David Brunner MSc

Researcher and Data Scientist

Publikationen

2022
Synthetic Data in Automatic Number Plate Recognition

Brunner, D., & Schmid, F. (2022). Synthetic Data in Automatic Number Plate Recognition. Database and Expert Systems Applications - DEXA 2022 Workshops, 112–118.
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound

Dacho, C., Gabauer, D., Brunner, D., & Fischer, L. (2022). 2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Medical Imaging 2022: Image Processing.
2021
Beyond Federated Learning: On Confidentiality-Critical Machine Learning Applications in Industry

Zellinger, W., Wieser, V., Kumar, M., Brunner, D., Shepeleva, N., Gálvez, R., Langer, J., Fischer, L., & Moser, B. (2021). Beyond federated learning: On confidentiality-critical machine learning applications in industry. Procedia Computer Science, 180, 734–743.
2020
AI System Engineering - Key Challenges and Lessons Learned

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M., & Moser, B. (2020). AI System Engineering—Key Challenges and Lessons Learned. Machine Learning and Knowledge Extraction, 3(1), 56–83.
Variational optimization of informational privacy

Kumar, M., Brunner, D., Moser, B. A., & Freudenthaler, B. (2020). Variational Optimization of Informational Privacy. Database and Expert Systems Applications, 32–47.