• 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, J.; Jiménez Hornero, Jorge; Vázquez Serrano, Francisco J. (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, J.R.; 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 ...
    • Reflection-aware generation and identification of square marker dictionaries 

      Garrido-Jurado, Sergio; Garrido, J.; Jurado Rodríguez, David; Vázquez, Francisco; Muñoz-Salinas, Rafael (MDPI, 2022)
      Square markers are a widespread tool to find correspondences for camera localization because of their robustness, accuracy, and detection speed. Their identification is usually based on a binary encoding that accounts for ...
    • 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 ...
    • Remote Sensing and Archaeology from Spanish LiDAR - PNOA: Identifying the Amphitheatre of the Roman City of Torreparedones (Córdoba - Andalucía - Spain ) 

      Monterroso-Checa, Antonio (University of the Aegean, 2017)
      Between 2015 and 2016 the Instituto Geográfico Nacional de España (Spanish Geographical Institute) made public the results of a LiDAR fl ight over the entire national territory. In the case of Andalucía, this flight was ...
    • ReSLAM: Reusable SLAM with heterogeneous cameras 

      Romero Ramírez, Francisco J.; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Carmona Poyato, Ángel; Medina-Carnicer, R. (Elsevier, 2024)
      State-of-the-art SLAM methods are designed to work only with the type of camera employed to create the map, and little attention has been paid to the reusability of the maps created. In other words, the maps generated by ...
    • Rigidity results for complete spacelike submanifolds in plane fronted waves 

      Palomo, Francisco J.; Pelegrín, José A. S.; Romero, Alfonso (Springer, 2022)
      New rigidity results for complete non-compact spacelike submanifolds of arbitrary codimension in plane fronted waves are obtained. Under appropriate assumptions, we prove that a complete spacelike submanifold in these ...
    • Rule-based preprocessing for data stream mining using complex event processing 

      Ramírez, Aurora; Moreno, Nathalie; Vallecillo, A. (Wiley, 2021)
      Data preprocessing is known to be essential to produce accurate data from which mining methods are able to extract valuable knowledge. When data constantly arrives from one or more sources, preprocessing techniques need ...
    • Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels 

      Cano, Alberto; Ventura Soto, S.; Cios, Krzysztof J. (2017)
      CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof- the-art algorithms for discretizing data for which classes are known. However, it may take a long time when run on high-dimensional large-scale ...
    • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Torres-Sánchez, Jorge; Hervás-Martínez, César; López-Granados, Francisca; Peña, José Manuel (2017-03-30)
      This paper approaches the problem of weed mapping for precision agriculture, using imagery provided by Unmanned Aerial Vehicles (UAVs) from sun ower and maize crops. Precision agriculture referred to weed control is ...
    • Semantic segmentation of 3D car parts using UAV-based images 

      Jurado Rodríguez, David; Jurado, Juan M.; Pádua, Luís; Neto, Alexandre; Muñoz-Salinas, Rafael; Sousa, Joaquim J. (Elsevier, 2022)
      Environment understanding in real-world scenarios has gained an increased interest in research and industry. The advances in data capture and processing allow a high-detailed reconstruction from a set of multi-view images ...
    • Semi-supervised Learning for Ordinal Kernel Discriminant Analysis 

      Pérez-Ortiz, María; Gutiérrez, P.A.; Carbonero-Ruz, M.; Hervás-Martínez, César (Elsevier, 2016)
      Ordinal classication considers those classication problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or di_cult to obtain in this type of problems because, in ...
    • SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features 

      García Pedrajas, Nicolás; Romero-del-Castillo, Juan A.; Cerruela García, Gonzalo (Elsevier, 2021)
      Data reduction is becoming increasingly relevant due to the enormous amounts of data that are constantly being produced in many fields of research. Instance selection is one of the most widely used methods for this task. ...
    • Sistema de consulta de notas a través de Páginas Web y de Telefonía Móvil 

      Cava Jiménez, David; Romero Morales, C.; Cruz Soto, José Luis; Ventura Soto, S. (Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2005)
      In this paper we are going to present a system which lets any student at Cordoba University knows what the final qualifications he has obtained in the different subjects he is registered are. The sytem lets him consult the ...
    • Sistema digital de catalogación y consulta de documentos académicos: Tesis, Tesinas, Proyectos de Fin de Carrera 

      Fernández García, Nicolás Luis; Malagón Oloya, Pablo José; Medina-Carnicer, R.; Madrid-Cuevas, F.J.; Carmona Poyato, Ángel (Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2005)
      A digital system has been developed on order to catalogue and consult academic documents: Theses, First Degree Dissertations and Technical Degree Final Projects. The system uses a listing of bibliographical subjects which ...
    • Sistema y método para el recubrimiento con elastómeros y fluoropolímeros de piezas y soportes metálicos 

      Trujillo Flores, Eduardo; Castro Triguero, Rafael; Vázquez Serrano, Francisco J.; Guerrero-Vaca, G. (Oficina de Transferencia de Resultados de la Investigación, 2011)
      El objeto de la invención es un método y un sistema para gobernar un robot industrial para aplicar recubrimientos del tipo antiadherente mediante elastómeros o fluoropolímeros en piezas y soportes metálicos, especialmente ...