| 2026 | SAC | Learning to Detect Baked Goods with Limited Supervision. | Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet |
| 2025 | GI | Semmeldetector: Advancing Detection via Data-Driven Copy-Paste Augmentation. | Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet |
| 2025 | ICASSP | Digital Operating Mode Classification of Real-World Amateur Radio Transmissions. | Maximilian Bundscherer, Thomas H. Schmitt, Ilja Baumann, Tobias Bocklet |
| 2024 | GI | Machine Learning in Glass Bottle Printing Quality Control: A Collaboration with a Medium-Sized Industrial Partner. | Maximilian Bundscherer, Thomas H. Schmitt, Tobias Bocklet |
| 2024 | GI | Segmenting Wood Rot using Computer Vision Models. | Roland Kammerbauer, Thomas H. Schmitt, Tobias Bocklet |
| 2024 | GI | Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Images. | Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet |
| 2024 | VISIGRAPP | Machine Learning in Industrial Quality Control of Glass Bottle Prints. | Maximilian Bundscherer, Thomas H. Schmitt, Tobias Bocklet |
| 2023 | ICMLA | Semmeldetector: Application of Machine Learning in Commercial Bakeries. | Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet |