Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning
- DOI
- 10.1017/s089006042100010x
- Published
- 2021-05
- Container
- Artificial Intelligence for Engineering Design, Analysis and Manufacturing
- Publisher
- Cambridge University Press (CUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1017/s089006042100010x,
title = {Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning},
author = {Dimitrios Boursinos and Xenofon Koutsoukos},
year = {2021},
journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing},
doi = {10.1017/s089006042100010x},
url = {https://doi.org/10.1017/s089006042100010x}
}RIS
TY - JOUR TI - Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning AU - Dimitrios Boursinos AU - Xenofon Koutsoukos PY - 2021 JO - Artificial Intelligence for Engineering Design, Analysis and Manufacturing DO - 10.1017/s089006042100010x UR - https://doi.org/10.1017/s089006042100010x ER -
APA
Boursinos, D., & Koutsoukos, X. (2021). Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. https://doi.org/10.1017/s089006042100010x
Source records
- crossref · retrieved 2026-11-10T15:53:42.163Z