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Beyond Test Accuracy: The Effects of Model Compression on CNNs
Machine Learning Methods for Enhanced Reliable Perception of Autonomous Systems
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection?
Measuring Ensemble Diversity and its Effects on Model Robustness
Benchmarking Uncertainty Estimation Methods for Deep Learning with Safety-Related Metrics
Machine Learning in sicherheitskritischen Systemen
Safety Assurance of Machine Learning for Chassis Control Functions
Absicherung von Machine-Learning-Verfahren in sicherheitskritischen Systemen