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04/26/2022
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems
Machine learning (ML)-enabled approaches are considered a substantial su...
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04/26/2022
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Several areas have been improved with Deep Learning during the past year...
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04/16/2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
Integration of Machine Learning (ML) components in critical applications...
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03/29/2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
Several areas have been improved with Deep Learning during the past year...
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02/16/2020
Controlled time series generation for automotive software-in-the-loop testing using GANs
Testing automotive mechatronic systems partly uses the software-in-the-l...
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03/04/2019
