Now showing items 83-102 of 129

    • 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. ...
    • 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 ...
    • 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 ...
    • Pyramidal Fisher Motion for Multiview Gait Recognition 

      Medina-Carnicer, R.; Castro, F.M.; Marín-Pérez, M.J. (2017-01-17)
      The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluate the use of motion descriptors based on ...
    • Radar milimétrico 

      Castro Lozano, Carlos de; García Salcines, Enrique; Ramírez Uceda, José Miguel; Robles González, Remedios María; Sainz de Abajo, Beatriz; Malgina, Natalia; Gutiérrez Ávila, Cándido; Castelo Pla, José Antonio; Parra Lozano, Manuel (Oficina de Transferencia de Resultados de la Investigación, 2013)
      El sistema de radar consiste en un complejo grupo de medios técnicos de carácter universal y funcional (observación, control ecológico, vigilancia, dirección de tráfico marítimo) de las aguas del mar, del océano, de otros ...
    • Recomputing Causality Assignments on Lumped Process Models When Adding New Simplification Assumptions 

      Belmonte, Antonio; Garrido, Juan J.; Jiménez, Jorge E.; Vázquez, Francisco (MDPI, 2018)
      This paper presents a new algorithm for the resolution of over-constrained lumped process systems, where partial differential equations of a continuous time and space model of the system are reduced into ordinary ...
    • Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm 

      Luna, J.M.; Romero, José Raúl; Romero Morales, C.; Ventura Soto, S. (IOS Press, 2014)
      The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ...
    • Regresión no lineal mediante la evolución de modelos Híbridos de Redes Neuronales 

      Martínez, Francisco J.; Gutiérrez, Pedro A.; Ruiz, Aarón; Hervás-Martínez, César (Comité Organizador de MAEB'05, 2005)
      El presente trabajo es una primera aproximación a la formación de modelos de redes neuronales con unidades ocultas de tipo híbrido (sigmoides, producto) que siendo aproximadores universales, puedan utilizarse como ...