Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


Publication year:
All
31 - 40 out of 73Page size: 10
Sort by: 1st author
  1. Published

    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. (eds.). Springer, p. 86-97 12 p. (Lecture notes in computer science, Vol. 8077).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  2. Published

    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. (eds.). Ljubljana: Jožef Stefan Institute , p. 13-19 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. 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

  4. Published

    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. (eds.). Springer, p. 97-107 (Lecture notes in computer science, Vol. 8817).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. 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, p. 111-115 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Wind energy prediction and monitoring with neural computation

    Kramer, O., Gieseke, Fabian Cristian & Satzger, B., 2013, In: Neurocomputing. 109, p. 84-93 10 p.

    Research output: Contribution to journal › Conference article › Research › peer-review

  7. 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. (eds.). p. 169-178 10 p. (Lecture notes in computer science, Vol. 7006).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Evolutionary kernel density regression

    Kramer, O. & Gieseke, Fabian Cristian, 2012, In: Expert Systems with Applications. 39, 10, p. 9246-9254 9 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 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, Vol. 4. p. 2381-2385 5 p. 6022597

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. 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. (eds.). Springer, p. 271-280 10 p. (Advances in Intelligent and Soft Computing, Vol. 87).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Previous 1 2 3 4 5 6 7 8 Next

ID: 91244670