2023

Breitenstein, J.; Heidecker, F.; Lyssenko, M.; Bogdoll, D.; Bieshaar, M.; Zöllner, J. M.; Sick, B. & Fingscheidt, T.: What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. Workshop on roBustness and Reliability of Autonomous Vehicles in the Open-world (BRAVO), ICCV. 2023, S. 3991-4000
[Volltext] [Kurzfassung]  [BibTeX] 
Huang, Z.; He, Y. & Sick, B.: Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction. Computational Science and Computational Intelligence (CSCI). IEEE, 2023
[Kurzfassung]  [BibTeX] 
Lachi, V.; Moallemy-Oureh, A.; Roth, A. & Welke, P.: Graph Pooling Provably Improves Expressivity. Workshop on New Frontiers in Graph Learning, NeurIPS. 2023
[Volltext] [Kurzfassung]  [BibTeX] 
Schreck, S.; Reichert, H.; Hetzel, M.; Doll, K. & Sick, B.: Height Change Feature Based Free Space Detection. International Conference on Control, Mechatronics and Automation (ICCMA). IEEE, 2023, S. 171-176
[Kurzfassung]  [BibTeX] 

2022

Tomforde, S. & Krupitzer, C. (Hrsg.): Organic Computing - Doctoral Dissertation Colloquium 2021. kassel university press, 2022 (Intelligent Embedded Systems 20)
[BibTeX]