Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


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  1. Published

    On GPU-based nearest neighbor queries for large-scale photometric catalogs in astronomy

    Heinermann, J., Kramer, O., Polsterer, K. L. & Gieseke, Fabian Cristian, 2013, KI 2013: Advances in Artificial Intelligence: 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings. Timm, I. J. & Thimm, M. (eds.). Springer, p. 86-97 12 p. (Lecture notes in computer science, Vol. 8077).

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

  2. Galaxy classification without feature extraction

    Polsterer, K. L., Gieseke, Fabian Cristian & Kramer, O., 2012, Astronomical Data Analysis Software and Systems XXI. Ballester, P. (ed.). Astronomical Society of the Pacific, p. 561-564 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 461).

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

  3. Analyzing complex and structured data via unsupervised learning techniques

    Polsterer, K. L., Gieseke, Fabian Cristian, Gianniotis, N. & Kügler, D., 2015.

    Research output: Contribution to conference › Paper › Research

  4. Published

    Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees

    Oancea, Cosmin Eugen, Robroek, T. & Gieseke, Fabian Cristian, 2020, Proceedings of the IEEE International Conference on Big Data (BigData2020). 10 ed. IEEE, p. 5172-5181

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

  5. Published

    Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties: Autotuning in Futhark

    Munksgaard, P., Breddam, S. L., Henriksen, Troels, Gieseke, Fabian Cristian & Oancea, Cosmin Eugen, 2021, Trends in Functional Programming - 22nd International Symposium, TFP 2021, Revised Selected Papers. Zsok, V. & Hughes, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12834 LNCS).

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

  6. Published

    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, In: Knowledge-Based Systems. 120, p. 1-3 3 p.

    Research output: Contribution to journal › Journal article › Research

  7. Published

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

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

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  8. Published

    Plant Structure and Carbon Storage Assessment Utilizing Drone-Borne Lidar and Deep Learning Technologies in a Danish Agricultural Expanse.

    Trepekli, Aikaterini, Caballer Revenga, Jaime, Oehmcke, Stefan, Gieseke, Fabian Cristian, Jensen, Rasmus & Friborg, Thomas, 2021. 12 p.

    Research output: Contribution to conference › Paper › Research

  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 journal › Journal article › Research › peer-review

  10. Published

    Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

    Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (eds.). Ljubljana: Jožef Stefan Institute , p. 13-19 7 p.

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

  11. Algorithmen zur Konstruktion und Ausdünnung von Spanner-Graphen im Cache-Oblivious-Modell

    Gieseke, Fabian Cristian, 2007, Universität Dortmund. 163 p. (Algorithm Engineering Report, Vol. TR07-3-005).

    Research output: Book/Report › Report › Research

  12. 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 journal › Journal article › Research › peer-review

  13. 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 journal › Journal article › Research › peer-review

  14. Fast and simple gradient-based optimization for semi-supervised support vector machines

    Gieseke, Fabian Cristian, Airola, A., Pahikkala, T. & Kramer, O., 2014, In: Neurocomputing. 123, p. 23-32 10 p.

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

  15. Published

    Nearest neighbor density ratio estimation for large-scale applications in astronomy

    Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.

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

  16. Published

    Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests

    Lülf, C., Mayr Lima Martins, D., Vaz Salles, M. A., Zhou, Yongluan & Gieseke, Fabian Cristian, 2023, In: Proceedings of the VLDB Endowment. 16, 13, p. 2845–2857

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

  17. Published

    RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery

    Lülf, C., Martins, D. M. L., Salles, M. A. V., Zhou, Yongluan & Gieseke, Fabian Cristian, 2023, 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023. Damiani, M. L., Renz, M., Eldawy, A., Kroger, P. & Nascimento, M. A. (eds.). Association for Computing Machinery, Inc., p. 1-4 58. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

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

  18. Published

    Speedy greedy feature selection: better redshift estimation via massive parallelism

    Gieseke, Fabian Cristian, Polsterer, K. L., Oancea, Cosmin Eugen & Igel, Christian, 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 87-92 6 p.

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

  19. Published

    On the realistic validation of photometric redshifts

    COIN Collaboration, C. C., 1 Jul 2017, In: Monthly Notices of the Royal Astronomical Society. 468, 4, p. 4323-4339 17 p.

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

  20. Published

    A framework for data mining in wind power time series

    Kramer, O., Gieseke, Fabian Cristian, Heinermann, J., Poloczek, J. & Treiber, N. A., 2014, Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Woon, W. L., Aung, Z. & Madnick, S. (eds.). Springer, p. 97-107 (Lecture notes in computer science, Vol. 8817).

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

  21. Uncertain photometric redshifts

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

    Research output: Contribution to conference › Paper › Research

  22. Published

    Artistic movement recognition by consensus of boosted SVM based experts

    Florea, C. & Gieseke, Fabian Cristian, 2018, In: Journal of Visual Communication and Image Representation. 56, p. 220-233

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

  23. Published

    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, p. 1445-1454

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

  24. Published

    Artistic movement recognition by boosted fusion of color structure and topographic description

    Florea, C., Toca, C. & Gieseke, Fabian Cristian, 11 May 2017, Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision. IEEE, p. 569-577 9 p.

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

  25. Published

    Massively-parallel change detection for satellite time series data with missing values

    Gieseke, Fabian Cristian, Rosca, S., Henriksen, Troels, Verbesselt, J. & Oancea, Cosmin Eugen, 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, p. 385-396 9101616

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

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