Stefan Oehmcke

Stefan Oehmcke

Postdoc


  1. 2020
  2. Udgivet

    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. (red.). Association for Computing Machinery, 10 s. 3

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  3. 2019
  4. Udgivet

    Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data

    Oehmcke, Stefan, Thrysøe, C., Borgstad, A., Vaz Salles, Marcos Antonio, 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, s. 2403-2412 9006251,

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  5. Udgivet

    Evolution of Stacked Autoencoders

    Silhan, T., Oehmcke, Stefan & Kramer, O., 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., s. 823-830 8 s. 8790182

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  6. Udgivet

    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. (red.). IEEE, s. 2317-2326 9005692. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  7. 2018
  8. Input quality aware convolutional LSTM networks for virtual marine sensors

    Oehmcke, Stefan, Zielinski, O. & Kramer, O., 31 jan. 2018, I : Neurocomputing. 275, s. 2603-2615 13 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Direct training of dynamic observation noise with UMarineNet

    Oehmcke, Stefan, Zielinski, O. & Kramer, O., 1 jan. 2018, Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, 2018, Proceedings. Kurkova, V., Hammer, B., Manolopoulos, Y., Iliadis, L. & Maglogiannis, I. (red.). Springer Verlag, s. 123-133 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11139 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  10. Knowledge sharing for population based neural network training

    Oehmcke, Stefan & Kramer, O., 1 jan. 2018, KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, 2018, Proceedings. Turhan, A-Y. & Trollmann, F. (red.). Springer Verlag, s. 258-269 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11117 LNAI).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  11. 2017
  12. Manifold learning with iterative dimensionality photo-projection

    Luckehe, D., Oehmcke, Stefan & Kramer, O., 30 jun. 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., s. 2555-2561 7 s. 7966167

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  13. Recurrent neural networks and exponential PAA for virtual marine sensors

    Oehmcke, Stefan, Zielinski, O. & Kramer, O., 30 jun. 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., s. 4459-4466 8 s. 7966421

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  14. Preferences-based choice prediction in evolutionary multi-objective optimization

    Aggarwal, M., Heinermann, J., Oehmcke, Stefan & Kramer, O., 1 jan. 2017, Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Proceedings. Hidalgo, J. I., Cotta, C., Hu, T., Tonda, A., Burrelli, P., Coler, M., Iacca, G., Kampouridis, M., Mora Garcia, A. M., Squillero, G., Brabazon, A., Haasdijk, E., Heinerman, J., D Andreagiovanni, F., Bacardit, J., Nguyen, T. T., Silva, S., Tarantino, E., Esparcia-Alcazar, A. I., Ascheid, G., Glette, K., Cagnoni, S., Kaufmann, P., de Vega, F. F., Mavrovouniotis, M., Zhang, M., Divina, F., Sim, K., Urquhart, N. & Schaefer, R. (red.). Springer Verlag, s. 715-724 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10199 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  15. Spatio-temporal wind power prediction using recurrent neural networks

    Woon, W. L., Oehmcke, Stefan & Kramer, O., 1 jan. 2017, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Zhao, D., Li, Y., El-Alfy, E-S. M., Liu, D. & Xie, S. (red.). Springer Verlag, s. 556-563 8 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10638 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  16. 2016
  17. kNN ensembles with penalized DTW for multivariate time series imputation

    Oehmcke, Stefan, Zielinski, O. & Kramer, O., 31 okt. 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., s. 2774-2781 8 s. 7727549

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  18. 2015
  19. Udgivet

    Analysis of diversity methods for evolutionary multi-objective ensemble classifiers

    Oehmcke, Stefan, Heinermann, J. & Kramer, O., 1 jan. 2015, Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. Squillero, G. & Mora, A. M. (red.). Springer Verlag, s. 567-578 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 9028).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

  20. Udgivet

    Event detection in marine time series data

    Oehmcke, Stefan, Zielinski, O. & Kramer, O., 1 jan. 2015, KI 2015: Advances in Artificial Intelligence - 38th Annual German Conference on AI, Proceedings. Hölldobler, S., Krötzsch, M., Rudolph, S. & Peñaloza, R. (red.). Springer Verlag, s. 279-286 8 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 9324).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedings

ID: 209373892