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Found 3 papers, 3 papers with code
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology
Data analysis that uses the output of topological data analysis as input for machine learning algorithms has been the subject of extensive research.
Model free variable importance for high dimensional data
Here we present some model-free methods that do not require access to the prediction function.
Deletion and Insertion Tests in Regression Models
We find an expression for the expected value of the AUC under a random ordering of inputs to $f$ and propose an alternative area above a straight line for the regression setting.
Additive models
Explainable Artificial Intelligence (XAI)
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