pr. side: 10
    Sortering: Udgivelsesdato
    1. 2014
    2. Udgivet

      Active learning with support vector machines

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

      Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

    3. Udgivet

      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. (red.). SPIE - International Society for Optical Engineering, 8 s. 903441. (Progress in Biomedical Optics and Imaging; Nr. 35, Bind 15).

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

    4. Udgivet

      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 s. (JMLR: Workshop and Conference Proceedings, Bind 32).

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

    5. Udgivet

      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. (red.). Erasmus Universiteit Rotterdam, s. 111-118 8 s.

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

    6. 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

    7. 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

    8. Udgivet

      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. (red.). Springer, s. 1-23 23 s. (Natural Computing Series).

      Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

    9. Udgivet

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

      Igel, Christian (red.) & Arnold, D. (red.), 2014, Association for Computing Machinery. 1450 s.

      Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt

    10. Udgivet

      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. (red.). i6doc.com, s. 87-92 6 s.

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

    11. Udgivet

      Support vector machines for active learning

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

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

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    ID: 22657401