Stefan Oehmcke
Assistant Professor
ORCID: 0000-0002-0240-1559
1 - 2 out of 2Page size: 10
- 2015
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
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
ID: 209373892
Most downloads
-
98
downloads
Creating cloud-free satellite imagery from image time series with deep learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
37
downloads
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Research output: Contribution to journal › Journal article › peer-review
Published -
16
downloads
Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Research output: Contribution to journal › Journal article › peer-review
Published