Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design

Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design

Machine Learning (ML) models are increasingly used by domain experts to tackle classification tasks, aiming for high predictive accuracy. However, classifiers are inherently prone to misclassifications, especially when they encounter unfamiliar, previously unseen or out-of-distribution input data. T...

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Bibliographic Details
Main Authors: Burcu Sayin, Tommaso Zoppi, Nicolo Marchini, Fahad Ahmed Khokhar, Andrea Passerini
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Critical infrastructures
cost-sensitive learning
cyber-physical systems
machine learning
prediction rejection
safety
Online Access:https://ieeexplore.ieee.org/document/10994486/
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