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
  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. 2016
  9. 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

  10. 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

  11. 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

  12. 2015
  13. DRACULA : Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy.. Aguena, Michel (Producer); Busti, Vinicius C (Producer); Camacho, Hugo (Producer); Sasdelli, Michele (Producer); Ishida, Emille E. O. (Producer); Vilalta, Ricardo (Producer); Trindade, Arlindo M. M. (Producer); Gieseke, Fabian (Producer); de Souza, Rafael S. (Producer); Fantaye, Yabebal T. (Producer). 2015.

    Research output: Non-textual formComputer programme

  14. An efficient many-core implementation for semi-supervised support vector machines. / Gieseke, Fabian.

    Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers. ed. / Panos Pardalos; Mario Pavone; Giovanni Maria Farinella; Vincenzo Cutello. Springer, 2015. p. 145-157.

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

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