Syntactical rule based approaches for aspect extraction, which are free from expensive
manual annotation, are promising in practice. These approaches extract aspects mainly …

Question Answering (QA) systems attempt to find direct answers to user questions posed in
natural language. This work presents a QA system for the closed domain of Cultural …

In this work we create a bridge between Convolutional Neural Networks and Answer Set
Programming in order to tackle the known Picasso Problem in the automated detection of …

Abstract Quantum Process Units (QPUs) are becoming more widely accessible to the public.
Nonetheless, they still are very susceptible to noise and feature only a small amount of …

A process is a collection of steps, carried out using data, by either human or automated
agents, to achieve a specific goal. The agents in our process are insiders, they have access …

Abstract Constraint Logic Programming (CLP) is one of the most successful branches of
Logic Programming; it attracts the interest of theoreticians and practitioners, and it is …

Many robotic planning applications involve continuous actions with highly non-linear
constraints, which cannot be modeled using modern planners that construct a propositional …

Artificial Intelligence plays a main role in supporting and improving smart manufacturing and
Industry 4.0, by enabling the automation of different types of tasks manually performed by …

The prevailing approaches in Network Intrusion Detection Systems (NIDS) are often
hampered by issues such as high resource consumption, significant computational …

Proporcionar procesos y herramientas sistemáticos para tomar una decisión sobre
inversiones en seguridad en un escenario con restricciones presupuestarias, es de suma …