Publikationen, an denen er mitarbeitet Roberto Ruiz Sánchez (46)

2024

  1. Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

    Symmetry, Vol. 16, Núm. 6

2023

  1. Evolutionary feature selection on high dimensional data using a search space reduction approach

    Engineering Applications of Artificial Intelligence, Vol. 117

2021

  1. Earthquake Prediction in California Using Feature Selection Techniques

    16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) Advances in Intelligent Systems and Computing

2020

  1. Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning

    Pattern Analysis and Applications, Vol. 23, Núm. 1, pp. 467-491

2019

  1. Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems

    Neurocomputing, Vol. 353, pp. 28-44

2017

  1. Predicción de módulos defectuosos como un problema de optimización multiobjetivo

    Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017

  2. Predicción de módulos defectuosos como un problema de optimización multiobjetivo

    Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017

2016

  1. Accuracy increase on evolving product unit neural networks via feature subset selection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks

    Connection Science, Vol. 28, Núm. 3, pp. 242-257

2014

  1. Desarrollo de un proyecto integral de investigación durante los estudios de grado: caso práctico de un proyecto bioinformático en el grado de ingeniería informática

    I Seminario Iberoamericano de Innovación Docente de la Universidad Pablo de Olavide. (Universidad Pablo de Olavide)

2013

  1. A study of subgroup discovery approaches for defect prediction

    Information and Software Technology, Vol. 55, Núm. 10, pp. 1810-1822

  2. Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems

    Neurocomputing, Vol. 114, pp. 107-117

2012

  1. Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection

    Applied Soft Computing Journal, Vol. 12, Núm. 6, pp. 1787-1800

  2. Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches

    Expert Systems with Applications, Vol. 39, Núm. 12, pp. 11094-11102

  3. Prediction of mitochondrial matrix protein structures based on feature selection and fragment assembly

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Searching for rules to detect defective modules: A subgroup discovery approach

    Information Sciences, Vol. 191, pp. 14-30

2011

  1. A Two-phase heuristic construction of feature sets for classification

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

  2. Improving the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification by means of feature selection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Evolutionary q-gaussian radial basis functions for improving prediction accuracy of gene classification using feature selection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Feature selection applied to data from the sloan digital sky survey

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)