3 citations · 4 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2020★ 3 cited
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Stefan Studer, Thanh Binh Bui, Christian Drescher +4
Machine learning is an established and frequently used technique in industry and academia but a standard process model to improve success and efficiency of machine learning applica…