2 citations · 4 across the 3 of their papers we have counts for
3 papers
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
Markus Borg, Jens Henriksson, Kasper Socha +7
Integration of Machine Learning (ML) components in critical applications introduces novel challenges for software certification and verification. New safety standards and technical…
Machine Learning-Assisted Analysis of Small Angle X-ray Scattering
Piotr Tomaszewski, Shun Yu, Markus Borg +1
Small angle X-ray scattering (SAXS) is extensively used in materials science as a way of examining nanostructures. The analysis of experimental SAXS data involves mapping a rather…
Challenges of Adopting SAFe in the Banking Industry -- A Study Two Years after its Introduction
Sara Nilsson Tengstrand, Piotr Tomaszewski, Markus Borg +1
The Scaled Agile Framework (SAFe) is a framework for scaling agile methods in large organizations. We have found several experience reports and white papers describing SAFe adoptio…