17 citations · 33 across the 7 of their papers we have counts for
3 papers · 1 filter
Autoencoder Attractors for Uncertainty Estimation
Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter +1
The reliability assessment of a machine learning model's prediction is an important quantity for the deployment in safety critical applications. Not only can it be used to detect n…
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems
Hazem Fahmy, Fabrizio Pastore, Lionel Briand +1
When Deep Neural Networks (DNNs) are used in safety-critical systems, engineers should determine the safety risks associated with failures (i.e., erroneous outputs) observed during…
Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes
Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter +1
Learning on synthetic data and transferring the resulting properties to their real counterparts is an important challenge for reducing costs and increasing safety in machine learni…