Publicaciones en las que colabora con ANTONIO GONZÁLEZ MUÑOZ (45)

2024

  1. QChi: A Faster Classification Algorithm Based on Wang-Mendel Algorithm

    IEEE Transactions on Fuzzy Systems, Vol. 32, Núm. 4, pp. 2261-2271

2022

  1. A new multi-rules approach to improve the performance of the Chi fuzzy rule classification algorithm

    IEEE International Conference on Fuzzy Systems

  2. Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning

    Information Sciences, Vol. 612, pp. 514-535

  3. Efficient inference models for classification problems with a high number of fuzzy rules[Formula presented]

    Applied Soft Computing, Vol. 115

2020

  1. A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization

    IEEE International Conference on Fuzzy Systems

2019

  1. A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL

    IEEE International Conference on Fuzzy Systems

  2. An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models

    Cognitive Computation, Vol. 11, Núm. 3, pp. 347-366

  3. An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm

    Applied Soft Computing Journal, Vol. 78, pp. 13-28

  4. Reasoning methods in fuzzy rule-based classification systems for big data problems

    IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

2017

  1. Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets

    IEEE International Conference on Fuzzy Systems

2016

  1. Extensions of the DECO3R algorithm for generating compact and cooperating fuzzy rule-based classification systems

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

  2. On the use of an incremental approach to learn fuzzy classification rules for big data problems

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

  3. Ordinal classification based on the sequential covering strategy

    International Journal of Approximate Reasoning, Vol. 76, pp. 96-110

2015

  1. A set of complexity measures designed for applying meta-learning to instance selection

    IEEE Transactions on Knowledge and Data Engineering, Vol. 27, Núm. 2, pp. 354-367

  2. An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach

    International Journal of Approximate Reasoning, Vol. 67, pp. 37-58

  3. Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective

    Pattern Recognition, Vol. 48, Núm. 4, pp. 1523-1537

  4. Using a sequential covering strategy for discovering fuzzy rules incrementally

    IEEE International Conference on Fuzzy Systems

2014

  1. A feature construction approach for genetic iterative rule learning algorithm

    Journal of Computer and System Sciences

  2. On the use of meta-learning for instance selection: An architecture and an experimental study

    Information Sciences, Vol. 266, pp. 16-30

  3. Overview of the SLAVE learning algorithm: A review of its evolution and prospects

    International Journal of Computational Intelligence Systems, Vol. 7, Núm. 6, pp. 1194-1221