• Development of a Virtual Sensor for COD Measurement in a Wastewater Treatment Plant 

      Díaz-Longueira, Antonio; Timiraos, Míriam; Michelena, Álvaro; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The objective of the work is to develop a system that allows predicting, from a global perspective, the behavior of the process in a wastewater treatment plant. To do this, the chemical oxygen demand, a variable ...
    • 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 ...
    • 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 ...
    • Use of Deep Learning Techniques for Motor Events Detection in Polysomnographic Records 

      Lloves García, Inés; Álvarez-Estévez, Diego (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Sleep medicine deals with the diagnosis and treatment of sleep-related disorders. The diagnosis is carried out through the manual analysis and labeling of polysomnographic studies, which record various ...
    • Use of Machine Learning Algorithms for Network Traffic Classification 

      Nieto Antelo, Adrián; Fernández, Diego; Nóvoa, Francisco (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] In recent years, the complexity of threats utilizing the network as an attack vector has significantly increased. Traditional attack prevention and detection systems (IPS/IDS) based on signatures do not provide ...