Publicaciones en las que colabora con José Cristobal Riquelme Santos (34)

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. Low dimensionality or same subsets as a result of feature selection: An in-depth roadmap

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

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

2015

  1. Data cleansing meets feature selection: A supervised machine learning approach

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

2014

  1. Data mining methods applied to a digital forensics task for supervised machine learning

    Studies in Computational Intelligence, Vol. 555, pp. 413-428

  2. Deleting or Keeping Outliers for Classifier Training?

    2014 SIXTH WORLD CONGRESS ON NATURE AND BIOLOGICALLY INSPIRED COMPUTING (NABIC)

  3. Deleting or keeping outliers for classifier training?

    2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

  4. Tackling ant colony optimization meta-heuristic as search method in feature subset selection based on correlation or consistency measures

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

2013

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

    Neurocomputing, Vol. 114, pp. 107-117

2011

  1. 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)

2007

  1. Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes

    Environmental Geology, Vol. 53, Núm. 1, pp. 135-145

  2. Estimación y toma de decisiones mediante algoritmos evolutivos

    Técnicas cuantitativas para la gestión en la ingeniería del software (Oleiros (La Coruña) : Netbiblo, [2007), pp. 267-290

  3. Estimación y toma de decisiones mediante técnicas tradicionales y lógica borrosa

    Técnicas cuantitativas para la gestión en la ingeniería del software (Oleiros (La Coruña) : Netbiblo, [2007), pp. 223-243

2004

  1. Application of a KDD metodolocy to a real industrial process

    Soft Computing with Industrial Applications - Proceedings of the Sixth Biannual World Automation Congress

  2. Application of a KDD metodology to a real industrial process

    Soft Computing with Industrial Applications, Vol 17

  3. Applying data mining to software development projects: A case study

    ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems

  4. Data mining for the management of software development process

    International Journal of Software Engineering and Knowledge Engineering, Vol. 14, Núm. 6, pp. 665-695

  5. Estimación de variables en proyectos de desarrollo de software (PDS)

    Revista de procesos y métricas de las tecnologías de la información, Vol. 1, Núm. 2, pp. 3-12