Publicaciones en las que colabora con MARÍA JOSÉ DEL JESÚS DÍAZ (12)

2018

  1. A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

    Information Fusion, Vol. 44, pp. 78-96

  2. A practical tutorial on autoencoders for nonlinear feature fusion: taxonomy, models, software and guidelines

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

2014

  1. Applying subgroup discovery based on evolutionary fuzzy systems for web usage mining in e-commerce: A case study on OrOlivesur.com

    Advances in Intelligent Systems and Computing

2012

  1. Subgroup discovery applied to the e-commerce website OrOliveSur.com

    ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems

  2. Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

    Expert Systems with Applications, Vol. 39, Núm. 12, pp. 11243-11249

2010

  1. Introduction to the experimental design in the data mining tool KEEL

    Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (IGI Global), pp. 1-25

2009

  1. KEEL: A software tool to assess evolutionary algorithms for data mining problems

    Soft Computing, Vol. 13, Núm. 3, pp. 307-318

2008

  1. A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

    Fuzzy Sets and Systems, Vol. 159, Núm. 18, pp. 2378-2398

  2. KEEL: A data mining software tool integrating genetic fuzzy systems

    2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS

2007

  1. A study on the use of the fuzzy reasoning method based on the winning rule vs. Voting procedure for classification with imbalanced data sets

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

  2. An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets

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