Listar por autor "Mosqueira-Rey, E."

Mostrando ítems 1-14 de 14

    • A classification and review of tools for developing and interacting with machine learning systems 

      Mosqueira-Rey, E.; Hernández-Pereira, Elena; Alonso Ríos, David; Bobes-Bascarán, José (Association for Computing Machinery, 2022)
      [Abstract] In this paper we aim to bring some order to the myriad of tools that have emerged in the field of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose, we suggest a ...

    • A computational system for the Heuristic Forecasting of Fire Risk 

      Moret-Bonillo, Vicente; Cabrero-Canosa, Mariano; Mosqueira-Rey, E.; Carballal Mato, Elena; Piñeiro, M.; Kolev, S.; Galiñares, A.V.; Paz Andrade, M.J.; Carballas, Tarsy (International Institute of Informatics and Systemics, 2002-07)
      This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of meteorological variables so as to produce a fire weather risk index. The system also studies a set ...

    • A knowledge model for the development of a framework for hypnogram construction 

      Fernández-Leal, Ángel; Cabrero-Canosa, Mariano; Mosqueira-Rey, E.; Moret-Bonillo, Vicente (Elsevier BV, 2017-02-15)
      [Abstract] We describe a proposal of a knowledge model for the development of a framework for hypnogram construction from intelligent analysis of pulmonology and electrophysiological signals. Throughout the twentieth ...

    • A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces 

      Alonso Ríos, David; Mosqueira-Rey, E.; Moret-Bonillo, Vicente (Taylor & Francis, 2018-01-24)
      [Abstract]: Heuristic evaluation is one of the most actively used techniques for analyzing usability, as it is quick and inexpensive. This technique is based on following a given set of heuristics, which are typically ...

    • A systematic approach to API usability: Taxonomy-derived criteria and a case study 

      Mosqueira-Rey, E.; Alonso Ríos, David; Moret-Bonillo, Vicente; Fernández-Varela, Isaac; Álvarez-Estévez, Diego (Elsevier B.V., 2018-05)
      [Abstract]: CONTEXT. The currently existing literature about Application Program Interface (API) usability is heterogeneous in terms of goals, scope, and audience; and its connection to accepted definitions of usability ...

    • A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device 

      Alonso Ríos, David; Mosqueira-Rey, E.; Moret-Bonillo, Vicente (Taylor & Francis Inc., 2014-04-04)
      [Abstract] Usability studies are often based on ad hoc definitions of usability. These studies can be difficult to generalize, they might have a steep learning curve, and there is always the danger of being inconsistent ...

    • Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach 

      Mosqueira-Rey, E.; Hernández-Pereira, Elena; Bobes-Bascarán, José; Alonso Ríos, David; Pérez-Sánchez, Alberto; Fernández-Leal, Ángel; Moret-Bonillo, Vicente; Vidal-Ínsua, Yolanda; Vázquez-Rivera, Francisca (Springer Nature, 2023-11)
      [Abstract]: Any machine learning (ML) model is highly dependent on the data it uses for learning, and this is even more important in the case of deep learning models. The problem is a data bottleneck, i.e. the difficulty ...

    • Improving Medical Data Annotation Including Humans in the Machine Learning Loop 

      Bobes-Bascarán, José; Mosqueira-Rey, E.; Alonso Ríos, David (MDPI, 2021)
      [Abstract] At present, the great majority of Artificial Intelligence (AI) systems require the participation of humans in their development, tuning, and maintenance. Particularly, Machine Learning (ML) systems could greatly ...

    • Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop 

      Mosqueira-Rey, E.; Alonso Ríos, David; Baamonde-Lozano, Andrés (Elsevier, 2021)
      [Abstract] Scholars and practitioners are defining new types of interactions between humans and machine learning algorithms that we can group under the umbrella term of Human-in-the-Loop Machine Learning (HITL-ML). This ...

    • Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model 

      Moret-Bonillo, Vicente; Magaz Romero, Samuel; Mosqueira-Rey, E. (MDPI, 2022)
      [Abstract] In this paper, we illustrate that inaccurate knowledge can be efficiently implemented in a quantum environment. For this purpose, we analyse the correlation between certainty factors and quantum probability. We ...

    • Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries 

      Magaz Romero, Samuel; Mosqueira-Rey, E.; Alvarez-Estevez, Diego; Moret-Bonillo, Vicente (Springer Nature, 2023-06)
      [Abstract]: The current context of Quantum Computing and its available technologies present an extensive variety of tools and lack of methodologies, leading to incompatibilities across platforms, which end up as inconsistencies ...

    • SHIVA : un sistema heurístico e integrado para la validación de sistemas inteligentes 

      Mosqueira-Rey, E. (1998)
      [Resumen] En esta tesis se aborda la construcción de una herramienta de validación de sistemas expertos. Tras unos primeros capítulos en los que se introducen las nociones necesarias de verificación y validación de ...

    • 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 ...

    • Usability Heuristics for Domain-Specific Languages (DSLs) 

      Mosqueira-Rey, E.; Alonso Ríos, David (ACM, 2020-03-30)
      [Abstract] The usability of Domain-Specific Languages (DSLs) has been attracting considerable interest from researchers lately. In particular, our literature review found many usability studies that make use of subjective ...