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. 2018
    2. Udgivet

      Sparse incomplete LU-decomposition for wave farm designs under realistic conditions

      Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 jan. 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, s. 512-524 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11101 LNCS).

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

    3. Udgivet

      Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

      Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.

      Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

    4. 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    5. Udgivet

      Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

      Florescu, C. & Igel, Christian, 2018. 5 s.

      Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt

    6. Udgivet

      Robust Active Label Correction

      Kremer, J., Sha, F. & Igel, Christian, 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. PMLR, Bind 84. s. 308-316 9 s. (Proceedings of Machine Learning Research). (Proceedings of Machine Learning Research, Bind 84).

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

    7. Udgivet

      Training big random forests with little resources

      Gieseke, Fabian Cristian & Igel, Christian, 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, s. 1445-1454

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

    8. 2017
    9. Udgivet

      Adaptive pattern recognition in real-time video-based soccer analysis

      Schlipsing, M., Salmen, J., Tschentscher, M. & Igel, Christian, jun. 2017, I: Journal of Real-Time Image Processing. 13, 2, s. 345–361 17 s.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    10. 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 tidsskrift › Tidsskriftartikel › Forskning

    11. Udgivet

      Editorial: project reports

      Igel, Christian, mar. 2017, I: KI - Künstliche Intelligenz. 31, 1, s. 1-1 1 s.

      Publikation: Bidrag til tidsskrift › Leder › Forskning

    12. Udgivet

      A strongly quasiconvex PAC-Bayesian bound

      Thiemann, N., Igel, Christian, Wintenberger, O. & Seldin, Yevgeny, 2017, Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . Hanneke, S. & Reyzin, L. (red.). Proceedings of Machine Learning Research, s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

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

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