Christian Igel

Christian Igel

Professor

Member of:

    Introductory remarks on publicationslist

    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: https://christian-igel.github.io

    I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ


    1. 2018
    2. Published

      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, p. 512-524 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11101 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    3. Published

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

      Perslev, M., Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 p.

      Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

    4. Published

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

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

      Research output: Contribution to journalJournal articlepeer-review

    5. Published

      Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

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

      Research output: Contribution to conferencePaperResearchpeer-review

    6. Published

      Robust Active Label Correction

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

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    7. Published

      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, p. 1445-1454

      Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    ID: 22657401