Mostrando ítems 211-215 de 11660

    • Integration of Captive Movement Systems in Virtual Environments for Rehabilitation in People with Disabilities 

      Lagos Rodríguez, Manuel; Canosa, Nereida; Pousada, Thais (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Generally, virtual reality (VR) systems used to improve physical and cognitive skills in people with disabilities generate a limited play area, allowing only a few meters of movement. This work proposes the ...
    • A System for the Management, Visualization and Annotation of Digital Collections of Handwritten Historical Documents 

      Correa-Guillén, Carlos Andrés; Gómez García, Ángel; López-Salas, Estefanía (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Today, there are huge amounts of handwritten documents accessible in digital collections. However, working with these documents for research purposes is limited due to the lack of appropriate technological ...
    • Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment 

      Bobes-Bascarán, José; Fernández-Leal, Ángel; Mosqueira-Rey, E.; Alonso Ríos, David; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The increasing adoption of artificial intelligent systems at sensitive domains where humans are particularly, such as medicine, has provided the context to deeply explore ways of making machine learning models ...
    • Estimation of Distance Correlation: a Simulation-based Comparative Study 

      Monroy-Castillo, Blanca E.; Jácome, M. A.; Cao, Ricardo (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The notion of distance correlationwas introduced to measure the dependence between two random vectors, not necessarily of equal dimensions, in a multivariate setting. In their work, Sz´ekely et al. (2007) ...
    • Towards a FAIR Dataset for Spanish Non-Functional Requirements 

      Limaylla-Lunarejo, María-Isabel; Condori Fernández, Nelly; Rodríguez Luaces, Miguel (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Supervised Machine Learning algorithms (ML) have enhanced the performance of the automatic non-functional requirements (NFR) classification in the Requirements Engineering domain. However, the lack of public ...