Data-Centric Operational Design Domain Characterization for Machine Learning-Based Aeronautical Products-Reference-Cited by-同舟云学术

Data-Centric Operational Design Domain Characterization for Machine Learning-Based Aeronautical Products

Published:2023 Issue: Volume: Page:227-242
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Kaakai Fateh,Adibhatla Sridhar,Pai Ganesh^ORCID,Escorihuela Emmanuelle

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-40923-3_17

Reference18 articles.

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2. Lecture Notes in Computer Science;M Damour,2021

3. Denney, E., Pai, G., Smith, C.: Hazard contribution modes of machine learning components. In: Espinoza, H., et al. (eds.) Proceedings of the AAAI Workshop on Artificial Intelligence Safety (SafeAI). AAAI, CEUR Workshop Proceedings (2020)

4. EUROCONTROL: COAST (Calibration of Optimised Approach Spacing Tool) with Use of Machine Learning Models. White Paper V1.1, April 2021

5. EASA: First Usable Guidance for Level 1 Machine Learning Applications. EASA Concept Paper Issue 01 (December 2021)

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