Laboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA): Envíos recentes

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    • Large scale anomaly detection in mixed numerical and categorical input spaces 

      Eiras-Franco, Carlos; Martínez Rego, David; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo; Bahamonde, Antonio (Elsevier, 2019)
      [Abstract]: This work presents the ADMNC method, designed to tackle anomaly detection for large-scale problems with a mixture of categorical and numerical input variables. A flexible parametric probability measure is ...

    • 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 ...

    • Emerging technologies in artificial intelligence: quantum rule-based systems 

      Moret-Bonillo, Vicente (Springer, 2018)
      [Abstract]: This article tries to establish synergies between two areas of research and development that are apparently disconnected: artificial intelligence (AI) and quantum computing (QC). The article begins with a brief ...

    • 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 ...

    • Revisiting the Wang–Mendel algorithm for fuzzy classification 

      Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (John Wiley & Sons Ltd, 2018-02-06)
      [Abstract]: In this paper, we review the Wang–Mendel algorithm for the induction of fuzzy IF-THEN rules in the context of classification problems. A general fuzzy inference architecture for classification is proposed with ...