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cs.AI2019
Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural Networks
Roberto Confalonieri, Tillman Weyde, Tarek R. Besold +1
Explainability in Artificial Intelligence has been revived as a topic of active research by the need of conveying safety and trust to users in the `how' and `why' of automated deci…
cs.AI2017
Repairing Ontologies via Axiom Weakening
Nicolas Troquard, Roberto Confalonieri, Pietro Galliani +3
Ontology engineering is a hard and error-prone task, in which small changes may lead to errors, or even produce an inconsistent ontology. As ontologies grow in size, the need for a…