| Hybrid physics and deep learning model for interpretable vehicle state prediction A Baier, Z Boukhers, S Staab arXiv preprint arXiv:2103.06727, 2021 | 7 | 2021 |
| ReLiNet: stable and explainable multistep prediction with recurrent linear parameter varying networks A Baier, D Aspandi, S Staab Proceedings of the Thirty-Second International Joint Conference on …, 2023 | | 2023 |
| Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" A Baier, D Aspandi, S Staab https://doi.org/10.18419/darus-3457, 2023 | | 2023 |
| deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning A Baier, D Frank https://doi.org/10.18419/darus-3455, 2023 | | 2023 |
| A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances A Baier, S Staab https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus …, 2022 | | 2022 |
| System Identification of Ship Models using Deep Learning A Baier Institute for Web Science and Technologies, University of Koblenz-Landau, 2019 | | 2019 |
| Enrichment of ontological taxonomies using a neural network approach A Baier Institute for Web Science and Technologies, University of Koblenz-Landau, 2017 | | 2017 |
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DE &Verified email at ipvs.uni-stuttgart.de
