GI-IRlab-Artigos: Envíos recentes

Mostrando ítems 6-10 de 24

    • Equilibrium graphs 

      Cabalar, Pedro; Pérez Ramil, Carlos; Pérez, Gilberto (Springer, 2019)
      [Abstract]: In this paper we present an extension of Peirce’s existential graphs to provide a diagrammatic representation of expressions in Quantified Equilibrium Logic (QEL). Using this formalisation, logical connectives ...

    • Machine learning predicts 3D printing performance of over 900 drug delivery systems 

      Muñiz, Brais; Elbadawi, Moe; Ong, Jun Jie; Pollard, Thomas; Song, Zhe; Gaisford, Simon; Pérez, Gilberto; Basit, Abdul W; Cabalar, Pedro; Goyanes, Álvaro (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 ...

    • Forgetting Auxiliary Atoms in Forks 

      Aguado, Felicidad; Cabalar, Pedro; Fandiño, Jorge; Pearce, David; Pérez, Gilberto; Vidal, Concepción (Elsevier Ltd, 2019)
      [Abstract]: In this work we tackle the problem of checking strong equivalence of logic programs that may contain local auxiliary atoms, to be removed from their stable models and to be forbidden in any external context. ...

    • On the semantics of hybrid ASP systems based on Clingo 

      Cabalar, Pedro; Fandinno, Jorge; Schaub, Torsten; Wanko, Philipp (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 ...

    • Predicting pharmaceutical inkjet printing outcomes using machine learning 

      Carou-Senra, Paola; Ong, Jun Jie; Muñiz, Brais; Seoane-Viaño, Iria; Rodríguez-Pombo, Lucía; Cabalar, Pedro; Álvarez-Lorenzo, Carmen; Basit, Abdul W; Pérez, Gilberto; Goyanes, Álvaro (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 ...