Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


  1. Published

    Massively-parallel break detection for satellite data

    von Mehren, M., Gieseke, Fabian Cristian, Verbesselt, J., Rosca, S., Horion, Stéphanie & Zeileis, A., 2018, SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management . Association for Computing Machinery, Vol. Part F137913. 10 p. 5

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  2. 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, Fabian Cristian, 1 Dec 2017, In: Monthly Notices of the Royal Astronomical Society. 472, 3, p. 2808-2822 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Learning preferences with co-regularized least-squares

    Tsivtsivadze, E., Gieseke, Fabian Cristian, Pahikkala, T., Boberg, J. & Salakoski, T., 2008, Proceedings of the ECML/PKDD Workshop on Preference Learning. p. 52-66 15 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published
  5. Published

    Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

    Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, In: Monthly Notices of the Royal Astronomical Society. 464, 3, p. 2577-2596 20 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. 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 Cristian, de Souza, R. S., Fantaye, Y. T. & Mazzali, P. A., 2016, In: Monthly Notices of the Royal Astronomical Society. 461, 2, p. 2044-2059 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Published

    Prediction of above ground biomass and C-stocks based on UAV-LiDAR,multispectral imagery and machine learning methods.

    Revenga, J. C., Trepekli, Aikaterini, Oehmcke, Stefan, Gieseke, Fabian Cristian, Jensen, Rasmus & Friborg, Thomas, 2021. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  8. Published

    Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

    Revenga, J. C., Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, In: Remote Sensing. 14, 16, 22 p., 3912.

    Research output: Contribution to journalJournal articlepeer-review

  9. Published

    More than one quarter of Africa's tree cover is found outside areas previously classified as forest

    Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 others, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.

    Research output: Contribution to journalJournal articlepeer-review

  10. Uncertain photometric redshifts

    Polsterer, K. L., D'Isanto, A. & Gieseke, Fabian Cristian, 2016, (Accepted/In press). 11 p.

    Research output: Contribution to conferencePaperResearch

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