Now showing items 74-93 of 129

    • Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Validation Study in Axial Spondyloarthritis 

      Aranda-Valera, I. Concepción; Cuesta-Vargas, Antonio; Garrido Castro, Juan Luis; Gardiner, Philip V.; López Medina, Eloísa Clementina; Machado, Pedro M.; Condell, Joan; Connolly, James; Williams, Jonathan M.; Muñoz-Esquivel, Karla; O’Dwyer, Tom; Castro Villegas, María del Carmen; González-Navas, Cristina; Collantes Estévez, Eduardo; iMaxSpA Study Group (MDPI, 2020)
      Portable inertial measurement units (IMUs) are beginning to be used in human motion analysis. These devices can be useful for the evaluation of spinal mobility in individuals with axial spondyloarthritis (axSpA). The ...
    • Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients 

      Cruz-Ramírez, M.; Fernández, Juan Carlos; Fernández-Navarro, F.; Briceño, J.; Mata García, Manuel de la; Hervás-Martínez, César (2017-02-17)
      In liver transplantation, matching donor and recipient is a problem that can be solved using machine learning techniques. In this paper we consider a liver transplant dataset obtained from eleven Spanish hospitals, ...
    • Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes 

      Fernández, J.C.; Gutiérrez, P.A.; Hervás-Martínez, César; Martínez, Francisco J. (2015-10-08)
      The main objective of this work is to automatically design neural network models with sigmoidal basis units for classification tasks, so that classifiers are obtained in the most balanced way possible in terms of CCR ...
    • Minería de datos educativos para la detección de recursos clave 

      Gibaja, Eva; Zafra Gómez, Amelia; Luque Rodríguez, María; Arauzo Azofra, Antonio; Ramírez Quesada, Aurora; Olmo Ortiz, Juan Luis (UCOPress, 2017)
      Este artículo describe un proyecto de innovación educativa centrado en diseñar y desarrollar un nuevo módulo de Moodle que permita obtener modelos predictivos basados en árboles de decisión a partir de los datos de uso ...
    • Mixing body-parts model for 2D human pose estimation in stereo videos 

      López-Quintero, Manuel I.; Marín-Jiménez, M.J.; Muñoz-Salinas, Rafael; Medina-Carnicer, R. (Institution of Engineering and Technology, 2017)
      This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very ...
    • Modelo de asignación donante-receptor español en transplantes hepáticos 

      Briceño Delgado, Francisco Javier; Mata García, Manuel de la; Cruz Ramírez, Manuel; Hervás-Martínez, César (Consejo Social de la Universidad de Córdoba, 2011)
      El reto que presentan los autores del proyecto se centra en encontrar un modelo español de asignación donante-receptor en trasplantes de hígado que sea válido a un número de pares donantes-receptores. El método que proponen ...
    • Multi-Objective Genetic Programming for Feature Extraction and Data Visualization 

      Cano, Alberto; Ventura Soto, S.; Cios, Krzyztof J. (2017-03-31)
      Feature extraction transforms high dimensional data into a new subspace of lower dimensionalitywhile keeping the classification accuracy. Traditional algorithms do not consider the multi-objective nature of this task. ...
    • Multi-view gait recognition on curved 

      López-Fernández, D.; Madrid-Cuevas, F.J.; Carmona Poyato, Ángel; Muñoz-Salinas, Rafael; Medina-Carnicer, R. (2017-12-11)
      Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on ...
    • Multivariable PID control by decoupling 

      Vázquez, Francisco; Morilla, Fernando; Garrido Jurado, Juan (2016)
      This paper presents a new methodology to design multivariable PID controllers based on decoupling control. The method is presented for general n×n processes. In the design procedure, an ideal decoupling control with integral ...
    • Nonlinear Boosting Projections for Ensemble Construction 

      García-Pedrajas, Nicolás; García-Osorio, César; Fyfe, Colin (Dale Schuurmans, 2007)
      In this paper we propose a novel approach for ensemble construction based on the use of nonlinear projections to achieve both accuracy and diversity of individual classifiers. The proposed approach combines the philosophy ...
    • Object oriented modelling and simulation of hydropower plants with run-of-river scheme: A new simulation tool 

      Zafra, Ángel; Vázquez, Francisco; Garrido Jurado, Juan (2009)
      This paper presents the design of a component library for modelling hydropower plants, and describes the development of a new simulation tool for small hydropower plants with a run-of-river scheme. After reviewing the ...
    • Object-Based Image Classification of Summer Crops with Machine Learning Methods 

      Gutiérrez, Pedro A.; Hervás-Martínez, César; Six, Johan; Plant, Richard E.; López-Granados, Francisca; Peña, José Manuel (MDPI, 2014)
      The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping ...
    • Online removal of ocular artefacts from the electroencephalogram 

      Thomlinson, M.; López, J.M.L.; García, M.I.B.; Jervis, B.W. (Institution of Engineering and Technology, 2004)
      A method by which ocular artefacts (OAs) in the electroencephalogram (EEG) may be removed automatically online by electro-oculogram (EOG) subtraction is demonstrated. This is achieved by a combination of recursively ...
    • Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm 

      Jiménez-Fernández, Silvia; Camacho-Gómez, Carlos; Mallol-Poyato, Ricardo; Fernández, Juan Carlos; Ser, Javier del; Portilla-Figueras, Antonio; Salcedo Sanz, S. (MDPI, 2019)
      In this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally ...
    • Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales 

      Lozano, Manuel; García-Martínez, Carlos; Rodríguez, Francisco J.; Trujillo, Humberto M. (Universidad de Salamanca, 2016)
      En los últimos años, ha crecido el interés en formular como un problema de optimización la tarea de concebir ataques efectivos que causen el máximo daño sobre redes complejas. En este caso, los ataques se modelan como ...
    • Ordinal and nominal classication of wind speed from synoptic pressure patterns 

      Gutiérrez, P.A.; Salcedo Sanz, S.; Hervás-Martínez, César; Carro-Calvo, L.; Sánchez-Monedero, J.; Prieto, L. (2017-01-18)
      Wind speed reconstruction is a challenging problem in areas (mainly wind farms) where there are not direct wind measures available. Di erent approaches have been applied to this reconstruction, such as measure-correlat ...
    • Ordinal regression methods: survey and experimental study 

      Gutiérrez, Pedro A.; Pérez-Ortiz, María; Sánchez-Monedero, J.; Fernández-Navarro, Francisco; Hervás-Martínez, César (2017-02-03)
      Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many real-world applications ...
    • Parallel evaluation of Pittsburgh rule-based classifiers on GPUs 

      Cano, Alberto; Zafra, Amelia; Ventura Soto, S. (2017-01-19)
      Individuals from Pittsburgh rule-based classifiers represent a complete solution to the classification problem and each individual is a variable-length set of rules. Therefore, these systems usually demand a high level ...
    • Parallelization Strategies for Markerless Human Motion Capture 

      Cano, Alberto; Yeguas-Bolivar, Enrique; Medina-Carnicer, R.; Ventura Soto, S.; Muñoz-Salinas, Rafael (2015-10-15)
      Markerless Motion Capture (MMOCAP) is the problem of determining the pose of a person from images captured by one or several cameras simultaneously without using markers on the subject. Evaluation of the solutions is ...
    • Practical advantages of inverted decoupling 

      Vázquez, Francisco; Morilla, Fernando; Hägglund, T.; Garrido Jurado, Juan (2011)
      This paper presents a study of the main advantages of inverted decoupling in 2x2 processes. Two simulation examples and an experimental process are used to show these advantages in comparison with simplified decoupling. ...