Recent Submissions

  • A model for verification and validation of law compliance of smart contracts in IoT environment 

    Amato, Flora; Cozzolino, Giovanni; Moscato, Francesco; Moscato, Vincenzo; Xhafa Xhafa, Fatos (2021-11)
    Article
    Open Access
    The interest of Industry 4.0 in smart contracts and blockchain technologies is growing up day by day. Smart contracts have enabled new kinds of interactions whereby contractors can even fully automate processes they agree ...
  • Predicciones financieras basadas en análisis de sentimiento de textos y minería de opiniones 

    Arratia Quesada, Argimiro Alejandro (FUNCAS, 2021-04-01)
    Part of book or chapter of book
    Restricted access - publisher's policy
    En este capítulo se describe la mecánica básica para construir un modelo de predicción que utiliza indicadores de sentimiento derivados de datos textuales. Enfocamos nuestro objetivo de predicciones en series de ...
  • Programación de dispositivos móviles: una propuesta docente adaptada a un entorno híbrido 

    Pérez Poch, Antoni (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
    Conference lecture
    Open Access
    Se presenta una experiencia docente destinada a la enseñanza de Programación de Dispositivos Móviles en un entorno universitario de Grados de Ingeniería distintos al de Informática en el curso 2020/21. Se ha realizado el ...
  • A quaternion deterministic monogenic CNN layer for contrast invariance 

    Moya Sánchez, Eduardo Ulises; Xambó Descamps, Sebastián; Salazar Colores, Sebastián; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Springer, 2021)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Deep learning (DL) is attracting considerable interest as it currently achieves remarkable performance in many branches of science and technology. However, current DL cannot guarantee capabilities of the mammalian visual ...
  • Decision levels are stable: towards better SAT heuristics 

    Nieuwenhuis, Robert Lukas Mario; Lozano Navarro, Adrián; Oliveras Llunell, Albert; Rodríguez Carbonell, Enric (EasyChair Publications, 2020)
    Conference report
    Restricted access - publisher's policy
    We shed new light on the Literal Block Distance (LBD) and glue-based heuristics used in current SAT solvers. For this, we first introduce the concept of stickiness: given a run of a CDCL SAT solver, for each pair of literals ...
  • Structure and complexity of bag consistency 

    Atserias, Albert; Kolaitis, Phokion (Association for Computing Machinery (ACM), 2021)
    Conference report
    Open Access
    Since the early days of relational databases, it was realized that acyclic hypergraphs give rise to database schemas with desirable structural and algorithmic properties. In a by-now classical paper, Beeri, Fagin, Maier, ...
  • Comparing navigation meshes: Theoretical analysis and practical metrics 

    van Toll, Wouter; Triesscheijn, Roy; Kallmann, Marcello; Oliva Martínez, Ramon; Pelechano Gómez, Núria; Pettré, Julien; Geraerts, Roland (2020-10)
    Article
    Restricted access - publisher's policy
    A navigation mesh is a representation of a 2D or 3D virtual environment that enables path planning and crowd simulation for walking characters. Various state-of-the-art navigation meshes exist, but there is no standardized ...
  • Cumulated burden of Covid-19 in Spain from a Bayesian perspective 

    Moriña, David; Fernandez Fontelo, Amanda; Cabaña Nigro, Ana Alejandra; Arratia Quesada, Argimiro Alejandro; Ávalos Villaseñor, Gustavo Eduardo; Puig, Pedro (2021-06-28)
    Article
    Restricted access - publisher's policy
    Background The main goal of this work is to estimate the actual number of cases of Covid-19 in Spain in the period 01-31-2020/06-01-2020 by Autonomous Communities. Based on these estimates, this work allows us to accurately ...
  • kernInt: A kernel framework for integrating supervised and unsupervised analyses in spatio-temporal metagenomic datasets 

    Ramon Gurrea, Elies; Belanche Muñoz, Luis Antonio; Molist Gasa, Francesc; Quintanilla Aguado, Raquel; Pérez Enciso, Miguel; Ramayo Caldas, Yuliaxis (2021-01-28)
    Article
    Open Access
    The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e., prediction of a phenotype ...
  • Real-time multimodal emotion classification system in E-Learning context 

    Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santiago (Springer, 2021)
    Conference report
    Restricted access - publisher's policy
    Emotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models have been proposed ...
  • Sentiment analysis of financial news: mechanics and statistics 

    Arratia Quesada, Argimiro Alejandro; Ávalos Villaseñor, Gustavo Eduardo; Cabaña Nigro, Ana Alejandra; Duarte López, Ariel; Renedo Mirambell, Martí (Springer, 2021-06-11)
    Part of book or chapter of book
    Open Access
    This chapter describes the basic mechanics for building a forecasting model that uses as input sentiment indicators derived from textual data. In addition, as we focus our target of predictions on financial time series, ...
  • Clustering assessment in weighted networks 

    Arratia Quesada, Argimiro Alejandro; Renedo Mirambell, Martí (2021-06-18)
    Article
    Open Access
    We provide a systematic approach to validate the results of clustering methods on weighted networks, in particular for the cases where the existence of a community structure is unknown. Our validation of clustering comprises ...

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