Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


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  1. Published

    Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs

    Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian, Doser, B. & Gianniotis, N., 2016, Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, p. 405-410 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. Von überwachten zu unüberwachten Support-Vektor-Maschinen und Anwendungen in der Astronomie.

    Gieseke, Fabian Cristian, 2012, Ausgezeichnete Informatikdissertationen 2012. Hölldobler, S. (ed.). Gesellschaft für Informatik, p. 111-120 10 p. (Lecture Notes in Informatics, Vol. D-13).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. DRACULA: Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy

    Aguena, M., Busti, V. C., Camacho, H., Sasdelli, M., Ishida, E. E. O., Vilalta, R., Trindade, A. M. M., Gieseke, Fabian Cristian, de Souza, R. S. & Fantaye, Y. T., 2015

    Research output: Non-textual form › Computer programme › Research

  4. Fast evolutionary maximum margin clustering

    Gieseke, Fabian Cristian, Pahikkala, T. & Kramer, O., 2009, Proceedings of the 26th Annual International Conference on Machine Learning. p. 361-368 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. An efficient many-core implementation for semi-supervised support vector machines

    Gieseke, Fabian Cristian, 2015, Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers. Pardalos, P., Pavone, M., Farinella, G. M. & Cutello, V. (eds.). Springer, p. 145-157 13 p. (Lecture notes in computer science, Vol. 9432).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Speedy local search for semi-supervised regularized least-squares

    Gieseke, Fabian Cristian, Kramer, O., Airola, A. & Pahikkala, T., 2011, KI 2011: Advances in Artificial Intelligence : - 34th Annual German Conference on AI, Proceedings. Bach, J. & Edelkamp, S. (eds.). p. 87-98 12 p. (Lecture notes in computer science, Vol. 7006).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Pruning spanners and constructing well-separated pair decompositions in the presence of memory hierarchies

    Gieseke, Fabian Cristian, Gudmundsson, J. & Vahrenhold, J., 2010, In: Journal of Discrete Algorithms. 8, 3, p. 259-272 14 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. A stochastic optimization approach for unsupervised kernel regression

    Kramer, O. & Gieseke, Fabian Cristian, 2011, Proceedings of the 2011 International Conference on Genetic and Evolutionary Methods: GEM 2011. CSREA Press, p. 111-115 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Cache-oblivious construction of a well-separated pair decomposition

    Gieseke, Fabian Cristian & Vahrenhold, J., 2009, Proceedings of the 25th European Workshop on Computational Geometry. p. 341-344 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  10. Batch steepest-descent-mildest-ascent for interactive maximum margin clustering

    Gieseke, Fabian Cristian, Pahikkala, T. & Heskes, T., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., De Bie, T. & van Leeuwen, M. (eds.). Springer, p. 95-107 13 p. (Lecture notes in computer science, Vol. 9385).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. Detecting quasars in large-scale astronomical surveys

    Gieseke, Fabian Cristian, Polsterer, K. L., Thom, A., Zinn, P., Bomanns, D., Dettmar, R. J., Kramer, O. & Vahrenhold, J., 2010, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. IEEE, p. 352-357 6 p. 5708856

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  12. Published

    Attention as activation

    Dai, Y., Oehmcke, Stefan, Gieseke, Fabian Cristian, Wu, Y. & Barnard, K., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, p. 4131-4136 6 p. 9413020

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. Published

    Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

    Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.

    Research output: Contribution to journal › Journal article › Research › peer-review

  14. Towards non-linear constraint estimation for expensive optimization

    Gieseke, Fabian Cristian & Kramer, O., 2013, Applications of Evolutionary Computation: 16th European Conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Esparcia-Alcázar, A. I. (ed.). Springer, p. 459-468 10 p. (Lecture notes in computer science, Vol. 7835).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  15. Learning morphological maps of galaxies with unsupervised regression

    Kramer, O., Gieseke, Fabian Cristian & Polsterer, K. L., 2013, In: Expert Systems with Applications. 40, 8, p. 2841-2844 4 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  16. Published

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

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

    Research output: Contribution to journal › Journal article › Research › peer-review

  17. 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 proceeding › Article in proceedings › Research › peer-review

  18. Variance scaling for EDAs revisited

    Kramer, O. & Gieseke, Fabian Cristian, 2011, KI 2011: Advances in Artificial Intelligence: 34th Annual German Conference on AI, Proceedings. Bach, J. & Edelkamp, S. (eds.). p. 169-178 10 p. (Lecture notes in computer science, Vol. 7006).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  19. Analysis of wind energy time series with kernel methods and neural networks

    Kramer, O. & Gieseke, Fabian Cristian, 2011, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. IEEE, Vol. 4. p. 2381-2385 5 p. 6022597

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  20. From supervised to unsupervised support vector machines and applications in astronomy

    Gieseke, Fabian Cristian, 2013, In: KI - Künstliche Intelligenz. 27, 3, p. 281-285 5 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  21. Evolutionary kernel density regression

    Kramer, O. & Gieseke, Fabian Cristian, 2012, In: Expert Systems with Applications. 39, 10, p. 9246-9254 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  22. Support vector machines for wind energy prediction in smart grids

    Kramer, O., Treiber, N. A. & Gieseke, Fabian Cristian, 2013, Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management. Shaker Verlag, p. 16-24 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  23. Published

    Creating cloud-free satellite imagery from image time series with deep learning

    Oehmcke, Stefan, Chen, T. H. K., Prishchepov, Alexander V. & Gieseke, Fabian Cristian, 3 Nov 2020, Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BIGSPATIAL 2020. Chandola, V., Vatsavai, R. R. & Shashidharan, A. (eds.). Association for Computing Machinery, 10 p. 3

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  24. 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 proceeding › Article in proceedings › Research › peer-review

  25. Published

    Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

    Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, In: Remote Sensing of Environment. 302, 21 p., 113968.

    Research output: Contribution to journal › Journal article › Research › peer-review

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