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Found 4 papers, 0 papers with code
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
In this context, we introduce Quantified Uncertainty Counterfactual Explanations (QUCE), a method designed to mitigate out-of-distribution traversal by minimizing path uncertainty.
On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study
Feature attribution XAI algorithms enable their users to gain insight into the underlying patterns of large datasets through their feature importance calculation.
Explainable Artificial Intelligence (XAI)
Feature Importance
Towards a Shapley Value Graph Framework for Medical peer-influence
In other words, although contribution towards a certain prediction is highlighted by feature attribution methods, the relation between features and the consequence of intervention is not studied.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+1
Adaptive Neighbourhoods for the Discovery of Adversarial Examples
Deep Neural Networks (DNNs) have often supplied state-of-the-art results in pattern recognition tasks.
