A. Baier, D. Aspandi, and S. Staab. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, International Joint Conferences on Artificial Intelligence Organization, (August 2023)Main Track.
A. Baier, D. Aspandi Latif, and S. Staab. Software, (2023)Related to: Alexandra Baier, Decky Aspandi and Steffen Staab, "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), 2023.
a. Rosenfelder, H. Ebel, and P. Eberhard. Advances in Service and Industrial Robotics, volume 135 of Mechanisms and Machine Science, page 317-324. Springer, (2023)
A. Baier, and D. Frank. Software, (2023)Related to: Baier, Alexandra, Boukhers, Zeyd, & Staab, Steffen (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. ArXiv, abs/2103.06727. arXiv: abs/2103.06727.
F. Kempter, L. Lantella, N. Stutzig, J. Fehr, and T. Siebert. Software, (2023)Related to: Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg and Siebert, Tobias: Role of Rotated Head Postures on Volunteer Kinematics and Muscle Activity in Braking Scenarios Performed on a Driving Simulator, Annals of Biomedical Engineering , Vol. 51, No. 4 p. 771-782 2023. doi: 10.1007/s10439-022-03087-9.
A. Baier, and S. Staab. Dataset, (2022)Related to: Baier, A., Boukhers, Z., & Staab, S. (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. arXiv: 2103.06727.
M. Köhler, J. Berberich, M. Müller, and F. Allgöwer. Proc. 25th IFAC Int. Symp. Mathematical Theory of Networks and Systems (MTNS), page 365-370. Bayreuth, Germany, (2022)