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

      Training restricted Boltzmann machines: an introduction

      Fischer, A. & Igel, Christian, 2014, I: Pattern Recognition. 47, 1, s. 25-39 15 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    2. Udgivet

      Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions

      Mugabowindekwe, M., Brandt, M., Mukuralinda, A., Ciais, P., Reiner, F., Kariryaa, A., Igel, C., Chave, J., Mertz, O., Hiernaux, P., Tong, X., Rwanyiziri, G., Gominski, D., Li, S., Liu, S., Gasangwa, I., Hategekimana, Y., Ndoli, A., Nduwamungu, J., Saatchi, S. & 1 flere, Fensholt, Rasmus, 2024, I: Communications Earth & Environment. 5, 1, 10 s., 113.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    3. Udgivet

      Turning binary large-margin bounds into multi-class bounds

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012. 2 s.

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    4. Udgivet

      U-Sleep: resilient high-frequency sleep staging

      Perslev, Mathias, Darkner, Sune, Kempfner, L., Nikolic, M., Jennum, Poul & Igel, Christian, 15 apr. 2021, I: npj Digital Medicine. 4, 1, 12 s., 72.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    5. Udgivet

      U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

      Perslev, Mathias, Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 okt. 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Bind 32. s. 4415-4426

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    6. 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

    7. Uncertainty handling CMA-ES for reinforcement learning

      Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 11th Annual conference on Genetic and evolutionary computation: GECCO '09. Association for Computing Machinery, s. 1211-1218 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. Uncertainty handling in evolutionary direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2008. 8 s.

      Publikation: KonferencebidragPaperForskningfagfællebedømt

    9. Uncertainty handling in model selection for support vector machines

      Glasmachers, T. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (red.). Springer, s. 185-194 10 s. (Lecture notes in computer science, Bind 5199).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    10. Udgivet

      Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

      Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, P., Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, I: IEEE Transactions on Medical Imaging. 35, 5, s. 1322-1331 10 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    11. Using fitness distributions to improve the evolution of learning structures

      Igel, Christian & Kreutz, M., 1999, Proceedings of the 1999 Congress on Evolutionary Computation: CEC 99. IEEE, Bind 3. s. 1902-1909 8 s.

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    12. Udgivet

      Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

      Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 sep. 2021, I: Scientific Reports. 11, 1, 10 s., 18959.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    13. Udgivet

      Validation of hippocampal texture for early Alzheimer’s disease detection: generalization to independent cohorts and extrapolation to very early signs of dementia

      Sørensen, L., Igel, Christian, Hansen, N. L., Lauritzen, Martin, Osler, Merete, Rostrup, Egill & Nielsen, Mads, 2014, I: Alzheimer's & Dementia. 10, 4, Supplement, s. P133 1 s.

      Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

    14. Variable metric reinforcement learning methods applied to the noisy mountain car problem

      Heidrich-Meisner, V. & Igel, Christian, 2008, Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers. Girgin, S., Loth, M., Munos, R., Preux, P. & Ryabko, D. (red.). Springer, s. 136-150 15 s. (Lecture notes in computer science, Bind 5323).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    15. Variable-metric evolution strategies for direct policy search

      Heidrich-Meisner, V. & Igel, Christian, 2009. 2 s.

      Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

    16. Udgivet

      bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices

      Gieseke, Fabian Cristian, Oancea, Cosmin Eugen & Igel, Christian, 15 mar. 2017, I: Knowledge-Based Systems. 120, s. 1-3 3 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

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