F. Gieseke

Most-cited papers

Attentional Feature Fusion
Yimian Dai, F. Gieseke, Stefan Oehmcke, Yiquan Wu +1 more
2020IEEE Workshop/Winter Conference on Applications of Computer Vision1,035 citations Open access
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An unexpectedly large count of trees in the West African Sahara and Sahel
M. Brandt, C. Tucker, Ankit Kariryaa, K. Rasmussen +20 more
2020Nature404 citations Open access
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More than one quarter of Africa’s tree cover is found outside areas previously classified as forest
Florian Reiner, M. Brandt, X. Tong, D. Skole +20 more
2023Nature Communications129 citations Open access
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Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
Robert N. Masolele, V. de Sy, M. Herold, Diego Marcos +4 more
2021118 citations Open access
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Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda
M. Mugabowindekwe, M. Brandt, J. Chave, Florian Reiner +17 more
2022Nature Climate Change117 citations Open access
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Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
Sizhuo Li, M. Brandt, R. Fensholt, Ankit Kariryaa +9 more
2023PNAS Nexus107 citations Open access
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Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs
F. Gieseke, J. Heinermann, C. Oancea, C. Igel
2014International Conference on Machine Learning100 citations
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Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy
Jan Kremer, Kristoffer Stensbo-Smidt, F. Gieseke, K. S. Pedersen +1 more
2017IEEE Intelligent Systems86 citations Open access
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Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Stefan Oehmcke, Lei Li, Katerina Trepekli, Jaime C. Revenga +3 more
2024Remote Sensing of Environment79 citations Open access
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Short-Term Wind Energy Forecasting Using Support Vector Regression
Oliver Kramer, F. Gieseke
2011Soft Computing Models in Industrial and Environmental Applications72 citations
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Fast and simple gradient-based optimization for semi-supervised support vector machines
F. Gieseke, A. Airola, T. Pahikkala, Oliver Kramer
2014Neurocomputing61 citations
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Deep-learnt classification of light curves
A. Mahabal, K. Sheth, F. Gieseke, A. Pai +4 more
2017IEEE Symposium Series on Computational Intelligence56 citations Open access
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Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data
Eliakim Hamunyela, Sabina Roşca, Andrei Mîrț, Eric Engle +3 more
2020Remote Sensing51 citations Open access
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Deep learning based 3D point cloud regression for estimating forest biomass
Stefan Oehmcke, Leiyuan Li, Jaime C. Revenga, T. Nord-Larsen +3 more
2021SIGSPATIAL/GIS48 citations Open access
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Exploring the spectroscopic diversity of Type Ia supernovae with dracula: a machine learning approach
M. Sasdelli, E. Ishida, R. Vilalta, M. Aguena +7 more
201546 citations Open access
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Wind energy prediction and monitoring with neural computation
Oliver Kramer, F. Gieseke, B. Satzger
2013Neurocomputing41 citations
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Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods
Jaime C. Revenga, Katerina Trepekli, Stefan Oehmcke, R. Jensen +4 more
2022Remote Sensing36 citations Open access
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Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines
F. Gieseke, A. Airola, T. Pahikkala, Oliver Kramer
2012International Conference on Pattern Recognition Applications and Methods32 citations Open access
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A probabilistic approach to emission-line galaxy classification
R. de Souza, M. L. L. Dantas, M. Costa-Duarte, E. Feigelson +6 more
201731 citations Open access
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Convolutional neural networks for transient candidate vetting in large-scale surveys
F. Gieseke, S. Bloemen, Cas van den Bogaard, T. Heskes +8 more
201731 citations Open access
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Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia
Robert N. Masolele, V. de Sy, Diego Marcos, J. Verbesselt +6 more
2022GIScience & Remote Sensing27 citations Open access
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Return of the features
A. Disanto, S. Cavuoti, F. Gieseke, K. Polsterer
2018Astronomy & Astrophysics25 citations Open access
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Finding new high-redshift quasars by asking the neighbours
K. Polsterer, P. Zinn, F. Gieseke
201225 citations Open access
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Artistic Movement Recognition by Boosted Fusion of Color Structure and Topographic Description
Corneliu Florea, Cosmin Toca, F. Gieseke
2017IEEE Workshop/Winter Conference on Applications of Computer Vision24 citations
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Nearest neighbor density ratio estimation for large-scale applications in astronomy
Jan Kremer, F. Gieseke, K. S. Pedersen, C. Igel
2015Astronomy and Computing23 citations Open access
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Fast evolutionary maximum margin clustering
