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Stefan Oehmcke
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Attentional feature fusion
Y Dai, F Gieseke, S Oehmcke, Y Wu, K Barnard
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
772021
Input quality aware convolutional LSTM networks for virtual marine sensors
S Oehmcke, O Zielinski, O Kramer
Neurocomputing 275, 2603-2615, 2018
432018
kNN ensembles with penalized DTW for multivariate time series imputation
S Oehmcke, O Zielinski, O Kramer
2016 International Joint Conference on Neural Networks (IJCNN), 2774-2781, 2016
342016
Event detection in marine time series data
S Oehmcke, O Zielinski, O Kramer
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015
162015
Detecting hardly visible roads in low-resolution satellite time series data
S Oehmcke, C Thrysøe, A Borgstad, MAV Salles, M Brandt, F Gieseke
2019 IEEE International Conference on Big Data (Big Data), 2403-2412, 2019
132019
Storyteller: in-situ reflection on study experiences
B Poppinga, S Oehmcke, W Heuten, S Boll
Proceedings of the 15th international conference on Human-computer …, 2013
102013
Spatio-temporal wind power prediction using recurrent neural networks
WL Woon, S Oehmcke, O Kramer
International Conference on Neural Information Processing, 556-563, 2017
72017
Recurrent neural networks and exponential PAA for virtual marine sensors
S Oehmcke, O Zielinski, O Kramer
2017 International Joint Conference on Neural Networks (IJCNN), 4459-4466, 2017
72017
Analysis of diversity methods for evolutionary multi-objective ensemble classifiers
S Oehmcke, J Heinermann, O Kramer
European Conference on the Applications of Evolutionary Computation, 567-578, 2015
62015
Knowledge sharing for population based neural network training
S Oehmcke, O Kramer
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018
52018
Evolution of stacked autoencoders
T Silhan, S Oehmcke, O Kramer
2019 IEEE Congress on Evolutionary Computation (CEC), 823-830, 2019
42019
Manifold learning with iterative dimensionality photo-projection
D Lückehe, S Oehmcke, O Kramer
2017 International Joint Conference on Neural Networks (IJCNN), 2555-2561, 2017
42017
Attention as activation
Y Dai, S Oehmcke, F Gieseke, Y Wu, K Barnard
2020 25th International Conference on Pattern Recognition (ICPR), 9156-9163, 2021
32021
Creating cloud-free satellite imagery from image time series with deep learning
S Oehmcke, THK Chen, AV Prishchepov, F Gieseke
Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics …, 2020
32020
Magnitude and uncertainty pruning criterion for neural networks
V Ko, S Oehmcke, F Gieseke
2019 IEEE International Conference on Big Data (Big Data), 2317-2326, 2019
32019
Direct training of dynamic observation noise with UMarineNet
S Oehmcke, O Zielinski, O Kramer
International Conference on Artificial Neural Networks, 123-133, 2018
22018
Preferences-based choice prediction in evolutionary multi-objective optimization
M Aggarwal, J Heinermann, S Oehmcke, O Kramer
European Conference on the Applications of Evolutionary Computation, 715-724, 2017
22017
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass
S Oehmcke, L Li, J Revenga, T Nord-Larsen, K Trepekli, F Gieseke, C Igel
arXiv preprint arXiv:2112.11335, 2021
12021
Prediction of above ground biomass and C-stocks based on UAV-LiDAR, multispectral imagery and machine learning methods.
JC Revenga, K Trepekli, S Oehmcke, F Gieseke, C Igel, R Jensen, ...
EGU21, 2021
12021
Remember to correct the bias when using deep learning for regression!
C Igel, S Oehmcke
arXiv preprint arXiv:2203.16470, 2022
2022
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Articles 1–20