Stefan Oehmcke
Title
Cited by
Cited by
Year
Input quality aware convolutional LSTM networks for virtual marine sensors
S Oehmcke, O Zielinski, O Kramer
Neurocomputing 275, 2603-2615, 2018
202018
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
192016
Event detection in marine time series data
S Oehmcke, O Zielinski, O Kramer
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015
102015
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
92013
Spatio-temporal wind power prediction using recurrent neural networks
WL Woon, S Oehmcke, O Kramer
International Conference on Neural Information Processing, 556-563, 2017
62017
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
52017
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
52015
Knowledge sharing for population based neural network training
S Oehmcke, O Kramer
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018
32018
Manifold learning with iterative dimensionality photo-projection
D Lückehe, S Oehmcke, O Kramer
2017 International Joint Conference on Neural Networks (IJCNN), 2555-2561, 2017
32017
Evolution of stacked autoencoders
T Silhan, S Oehmcke, O Kramer
2019 IEEE Congress on Evolutionary Computation (CEC), 823-830, 2019
22019
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
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
12019
Plant Structure and Carbon Storage Assessment Utilizing Drone-Borne Lidar and Deep Learning Technologies in a Danish Agricultural Expanse.
K Trepekli, S Oehmcke, FC Gieseke, R Jensen, JC Revenga, T Friborg
AGU Fall Meeting 2020, 2020
2020
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
2020
Attentional Feature Fusion
Y Dai, F Gieseke, S Oehmcke, Y Wu, K Barnard
arXiv preprint arXiv:2009.14082, 2020
2020
Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks
S Oehmcke, T Teusch, T Petersen, T Klüner, O Kramer
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
2020
Attention as Activation
Y Dai, S Oehmcke, Y Wu, K Barnard
arXiv preprint arXiv:2007.07729, 2020
2020
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
2019
End-To-End Input Selection for Deep Neural Networks
S Oehmcke, F Gieseke
2019
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