Fabian Cristian Gieseke

Fabian Cristian Gieseke

Associate Professor


Publication year:
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1 - 73 out of 73Page size: 100
  1. 2024
  2. Published

    Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

    Oehmcke, Stefan, Li, Lei, Trepekli, Aikaterini, Caballer Revenga, Jaime, Nord-Larsen, Thomas, Gieseke, Fabian Cristian & Igel, Christian, 2024, In: Remote Sensing of Environment. 302, 21 p., 113968.

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

  3. 2023
  4. Published

    Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

    Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, In: PNAS Nexus. 2, 4, 16 p., pgad076.

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

  5. Published

    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, In: Proceedings of the VLDB Endowment. 16, 13, p. 2845–2857

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

  6. Published

    More than one quarter of Africa's tree cover is found outside areas previously classified as forest

    Reiner, F., Brandt, M., Tong, X., Skole, D., Kariryaa, A., Ciais, P., Davies, A., Hiernaux, P., Chave, J., Mugabowindekwe, M., Igel, C., Oehmcke, S., Gieseke, F., Li, S., Liu, S., Saatchi, S., Boucher, P., Singh, J., Taugourdeau, S., Dendoncker, M. & 4 others, Song, X., Mertz, Ole, Tucker, C. J. & Fensholt, Rasmus, 2023, In: Nature Communications. 14, 10 p., 2258.

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

  7. Published

    Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda

    Mugabowindekwe, M., Brandt, M., Chave, J., Reiner, F., Skole, D. L., Kariryaa, A., Igel, C., Hiernaux, P., Ciais, P., Mertz, O., Tong, X., Li, S., Rwanyiziri, G., Dushimiyimana, T., Ndoli, A., Uwizeyimana, V., Lillesø, J-P. B., Gieseke, F., Tucker, C. J., Saatchi, S. & 1 others, Fensholt, Rasmus, 2023, In: Nature climate change. 13, p. 91-97

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

  8. Published

    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. (eds.). Association for Computing Machinery, Inc., p. 1-4 58. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

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

  9. 2022
  10. Published

    Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

    Caballer Revenga, Jaime, Trepekli, Aikaterini, Oehmcke, Stefan, Jensen, Rasmus, Li, Lei, Igel, Christian, Gieseke, Fabian Cristian & Friborg, Thomas, 2022, In: Remote Sensing. 14, 16, 22 p., 3912.

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

  11. 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

  12. Published

    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, p. 280-288 9 p.

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

  13. 2021
  14. Published

    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, p. 3559-3568

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

  15. Published

    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. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-23 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12834 LNCS).

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

  16. Published

    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. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 4915-4924 10 p.

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

  17. Published

    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 p.

    Research output: Contribution to conference › Paper › Research

  18. Published

    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 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  19. 2020
  20. Published

    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. (eds.). Association for Computing Machinery, 10 p. 3

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

  21. Published

    An unexpectedly large count of trees in the West African Sahara and Sahel

    Brandt, M., Tucker, C. J., Kariryaa, A., Rasmussen, K., Abel, C., Small, J., Chave, J., Rasmussen, L. V., Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, O., Igel, C., Gieseke, F., Schöning, J., Li, S., Melocik, K., Meyer, J., Sinno, S., Romero, E. & 4 others, Glennie, E., Montagu, A., Dendoncker, M. & Fensholt, Rasmus, 2020, In: Nature. 587, p. 78–82

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

  22. Published

    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 ed. IEEE, p. 5172-5181

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

  23. Published

    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, p. 4131-4136 6 p. 9413020

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

  24. Published

    Massively-parallel change detection for satellite time series data with missing values

    Gieseke, Fabian Cristian, Rosca, S., Henriksen, Troels, Verbesselt, J. & Oancea, Cosmin Eugen, 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. IEEE, p. 385-396 9101616

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

  25. 2019
  26. Published

    Bigger buffer k-d trees on multi-many-core systems

    Gieseke, Fabian Cristian, Oancea, Cosmin Eugen, Mahabal, A., Igel, Christian & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, p. 202-214 (Lecture Notes in Computer Science, Vol. 11333).

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

  27. Published

    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, p. 2403-2412 9006251,

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

  28. 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

  29. 2018
  30. Published

    Artistic movement recognition by consensus of boosted SVM based experts

    Florea, C. & Gieseke, Fabian Cristian, 2018, In: Journal of Visual Communication and Image Representation. 56, p. 220-233

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

  31. Published

    Massively-parallel break detection for satellite data

    von Mehren, M., Gieseke, Fabian Cristian, Verbesselt, J., Rosca, S., Horion, Stéphanie & Zeileis, A., 2018, SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management . Association for Computing Machinery, Vol. Part F137913. 10 p. 5

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

  32. Published

    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, p. 1445-1454

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

  33. 2017

  34. A probabilistic approach to emission-line galaxy classification

    de Souza, R. S., Dantas, M. L. L., Costa-Duarte, M. V., Feigelson, E. D., Killedar, M., Lablanche, P. Y., Vilalta, R., Krone-Martins, A., Beck, R. & Gieseke, Fabian Cristian, 1 Dec 2017, In: Monthly Notices of the Royal Astronomical Society. 472, 3, p. 2808-2822 15 p.

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

  35. Published

    On the realistic validation of photometric redshifts

    COIN Collaboration, C. C., 1 Jul 2017, In: Monthly Notices of the Royal Astronomical Society. 468, 4, p. 4323-4339 17 p.

