Staff – University of Copenhagen

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: http://image.diku.dk/igel

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


  1. 2018
  2. Accepted/In press

    Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. / Florescu, Ciprian; Igel, Christian.

    2018. Paper presented at International Conference on Learning Representations, Vancouver, Canada.

    Research output: Contribution to conferencePaper

  3. Submitted

    Bigger buffer k-d trees on multi-many-core systems. / Gieseke, Fabian Cristian; Oancea, Cosmin Eugen; Mahabal, Ashish; Igel, Christian; Heskes, Tom.

    Big Data Deep Learning in High Performance Computing. Springer, 2018.

    Research output: Chapter in Book/Report/Conference proceedingBook chapter

  4. Published

    Robust Active Label Correction. / Kremer, Jan; Sha, Fei; Igel, Christian.

    In: Proceedings of Machine Learning Research, Vol. 84, 2018, p. 308-316.

    Research output: Contribution to journalConference article

  5. 2017
  6. Published

    Massively-parallel best subset selection for ordinary least-squares regression. / Gieseke, Fabian; Polsterer, Kai Lars; Mahabal, Ashish; Igel, Christian; Heskes, Tom.

    2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, 2017. p. 1-8.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings

  7. Published

    bufferkdtree : a Python library for massive nearest neighbor queries on multi-many-core devices. / Gieseke, Fabian Cristian; Oancea, Cosmin Eugen; Igel, Christian.

    In: Knowledge-Based Systems, Vol. 120, 15.03.2017, p. 1-3.

    Research output: Contribution to journalJournal article

  8. Published

    Editorial : project reports. / Igel, Christian.

    In: Kuenstliche Intelligenz, Vol. 31, No. 1, 03.2017, p. 1-1.

    Research output: Contribution to journalEditorial

  9. Published

    Qualitative and quantitative assessment of step size adaptation rules. / Krause, Oswin; Glasmachers, Tobias; Igel, Christian.

    Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, 2017. p. 139-148.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings

  10. Published

    Big universe, big data : machine learning and image analysis for astronomy. / Kremer, Jan; Stensbo-Smidt, Kristoffer; Gieseke, Fabian Cristian; Pedersen, Kim Steenstrup; Igel, Christian.

    In: IEEE Intelligent Systems, Vol. 32, No. 2, 2017, p. 16-22.

    Research output: Contribution to journalJournal article

  11. Published

    Characterization of errors in deep learning-based brain MRI segmentation. / Pai, Akshay Sadananda Uppinakudru; Teng, Yuan-Ching; Blair, Joseph Patrick Michele; Kallenberg, Michiel Gijsbertus J.; Dam, Erik Bjørnager; Sommer, Stefan Horst; Igel, Christian; Nielsen, Mads.

    Deep learning for medical image analysis. ed. / S. Kevin Zhou; Hayit Greenspan; Dinggang Shen. Academic Press, 2017. p. 223–242.

    Research output: Chapter in Book/Report/Conference proceedingBook chapter

  12. Published

    Adaptive pattern recognition in real-time video-based soccer analysis. / Schlipsing, Marc; Salmen, Jan; Tschentscher, Marc; Igel, Christian.

    In: Journal of Real-Time Image Processing, Vol. 13, No. 2, 06.2017, p. 345–361.

    Research output: Contribution to journalJournal article

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