A Systematic Analysis of the Gap Between Academia and Industry Perspectives on Machine Learning Applications in Safety-Critical Systems

IF 2.1 2区工程技术 Q2 EDUCATION, SCIENTIFIC DISCIPLINES

IEEE Transactions on Education Pub Date : 2024-06-12 DOI:10.1109/te.2024.3403792

Anwesa Das, Vinay Kumar, Aditya Narayan Hati, Sharda Bharti

引用次数: 0

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系统分析机器学习在安全关键型系统中应用的学术界与业界观点之间的差距

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Education 工程技术-工程：电子与电气

CiteScore

5.80

自引率

7.70%

发文量

审稿时长

1 months

期刊介绍： The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.