Listar por autor "Moret-Bonillo, Vicente"

Mostrando ítems 1-20 de 21

    • A comparison of performance of K-complex classification methods using feature selection 

      Hernández-Pereira, Elena; Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente; Alonso-Betanzos, Amparo (2016-01-20)
      [Abstract] The main objective of this work is to obtain a method that achieves the best accuracy results with a low false positive rate in the classification of K-complexes, a kind of transient waveform found in the ...

    • 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 Convolutional Network for Sleep Stages Classification 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Alvarez-Estevez, Diego; Moret-Bonillo, Vicente (2019-02)
      [Abstract]: Sleep stages classification is a crucial task in the context of sleep studies. It involves the simultaneous analysis of multiple signals recorded during sleep. However, it is complex and tedious, and even the ...

    • A convolutional network for the classification of sleep stages 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (M D P I AG, 2018-09-14)
      [Abstract] The classification of sleep stages is a crucial task in the context of sleep medicine. It involves the analysis of multiple signals thus being tedious and complex. Even for a trained physician scoring a whole ...

    • 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 ...

    • Automatic classification of respiratory patterns involving missing data imputation techniques 

      Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (Academic Press, 2015-10)
      [Abstract] A comparative study of the respiratory pattern classification task, involving five missing data imputation techniques and several machine learning algorithms is presented in this paper. The main goal was to ...

    • Automatic detection of EEG arousals 

      Fernández-Varela, Isaac; Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (ESANN, 2016-04-27)
      [Abstract] Fragmented sleep is commonly caused by arousals that can be detected with the observation of electroencephalographic (EEG) signals. As this is a time consuming task, automatization processes are required. ...

    • Commentaries on Viewpoint: The ongoing need for good physiological investigation: Obstructive sleep apnea in HIV patients as a paradigm 

      Zuo, Li; Jouett, Noah P.; Eugenín, Jaime; Figueiredo Müller-Ribeiro, Flávia Camargos de; Cysique, Lucette A.; Fernández Tellez, Helio; Perlitz, Volker; Nieman, Gary; Hemmelgarn, Benjamin T.; Smith, Michael L.; Beltrán-Castillo, Sebastián; Bernhardi, Rommy von; Ribeiro-Marins, Fernanda; Peliky Fontes, Marco Antônio; Gandevia, Simon C.; Mekjavic, Igor B.; Kerkhof, Peter L. M.; Munck, Jan de; Moret-Bonillo, Vicente; Gatto, Louis A. (American Physiological Society, 2015-01-15)
      [Abstract] The intriguing paradigm put forth by Darquenne et al. (3) highlighted that improved therapy against human immunodeficiency virus (HIV) has come at the cost of elevated rates of chronic diseases, such as obstructive ...

    • Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review 

      Moret-Bonillo, Vicente; Álvarez-Estévez, Diego (Hindawi Publishing Corporation, 2015)
      Automatic diagnosis of the Sleep Apnea-Hypopnea Syndrome (SAHS) has become an important area of research due to the growing interest in the field of sleep medicine and the costs associated with its manual diagnosis. The ...

    • 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 ...

    • Improving detection of apneic events by learning from examples and treatment of missing data 

      Hernández-Pereira, Elena; Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (I O S Press, 2014)
      [Abstract] This paper presents a comparative study over the respiratory pattern classification task involving three missing data imputation techniques, and four different machine learning algorithms. The main goal was to ...

    • Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome 

      Moret-Bonillo, Vicente; Álvarez-Estévez, Diego; Fernández-Leal, Ángel; Hernández-Pereira, Elena (Bentham Open, 2014-06-13)
      This work deals with the development of an intelligent approach for clinical decision making in the diagnosis of the Sleep Apnea/Hypopnea Syndrome, SAHS, from the analysis of respiratory signals and oxygen saturation in ...

    • 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 ...

    • 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 ...

    • Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea–Hypopnea Syndrome 

      Álvarez-Estévez, Diego; Moret-Bonillo, Vicente (Pergamon Press, 2016-04-01)
      [Abstract] Some approaches have been published in the past using Heart Rate Variability (HRV) spectral features for the screening of Sleep Apnea–Hypopnea Syndrome (SAHS) patients. However there is a big variability among ...