Stefan Oehmcke

Stefan Oehmcke

Assistant Professor


  1. 2019
  2. Published

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

    Oehmcke, Stefan, Thrysøe, C., Borgstad, A., Vaz Salles, M. A., 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, p. 2403-2412 9006251,

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    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., p. 823-830 8 p. 8790182

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. 2018
  6. 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. (eds.). Springer Verlag, p. 123-133 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11139 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. 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. (eds.). Springer Verlag, p. 258-269 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11117 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. 2017
  9. 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., p. 2555-2561 7 p. 7966167

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. 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., p. 4459-4466 8 p. 7966421

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  11. 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. (eds.). Springer Verlag, p. 715-724 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10199 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. 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. (eds.). Springer Verlag, p. 556-563 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10638 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  13. 2016
  14. kNN ensembles with penalized DTW for multivariate time series imputation

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

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

ID: 209373892