• ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation 

  Tejedor, Javier; Toledano, Doroteo T.; López-Otero, Paula; Docío-Fernández, Laura; Proença, Jorge; Perdigão, Fernando; García-Granada, Fernando; Sanchis, Emilio; Pompili, Anna; Abad, Alberto (SpringerOpen & European Association for Signal Processing, 2018)

  [Abstract]: Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems ...

• Metric dynamic equilibrium logic 

  Becker, Arvid; Cabalar, Pedro; Diéguez Lodeiro, Martín; Farinas del Cerro, Luis; Schaub, Torsten; Schuhmann, Anna (Taylor and Francis Ltd., 2023)

  [Abstract]: In temporal extensions of Answer Set Programming (ASP) based on linear-time, the behaviour of dynamic systems is captured by sequences of states. While this representation reflects their relative order, it ...

• Protein structure prediction with energy minimization and deep learning approaches 

  Filgueiras Rilo, Juan Luis; Varela, Daniel; Santos Reyes, José (Springer Science and Business Media B.V., 2023-12)

  [Abstract]: In this paper we discuss the advantages and problems of two alternatives for ab initio protein structure prediction. On one hand, recent approaches based on deep learning, which have significantly improved ...

• Syntactic ASP forgetting with forks 

  Aguado, Felicidad; Cabalar, Pedro; Fandiño, Jorge; Pearce, David; Pérez, Gilberto; Vidal, Concepción (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 ...

• Variable selection in the prediction of business failure using genetic programming 

  Beade, José; Rodríguez Seijo, José Manuel; Santos Reyes, José (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 ...

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