No photo of Stefan Oehmcke

Stefan Oehmcke

 https://orcid.org/0000-0002-0240-1559
20152019

Research activity per year

  • 11 Article in proceedings
  • 1 Journal article

Search results

  • 2019

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

    Oehmcke, S., Thrysøe, C., Borgstad, A., Vaz Salles, M. A., Brandt, M. S. & Gieseke, F. C., Dec 2019, Proceedings of the IEEE International Conference on Big Data, Big Data 2019: Special Session on Intelligent Data Mining. 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  • Evolution of Stacked Autoencoders

    Silhan, T., Oehmcke, S. & Kramer, O., Jun 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 proceeding › Article in proceedings › Research › peer-review

    2 Citations (Scopus)
  • 2018

    Direct training of dynamic observation noise with UMarineNet

    Oehmcke, S., 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 proceeding › Article in proceedings › Research › peer-review

    1 Citation (Scopus)

  • Input quality aware convolutional LSTM networks for virtual marine sensors

    Oehmcke, S., Zielinski, O. & Kramer, O., 31 Jan 2018, In: Neurocomputing. 275, p. 2603-2615 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

    23 Citations (Scopus)

  • Knowledge sharing for population based neural network training

    Oehmcke, S. & 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 proceeding › Article in proceedings › Research › peer-review

    1 Citation (Scopus)
  • 2017

    Manifold learning with iterative dimensionality photo-projection

    Luckehe, D., Oehmcke, S. & 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. (Proceedings of the International Joint Conference on Neural Networks, Vol. 2017-May).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    2 Citations (Scopus)

  • Preferences-based choice prediction in evolutionary multi-objective optimization

    Aggarwal, M., Heinermann, J., Oehmcke, S. & 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 proceeding › Article in proceedings › Research › peer-review

    2 Citations (Scopus)

  • Recurrent neural networks and exponential PAA for virtual marine sensors

    Oehmcke, S., 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. (Proceedings of the International Joint Conference on Neural Networks, Vol. 2017-May).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    4 Citations (Scopus)

  • Spatio-temporal wind power prediction using recurrent neural networks

    Woon, W. L., Oehmcke, S. & 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 proceeding › Article in proceedings › Research › peer-review

    1 Citation (Scopus)
  • 2016

    kNN ensembles with penalized DTW for multivariate time series imputation

    Oehmcke, S., 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. (Proceedings of the International Joint Conference on Neural Networks, Vol. 2016-October).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    16 Citations (Scopus)
  • 2015

    Analysis of diversity methods for evolutionary multi-objective ensemble classifiers

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

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    2 Citations (Scopus)

  • Event detection in marine time series data

    Oehmcke, S., 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. (eds.). Springer Verlag, p. 279-286 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 9324).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    5 Citations (Scopus)