Buscar
Mostrando ítems 1-10 de 15
Minish HAT: A Tool for the Minimization of Here-and-There Logic Programs and Theories in Answer Set Programming
(M D P I AG, 2019-07-31)
[Abstract] When it comes to the writing of a new logic program or theory, it is of great importance to obtain a concise and minimal representation, for simplicity and ease of interpretation reasons. There are already a few ...
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 ...
Revisiting Explicit Negation in Answer Set Programming
(Cambridge University Press, 2019-09)
[Abstract] A common feature in Answer Set Programming is the use of a second negation, stronger than default negation and sometimes called explicit, strong or classical negation. This explicit negation is normally used in ...
A System for Explainable Answer Set Programming
(Open Publishing Association, 2020-09-19)
[Abstract]
We present xclingo, a tool for generating explanations from ASP programs annotated with text and labels. These annotations allow tracing the application of rules or the atoms derived by them. The input of ...
aspBEEF: Explaining Predictions Through Optimal Clustering
(MDPI AG, 2020-08-28)
[Abstract]
In this paper we introduce aspBEEF, a tool for generating explanations for the outcome of an arbitrary machine learning classifier. This is done using Grover’s et al. framework known as Balanced English ...
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 ...
A Polynomial Reduction of Forks Into Logic Programs
(Elsevier, 2022)
[Abstract] In this research note we present additional results for an earlier published paper [1]. There, we studied the problem of projective strong equivalence (PSE) of logic programs, that is, checking whether two logic ...
Accelerating 3D printing of pharmaceutical products using machine learning
(Elsevier, 2022)
[Abstract] Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy ...
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 ...
Machine learning predicts 3D printing performance of over 900 drug delivery systems
(Elsevier B.V., 2021-09)
[Abstract]: Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy ...