Now showing items 1-20 of 53

    • A generalized linear model for cardiovascular complications prediction in PD patients 

      Fernández-Lozano, Carlos; Alonso Valente, Rafael; Fidalgo Díaz, Manuel; Pazos, A. (ACM, 2018)
      [Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that ...
    • A Machine Learning Solution for Distributed Environments and Edge Computing 

      Penas-Noce, Javier; Fontenla-Romero, Óscar; Guijarro-Berdiñas, Bertha (M D P I AG, 2019-08-09)
      [Abstract] In a society in which information is a cornerstone the exploding of data is crucial. Thinking of the Internet of Things, we need systems able to learn from massive data and, at the same time, being inexpensive ...
    • A methodology for the design of experiments in computational intelligence with multiple regression models 

      Fernández-Lozano, Carlos; Gestal, Marcos; Munteanu, Cristian-Robert; Dorado, Julián; Pazos, A. (Peer J, 2016-12-01)
      [Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ...
    • Algoritmo de explicación de anomalías en espacios mixtos categórico-continuos 

      López-Riobóo Botana, Iñigo Luis (2019)
      [Resumen] En este proyecto se presenta un método de explicación para el algoritmo ADMNC (Anomaly Detector for Mixed Numerical and Categorical inputs) desarrollado en el grupo LIDIA (Laboratorio de Investigación y Desarrollo ...
    • Ambient Intelligence Systems for Personalized Sport Training 

      Vales-Alonso, Javier; López-Matencio, Pablo; Gonzalez-Castaño, Francisco J.; Navarro-Hellín, Honorio; Baños-Guirao, Pedro J.; Pérez-Martínez, Francisco J.; Martínez-Álvarez, Rafael P.; González-Jiménez, Daniel; Gil-Castiñeira, Felipe; Duro, Richard J. (Molecular Diversity Preservation International, 2010)
      Several research programs are tackling the use of Wireless Sensor Networks (WSN) at specific fields, such as e-Health, e-Inclusion or e-Sport. This is the case of the project “Ambient Intelligence Systems Support for ...
    • Application of Functional Data Analysis for the Prediction of Maximum Heart Rate 

      Matabuena, Marcos; Vidal, Juan C.; Hayes, Philip R.; Saavedra-García, Miguel A.; Huelin Trillo, Fernando (IEEE-Institute of Electrical and Electronics Engineers, 2019-08-29)
      [Abstract]: Maximum heart rate (MHR) is widely used in the prescription and monitoring of exercise intensity, and also as a criterion for the termination of sub-maximal aerobic _tness tests in clinical populations. Traditionally, ...
    • Applied computational techniques on schizophrenia using genetic mutations 

      Aguiar-Pulido, Vanessa; Gestal, Marcos; Fernández-Lozano, Carlos; Rivero, Daniel; Munteanu, Cristian-Robert (Bentham, 2013-03-01)
      [Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ...
    • Authentication of tequilas using pattern recognition and supervised classification 

      Pérez-Caballero, G.; Andrade Garda, José Manuel; Olmos, P.; Molina, Y.; Jiménez, I.; Durán, J.J.; Fernández-Lozano, Carlos; Miguel-Cruz, F. (Elsevier, 2017-07-18)
      [Abstract] Sales of reputed, Mexican tequila grown substantially in last years and, therefore, counterfeiting is increasing steadily. Hence, methodologies intended to characterize and authenticate commercial beverages are ...
    • Automated early detection of drops in commercial egg production using neural networks 

      Ramírez-Morales, Iván; Fernandez-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Taylor & Francis, 2017-10-17)
      [Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg ...
    • 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 system for the detection and recognition of phytoplankton in digital microscope imaging 

      Rivas Villar, David (2019-08)
      [Abstract] The quality of water can be compromised by the proliferation of toxic species of phytoplankton. When these blooms occur in rivers and reservoirs used for the water supply, this event can have a negative impact ...
    • Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models 

      Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A. (Bentham, 2015-09-01)
      [Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ...
    • Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data 

      Munteanu, Cristian-Robert; Fernández-Lozano, Carlos; Mato-Abad, Virginia; Pita-Fernández, Salvador; Álvarez-Linera, Juan; Hernández-Tamames, Juan Antonio; Pazos, A. (Elsevier, 2015-03-30)
      [Abstract] Several magnetic resonance techniques have been proposed as non-invasive imaging biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer’s Disease (AD). This work is the first ...
    • Color Sift Descriptors to Categorize Illegal Activities in Images of Onion Domains 

      Matilla, David; González-Castro, Víctor; Fernández-Robles, Laura; Fidalgo, Eduardo; Al-Nabki, Mhd Wesam (Área de Ingeniería de Sistemas y Automática, Universidad de Extremadura, 2018)
      [Abstract] Dark Web, i.e. the portion of the Web whose content is not indexed either accessible by standard web browsers, comprises several darknets. The Onion Router (Tor) is the most famous one, thanks to the anonymity ...
    • Comparación de algoritmos de aprendizaje automático para la clasificación de posturas de la mano y dedos 

      Otazua, Enaitz; Irigoyen, Eloy; Imatz-Ojanguren, Eukene; Keller, Thierry (Universidade da Coruña, Servizo de Publicacións, 2019)
      [Resumen] El deterioro de la movilidad de la extremidad superior es una de las consecuencias más comunes de los accidentes cerebrovasculares. La estimulación eléctrica funcional (FES) ha demostrado ser una terapia efectiva ...
    • Comparison of Outlier-Tolerant Models for Measuring Visual Complexity 

      Carballal, Adrian; Fernandez-Lozano, Carlos; Rodriguez-Fernandez, Nereida; Santos, Iria; Romero, Juan (M D P I AG, 2020-04-24)
      [Abstract] Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision ...
    • Cuadro de mando para un destino turístico inteligente 

      Díaz, S.; Torres, Jesús Miguel; Aguilar, Rosa María; Parra, Eduardo (Área de Ingeniería de Sistemas y Automática, Universidad de Extremadura, 2018)
      [Resumen] Mejorar siempre es una ardua tarea que precisa de nuevas herramientas y/o técnicas, que permitan al individuo o grupo de estos poder dar una vuelta de tuerca a determinada situación y obtener una nueva visión de ...
    • Desarrollo de una herramienta basada en Deep Learning para asistir en el coloreado de imágenes antiguas 

      Maseda Neira, David (2020)
      [Resumen] Dentro de la restauración y conservación del patrimonio cultural, un área que está comenzando a recibir mucha atención es el sector audiovisual. En concreto el coloreado de fotografías es un uno de los principales ...
    • Detección de anomalías de red mediante técnicas de machine learning 

      Villar Freire, Fernando Javier (2019)
      [Resumen] El panorama actual, con un aumento del tráfico debido a la proliferación del internet de las cosas, al auge de la filosofía del siempre conectado, el aumento de los servicios multimedia, el cloud, la videoconferencia…, ...
    • Detecting Textual Information in Images from Onion Domains Using Text Spotting 

      Blanco, Pablo; Fidalgo, Eduardo; Alegre, Enrique; Al-Nabki, Mhd Wesam (Área de Ingeniería de Sistemas y Automática, Universidad de Extremadura, 2018)
      [Abstract] Due to the efforts of different authorities in the fight against illegal activities in the Tor networks, the traders have developed new ways of circumventing the monitoring tools used to obtain evidence of said ...