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
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. 5708856Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Attention as activation
Dai, Y., Oehmcke, Stefan, Gieseke, Fabian Cristian, Wu, Y. & Barnard, K., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, p. 4131-4136 6 p. 9413020Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.Research output: Contribution to journal › Journal article › Research › peer-review
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
Learning morphological maps of galaxies with unsupervised regression
Kramer, O., Gieseke, Fabian Cristian & Polsterer, K. L., 2013, In: Expert Systems with Applications. 40, 8, p. 2841-2844 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Big universe, big data: machine learning and image analysis for astronomy
Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
Learning preferences with co-regularized least-squares
Tsivtsivadze, E., Gieseke, Fabian Cristian, Pahikkala, T., Boberg, J. & Salakoski, T., 2008, Proceedings of the ECML/PKDD Workshop on Preference Learning. p. 52-66 15 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Variance scaling for EDAs revisited
Kramer, O. & Gieseke, Fabian Cristian, 2011, KI 2011: Advances in Artificial Intelligence: 34th Annual German Conference on AI, Proceedings. Bach, J. & Edelkamp, S. (eds.). p. 169-178 10 p. (Lecture notes in computer science, Vol. 7006).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Analysis of wind energy time series with kernel methods and neural networks
Kramer, O. & Gieseke, Fabian Cristian, 2011, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. IEEE, Vol. 4. p. 2381-2385 5 p. 6022597Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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
Evolutionary kernel density regression
Kramer, O. & Gieseke, Fabian Cristian, 2012, In: Expert Systems with Applications. 39, 10, p. 9246-9254 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
Support vector machines for wind energy prediction in smart grids
Kramer, O., Treiber, N. A. & Gieseke, Fabian Cristian, 2013, Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management. Shaker Verlag, p. 16-24 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 3Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Massively-parallel break detection for satellite data
von Mehren, M., Gieseke, Fabian Cristian, Verbesselt, J., Rosca, S., Horion, Stéphanie & Zeileis, A., 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
- Published
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, In: Remote Sensing of Environment. 302, 21 p., 113968.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 91244670
Most downloads
-
2314
downloads
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
Published -
245
downloads
Big universe, big data: machine learning and image analysis for astronomy
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
119
downloads
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