most citedSafely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.SE2018★ 2 cited

Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry

Markus Borg, Cristofer Englund, Krzysztof Wnuk +7

Deep Neural Networks (DNN) will emerge as a cornerstone in automotive software engineering. However, developing systems with DNNs introduces novel challenges for safety assessments…