David Brunner MSc
Publikationen
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2024
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Robustness of One-Class Visual Anomaly Detection Methods
Kromp, F., Brunner, D., Zellinger, J., Valentinitsch, A., Cakiroglu, O., Schachner, C., & Fischer, L.. (2025). Robustness of One-Class Visual Anomaly Detection Methods. In Bernhard Nessler (p. and Vision (AIRoV)). innsbruck university press. https://doi.org/10.15203/99106-150-2-35
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2022
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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.
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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.
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2021
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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.
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2020
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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.
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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.
Zur Publikation