Fabian Cristian Gieseke
Lektor
Machine Learning
Universitetsparken 1
2100 København Ø
Galaxy classification without feature extraction
Polsterer, K. L., Gieseke, Fabian Cristian & Kramer, O., 2012, Astronomical Data Analysis Software and Systems XXI. Ballester, P. (red.). Astronomical Society of the Pacific, s. 561-564 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 461).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). Astronomical Society of the Pacific, Bind 485. s. 425-428 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 485).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Analyzing complex and structured data via unsupervised learning techniques
Polsterer, K. L., Gieseke, Fabian Cristian, Gianniotis, N. & Kügler, D., 2015.Publikation: Konferencebidrag › Paper › Forskning
- Udgivet
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. (red.). Astronomical Society of the Pacific, Bind 24. s. 81-86 6 s. (ASP Conference Series, Bind 495).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Finding new high-redshift quasars by asking the neighbours
Polsterer, K. L., Zinn, P. C. & Gieseke, Fabian Cristian, 2013, I: Monthly Notices of the Royal Astronomical Society. 428, 1, s. 226-235 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, s. 405-410 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
On unsupervised training of multi-class regularized least-squares classifiers
Pahikkala, T., Airola, A., Gieseke, Fabian Cristian & Kramer, O., 2014, I: Journal of Computer Science and Technology. 29, 1, s. 90-104 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Unsupervised multi-class regularized least-squares classification
Pahikkala, T., Airola, A., Gieseke, Fabian Cristian & Kramer, O., 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. IEEE, s. 585-594 10 s. 6413868Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). Association for Computing Machinery, 10 s. 3Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data
Oehmcke, Stefan, Thrysøe, C., Borgstad, A., Vaz Salles, M. A., Brandt, Martin Stefan & Gieseke, Fabian Cristian, 2019, Proceedings of the IEEE International Conference on Big Data, Big Data 2019: Special Session on Intelligent Data Mining. IEEE, s. 2403-2412 9006251,Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 91244670
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Big universe, big data: machine learning and image analysis for astronomy
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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119
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Creating cloud-free satellite imagery from image time series with deep learning
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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