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20202026
most citedHeterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference

11 citations · 49 across the 33 of their papers we have counts for

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cs.AI2020

Influence-Driven Explanations for Bayesian Network Classifiers

Antonio Rago, Emanuele Albini, Pietro Baroni +1

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. We focus on explanations for discrete Bayesian…

cs.AI2020

Deep Argumentative Explanations

Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago +1

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). We…