Envíos recientes

  • Explainable depression symptom detection in social media 

    Bao Souto, Eliseo; Pérez, Anxo; Parapar, Javier (Springer, 2024-09)
    [Abstract]: Users of social platforms often perceive these sites as supportive spaces to post about their mental health issues. Those conversations contain important traces about individuals’ health risks. Recently, ...
  • Business failure prediction models with high and stable predictive power over time using genetic programming 

    Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2024)
    [Abstract]: This study focuses on the deterioration of the predictive power and the analysis of the predictive stability of business failure prediction models, an aspect not sufficiently analysed in previous research. ...
  • 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 ...

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