Published in In the proceedings of International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2013
Recommended citation: Benjamin Poppinga, Stefan Oehmcke, Wilko Heuten, Susanne Boll, "Storyteller: in-situ reflection on study experiences." In the proceedings of International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2013.
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Published in In the proceedings of Applications of Evolutionary Computation (EvoStar), 2015
Recommended citation: Stefan Oehmcke, Justin Heinermann, Oliver Kramer, "Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers." In the proceedings of Applications of Evolutionary Computation (EvoStar), 2015.
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Published in In the proceedings of Advances in Artificial Intelligence (KI), 2015
Recommended citation: Stefan Oehmcke, Oliver Zielinski, Oliver Kramer, "Event Detection in Marine Time Series Data." In the proceedings of Advances in Artificial Intelligence (KI), 2015.
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Published in In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2016
Recommended citation: Stefan Oehmcke, Oliver Zielinski, Oliver Kramer, "kNN ensembles with penalized DTW for multivariate time series imputation." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2016.
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Published in Neurocomputing, 2017
Publisher: Elsevier
Recommended citation: Stefan Oehmcke, Oliver Zielinski, Oliver Kramer, "Input Quality Aware Convolutional LSTM Networks for Virtual Marine Sensors." Neurocomputing, 2017.
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Published in In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2017
Recommended citation: Stefan Oehmcke, Oliver Zielinski, Oliver Kramer, "Recurrent Neural Networks and Exponential PAA for Virtual Marine Sensors." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2017.
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Published in In the proceedings of International Conference in Neural Information Processing (ICONIP), 2017
Recommended citation: Wei Woon, Stefan Oehmcke, Oliver Kramer, "Spatio-Temporal Wind Power Prediction using Recurrent Neural Networks." In the proceedings of International Conference in Neural Information Processing (ICONIP), 2017.
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Published in In the proceedings of International Conference on Artificial Neural Networks (ICANN), 2018
Recommended citation: Stefan Oehmcke, Oliver Zielinski, Oliver Kramer, "Direct Training of Dynamic Observation Noise with UMarineNet." In the proceedings of International Conference on Artificial Neural Networks (ICANN), 2018.
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Published in In the proceedings of International Conference on Big Data, 2019
Recommended citation: Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Salles, Martin Brandt, Fabian Gieseke, "Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data." In the proceedings of International Conference on Big Data, 2019.
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Published in In the proceedings of Congress on Evolutionary Computation (CEC), 2019
Recommended citation: Tim Silhan, Stefan Oehmcke, Oliver Kramer, "Evolution of Stacked Autoencoders." In the proceedings of Congress on Evolutionary Computation (CEC), 2019.
Published in In the proceedings of International Conference on Pattern Recognition (ICPR), 2020
Recommended citation: Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard, "Attention as Activation." In the proceedings of International Conference on Pattern Recognition (ICPR), 2020.
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Published in In the proceedings of BIGSPATIAL '20: ACM SIGSPATIAL Analytics for Big Geospatial Data, 2020
Recommended citation: Stefan Oehmcke, Tzu-Hsin Chen, Alexander Prishchepov, Fabian Gieseke, "Creating Cloud-Free Satellite Imagery from Image Time Series with Deep Learning." In the proceedings of BIGSPATIAL '20: ACM SIGSPATIAL Analytics for Big Geospatial Data, 2020.
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Published in In the proceedings of Winter Conference on Applications of Computer Vision (WACV), 2021
Recommended citation: Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard, "Attentional Feature Fusion." In the proceedings of Winter Conference on Applications of Computer Vision (WACV), 2021.
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Published in EPJ Data Science, 2021
Recommended citation: Bent Sortkær, Emil Smith, David Reimer, Stefan Oehmcke, Ida Andersen, "Both sides of the story: comparing student-level data on reading performance from administrative registers to application generated data from a reading app." EPJ Data Science, 2021.
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Published in Remote Sensing, 2022
Publisher: MDPI
Recommended citation: Jaime Revenga, Katerina Trepekli, Stefan Oehmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian Gieseke, Thomas Friborg, "Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods." Remote Sensing, 2022.
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Published in In the proceedings of International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2022
Recommended citation: Stefan Oehmcke, Lei Li, Jaime Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel, "Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass." In the proceedings of International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2022.
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Published in In the proceedings of International Conference on Data Mining (SDM), 2022
Recommended citation: Stefan Oehmcke, Fabian Gieseke, "Input Selection for Bandwidth-Limited Neural Network Inference." In the proceedings of International Conference on Data Mining (SDM), 2022.
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Published in Nature Communications, 2023
Recommended citation: Florian Reiner, Martin Brandt, Xiaoye Tong, David Skole, Ankit Kariryaa, Philippe Ciais, Andrew Davies, Pierre Hiernaux, Jerome Chave, Maurice Mugabowindekwe, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Sizhuo Li, Siyu Liu, Sassan Saatchi, Peter Boucher, Jenia Singh, Simon Taugourdeau, Morgane Dendoncker, Xiao-Peng Song, Ole Mertz, Compton Tucker, Rasmus Fensholt, "More than one quarter of Africa's tree cover found outside areas previously classified as forest." Nature Communications, 2023.
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Published in Künstliche Intelligenz, 2023
Recommended citation: Christian Igel, Stefan Oehmcke, "Remember to Correct the Bias When Using Deep Learning for Regression!." Künstliche Intelligenz, 2023.
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Published in In the proceedings of International Conference on Big Data, 2023
Recommended citation: Dmitry Serykh, Stefan Oehmcke, Cosmin Oancea, Dainius Masiliunas, Jan Verbesselt, Yan Cheng, Stéphanie Horion, Fabian Gieseke, Nikolaj Hinnerskov, "Seasonal-Trend Time Series Decomposition on Graphics Processing Units." In the proceedings of International Conference on Big Data, 2023.
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Published in Remote Sensing of Environment, 2024
Publisher: Elsevier
Recommended citation: Stefan Oehmcke, Lei Li, Katerina Trepekli, Jaime Revenga, Thomas Nord-Larsen, Fabian Gieseke, Christian Igel, "Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR." Remote Sensing of Environment, 2024.
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Published in Remote Sensing of Environment, 2024
Publisher: Elsevier
Recommended citation: Yang Xu, Lian Feng, Hongwei Fang, Xiao-Peng Song, Fabian Gieseke, Ankit Kariryaa, Stefan Oehmcke, Luke Gibson, Xiating Jiang, Ruimin Lin, "Global mapping of human-transformed dike-pond systems." Remote Sensing of Environment, 2024.
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Published in In the proceedings of European Conference on Computer Vision (ECCV), 2024
Recommended citation: Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, Nico Lang, "MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning." In the proceedings of European Conference on Computer Vision (ECCV), 2024.
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Published in Nature Climate Change, 2025
Publisher: Nature Publishing Group UK London
Recommended citation: Paulo Bernardino, Wanda De, Stéphanie Horion, Stefan Oehmcke, Fabian Gieseke, Rasmus Fensholt, Ruben Van, Stef Lhermitte, Christin Abel, Koenraad Van, "Predictability of abrupt shifts in dryland ecosystem functioning." Nature Climate Change, 2025.
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Published in Fire Technology, 2025
Publisher: Springer Science and Business Media LLC
Recommended citation: Naomi Crump, Bo Markussen, Stefan Oehmcke, Christian Igel, Hans Skov-Petersen, Patrik Karlsson, "Modelling Residential Fire Vulnerability of Denmark." Fire Technology, 2025-03.
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