Stefan Oehmcke

Stefan Oehmcke

Postdoc


Publication year:
  1. 2019
  2. Published

    Evolution of Stacked Autoencoders. / Silhan, Tim; Oehmcke, Stefan; Kramer, Oliver.

    2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 823-830 8790182.

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

  3. 2018
  4. Published

    Input quality aware convolutional LSTM networks for virtual marine sensors. / Oehmcke, Stefan; Zielinski, Oliver; Kramer, Oliver.

    In: Neurocomputing, Vol. 275, 31.01.2018, p. 2603-2615.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Direct training of dynamic observation noise with UMarineNet. / Oehmcke, Stefan; Zielinski, Oliver; Kramer, Oliver.

    Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, 2018, Proceedings. ed. / Vera Kurkova; Barbara Hammer; Yannis Manolopoulos; Lazaros Iliadis; Ilias Maglogiannis. Springer Verlag, 2018. p. 123-133 (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

  6. Published

    Knowledge sharing for population based neural network training. / Oehmcke, Stefan; Kramer, Oliver.

    KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, 2018, Proceedings. ed. / Anni-Yasmin Turhan; Frank Trollmann. Springer Verlag, 2018. p. 258-269 (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

  7. 2017
  8. Published

    Manifold learning with iterative dimensionality photo-projection. / Luckehe, Daniel; Oehmcke, Stefan; Kramer, Oliver.

    2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2555-2561 7966167 (Proceedings of the International Joint Conference on Neural Networks, Vol. 2017-May).

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

  9. Published

    Recurrent neural networks and exponential PAA for virtual marine sensors. / Oehmcke, Stefan; Zielinski, Oliver; Kramer, Oliver.

    2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4459-4466 7966421 (Proceedings of the International Joint Conference on Neural Networks, Vol. 2017-May).

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

  10. Published

    Preferences-based choice prediction in evolutionary multi-objective optimization. / Aggarwal, Manish; Heinermann, Justin; Oehmcke, Stefan; Kramer, Oliver.

    Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Proceedings. ed. / J.Ignacio Hidalgo; Carlos Cotta; Ting Hu; Alberto Tonda; Paolo Burrelli; Matt Coler; Giovanni Iacca; Michael Kampouridis; Antonio M. Mora Garcia; Giovanni Squillero; Anthony Brabazon; Evert Haasdijk; Jacqueline Heinerman; Fabio D Andreagiovanni; Jaume Bacardit; Trung Thanh Nguyen; Sara Silva; Ernesto Tarantino; Anna I. Esparcia-Alcazar; Gerd Ascheid; Kyrre Glette; Stefano Cagnoni; Paul Kaufmann; Francisco Fernandez de Vega; Michalis Mavrovouniotis; Mengjie Zhang; Federico Divina; Kevin Sim; Neil Urquhart; Robert Schaefer. Springer Verlag, 2017. p. 715-724 (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

  11. Published

    Spatio-temporal wind power prediction using recurrent neural networks. / Woon, Wei Lee; Oehmcke, Stefan; Kramer, Oliver.

    Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. ed. / Dongbin Zhao; Yuanqing Li; El-Sayed M. El-Alfy; Derong Liu; Shengli Xie. Springer Verlag, 2017. p. 556-563 (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

  12. 2016
  13. Published

    kNN ensembles with penalized DTW for multivariate time series imputation. / Oehmcke, Stefan; Zielinski, Oliver; Kramer, Oliver.

    2016 International Joint Conference on Neural Networks, IJCNN 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2774-2781 7727549 (Proceedings of the International Joint Conference on Neural Networks, Vol. 2016-October).

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

  14. 2015
  15. Published

    Analysis of diversity methods for evolutionary multi-objective ensemble classifiers. / Oehmcke, Stefan; Heinermann, Justin; Kramer, Oliver.

    Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. ed. / Giovanni Squillero; Antonio M. Mora. Springer Verlag, 2015. p. 567-578 (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 proceedingArticle in proceedingsResearchpeer-review

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