Thomas H. Schmitt

According to our database, Thomas H. Schmitt authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Learning to Detect Baked Goods with Limited Supervision.

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025

Digital Operating Mode Classification of Real-World Amateur Radio Transmissions.

Maximilian Bundscherer, Thomas H. Schmitt, Ilja Baumann, Tobias Bocklet

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Semmeldetector: Advancing Detection via Data-Driven Copy-Paste Augmentation.

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Proceedings of the 55. Jahrestagung der Gesellschaft für Informatik, 2025

2024

Machine Learning in Industrial Quality Control of Glass Bottle Prints.

Maximilian Bundscherer, Thomas H. Schmitt, Tobias Bocklet

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Images.

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

Segmenting Wood Rot using Computer Vision Models.

Roland Kammerbauer, Thomas H. Schmitt, Tobias Bocklet

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

Machine Learning in Glass Bottle Printing Quality Control: A Collaboration with a Medium-Sized Industrial Partner.

Maximilian Bundscherer, Thomas H. Schmitt, Tobias Bocklet

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

2023

Semmeldetector: Application of Machine Learning in Commercial Bakeries.

Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Machine learning based optimization of a ceramic bushing manufacturing process.

Thomas H. Schmitt, Maximilian Bundscherer, Ralf Drechsel, Tobias Bocklet

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders.

Maximilian Bundscherer, Thomas H. Schmitt, Sebastian P. Bayerl, Thomas Auerbach, Tobias Bocklet

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022