Fabian Cristian Gieseke
Lektor
Machine Learning
Universitetsparken 1
2100 København Ø
- Udgivet
Polynomial runtime bounds for fixed-rank unsupervised least-squares classification
Gieseke, Fabian Cristian, Pahikkala, T. & Igel, Christian, 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (red.). Bind 29. s. 62-71 10 s. (JMLR: Workshop and Conference Proceedings, Bind 29).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery
Lülf, C., Martins, D. M. L., Salles, M. A. V., Zhou, Yongluan & Gieseke, Fabian Cristian, 2023, 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023. Damiani, M. L., Renz, M., Eldawy, A., Kroger, P. & Nascimento, M. A. (red.). Association for Computing Machinery, Inc., s. 1-4 58. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).Publikation: 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
Sparse quasi-Newton optimization for semi-supervised support vector machines
Gieseke, Fabian Cristian, Airola, A., Pahikkala, T. & Kramer, O., 2012, Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012). Carmona, P. L., Sánchez, J. S. & Fred, A. (red.). SCITEPRESS Digital Library, s. 45-54 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). i6doc.com, s. 87-92 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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. (red.). s. 87-98 12 s. (Lecture notes in computer science, Bind 7006).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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, s. 16-24 9 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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. (red.). Springer, s. 459-468 10 s. (Lecture notes in computer science, Bind 7835).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Training big random forests with little resources
Gieseke, Fabian Cristian & Igel, Christian, 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, s. 1445-1454Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › 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
ID: 91244670
Flest downloads
-
2314
downloads
Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
246
downloads
Big universe, big data: machine learning and image analysis for astronomy
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
119
downloads
Creating cloud-free satellite imagery from image time series with deep learning
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet