Publicaciones en las que colabora con Francisco Herrera Triguero (73)

2019

  1. A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

    Progress in Artificial Intelligence, Vol. 8, Núm. 1

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

    Neurocomputing, Vol. 360, pp. 1-13

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

2016

  1. A wrapper evolutionary approach for supervised multivariate discretization: A case study on decision trees

    Advances in Intelligent Systems and Computing

  2. DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases

    Information Fusion, Vol. 32, pp. 40-51

  3. Data discretization: Taxonomy and big data challenge

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 1, pp. 5-21

  4. Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data

    Knowledge-Based Systems, Vol. 106, pp. 251-263

  5. Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets

    Information Sciences, Vol. 329, pp. 144-163

  6. Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis

    Applied Soft Computing Journal, Vol. 38, pp. 10-22

  7. From Big Data to Smart Data with the K-Nearest Neighbours Algorithm

    Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016

  8. Managing monotonicity in classification by a pruned adaboost

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

  9. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification

    IEEE Transactions on Cybernetics, Vol. 46, Núm. 3, pp. 595-608

  10. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

    Knowledge-Based Systems, Vol. 98, pp. 1-29

2015

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

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

  2. A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

    Knowledge-Based Systems, Vol. 81, pp. 76-97

  3. A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

    Knowledge-Based Systems, Vol. 81, pp. 98-116

  4. A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation

    Information Sciences, Vol. 315, pp. 67-87

  5. An Interval Valued K-Nearest Neighbors Classifier

    PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY