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. 2016
  2. Udgivet

    Evolutionary kernel learning. / Igel, Christian.

    Encyclopedia of machine learning and data mining. red. / Claude Sammut; Geoffrey I. Webb. Springer, 2016.

    Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

  3. Udgivet

    Integrated optimization of long-range underwater signal detection, feature extraction, and classification for nuclear treaty monitoring. / Tuma, Matthias; Rørbech, Valdemar; Prior, Mark K.; Igel, Christian.

    I: IEEE Transactions on Geoscience and Remote Sensing, Bind 54, Nr. 6, 2016, s. 3649-3659.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Udgivet

    Learning density independent texture features. / Kallenberg, Michiel Gijsbertus J.; Nielsen, Mads; Holland, Katharina; Karssemeijer, Nico; Igel, Christian; Lillholm, Martin.

    Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. red. / Anders Tingberg; Kristina Lång; Pontus Timberg. Springer, 2016. s. 299-306 (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    MCI trial enrichment using MRI hippocampus texture. / Sørensen, Lauge; Igel, Christian; Nielsen, Mads.

    I: Alzheimer's & Dementia, Bind 12, Nr. 7, Supplement, IC-P-146, 2016, s. P108–P109.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  6. Udgivet

    Multi-objective optimization with unbounded solution sets. / Krause, Oswin; Glasmachers, Tobias; Igel, Christian.

    2016. Paper præsenteret ved NIPS Workshop on Bayesian Optimization, Barcelona, Spanien.

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  7. Udgivet

    Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. / Polsterer, K. L.; Gieseke, Fabian Cristian; Igel, Christian; Doser, B.; Gianniotis, N.

    Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, 2016. s. 405-410.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

    Separating timing, movement conditions and individual differences in the analysis of human movement. / Raket, Lars Lau; Grimme, Britta; Schöner, Gregor; Igel, Christian; Markussen, Bo.

    I: PLoS Computational Biology, Bind 12, Nr. 9, 2016, s. e1005092.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    Unbounded population MO-CMA-ES for the bi-objective BBOB test suite. / Krause, Oswin; Glasmachers, Tobias; Hansen, Nikolaus; Igel, Christian.

    Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, 2016. s. 1177-1184.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring. / Kallenberg, Michiel Gijsbertus J.; Petersen, Peter Kersten; Nielsen, Mads; Ng, Andrew Y.; Diao, Pengfei; Igel, Christian; Vachon, Celine M.; Holland, Katharina; Winkel, Rikke Rass; Karssemeijer, Nico; Lillholm, Martin.

    I: IEEE Transactions on Medical Imaging, Bind 35, Nr. 5, 2016, s. 1322-1331.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. 2017
  12. Udgivet

    A strongly quasiconvex PAC-Bayesian bound. / Thiemann, Niklas; Igel, Christian; Wintenberger, Olivier; Seldin, Yevgeny.

    Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . red. / Steve Hanneke; Lev Reyzin. Proceedings of Machine Learning Research, 2017. s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 22657401