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.