Impact of machine learning on safety monitors

F Terrosi, L Strigini, A Bondavalli - … Safety, Reliability, and Security, 2022 - Springer
… We left the simulation of these more complex effects to future research; the focus of this study
was to demonstrate subtle problems in safety arguments even with a safety monitor whose …

Unifying evaluation of machine learning safety monitors

J Guerin, RS Ferreira, K Delmas… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
… Experimental results on these examples show how different evaluation choices impact
the perceived performance of a monitor. As our formalism requires us to formulate explicit …

[PDF][PDF] Leading safety indicators: Application of machine learning for safety performance measurement

P Jafari, E Mohamed, E Pereira, S Kang… - … . Proceedings of the …, 2019 - researchgate.net
… the greatest impact on safety … by safety practitioners to (1) improve safety practices or (2)
guide the allocation of resources towards monitoring indicators with the most influence on safety

Benchmarking safety monitors for image classifiers with machine learning

RS Ferreira, J Arlat, J Guiochet… - 2021 IEEE 26th Pacific …, 2021 - ieeexplore.ieee.org
… as data-based monitors compared to safety monitors based on rules (or safety properties).
Similar … Next, we evaluate how much the SM impacts the SUT when it works along with the ML …

Learning Run-time Safety Monitors for Machine Learning Components

O Vardal, R Hawkins, C Paterson, C Picardi… - arXiv preprint arXiv …, 2024 - arxiv.org
… of features can we determine the impact on safety. We address this challenge by training
an ML safety monitor with degraded data to reflect the potential impact of real-world factors. …

Safety monitoring for machine learning in critical applications

BS Carvalho - 2023 - estudogeral.uc.pt
… of our five monitor. Lastly we will analyse what was the impact of the monitors on the model,
… of the models with the introduction of the monitors. If this approach proves to be successful …

Application of machine learning to the monitoring and prediction of food safety: A review

X Wang, Y Bouzembrak, AO Lansink… - … and Food Safety, 2022 - Wiley Online Library
… Only published peer-reviewed primary research articles from journals with an ISI impact
factor were included in our review in order to reflect the scientific trend of ML applications for the …

[PDF][PDF] Machine learning for assessing real-time safety conditions of scaffolds

C Cho, JW Park, K Kim… - ISARC. Proceedings of the …, 2018 - researchgate.net
… Researchers have also automated safety monitoring by integrating site information for
various construction activities into the construction schedule [3132]. As far as scaffolding …

Safety of machine learning systems in autonomous driving

F Al-Khoury - 2017 - diva-portal.org
deep learning system in a speed control application, how could we design a simple safety
monitoring … In effect, not all possible system executions are exhaustively checked, but only …

Construction safety surveillance using machine learning

R Kamal, AJ Chemmanam, BA Jose… - 2020 International …, 2020 - ieeexplore.ieee.org
… the safety of workers of KITCO Ltd, a video surveillance system was required to be deployed
in their construction sites for monitoring the … This change has made a deep impact on video …