Christian Igel

Christian Igel


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:

I also maintain a Google Scholar profile:

  1. 2018
  2. Udgivet

    Training big random forests with little resources. / Gieseke, Fabian; Igel, Christian.

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

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. 2017
  4. Udgivet

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

    I: Journal of Real-Time Image Processing, Bind 13, Nr. 2, 06.2017, s. 345–361.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

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

    I: Knowledge-Based Systems, Bind 120, 15.03.2017, s. 1-3.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

  6. Udgivet

    Editorial : project reports. / Igel, Christian.

    I: Kuenstliche Intelligenz, Bind 31, Nr. 1, 03.2017, s. 1-1.

    Publikation: Bidrag til tidsskriftLederForskning

  7. Udgivet

    A strongly quasiconvex PAC-Bayesian bound. / Thiemann, Niklas; Igel, Christian; Wintenberger, Olivier; Seldin, Yevgeny.

    Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . red. / Steve Hanneke; Lev Reyzin. Proceedings of Machine Learning Research, 2017. s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

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

    I: IEEE Intelligent Systems, Bind 32, Nr. 2, 2017, s. 16-22.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    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. red. / S. Kevin Zhou; Hayit Greenspan; Dinggang Shen. Academic Press, 2017. s. 223–242.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  10. Udgivet
  11. Udgivet

    FOGA 2017 chairs' welcome (Editorial). / Igel, Christian; Sudholt, Dirk; Witt, Carsten.

    FOGA 2017 - Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, 2017. s. iii.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskning

  12. Udgivet

    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. s. 1-8.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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