Research output per year
Research output per year
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Dive into the research topics where Fabian Cristian Gieseke is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
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Bigger buffer k-d trees on multi-many-core systems
Gieseke, F. C., Oancea, C. E., Mahabal, A., Igel, C. & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, p. 202-214 (Lecture Notes in Computer Science, Vol. 11333).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data
Oehmcke, S., Thrysøe, C., Borgstad, A., Vaz Salles, M. A., Brandt, M. S. & Gieseke, F. C., Dec 2019, Proceedings of the IEEE International Conference on Big Data, Big Data 2019: Special Session on Intelligent Data Mining. 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Artistic movement recognition by consensus of boosted SVM based experts
Florea, C. & Gieseke, F., 2018, In: Journal of Visual Communication and Image Representation. 56, p. 220-233Research output: Contribution to journal › Journal article › Research › peer-review
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Massively-parallel break detection for satellite data
von Mehren, M., Gieseke, F., Verbesselt, J., Rosca, S., Horion, S. & Zeileis, A., 9 Jul 2018, SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management . Association for Computing Machinery, Vol. Part F137913. 10 p. 5Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Training big random forests with little resources
Gieseke, F. & Igel, C., 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, p. 1445-1454Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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, F., 1 Dec 2017, In: Monthly Notices of the Royal Astronomical Society. 472, 3, p. 2808-2822 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Artistic movement recognition by boosted fusion of color structure and topographic description
Florea, C., Toca, C. & Gieseke, F. C., 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
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Big universe, big data: machine learning and image analysis for astronomy
Kremer, J., Stensbo-Smidt, K., Gieseke, F. C., Pedersen, K. S. & Igel, C., 1 Mar 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.Research output: Contribution to journal › Journal article › Research › peer-review