Fabian Cristian Gieseke

Fabian Cristian Gieseke

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

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

  3. 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

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

  5. Analyzing complex and structured data via unsupervised learning techniques

    Polsterer, K. L., Gieseke, Fabian Cristian, Gianniotis, N. & Kügler, D., 2015.

    Publikation: Konferencebidrag › Paper › Forskning

  6. Udgivet

    Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees

    Oancea, Cosmin Eugen, Robroek, T. & Gieseke, Fabian Cristian, 2020, Proceedings of the IEEE International Conference on Big Data (BigData2020). 10 udg. IEEE, s. 5172-5181

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

  7. Udgivet

    Artistic movement recognition by boosted fusion of color structure and topographic description

    Florea, C., Toca, C. & Gieseke, Fabian Cristian, 11 maj 2017, Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision. IEEE, s. 569-577 9 s.

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

  8. Udgivet

    Attention as activation

    Dai, Y., Oehmcke, Stefan, Gieseke, Fabian Cristian, Wu, Y. & Barnard, K., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, s. 4131-4136 6 s. 9413020

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

  9. Udgivet

    Attentional feature fusion

    Dai, Y., Gieseke, Fabian Cristian, Oehmcke, Stefan, Wu, Y. & Barnard, K., 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. IEEE, s. 3559-3568

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

  10. Udgivet

    Automatic galaxy classification via machine learning techniques: Parallelized rotation/flipping INvariant Kohonen maps (PINK)

    Polsterer, K. L., Gieseke, Fabian Cristian & Igel, Christian, 2015, Astronomical Data Analysis Software and Systems: Proceedings of a meeting held at Calgary, Alberta, Canada 5-9 October 2014. Taylor, A. R. & Rosolowsky, E. (red.). Astronomical Society of the Pacific, Bind 24. s. 81-86 6 s. (ASP Conference Series, Bind 495).

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

  11. Batch steepest-descent-mildest-ascent for interactive maximum margin clustering

    Gieseke, Fabian Cristian, Pahikkala, T. & Heskes, T., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., De Bie, T. & van Leeuwen, M. (red.). Springer, s. 95-107 13 s. (Lecture notes in computer science, Bind 9385).

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

  12. 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

  13. Udgivet

    Creating cloud-free satellite imagery from image time series with deep learning

    Oehmcke, Stefan, Chen, T. H. K., Prishchepov, Alexander V. & Gieseke, Fabian Cristian, 3 nov. 2020, Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BIGSPATIAL 2020. Chandola, V., Vatsavai, R. R. & Shashidharan, A. (red.). Association for Computing Machinery, 10 s. 3

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

  14. Udgivet

    Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties: Autotuning in Futhark

    Munksgaard, P., Breddam, S. L., Henriksen, Troels, Gieseke, Fabian Cristian & Oancea, Cosmin Eugen, 2021, Trends in Functional Programming - 22nd International Symposium, TFP 2021, Revised Selected Papers. Zsok, V. & Hughes, J. (red.). Springer Science and Business Media Deutschland GmbH, s. 3-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12834 LNCS).

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

  15. Udgivet

    Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data

    Oehmcke, Stefan, Thrysøe, C., Borgstad, A., Vaz Salles, M. A., Brandt, Martin Stefan & Gieseke, Fabian Cristian, 2019, Proceedings of the IEEE International Conference on Big Data, Big Data 2019: Special Session on Intelligent Data Mining. IEEE, s. 2403-2412 9006251,

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

  16. 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

  17. 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

  18. Udgivet

    Estimating Forest Canopy Height with Multi-Spectral and Multi-Temporal Imagery Using Deep Learning

    Oehmcke, Stefan, Nyegaard-Signori, T., Grogan, K. & Gieseke, Fabian Cristian, 2021, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Chen, Y., Ludwig, H., Tu, Y., Fayyad, U., Zhu, X., Hu, X. T., Byna, S., Liu, X., Zhang, J., Pan, S., Papalexakis, V., Wang, J., Cuzzocrea, A. & Ordonez, C. (red.). Institute of Electrical and Electronics Engineers Inc., s. 4915-4924 10 s.

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

  19. Udgivet

    Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests

    Lülf, C., Mayr Lima Martins, D., Vaz Salles, M. A., Zhou, Yongluan & Gieseke, Fabian Cristian, 2023, I: Proceedings of the VLDB Endowment. 16, 13, s. 2845–2857

    Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

  20. Fast evolutionary maximum margin clustering

    Gieseke, Fabian Cristian, Pahikkala, T. & Kramer, O., 2009, Proceedings of the 26th Annual International Conference on Machine Learning. s. 361-368 8 s.

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

  21. Galaxy classification without feature extraction

    Polsterer, K. L., Gieseke, Fabian Cristian & Kramer, O., 2012, Astronomical Data Analysis Software and Systems XXI. Ballester, P. (red.). Astronomical Society of the Pacific, s. 561-564 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 461).

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

  22. Udgivet

    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. (red.). Astronomical Society of the Pacific, Bind 485. s. 425-428 4 s. (Astronomical Society of the Pacific. Conference Proceedings, Bind 485).

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

  23. Udgivet

    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, s. 280-288 9 s.

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

  24. 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. s. 52-66 15 s.

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

  25. 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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