| 2026 | ACL | Probabilistic Depression Detection from Textual Time Series. | Fabian Schmidt, Seyedehmoniba Ravan, Vladimir Vlassov |
| 2026 | SAC | CIAK-CP: Camera feed Injection AttacK in Collaborative Perception. | Marco Calipari, Fabian Schmidt, Mohammad Hamad, Sebastian Steinhorst |
| 2024 | ICMLA | Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews. | Sofia Krylova, Fabian Schmidt, Vladimir Vlassov |
| 2023 | IROS | Exploiting Spatio-Temporal Human-Object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting. | Dimitrios Lagamtzis, Fabian Schmidt, Jan R. Seyler, Thao Dang, Steffen Schober |
| 2022 | ICAART | CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace. | Dimitrios Lagamtzis, Fabian Schmidt, Jan R. Seyler, Thao Dang |
| 2015 | ECSQARU | Handling Revision Inconsistencies: Towards Better Explanations. | Fabian Schmidt, Jrg Gebhardt, Rudolf Kruse |
| 2013 | FDG | Valory: Simultaneous control of avatar and environment in a platform game. | Rene Ksuz, Magdalena Soukup, Gerald Hauzenberger, Thomas Peintner, Fabian Schmidt |
| 2013 | HAIS | Handling Inconsistencies in the Revision of Probability Distributions. | Fabian Schmidt, Jan Wendler, Jrg Gebhardt, Rudolf Kruse |