Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


  1. 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 proceedingArticle in proceedingsResearchpeer-review

  2. Published

    Improving the performance of photometric regression models via massive parallel feature selection

    Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian & Goto, T., 2014, Astronomical Data Analysis Software and Systems XXIII. Manset, N. & Forshay, P. (eds.). Astronomical Society of the Pacific, Vol. 485. p. 425-428 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

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

  4. Published

    Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK)

    Polsterer, K. L., Gieseke, Fabian Cristian & Igel, Christian, 2015, Astronomical Data Analysis Software and Systems: Proceedings of a meeting held at Calgary, Alberta, Canada 5-9 October 2014. Taylor, A. R. & Rosolowsky, E. (eds.). Astronomical Society of the Pacific, Vol. 24. p. 81-86 6 p. (ASP Conference Series, Vol. 495).

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

  5. Finding new high-redshift quasars by asking the neighbours

    Polsterer, K. L., Zinn, P. C. & Gieseke, Fabian Cristian, 2013, In: Monthly Notices of the Royal Astronomical Society. 428, 1, p. 226-235 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 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 proceedingArticle in proceedingsResearchpeer-review

  7. Published

    On unsupervised training of multi-class regularized least-squares classifiers

    Pahikkala, T., Airola, A., Gieseke, Fabian Cristian & Kramer, O., 2014, In: Journal of Computer Science and Technology. 29, 1, p. 90-104 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Unsupervised multi-class regularized least-squares classification

    Pahikkala, T., Airola, A., Gieseke, Fabian Cristian & Kramer, O., 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. IEEE, p. 585-594 10 p. 6413868

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

  9. 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 proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data

    Oehmcke, Stefan, Thrysøe, C., Borgstad, A., Vaz Salles, M. A., Brandt, Martin Stefan & Gieseke, Fabian Cristian, 2019, Proceedings of the IEEE International Conference on Big Data, Big Data 2019: Special Session on Intelligent Data Mining. IEEE, p. 2403-2412 9006251,

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

ID: 91244670