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. Neutrality and self-adaptation

      Igel, Christian & Toussaint, M., 2003, I: Natural Computing. 2, 2, s. 117-132 16 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    2. New uncertainty handling strategies in multi-objective evolutionary optimization

      Voß, T., Trautmann, H. & Igel, Christian, 2010, Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Schaefer, R., Cotta, C., Kołodziej, J. & Rudolph, G. (red.). Springer, s. 260-269 10 s. (Lecture notes in computer science, Bind 6239).

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

    3. 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

    4. Udgivet

      Non-linearly increasing resampling in racing algorithms

      Heidrich-Meisner, V. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (red.). s. 465-470 6 s.

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

    5. Udgivet

      On PAC-Bayesian bounds for random forests

      Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2019, I: Machine Learning. 108, 8-9, s. 1503-1522

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    6. On classes of functions for which No Free Lunch results hold

      Igel, Christian & Toussaint, M., 2003, I: Information Processing Letters. 86, 6, s. 317-321 5 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. Udgivet

      On scaling contrastive representations for low-resource speech recognition

      Borgholt, L., Tax, T. M. S., Havtorn, J. D., Maaløe, L. & Igel, Christian, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Bind 2021-June. s. 3885-3889

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

    8. Udgivet

      On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.

      Brügge, K., Fischer, A. & Igel, Christian, 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistic. PMLR, s. 469-477 (Proceedings of Machine Learning Research, Bind 130).

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

    9. Udgivet

      One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

      Perslev, Mathias, Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 30-38 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11765 LNCS).

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

    10. Ontogenetic and phylogenetic reinforcement learning

      Togelius, J., Schaul, T., Wierstra, D., Igel, Christian, Gomez, F. & Schmidhuber, J., 2009, I: KI - Künstliche Intelligenz. 09, 3, s. 30-33 4 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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