Stefan Oehmcke

Stefan Oehmcke

Adjunkt

Medlem af:

    ORCID: 0000-0002-0240-1559

    Udgivelsesår:
    Alle
    21 - 30 ud af 38Pr. side: 10
    Sortering: 1. forfatter

    1. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    2. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    3. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    4. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    5. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    6. Udgivet

      Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale

      Li, Sizhuo, Brandt, Martin Stefan, Fensholt, Rasmus, Kariryaa, Ankit, Igel, Christian, Gieseke, Fabian Cristian, Nord-Larsen, Thomas, Oehmcke, Stefan, Carlsen, Ask Holm, Junttila, S., Tong, Xiaoye, d’Aspremont, A. & Ciais, P., 2023, I: PNAS Nexus. 2, 4, 16 s., pgad076.

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    7. Udgivet

      Satellite-based continental-scale inventory of European wetland types at 10m spatial resolution

      Kovács, Gyula Mate, Oehmcke, Stefan, Horion, Stéphanie, Gominski, Dimitri Pierre Johannes, Tong, Xiaoye & Fensholt, Rasmus, 2023. 1 s.

      Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

    8. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    9. Udgivet

      Remember to Correct the Bias When Using Deep Learning for Regression!

      Igel, Christian & Oehmcke, Stefan, 2023, I: KI - Kunstliche Intelligenz. 37, 1, s. 33-40

      Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

    10. Udgivet

      Ensemble Learning for Semantic Segmentation of Ancient Maya Architectures

      Hellweg, Thorben, Oehmcke, Stefan, Kariryaa, Ankit, Gieseke, Fabian Cristian & Igel, Christian, 2022, Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & the Discovery Challenge Workshop, ECML PKDD 2021. Kocev, D., Simidjievski, N., Kostovska, A., Dimitrovski, I. & Kokalj, Ž. (red.). Ljubljana: Jožef Stefan Institute , s. 13-19 7 s.

      Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

    Forrige 1 2 3 4 Næste

    ID: 209373892