Publicaciones en colaboración con investigadores/as de Universidad de Jaén (39)

2024

  1. Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites

    Applied Soft Computing, Vol. 160

2021

  1. Enhancing instance-level constrained clustering through differential evolution

    Applied Soft Computing, Vol. 108

  2. ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism

    Swarm and Evolutionary Computation, Vol. 66

  3. Synthetic Sample Generation for Label Distribution Learning

    Information Sciences, Vol. 544, pp. 197-213

2020

  1. Agglomerative Constrained Clustering Through Similarity and Distance Recalculation

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

  2. DILS: Constrained clustering through dual iterative local search

    Computers and Operations Research, Vol. 121

  3. Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism

    GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference

  4. Similarity-based and Iterative Label Noise Filters for Monotonic Classification

    Proceedings of the Annual Hawaii International Conference on System Sciences

2019

  1. Label noise filtering techniques to improve monotonic classification

    Neurocomputing, Vol. 353, pp. 83-95

  2. Smartdata: Data preprocessing to achieve smart data in R

    Neurocomputing, Vol. 360, pp. 1-13

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

2016

  1. The influence of noise on the evolutionary fuzzy systems for subgroup discovery

    Soft Computing, Vol. 20, Núm. 11, pp. 4313-4330

2015

  1. A data mining software package including data preparation and reduction: Keel

    Intelligent Systems Reference Library, Vol. 72, pp. 285-313

  2. Data Preprocessing in Data Mining

    Intelligent Systems Reference Library, Vol. 72

  3. Data preparation basic models

    Intelligent Systems Reference Library, Vol. 72, pp. 39-57

  4. Data reduction

    Intelligent Systems Reference Library, Vol. 72, pp. 147-162

  5. Data sets and proper statistical analysis of data mining techniques

    Intelligent Systems Reference Library, Vol. 72, pp. 19-38

  6. Dealing with missing values

    Intelligent Systems Reference Library, Vol. 72, pp. 59-105

  7. Dealing with noisy data

    Intelligent Systems Reference Library, Vol. 72, pp. 107-145

  8. Discretization

    Intelligent Systems Reference Library, Vol. 72, pp. 245-283