Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


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  1. 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

  2. Efficient recurrent local search strategies for semi-and unsupervised regularized least-squares classification

    Gieseke, Fabian Cristian, Kramer, O., Airola, A. & Pahikkala, T., 2012, In: Evolutionary Intelligence. 5, 3, p. 189-205 17 p.

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

  3. Photometric redshift estimation of quasars: local versus global regression

    Gieseke, Fabian Cristian, Polsterer, K. L. & Zinn, P., 2011, Astronomical Data Analysis Software and Systems XXI. Astronomical Society of the Pacific, p. 537-540 4 p. (ASP Conference Series, Vol. 461).

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

  4. Resilient k-d trees: k-means in space revisited

    Gieseke, Fabian Cristian, Moruz, G. & Vahrenhold, J., 2012, In: Frontiers of Computer Science. 6, 2, p. 166-178 13 p.

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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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