XAI for CPS - Data and Trained Models
Abstract
This artefact includes power traces compartmentalised into phase-specific cut files. The files are
organised per experimentation scenario. They are intended to be used as the input for a data
processing and Machine Learning (ML) pipeline that eventually generates SHAP scores for an XAI
study. Alongside the data, three trained ML models are included, which play a role in the SHAP score
calculation pipeline. These artefacts are utilised within the publication "Explainable AI to Improve
Machine Learning Reliability for Industrial Cyber-Physical Systems".
Refer to the provided README file for further details.
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Artefacts shared as PDF are licenced under
CC BY 4.0.