Moritz Laass

E-Mail:	moritz.laass@tum.de
Telefon:	n/a
Raum:	110
Anschrift:	Technische Universität München Moritz Laass Lise-Meitner-Str. 9 85521 Ottobrunn

Publikationen

1. Laass, M., Dax, G., & Werner, M. (2022). A Randomized Data Structure for Point Clouds. Proceedings of the 7th Annual SDSC Conference and 17th 3D GeoInfo Conference.
2. Laass, M. (2021). Point in Polygon Tests Using Hardware Accelerated Ray Tracing. 6th ACM SIGSPATIAL Student Research Competition (SIGSPATIAL ’21). [PDF]
3. Götzer, S., Laass, M., Dax, G., & Werner, M. (2021). ObservaToriUM: A Simple Scalable Earth Observation Processing Engine. Symposium Für Angewandte Geoinformatik (AGIT’2021). [PDF]
4. Laass, M., Kiermeier, M., & Werner, M. (2021). Improving persistence based trajectory simplification. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF]
5. Dax, G., Laass, M., & Werner, M. (2021). Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. International Geoscience and Remote Sensing Symposium (IGARSS’21). [PDF]
6. Werner, M., Dax, G., & Laass, M. (2020). Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research. In R. H. Reussner, A. Koziolek, & R. Heinrich (Eds.), 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September - 2. Oktober 2020: Vol. P-307 (pp. 1009–1017). GI. https://doi.org/10.18420/inf2020_95 [Online]