Stefan Oehmcke

Stefan Oehmcke

Assistant Professor

Member of:

    ORCID: 0000-0002-0240-1559

    Publication year:
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    1 - 10 out of 38Page size: 10
    1. 2015

    2. 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. (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

    3. 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. (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

    4. 2016

    5. 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 proceeding › Article in proceedings › Research › peer-review

    6. 2017

    7. 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 proceeding › Article in proceedings › Research › peer-review

    8. 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 proceeding › Article in proceedings › Research › peer-review

    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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

    11. 2018

    12. 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 proceeding › Article in proceedings › Research › peer-review

    13. 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 proceeding › Article in proceedings › Research › peer-review

    14. Input quality aware convolutional LSTM networks for virtual marine sensors

      Oehmcke, Stefan, 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

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