Listar DIAN-Artículos, capítulos... por título

Mostrando ítems 99-118 de 197

    • Implantando métodos y técnicas profesionales en la enseñanza práctica. Aprendiendo por simulación 

      Luque Ruiz, Irene; Gómez-Nieto, Miguel Ángel (Consejo Social de la Universidad de Córdoba, 2010)

    • Improvement of small wind turbine control in the transition region 

      Ruz Ruiz, Mario L.; Garrido, J.; Fragoso, Sergio; Vázquez, Francisco (MDPI, 2020)
      Wind energy conversion systems are very challenging from the control system viewpoint. The control difficulties are even more challenging when wind turbines are able to operate at variable speed and variable pitch. The ...

    • Improving multiclass pattern recognition by the combination of two strategies 

      Ortiz-Boyer, Domingo; García-Pedrajas, Nicolás (IEEE, 2006)
      We present a new method of multiclass classification based on the combination of one- vs- all method and a modification of one- vs- one method. This combination of one- vs- all and one- vs- one methods proposed enforces ...

    • Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources 

      Chango, Wilson; Cerezo, Rebeca; Sánchez‑Santillán, Miguel; Azevedo, Roger; Romero Morales, C. (Springer, 2021)
      The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 ...

    • Improving spiking neural network performance with auxiliary learning 

      Cachi, Paolo G.; Ventura Soto, S.; Cios, Krzysztof (MDPI, 2023)
      The use of back propagation through the time learning rule enabled the supervised training of deep spiking neural networks to process temporal neuromorphic data. However, their performance is still below non-spiking neural ...

    • Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach 

      Trasierras, Antonio Manuel; Luna, J.M.; Ventura Soto, S. (Wiley, 2021)
      This paper presents an approach based on emerging pattern mining to analyse cancer through genomic data. Unlike existing approaches, mainly focused on predictive purposes, the proposal aims to improve the understanding of ...

    • Influence of Spinal Movements Associated with Physical Evaluation on Muscle Mechanical Properties of the Lumbar Paraspinal in Subjects with Acute Low Back Pain 

      Alcaraz-Clariana, Sandra; García-Luque, Lourdes; Garrido Castro, Juan Luis; Carmona-Pérez, Cristina; Rodrigues-de-Souza, Daiana Priscila; Fernández-de-las-Peñas, César; Alburquerque Sendín, Francisco (MDPI, 2022)
      This research aimed to identify changes in muscle mechanical properties (MMPs) when a standardized sequence of movements is performed and to determine the influence of acute low back pain (LBP) and age on the MMPs. ...

    • Instance selection for multi-label learning based on a scalable evolutionary algorithm 

      Romero-del-Castillo, Juan A.; Ortiz-Boyer, Domingo; García Pedrajas, Nicolás (IEEE, 2021)
      Multi-label classification has recently attracted greater research interest as a data mining task. Many current ap- plications in data mining address problems having instances that belong to more than one class, which ...

    • Integración de la aplicación informática Fonética 2.0 Sistema de composición y generación dinámica de animaciones en la docencia 

      Moyano Fernández, Valentín; Merino Archivet, Ramón; Fernández García, Nicolás Luis; Martínez Peinado, Manuel; Pavón Vázquez, Víctor (Consejo Social de la Universidad de Córdoba, 2010)

    • Interactive multi-objective evolutionary optimization of software architectures 

      Ramírez, Aurora; Romero, José Raúl; Ventura Soto, S. (Elsevier, 2018)
      While working on a software specification, designers usually need to evaluate different architectural alternatives to be sure that quality criteria are met. Even when these quality aspects could be expressed in terms of ...

    • Intérprete y depurador gráfico de pseudocódigo español para sistema operativo Linux 

      Morales Márquez, Rafael L.; Medina-Carnicer, R.; Fernández García, Nicolás Luis (Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2004)
      A pseudo code interpreter in Spanish has been developed in order to the students can learn the basic concepts of programming by means of running their own algorithms. This interpreter works on Linux operative system, which ...

    • JCLEC Meets WEKA! 

      Cano, Alberto; Luna, J.M.; Olmo Ortiz, Juan Luis; Ventura Soto, S. (2014-02-27)
      WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework ...

    • JCLEC-MO: A Java suite for solving many-objective optimization engineering problems 

      Ramírez, Aurora; Romero, José Raúl; García-Martínez, Carlos; Ventura Soto, S. (Elsevier, 2019)
      Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills. ...

    • Jewelry Recognition via Encoder-Decoder Models 

      Alcalde-Llergo, José M.; Yeguas-Bolívar, Enrique; Zingoni, Andrea; Fuerte-Jurado, Alejandro (IEEE, 2023)
      Jewelry recognition is a complex task due to the different styles and designs of accessories. Precise descriptions of the various accessories is something that today can only be achieved by experts in the field of ...

    • Keypoint descriptor fusion with Dempster-Shafer Theory 

      Mondéjar Guerra, Víctor Manuel; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Carmona Poyato, Ángel; Medina-Carnicer, R. (2017)
      Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and ...

    • LAIM discretization for multi-label data 

      Cano, Alberto; Luna, J.M.; Gibaja, Eva; Ventura Soto, S. (2017)
      Multi-label learning is a challenging task in data mining which has attracted growing attention in recent years. Despite the fact that many multi-label datasets have continuous features, general algorithms developed specially ...

    • Large-Scale Indoor Camera Positioning Using Fiducial Markers 

      García-Ruíz, Pablo; Romero Ramírez, Francisco J.; Muñoz-Salinas, Rafael; Marín-Jiménez, M.J.; Medina-Carnicer, R. (MDPI, 2024)
      Estimating the pose of a large set of fixed indoor cameras is a requirement for certain applications in augmented reality, autonomous navigation, video surveillance, and logistics. However, accurately mapping the positions ...

    • Librería para el procesamiento de señales digitales con computadora 

      Fernández García, Nicolás Luis; Carmona Poyato, Ángel; Medina-Carnicer, R. (Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2004)
      In this work the basic characteristics of the development and the functionality of a specific software are exposed for the teaching in any matter that includes among their contents the "digital signal processing". The ...

    • Local-based k values for multi-label k-nearest neighbors rule 

      Romero-del-Castillo, Juan A.; Mendoza-Hurtado, Manuel; Ortiz-Boyer, Domingo; García Pedrajas, Nicolás (Elsevier, 2022)
      Multi-label learning is a growing field in machine learning research. Many applications address instances that simultaneously belong to many categories, which cannot be disregarded if optimal results are desired. Among the ...

    • 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 ...