Staff – University of Copenhagen

Fabian Cristian Gieseke

Fabian Cristian Gieseke

Assistant professor


  1. 2018
  2. 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

  3. 2017
  4. Published

    Artistic movement recognition by boosted fusion of color structure and topographic description. / Florea, Corneliu; Toca, Cosmin; Gieseke, Fabian Cristian.

    Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision. IEEE, 2017. p. 569-577.

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

  5. 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

  6. 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

  7. Published

    Sacrificing information for the greater good : how to select photometric bands for optimal accuracy. / Stensbo-Smidt, Kristoffer; Gieseke, Fabian Cristian; Igel, Christian; Zirm, Andrew Wasmuth; Pedersen, Kim Steenstrup.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 464, No. 3, 2017, p. 2577-2596.

    Research output: Contribution to journalJournal article

  8. A probabilistic approach to emission-line galaxy classification. / de Souza, R. S.; Dantas, M. L.L.; Costa-Duarte, M. V.; Feigelson, E. D.; Killedar, M.; Lablanche, P. Y.; Vilalta, R.; Krone-Martins, A.; Beck, R.; Gieseke, F.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 472, No. 3, 01.12.2017, p. 2808-2822.

    Research output: Contribution to journalJournal article

  9. Published

    On the realistic validation of photometric redshifts. / COIN Collaboration.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 468, No. 4, 01.07.2017, p. 4323-4339.

    Research output: Contribution to journalJournal article

  10. 2016
  11. Published

    Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. / Polsterer, K. L.; Gieseke, Fabian Cristian; Igel, Christian; Doser, B.; Gianniotis, N.

    Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, 2016. p. 405-410.

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

  12. Uncertain photometric redshifts. / Polsterer, Kai Lars; D'Isanto, Antonio; Gieseke, Fabian.

    2016. Paper presented at Annual Meeting of the German Astronomical Sociery, Bochum, Germany.

    Research output: Contribution to conferencePaper

  13. Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA : a machine learning approach. / Sasdelli, M.; Ishida, E. E. O.; Vilalta, R.; Aguena, M.; Busti, V. C.; Camacho, H.; Trindade, A. M. M.; Gieseke, Fabian; de Souza, R. S.; Fantaye, Y. T.; Mazzali, P. A.

    In: Monthly Notices of the Royal Astronomical Society, Vol. 461, No. 2, 2016, p. 2044-2059.

    Research output: Contribution to journalJournal article

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