Fabian Cristian Gieseke

Fabian Cristian Gieseke

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  1. 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. (red.). Springer, s. 145-157 13 s. (Lecture notes in computer science, Bind 9432).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  2. Detecting quasars in large-scale astronomical surveys

    Gieseke, Fabian Cristian, Polsterer, K. L., Thom, A., Zinn, P., Bomanns, D., Dettmar, R. J., Kramer, O. & Vahrenhold, J., 2010, Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010. IEEE, s. 352-357 6 s. 5708856

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. 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

  4. 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. 1445-1454

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. 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

  6. Udgivet

    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 s. (JMLR: Workshop and Conference Proceedings, Bind 32).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. 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

  8. 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

  9. 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

  10. 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

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