Fabian Cristian Gieseke
Lektor
Machine Learning
Universitetsparken 1
2100 København Ø
- Udgivet
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. (red.). Springer, s. 86-97 12 s. (Lecture notes in computer science, Bind 8077).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures
Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Magnitude and Uncertainty Pruning Criterion for Neural Networks
Ko, V., Oehmcke, Stefan & Gieseke, Fabian Cristian, 2019, 2019 IEEE International Conference on Big Data, Big Data. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (red.). IEEE, s. 2317-2326 9005692. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 97-107 (Lecture notes in computer science, Bind 8817).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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, s. 111-115 5 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Wind energy prediction and monitoring with neural computation
Kramer, O., Gieseke, Fabian Cristian & Satzger, B., 2013, I: Neurocomputing. 109, s. 84-93 10 s.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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. (red.). s. 169-178 10 s. (Lecture notes in computer science, Bind 7006).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolutionary kernel density regression
Kramer, O. & Gieseke, Fabian Cristian, 2012, I: Expert Systems with Applications. 39, 10, s. 9246-9254 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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, Bind 4. s. 2381-2385 5 s. 6022597Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Short-term wind energy forecasting using support vector regression
Kramer, O. & Gieseke, Fabian Cristian, 2011, Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Corchado, E., Snášel, V., Sedano, J., Hassanien, A. E., Calvo, J. L. & Ślȩzak, D. (red.). Springer, s. 271-280 10 s. (Advances in Intelligent and Soft Computing, Bind 87).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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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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