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Found 5 papers, 1 papers with code
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning
We illustrate the application of the framework on an example excerpt concerned with the quality of the test data.
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning
As the use of Artificial Intelligence (AI) components in cyber-physical systems is becoming more common, the need for reliable system architectures arises.
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception
This poses a challenge with respect to the realization of safety-critical perception tasks by means of DDMs.
Towards a Common Testing Terminology for Software Engineering and Data Science Experts
Analytical quality assurance, especially testing, is an integral part of software-intensive system development.
Directional Message Passing for Molecular Graphs
Each message is associated with a direction in coordinate space.
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