F. Gieseke, T. Pahikkala, Oliver Kramer
2009International Conference on Machine Learning22 citations
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Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values
F. Gieseke, Sabina Roşca, Troels Henriksen, J. Verbesselt +1 more
2020IEEE International Conference on Data Engineering20 citations Open access
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Creating cloud-free satellite imagery from image time series with deep learning
Stefan Oehmcke, T. Chen, A. Prishchepov, F. Gieseke
2020BigSpatial@SIGSPATIAL19 citations Open access
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Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data
Stefan Oehmcke, Christoffer Thrysoe, Andreas Borgstad, Marcos Antonio Vaz Salles +2 more
20192019 IEEE International Conference on Big Data (Big Data)18 citations Open access
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Analysis of wind energy time series with kernel methods and neural networks
Oliver Kramer, F. Gieseke
20112011 Seventh International Conference on Natural Computation18 citations
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Detecting Quasars in Large-Scale Astronomical Surveys
F. Gieseke, K. Polsterer, Andreas Thom, P. Zinn +4 more
20102010 Ninth International Conference on Machine Learning and Applications18 citations Open access
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LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing
Tianfang Zhang, Lei Li, C. Igel, Stefan Oehmcke +2 more
20222022 IEEE 8th International Conference on Computer and Communications (ICCC)17 citations Open access
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An unexpectedly large count of trees in the West African Sahara and Sahel
M. Brandt, C. Tucker, Ankit Kariryaa, K. Rasmussen +20 more
2020Nature17 citations Open access
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Training Big Random Forests with Little Resources
F. Gieseke, C. Igel
2018Knowledge Discovery and Data Mining17 citations Open access
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Resilient k-d trees: k-means in space revisited
F. Gieseke, Gabriel Moruz, J. Vahrenhold
2010Frontiers of Computer Science16 citations
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Artistic movement recognition by consensus of boosted SVM based experts
Corneliu Florea, F. Gieseke
2018Journal of Visual Communication and Image Representation15 citations
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Uncertain Photometric Redshifts
K. Polsterer, A. Disanto, F. Gieseke
201615 citations
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Sacrificing information for the greater good: how to select photometric bands for optimal accuracy
Kristoffer Stensbo-Smidt, F. Gieseke, C. Igel, A. Zirm +1 more
2015Monthly notices of the Royal Astronomical Society15 citations Open access
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Towards Non-linear Constraint Estimation for Expensive Optimization
F. Gieseke, Oliver Kramer
2013EvoApplications15 citations
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Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties - Autotuning in Futhark
Philip Munksgaard, Svend Lund Breddam, Troels Henriksen, F. Gieseke +1 more
2021Symposium on Trends in Functional Programming12 citations Open access
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Attention as Activation
Yimian Dai, Stefan Oehmcke, F. Gieseke, Yiquan Wu +1 more
2020International Conference on Pattern Recognition12 citations Open access
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On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy
J. Heinermann, Oliver Kramer, K. Polsterer, F. Gieseke
2013Deutsche Jahrestagung für Künstliche Intelligenz11 citations
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Unsupervised Multi-class Regularized Least-Squares Classification
T. Pahikkala, A. Airola, F. Gieseke, Oliver Kramer
20122012 IEEE 12th International Conference on Data Mining11 citations
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Automatic Galaxy Classification via Machine Learning Techniques: Parallelized Rotation/Flipping INvariant Kohonen Maps (PINK)
K. Polsterer, F. Gieseke, C. Igel
201510 citations
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BuildSeg: A General Framework for the Segmentation of Buildings
Lei Li, Tianfang Zhang, Stefan Oehmcke, F. Gieseke +1 more
2023Nordic Machine Intelligence9 citations Open access
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Improving the performance of photometric regression models via massive parallel feature selection
K. Polsterer, F. Gieseke, C. Igel, T. Goto
20149 citations
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Approximate Nearest-Neighbour Fields via Massively-Parallel Propagation-Assisted K-D Trees
C. Oancea, Ties Robroek, F. Gieseke
20202020 IEEE International Conference on Big Data (Big Data)8 citations
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Galaxy Classification without Feature Extraction
K. Polsterer, F. Gieseke, Oliver Kramer
20128 citations
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Magnitude and Uncertainty Pruning Criterion for Neural Networks
V. Ko, Stefan Oehmcke, F. Gieseke
20192019 IEEE International Conference on Big Data (Big Data)7 citations Open access
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Learning morphological maps of galaxies with unsupervised regression
Oliver Kramer, F. Gieseke, K. Polsterer
2013Expert systems with applications7 citations
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