most citedTowards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

3 citations · 4 across the 2 of their papers we have counts for

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cs.SE2022★ 1 cited

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…