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

  36. Published

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

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

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

  37. Published

    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, In: Knowledge-Based Systems. 120, p. 1-3 3 p.

    Research output: Contribution to journal › Journal article › Research

  38. Published

    Big universe, big data: machine learning and image analysis for astronomy

    Kremer, J., Stensbo-Smidt, K., Gieseke, Fabian Cristian, Steenstrup Pedersen, Kim & Igel, Christian, 2017, In: IEEE Intelligent Systems. 32, 2, p. 16-22 7 p.

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

  39. Published

    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, In: Monthly Notices of the Royal Astronomical Society. 464, 3, p. 2577-2596 20 p.

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

  40. 2016

  41. Exploring the spectroscopic diversity of Type Ia supernovae with DRACULA: a machine learning approach

    Sasdelli, M., Ishida, E. E. O., Vilalta, R., Aguena, M., Busti, V. C., Camacho, H., Trindade, A. M. M., Gieseke, Fabian Cristian, de Souza, R. S., Fantaye, Y. T. & Mazzali, P. A., 2016, In: Monthly Notices of the Royal Astronomical Society. 461, 2, p. 2044-2059 16 p.

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

  42. Published

    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, p. 405-410 6 p.

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

  43. Uncertain photometric redshifts

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

    Research output: Contribution to conference › Paper › Research

  44. 2015

  45. 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. (eds.). Springer, p. 145-157 13 p. (Lecture notes in computer science, Vol. 9432).

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

  46. Analyzing complex and structured data via unsupervised learning techniques

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

    Research output: Contribution to conference › Paper › Research

  47. Published

    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. (eds.). Astronomical Society of the Pacific, Vol. 24. p. 81-86 6 p. (ASP Conference Series, Vol. 495).

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

  48. 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. (eds.). Springer, p. 95-107 13 p. (Lecture notes in computer science, Vol. 9385).

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

  49. DRACULA: Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy

    Aguena, M., Busti, V. C., Camacho, H., Sasdelli, M., Ishida, E. E. O., Vilalta, R., Trindade, A. M. M., Gieseke, Fabian Cristian, de Souza, R. S. & Fantaye, Y. T., 2015

    Research output: Non-textual form › Computer programme › Research

  50. Published

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

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

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

  51. 2014
  52. 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

  53. Published

    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 p. (JMLR: Workshop and Conference Proceedings, Vol. 32).

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

  54. Fast and simple gradient-based optimization for semi-supervised support vector machines

    Gieseke, Fabian Cristian, Airola, A., Pahikkala, T. & Kramer, O., 2014, In: Neurocomputing. 123, p. 23-32 10 p.

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

  55. Published

    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. (eds.). Astronomical Society of the Pacific, Vol. 485. p. 425-428 4 p. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

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

  56. Published

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

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

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

  57. Published

    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. (ed.). i6doc.com, p. 87-92 6 p.

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

  58. 2013

  59. Finding new high-redshift quasars by asking the neighbours

    Polsterer, K. L., Zinn, P. C. & Gieseke, Fabian Cristian, 2013, In: Monthly Notices of the Royal Astronomical Society. 428, 1, p. 226-235 10 p.

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

  60. From supervised to unsupervised support vector machines and applications in astronomy

    Gieseke, Fabian Cristian, 2013, In: KI - Künstliche Intelligenz. 27, 3, p. 281-285 5 p.

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

  61. Learning morphological maps of galaxies with unsupervised regression

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

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

  62. 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

  63. Published

    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. (eds.). Vol. 29. p. 62-71 10 p. (JMLR: Workshop and Conference Proceedings, Vol. 29).

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

  64. 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, p. 16-24 9 p.

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

  65. 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. (ed.). Springer, p. 459-468 10 p. (Lecture notes in computer science, Vol. 7835).

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

  66. 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

  67. 2012

  68. Efficient recurrent local search strategies for semi-and unsupervised regularized least-squares classification

    Gieseke, Fabian Cristian, Kramer, O., Airola, A. & Pahikkala, T., 2012, In: Evolutionary Intelligence. 5, 3, p. 189-205 17 p.

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

  69. 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

  70. Galaxy classification without feature extraction

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

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

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

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

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

  72. 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. (eds.). SCITEPRESS Digital Library, p. 45-54 10 p.

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

  73. 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, p. 585-594 10 p. 6413868

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

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

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

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

  75. 2011

  76. 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

  77. 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

  78. 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, p. 537-540 4 p. (ASP Conference Series, Vol. 461).

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

  79. 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

  80. 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. (eds.). p. 87-98 12 p. (Lecture notes in computer science, Vol. 7006).

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

  81. 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

  82. 2010

  83. 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, p. 352-357 6 p. 5708856

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

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

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

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

  85. 2009

  86. Cache-oblivious construction of a well-separated pair decomposition

    Gieseke, Fabian Cristian & Vahrenhold, J., 2009, Proceedings of the 25th European Workshop on Computational Geometry. p. 341-344 4 p.

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

  87. Fast evolutionary maximum margin clustering

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

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

  88. 2008

  89. 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. p. 52-66 15 p.

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

  90. 2007

  91. Algorithmen zur Konstruktion und Ausdünnung von Spanner-Graphen im Cache-Oblivious-Modell

    Gieseke, Fabian Cristian, 2007, Universität Dortmund. 163 p. (Algorithm Engineering Report, Vol. TR07-3-005).

    Research output: Book/Report › Report › Research

ID: 91244670