Fabian Cristian Gieseke

Fabian Cristian Gieseke

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  1. Udgivet

    On unsupervised training of multi-class regularized least-squares classifiers

    Pahikkala, T., Airola, A., Gieseke, Fabian Cristian & Kramer, O., 2014, I: Journal of Computer Science and Technology. 29, 1, s. 90-104 15 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  2. Udgivet

    Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs

    Polsterer, K. L., Gieseke, Fabian Cristian, Igel, Christian, Doser, B. & Gianniotis, N., 2016, Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). i6doc.com, s. 405-410 6 s.

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

  3. Photometric redshift estimation of quasars: local versus global regression

    Gieseke, Fabian Cristian, Polsterer, K. L. & Zinn, P., 2011, Astronomical Data Analysis Software and Systems XXI. Astronomical Society of the Pacific, s. 537-540 4 s. (ASP Conference Series, Bind 461).

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

  4. Udgivet

    Plant Structure and Carbon Storage Assessment Utilizing Drone-Borne Lidar and Deep Learning Technologies in a Danish Agricultural Expanse.

    Trepekli, Aikaterini, Caballer Revenga, Jaime, Oehmcke, Stefan, Gieseke, Fabian Cristian, Jensen, Rasmus & Friborg, Thomas, 2021. 12 s.

    Publikation: Konferencebidrag › Paper › Forskning

  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

    Prediction of above ground biomass and C-stocks based on UAV-LiDAR,multispectral imagery and machine learning methods.

    Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Gieseke, Fabian Cristian, Jensen, Rasmus & Friborg, Thomas, 2021. 1 s.

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  7. Pruning spanners and constructing well-separated pair decompositions in the presence of memory hierarchies

    Gieseke, Fabian Cristian, Gudmundsson, J. & Vahrenhold, J., 2010, I: Journal of Discrete Algorithms. 8, 3, s. 259-272 14 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. 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

  9. Resilient k-d trees: k-means in space revisited

    Gieseke, Fabian Cristian, Moruz, G. & Vahrenhold, J., 2012, I: Frontiers of Computer Science. 6, 2, s. 166-178 13 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. Udgivet

    Sacrificing information for the greater good: how to select photometric bands for optimal accuracy

    Stensbo-Smidt, K., Gieseke, Fabian Cristian, Igel, Christian, Zirm, A. W. & Steenstrup Pedersen, Kim, 2017, I: Monthly Notices of the Royal Astronomical Society. 464, 3, s. 2577-2596 20 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Uncertain photometric redshifts

    Polsterer, K. L., D'Isanto, A. & Gieseke, Fabian Cristian, 2016, (Accepteret/In press). 11 s.

    Publikation: Konferencebidrag › Paper › Forskning

  19. 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. 6413868

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

  20. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  21. Von überwachten zu unüberwachten Support-Vektor-Maschinen und Anwendungen in der Astronomie.

    Gieseke, Fabian Cristian, 2012, Ausgezeichnete Informatikdissertationen 2012. Hölldobler, S. (red.). Gesellschaft für Informatik, s. 111-120 10 s. (Lecture Notes in Informatics, Bind D-13).

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

  22. 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 tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  23. Udgivet

    bufferkdtree: a Python library for massive nearest neighbor queries on multi-many-core devices

    Gieseke, Fabian Cristian, Oancea, Cosmin Eugen & Igel, Christian, 15 mar. 2017, I: Knowledge-Based Systems. 120, s. 1-3 3 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

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ID: 91244670