Fabian Cristian Gieseke
Associate Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2024
- 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
- 2023
- 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
- 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. 2845–2857Research output: Contribution to journal › Conference article › Research › peer-review
- 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, , 2023, In: Nature Communications. 14, 10 p., 2258.Research output: Contribution to journal › Journal article › Research › peer-review
- 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, , 2023, In: Nature climate change. 13, p. 91-97Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 2022
- 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
- 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
- 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
- 2021
- 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. 3559-3568Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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
- 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
- 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
- 2020
- 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. 3Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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, , 2020, In: Nature. 587, p. 78–82Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 5172-5181Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 9413020Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 9101616Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2019
- 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
- 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
- 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
- 2018
- 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. 220-233Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 5Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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. 1445-1454Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2017
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
- 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
- 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
- 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
- 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
- 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
- 2016
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
- 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
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
- 2015
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
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
- 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
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
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., 2015Research output: Non-textual form › Computer programme › Research
- 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
- 2014
- 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
- 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
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
- 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
- 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
- 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
- 2013
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
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
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
- 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
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Big universe, big data: machine learning and image analysis for astronomy
Research output: Contribution to journal › Journal article › Research › peer-review
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Creating cloud-free satellite imagery from image time series with deep learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published