Breitenstein, J., Heidecker, F., Lyssenko, M., Bogdoll, D., Bieshaar, M., Zöllner, J. M., Sick, B. & Fingscheidt, T.
(2023).
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 (p./pp. 3991--4000),
.
Huang, Z., He, Y. & Sick, B.
(2023).
Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction.
Computational Science and Computational Intelligence (CSCI),
: IEEE.
Lachi, V., Moallemy-Oureh, A., Roth, A. & Welke, P.
(2023).
Graph Pooling Provably Improves Expressivity.
Workshop on New Frontiers in Graph Learning, NeurIPS,
.
Schreck, S., Reichert, H., Hetzel, M., Doll, K. & Sick, B.
(2023).
Height Change Feature Based Free Space Detection.
International Conference on Control, Mechatronics and Automation (ICCMA) (p./pp. 171--176),
: IEEE.
Tomforde, S. & Krupitzer, C. (eds.)
(2022).
Organic Computing -- Doctoral Dissertation Colloquium 2021 (Vol. 20).
kassel university press.