Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
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Updated
Jan 10, 2024 - Python
Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
Open and extensible benchmark for XAI methods
ConsisXAI is an implementation of a technique to evaluate global machine learning explainability (XAI) methods based on feature subset consistency
This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"
Research on AutoML and Explainability.
Code for evaluating saliency maps with classification metrics.
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