3 accepted papers
One of the key challenges of Explainable Artificial Intelligence (XAI) is providing concise and understandable explanations for classification model predictions. An abductive explanation for a given instance is a minimal set of features that justify the prediction. These minimal explanations are val
Explaining in accurate and intelligible terms the predictions made by classifiers is a key challenge of eXplainable Artificial Intelligence (XAI). To this end, an abductive explanation for the predicted label of some data instance is a subset-minimal collection of features such that the restriction…
Abductive explanations take a central place in eXplainable Artificial Intelligence (XAI) by clarifying with few features the way data instances are classified. However, instances may have exponentially many minimum-size abductive explanations, and this source of complexity holds even for ``intell…