Christian Igel
Christian Igel

Professor

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. 2018
  2. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

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

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  4. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. 2017
  7. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. 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

  9. Udgivet

    Editorial: project reports

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

    Publikation: Bidrag til tidsskriftLederForskning

  10. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  11. Udgivet

    Big universe, big data: machine learning and image analysis for astronomy

    Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Pedersen, Kim Steenstrup & Igel, Christian, 2017, I : IEEE Intelligent Systems. 32, 2, s. 16-22 7 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  12. Udgivet

    Characterization of errors in deep learning-based brain MRI segmentation

    Pai, Akshay Sadananda Uppinakudru, Teng, Y., Blair, Joseph Patrick Michele, Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (red.). Academic Press, s. 223–242 20 s.

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

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