The design of interpretable deep learning models working in relational
d...
Explainable AI (XAI) aims to address the human need for safe and reliabl...
Deep learning methods are highly accurate, yet their opaque decision pro...
Knowledge Graph Embeddings (KGE) have become a quite popular class of mo...
Deploying AI-powered systems requires trustworthy models supporting effe...
The large and still increasing popularity of deep learning clashes with ...
Explainable artificial intelligence has rapidly emerged since lawmakers ...
Neuro-symbolic methods integrate neural architectures, knowledge
represe...
Deep learning has been shown to achieve impressive results in several ta...
A main property of support vector machines consists in the fact that onl...
Deep learning has been shown to achieve impressive results in several do...
Deep learning has been shown to achieve impressive results in several do...
In spite of the amazing results obtained by deep learning in many
applic...
Deep learning is very effective at jointly learning feature representati...
In this paper we introduce the convex fragment of Łukasiewicz Logic and
...
In the last few years the systematic adoption of deep learning to visual...
This report provides an introduction to some Machine Learning tools with...