• 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-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 ...
    • On the concept of infinitesimal position vector fields in Galilean spacetimes 

      Caballero, Magdalena; De la Fuente, Daniel; Pelegrín, José A. S.; Rubio, Rafael M. (World Scientific, 2022)
      We introduce two different ways to establish the concept of infinitesimal position vector field between “infinitesimally nearby” observers in a Galilean spacetime as well as show their mathematical equivalence. We also use ...
    • On the geometry of stationary Galilean spacetimes 

      De la Fuente, Daniel; Pelegrín, José A. S.; Rubio, Rafael M. (Springer, 2021)
      In this work we introduce a new family of non-relativistic spacetimes: standard stationary Galilean spacetimes, which constitute the local geometric model of stationary Galilean spacetimes. We also study the geodesic ...
    • 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 ...
    • Optimal online time-series segmentation 

      Carmona Poyato, Ángel; Fernández García, Nicolás Luis; Madrid-Cuevas, F.J.; Muñoz-Salinas, Rafael; Romero Ramírez, Francisco J. (Springer, 2024)
      When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ...
    • 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-Bolívar, 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 ...
    • Paravertebral Muscle Mechanical Properties and Spinal Range of Motion in Patients with Acute Neck or Low Back Pain: A Case-Control Study 

      Alcaraz-Clariana, Sandra; García-Luque, Lourdes; Garrido Castro, Juan Luis; Fernández-de-las-Peñas, César; Carmona-Pérez, Cristina; Rodrigues-de-Souza, Daiana Priscila; Alburquerque Sendín, Francisco (MDPI, 2021)
      Our aims were to identify potential differences in muscle mechanical properties (MMPs) of cervical and lumbar tissues and in spinal range of motion (ROM) between patients with acute low back pain (LBP) or acute neck pain ...
    • Paravertebral Muscle Mechanical Properties in Patients with Axial Spondyloarthritis or Low Back Pain: A Case-Control Study 

      Alcaraz-Clariana, Sandra; García-Luque, Lourdes; Garrido Castro, Juan Luis; Aranda-Valera, I. Concepción; Ladehesa-Pineda, Lourdes; Puche-Larrubia, María Ángeles; Carmona-Pérez, Cristina; Rodrigues-de-Souza, Daiana Priscila; Alburquerque Sendín, Francisco (MDPI, 2021)
      Different musculoskeletal disorders are a source of pain in the spinal region; most of them can be divided into mechanical, such as low back pain (LBP), or inflammatory origins, as is the case of axial spondyloarthritis ...
    • PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification 

      García Pedrajas, Nicolás; Cuevas-Muñoz, José Manuel; Romero-del-Castillo, Juan A.; Haro García, Aída de (Elsevier, 2023)
      Multi-label classification has recently attracted research interest as a data mining task. Many current applications in data mining address problems that have instances belonging to more than one class. This requires the ...
    • Procedimiento de Autentificación de Obras de Arte Digital 

      Castro Lozano, Carlos de; García Salcines, Enrique; Ramírez Uceda, José Miguel; Robles González, Remedios María; Sainz de Abajo, Beatriz (Oficina de Transferencia de Resultados de la Investigación, 2013)
      La presente invención se refiere a un procedimiento que permite autentificar obras de arte, preferentemente de arte digital, es decir, el que se realiza con dispositivos electrónicos de computación, aunque podría aplicarse ...
    • Process mining for self-regulated learning assessment in e-learning 

      Cerezo, Rebeca; Bogarín Vega, Alejandro; Esteban, María; Romero Morales, C. (Springer, 2020)
      Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only ...
    • Programa COINCIDENTE: el proyecto MANPREDIC 

      Ventura Soto, S. (Oficina de Transferencia de Resultados de la Investigación, 2019)
    • Projection based ensemble learning for ordinal regression 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Hervás-Martínez, César (2013-10-08)
      The classification of patterns into naturally ordered labels is referred to as ordinal regression. This paper proposes an ensemble methodology specifically adapted to this type of problems, which is based on computing ...
    • Proposal for the Design of Monitoring and Operating Irrigation Networks Based on IoT, Cloud Computing and Free Hardware Technologies 

      Fernández-Ahumada, Luis Manuel; Ramírez Faz, José; Torres Romero, Marcos; López Luque, Rafael (MDPI, 2019)
      In recent decades, considerable efforts have been devoted to process automation in agriculture. Regarding irrigation systems, this demand has found several difficulties, including the lack of communication networks and the ...