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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 ...
Model Explanation via Support Graphs
(Cambridge Univeristy Press, 2024-02)
[Absctract]: In this note, we introduce the notion of support graph to define explanations for any model of a logic program. An explanation is an acyclic support graph that, for each true atom in the model, induces a proof ...
Variable selection in the prediction of business failure using genetic programming
(Elsevier B.V., 2024-04-08)
This study focuses on dimensionality reduction by variable selection in business failure prediction models. A new method of dimensionality reduction by variable selection using Genetic Programming is proposed, which takes ...
Syntactic ASP forgetting with forks
(Elsevier, 2024-01)
[Abstract]: Answer Set Programming (ASP) constitutes nowadays one of the most successful paradigms for practical Knowledge Representation and declarative problem solving. The formal analysis of ASP programs is essential ...