17 citations · 33 across the 7 of their papers we have counts for
7 papers
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…
Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification
Steve Dias Da Cruz, Bertram Taetz, Oliver Wasenmüller +2
Common domain shift problem formulations consider the integration of multiple source domains, or the target domain during training. Regarding the generalization of machine learning…
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand +2
Automatically detecting the positions of key-points (e.g., facial key-points or finger key-points) in an image is an essential problem in many applications, such as driver's gaze d…
Illumination Normalization by Partially Impossible Encoder-Decoder Cost Function
Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter +1
Images recorded during the lifetime of computer vision based systems undergo a wide range of illumination and environmental conditions affecting the reliability of previously train…
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise +2
We release SVIRO, a synthetic dataset for sceneries in the passenger compartment of ten different vehicles, in order to analyze machine learning-based approaches for their generali…