| 2024 | CVPR | Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. | Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick |
| 2020 | ICANN | Interpretable Machine Learning Structure for an Early Prediction of Lane Changes. | Oliver Gallitz, Oliver De Candido, Michael Botsch, Ron Melz, Wolfgang Utschick |
| 2019 | IPIN | High Precision Indoor Navigation for Autonomous Vehicles. | Eduardo Snchez Morales, Michael Botsch, Bertold Huber, Andrs Garca Higuera |
| 2018 | ICANN | Generation of Reference Trajectories for Safe Trajectory Planning. | Amit Chaulwar, Michael Botsch, Wolfgang Utschick |
| 2017 | IJCNN | Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. | Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardia |
| 2016 | ICMLA | A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios. | Amit Chaulwar, Michael Botsch, Wolfgang Utschick |
| 2015 | IJCNN | Maneuver segmentation for autonomous parking based on ensemble learning. | Gennaro Notomista, Michael Botsch |
| 2008 | IJCNN | Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel. | Michael Botsch, Josef A. Nossek |
| 2007 | CIDM | Feature Selection for Change Detection in Multivariate Time-Series. | Michael Botsch, Josef A. Nossek |