activity
20192023
most citedA Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models

4 citations · 7 across the 4 of their papers we have counts for

collaborators
Showing 2023 · cs.SEShow all

1 paper · 2 filters

cs.SE2023

Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning

Lisa Jöckel, Michael Kläs, Janek Groß +8

Assurance Cases (ACs) are an established approach in safety engineering to argue quality claims in a structured way. In the context of quality assurance for Machine Learning (ML)-b…