Fabian Cristian Gieseke

Fabian Cristian Gieseke

Lektor


  1. Udgivet

    Nearest neighbor density ratio estimation for large-scale applications in astronomy

    Kremer, J., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2015, I: Astronomy and Computing. 12, s. 67-72 6 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Learning morphological maps of galaxies with unsupervised regression

    Kramer, O., Gieseke, Fabian Cristian & Polsterer, K. L., 2013, I: Expert Systems with Applications. 40, 8, s. 2841-2844 4 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  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, s. 111-115 5 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. 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 tidsskriftKonferenceartikelForskningfagfællebedømt

  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. (red.). s. 169-178 10 s. (Lecture notes in computer science, Bind 7006).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

  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, Bind 4. s. 2381-2385 5 s. 6022597

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  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. (red.). Springer, s. 271-280 10 s. (Advances in Intelligent and Soft Computing, Bind 87).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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