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Found 6 papers, 1 papers with code
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values
In this paper, we introduce the problem of feature \emph{reselection}, so that features can be selected with respect to secondary model performance characteristics efficiently even after a feature selection process has been done with respect to a primary objective.
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Explainable Artificial Intelligence (XAI) has received widespread interest in recent years, and two of the most popular types of explanations are feature attributions, and counterfactual explanations.
Counterfactual Shapley Additive Explanations
Feature attributions are a common paradigm for model explanations due to their simplicity in assigning a single numeric score for each input feature to a model.
Argumentative XAI: A Survey
Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years.
Influence-Driven Explanations for Bayesian Network Classifiers
One of the most pressing issues in AI in recent years has been the need to address the lack of explainability of many of its models.
Deep Argumentative Explanations
Despite the recent, widespread focus on eXplainable AI (XAI), explanations computed by XAI methods tend to provide little insight into the functioning of Neural Networks (NNs).
Explainable Artificial Intelligence (XAI)
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