Enviaments recents

  • XYZ Monitor: IoT monitoring of infrastructures using microservices 

    Vila Gómez, Marc; Sancho Samsó, María Ribera; Teniente López, Ernest (Springer, 2020)
    Text en actes de congrés
    Accés obert
    One of the main features of the Internet of Things (IoT) is the ability to collect data from everywhere, convert this data into knowledge, and then use this knowledge to monitor about an undesirable situation. Monitoring ...
  • 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
    Accés restringit per política de l'editorial
    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 ...
  • 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)
    Capítol de llibre
    Accés obert
    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, ...
  • Mining dependencies in large-scale Agile software development projects: A quantitative industry study 

    Biesialska, Katarzyna; Franch Gutiérrez, Javier; Muntés Mulero, Víctor (Association for Computing Machinery (ACM), 2021)
    Text en actes de congrés
    Accés obert
    Context: Coordination in large-scale software development is critical yet difficult, as it faces the problem of dependency management and resolution. In this work, we focus on managing requirement dependencies that in Agile ...
  • PatternLens: Inferring evolutive patterns from web API usage logs 

    Koçi, Rediana; Franch Gutiérrez, Javier; Jovanovic, Petar; Abelló Gamazo, Alberto (Springer, 2021)
    Text en actes de congrés
    Accés obert
    The use of web Application Programming Interfaces (WAPIs) has experienced a boost in recent years. Developers (i.e., WAPI consumers) are continuously relying on third-party WAPIs to incorporate certain features into their ...
  • Improving Web API usage logging 

    Koçi, Rediana; Franch Gutiérrez, Javier; Jovanovic, Petar; Abelló Gamazo, Alberto (Springer, 2021)
    Text en actes de congrés
    Accés obert
    A Web API (WAPI) is a type of API whose interaction with its consumers is done through the Internet. While being accessed through the Internet can be challenging, mostly when WAPIs evolve, it gives providers the possibility ...
  • Integrating adaptive mechanisms into mobile applications exploiting user feedback 

    Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2021)
    Comunicació de congrés
    Accés obert
    Mobile applications have become a commodity in multiple daily scenarios. Their increasing complexity has led mobile software ecosystems to become heterogeneous in terms of hardware specifications, features and context of ...
  • RESim - Automated detection of duplicated requirements in software engineering projects 

    Motger de la Encarnación, Joaquim; Palomares Bonache, Cristina; Marco Gómez, Jordi (CEUR-WS.org, 2020)
    Text en actes de congrés
    Accés obert
    Collaborative software development experience in recent years proves that the management of large sets of requirements has become a critical issue. Among the main problems of requirements engineering, the detection and ...
  • Knowledge-based segmentation to improve accuracy and explainability in non-technical losses detection 

    Calvo Ibáñez, Albert; Coma Puig, Bernat; Carmona Vargas, Josep; Arias Vicente, Marta (2020-10-30)
    Article
    Accés obert
    Utility companies have a great interest in identifying energy losses. Here, we focus on Non-Technical Losses (NTL), which refer to losses caused by utility theft or meter errors. Typically, utility companies resort to ...
  • Estimating player positions from padel high-angle videos: Accuracy comparison of recent computer vision methods 

    Javadiha, Mohammadreza; Lacasa Claver, Enrique; Ric Díez, Angel; Andújar Gran, Carlos Antonio; Susín Sánchez, Antonio (Multidisciplinary Digital Publishing Institute (MDPI), 2021-05-12)
    Article
    Accés obert
    The estimation of player positions is key for performance analysis in sport. In this paper, we focus on image-based, single-angle, player position estimation in padel. Unlike tennis, the primary camera view in professional ...
  • Effective and scalable data discovery with NextiaJD 

    Flores Herrera, Javier de Jesús; Nadal Francesch, Sergi; Romero Moral, Óscar (OpenProceedings, 2021)
    Comunicació de congrés
    Accés obert
    We present NextiaJD, a data discovery system with high predictive performance and computational efficiency. NextiaJD aids data scientists in the discovery of datasets that can be crossed. To that end, it proposes a ranking ...
  • Towards scalable data discovery 

    Flores Herrera, Javier de Jesús; Nadal Francesch, Sergi; Romero Moral, Óscar (OpenProceedings, 2021)
    Comunicació de congrés
    Accés obert
    We study the problem of discovering joinable datasets at scale. We approach the problem from a learning perspective relying on profiles. These are succinct representations that capture the underlying characteristics of the ...

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