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Predicting pharmaceutical inkjet printing outcomes using machine learning
(Elsevier B.V., 2023)
[Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ...
On the semantics of hybrid ASP systems based on Clingo
(MDPI, 2023-03)
[Abstract]: Over the last decades, the development of Answer Set Programming (ASP) has brought about an expressive modeling language powered by highly performant systems. At the same time, it gets more and more difficult ...
Linear-Time Temporal Answer Set Programming
(Cambridge University Press, 2023)
[Abstract]: In this survey, we present an overview on (Modal) Temporal Logic Programming in view of its application to Knowledge Representation and Declarative Problem Solving. The syntax of this extension of logic programs ...
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
(Elsevier, 2023-12)
[Abstract]: Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear ...