Browsing by Author "Marinescu, Maria Cristina"
Now showing items 1-12 of 12
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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 AccessThis 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 AccessAs 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 ... -
Automated metadata annotation: What is and is not possible with machine learning
Wu, Mingfang; Brandhorst, Hans; Marinescu, Maria Cristina; More López, Joaquim; Hlava, Margorie; Busch, Joseph (The MIT Press. Massachusetts Institute of Technology, 2023-03-08)
Article
Open AccessAutomated metadata annotation is only as good as training dataset, or rules that are available for the domain. It's important to learn what type of data content a pre-trained machine learning algorithm has been trained on ... -
Characterising information gains and losses when collecting multiple epidemic model outputs
Sherratt, Katharine; Srivastava, Ajitesh; Ainslie, Kylie; Singh, David E.; Cublier, Aymar; Marinescu, Maria Cristina (Elsevier, 2024)
Article
Open AccessBackground Collaborative comparisons and combinations of epidemic models are used as policy-relevant evidence during epidemic outbreaks. In the process of collecting multiple model projections, such collaborations may ... -
Core-guided minimal correction set and core enumeration
Narodytska, Nina; Bjørner, Nikolaj; Marinescu, Maria Cristina; Sagiv, Mooly (IJCAI, 2018)
Conference report
Open AccessA 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 AccessBackground: 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 AccessThis 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 AccessPoverty 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 ... -
QUARQ: QUick approximate and relaxed querying
Ortiz Santiago, Víctor Alejandro; Marinescu, Maria Cristina; Sancho Samsó, María Ribera (Barcelona Supercomputing Center, 2022-05)
Conference report
Open AccessExecuting queries over Linked Open Data (LOD) is a complex task. The total number of sources triggered by a single query cannot be known in advance, nor the reasoning complexity applied to each source. In order to avoid ... -
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 AccessThis 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 AccessWe 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 ...