activity
20192025
most citedA System for Explainable Answer Set Programming

23 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Comparing Non-minimal Semantics for Disjunction in Answer Set Programming

Felicidad Aguado, Pedro Cabalar, Brais Muñiz +2

In this paper, we compare four different semantics for disjunction in Answer Set Programming that, unlike stable models, do not adhere to the principle of model minimality. Two of…

cs.LO2023★ 2 cited

Model Explanation via Support Graphs

Pedro Cabalar, Brais Muñiz

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…

cs.AI2021

Explainable Machine Larning for liver transplantation

Pedro Cabalar, Brais Muñiz, Gilberto Pérez +1

In this work, we present a flexible method for explaining, in human readable terms, the predictions made by decision trees used as decision support in liver transplantation. The de…

cs.AI2020★ 23 cited

A System for Explainable Answer Set Programming

Pedro Cabalar, Jorge Fandinno, Brais Muñiz

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 deriv…

cs.LO2019★ 1 cited

A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation

Felicidad Aguado, Pedro Cabalar, Jorge Fandinno +3

In this paper we present web-liver, a rule-based system for decision support in the medical domain, focusing on its application in a liver transplantation unit for implementing pol…