Now showing items 1-9 of 9

    • A semantic model to fight social exclusion 

      Ortiz Santiago, Víctor Alejandro; Estañol Lamarca, Montserrat; Marinescu, Maria Cristina; Sancho Samsó, María Ribera; Teniente López, Ernest; Rueda Palenzuela, Carmen (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference lecture
      Open Access
      This work presents a semantic model meant to help with the identification and prediction of individuals at risk of social exclusion. The model is based on the self-sufficiency matrix, a tool that evaluates a person's ...
    • Assessing population-sampling strategies for reducing the COVID-19 incidence 

      Guzmán Merino, Miguel; Durán, Christian; Marinescu, Maria Cristina; Delgado Sanz, Concepción; Gómez Barroso, Diana; Carretero Pérez, Jesús; Singh, David E. (Elsevier, 2021-12)
      Article
      Open Access
      As long as critical levels of vaccination have not been reached to ensure heard immunity, and new SARS-CoV-2 strains are developing, the only realistic way to reduce the infection speed in a population is to track the ...
    • Core-guided minimal correction set and core enumeration 

      Narodytska, Nina; Bjørner, Nikolaj; Marinescu, Maria Cristina; Sagiv, Mooly (IJCAI, 2018)
      Conference report
      Open Access
      A set of constraints is unsatisfiable if there is no solution that satisfies these constraints. To analyse unsatisfiable problems, the user needs to understand where inconsistencies come from and how they can be repaired. ...
    • Evaluating the impact of the weather conditions on the influenza propagation 

      Singh, David E.; Marinescu, Maria Cristina; Carretero Pérez, Jesús; Delgado Sanz, Concepción; Gómez Barroso, Diana; Larrauri Cámara, Amparo (2020-04-05)
      Article
      Open Access
      Background: Predicting the details of how an epidemic evolves is highly valuable as health institutions need to better plan towards limiting the infection propagation effects and optimizing their prediction and response ...
    • I1: Final exam: Spring 2020 

      Marinescu, Maria Cristina (Universitat Politècnica de Catalunya, 2020-06-17)
      Exam
      Restricted access to the UPC academic community
    • Improving object detection in paintings based on time contexts 

      Marinescu, Maria Cristina; Reshetnikov, Artem; More López, Joaquim (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      This paper proposes a novel approach to object detection for the Cultural Heritage domain, which relies on combining Deep Learning and semantic metadata about candidate objects extracted from existing sources such as ...
    • Lindaview: an OBDA-based tool for self-sufficiency assessment 

      Ortiz Santiago, Víctor Alejandro; Estañol Lamarca, Montserrat; Marinescu, Maria Cristina; Sancho Samsó, María Ribera; Teniente López, Ernest (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      Poverty and social exclusion are a reality in every society. They are complex problems that require updated information and access to scattered data sources to make a proper assessment of a person’s situation. To help ...
    • Simulation of COVID-19 propagation scenarios in the Madrid metropolitan area 

      Singh, David E.; Marinescu, Maria Cristina; Guzmán Merino, Miguel; Durán, Christian; Delgado Sanz, Concepción; Gómez Barroso, Diana; Carretero Pérez, Jesús (Frontiers Media SA, 2021-03-16)
      Article
      Open Access
      This work presents simulation results for different mitigation and confinement scenarios for the propagation of COVID-19 in the metropolitan area of Madrid. These scenarios were implemented and tested using EpiGraph, an ...
    • Ten simple rules for making a vocabulary FAIR 

      Cox, Simon J. D.; González Beltran, Alejandra N.; Magagna, Barbara; Marinescu, Maria Cristina (Public Library of Science (PLOS), 2021-06-16)
      Article
      Open Access
      We present ten simple rules that support converting a legacy vocabulary—a list of terms available in a print-based glossary or in a table not accessible using web standards—into a FAIR vocabulary. Various pathways may be ...