Now showing items 1-16 of 16

    • Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos basados en Web 

      Romero Morales, C.; Ventura Soto, S.; Castro Lozano, Carlos de; García, Enrique (Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2005)
      Este artículo muestra la utilización de los algoritmos evolutivos para el descubrimiento de reglas de predicción que se utilizarán en la mejora de Cursos Hipermedia Adaptativos basados en Web. Se ha desarrollado una ...
    • An Automatic Programming ACO-Based Algorithm for Classification Rule Mining 

      Olmo, J.L.; Luna, J.M.; Romero, J.R.; Ventura Soto, S. (2017-01-20)
      In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a context-free grammar that properly guides ...
    • An intruder detection approach based on infrequent rating pattern mining 

      Luna, J.M.; Ramírez, A.; Romero, J.R.; Ventura Soto, S. (2014-02-26)
    • A Classification Module for Genetic Programming Algorithms in JCLEC 

      Cano, Alberto; Luna, J.M.; Zafra, Amelia; Ventura Soto, S. (MIT Press, 2014)
      JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ...
    • Classification Rule Mining with Iterated Greedy 

      Pedraza, Juan A.; García-Martínez, Carlos; Cano, Alberto; Ventura Soto, S. (2017-03-30)
      In the context of data mining, classi cation rule discovering is the task of designing accurate rule based systems that model the useful knowledge that di erentiate some data classes from others, and is present in large ...
    • Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA! 

      Romero Morales, C.; Ventura Soto, S.; Hervás-Martínez, César; Rider, Isaac; Martín-Palomo, Santiago (Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2006)
      En este artículo presentamos Test Editor, una herramienta autor para la construcción de test informatizados, tanto clásicos como adaptativos, a través del Web. Esta herramienta facilita el desarrollo y mantenimiento de ...
    • 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 ...
    • 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. ...
    • 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 ...
    • Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels 

      Cano, Alberto; Ventura Soto, S.; Cios, Krzysztof J. (2017-01-19)
      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 ...
    • 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 ...
    • Sistemas de evaluación de los alumnos mediante test informatizados utilizando telefonía móvil 

      Gálvez Espinal, C.; Ventura Soto, S.; Romero Morales, C. (Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2007)
      This paper describes a system for executing adaptive tests in mobile devices. Tests are generated in XML files using Test Editor that is a author tool integrated in AHA! system. These tests are interpreted by our system ...
    • Speeding Up Evolutionary Learning Algorithms using GPUs 

      Cano, Alberto; Zafra, Amelia; Ventura Soto, S. (ESTYLF, 2010)
      This paper propose a multithreaded Genetic Programming classi cation evaluation model using NVIDIA CUDA GPUs to reduce the computational time due to the poor perfor- mance in large problems. Two di erent clas- si ...
    • Speeding up Multiple Instance Learning Classification Rules on GPUs 

      Cano, Alberto; Zafra, Amelia; Ventura Soto, S. (2017-01-19)
      Multiple instance learning is a challenging task in supervised learning and data mining. How- ever, algorithm performance becomes slow when learning from large-scale and high-dimensional data sets. Graphics processing ...
    • ur-CAIM: Improved CAIM Discretization for Unbalanced and Balanced Data 

      Cano, Alberto; Nguyen, Dat T.; Ventura Soto, S.; Cios, Krzysztof J. (2015-10-15)
      Supervised discretization is one of basic data preprocessing techniques used in data mining. CAIM (Class- Attribute InterdependenceMaximization) is a discretization algorithm of data for which the classes are known. ...