Fabian Cristian Gieseke
Associate Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 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
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
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., 2015Research output: Non-textual form › Computer programme › Research
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
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
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
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
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
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
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
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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243
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Big universe, big data: machine learning and image analysis for astronomy
Research output: Contribution to journal › Journal article › Research › peer-review
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119
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Creating cloud-free satellite imagery from image time series with deep learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published