Fabian Cristian Gieseke
Associate Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
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. (eds.). IEEE, p. 2317-2326 9005692. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
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
Input Selection for Bandwidth-Limited Neural Network Inference
Oehmcke, Stefan & Gieseke, Fabian Cristian, 2022, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022. SIAM, p. 280-288 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
Galaxy classification without feature extraction
Polsterer, K. L., Gieseke, Fabian Cristian & Kramer, O., 2012, Astronomical Data Analysis Software and Systems XXI. Ballester, P. (ed.). Astronomical Society of the Pacific, p. 561-564 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 461).Research 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
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
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
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
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 -
246
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