Fabian Cristian Gieseke
Associate Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2017
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, Fabian Cristian, 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
- Published
On the realistic validation of photometric redshifts
COIN Collaboration, C. C., 1 Jul 2017, In: Monthly Notices of the Royal Astronomical Society. 468, 4, p. 4323-4339 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Artistic movement recognition by boosted fusion of color structure and topographic description
Florea, C., Toca, C. & Gieseke, Fabian Cristian, 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
- Published
bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices
Gieseke, Fabian Cristian, Oancea, Cosmin Eugen & Igel, Christian, 15 Mar 2017, In: Knowledge-Based Systems. 120, p. 1-3 3 p.Research output: Contribution to journal › Journal article › Research
- 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
- Published
Sacrificing information for the greater good: how to select photometric bands for optimal accuracy
Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, In: Monthly Notices of the Royal Astronomical Society. 464, 3, p. 2577-2596 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2016
Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach
Sasdelli, M., Ishida, E. E. O., Vilalta, R., Aguena, M., Busti, V. C., Camacho, H., Trindade, A. M. M., Gieseke, Fabian Cristian, de Souza, R. S., Fantaye, Y. T. & Mazzali, P. A., 2016, In: Monthly Notices of the Royal Astronomical Society. 461, 2, p. 2044-2059 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
Uncertain photometric redshifts
Polsterer, K. L., D'Isanto, A. & Gieseke, Fabian Cristian, 2016, (Accepted/In press). 11 p.Research output: Contribution to conference › Paper › Research
- 2015
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
Analyzing complex and structured data via unsupervised learning techniques
Polsterer, K. L., Gieseke, Fabian Cristian, Gianniotis, N. & Kügler, D., 2015.Research output: Contribution to conference › Paper › Research
- 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 proceeding › Article in proceedings › 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
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
- Published
Nearest neighbor density ratio estimation for large-scale applications in astronomy
Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, In: Astronomy and Computing. 12, p. 67-72 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2014
- Published
A framework for data mining in wind power time series
Kramer, O., Gieseke, Fabian Cristian, Heinermann, J., Poloczek, J. & Treiber, N. A., 2014, Data analytics for renewable energy integration: Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Woon, W. L., Aung, Z. & Madnick, S. (eds.). Springer, p. 97-107 (Lecture notes in computer science, Vol. 8817).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Gieseke, Fabian Cristian, Heinermann, J., Oancea, Cosmin Eugen & Igel, Christian, 2014, Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014. 9 p. (JMLR: Workshop and Conference Proceedings, Vol. 32).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Fast and simple gradient-based optimization for semi-supervised support vector machines
Gieseke, Fabian Cristian, Airola, A., Pahikkala, T. & Kramer, O., 2014, In: Neurocomputing. 123, p. 23-32 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- Published
Speedy greedy feature selection: better redshift estimation via massive parallelism
Gieseke, Fabian Cristian, Polsterer, K. L., Oancea, Cosmin Eugen & Igel, Christian, 2014, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 87-92 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2013
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 journal › Journal article › 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
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
On GPU-based nearest neighbor queries for large-scale photometric catalogs in astronomy
Heinermann, J., Kramer, O., Polsterer, K. L. & Gieseke, Fabian Cristian, 2013, KI 2013: Advances in Artificial Intelligence: 36th Annual German Conference on AI, Koblenz, Germany, September 16-20, 2013. Proceedings. Timm, I. J. & Thimm, M. (eds.). Springer, p. 86-97 12 p. (Lecture notes in computer science, Vol. 8077).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
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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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Creating cloud-free satellite imagery from image time series with deep learning
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