Christian Igel

Christian Igel

Professor

Medlem af:

    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. 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

    2. Udgivet

      Accurate segmentation of dental panoramic radiographs with u-NETS

      Koch, T. L., Perslev, Mathias, Igel, Christian & Brandt, S. S., 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, s. 15-19

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    3. Udgivet

      Evolutionary kernel machines

      Kramer, O., Igel, Christian & Rudolph, G., 2012, I: Evolutionary Intelligence. 5, 3, s. 151-152 2 s.

      Publikation: Bidrag til tidsskriftLederForskning

    4. Udgivet

      Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)

      Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (red.). International Joint Conferences on Artificial Intelligence, s. 5045-5049 5 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2021-January).

      Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

    5. Udgivet

      Population Monte Carlo meets contrastive divergence learning

      Krause, Oswin, Fischer, A. & Igel, Christian, 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (red.). s. 93-94 2 s.

      Publikation: Bidrag til bog/antologi/rapportBidrag til rapportForskningfagfællebedømt

    6. Udgivet

      Multi-objective optimization with unbounded solution sets

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 s.

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    7. Udgivet

      Unbounded population MO-CMA-ES for the bi-objective BBOB test suite

      Krause, Oswin, Glasmachers, T., Hansen, N. & Igel, Christian, 2016, Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, s. 1177-1184 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Udgivet

      Qualitative and quantitative assessment of step size adaptation rules

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2017, Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, s. 139-148 10 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    9. Udgivet

      Population-Contrastive-Divergence: Does consistency help with RBM training?

      Krause, Oswin, Fischer, A. & Igel, Christian, 2018, I: Pattern Recognition Letters. 102, s. 1-7

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    10. Udgivet

      Algorithms for estimating the partition function of restricted Boltzmann machines

      Krause, Oswin, Fischer, A. & Igel, Christian, jan. 2020, I: Artificial Intelligence. 278, 19 s., 103195.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    ID: 22657401