Publicaciones en las que colabora con ISAAC TRIGUERO VELÁZQUEZ (51)

2024

  1. General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

    Information Fusion, Vol. 103

2021

  1. Decomposition-Fusion for Label Distribution Learning

    Information Fusion, Vol. 66, pp. 64-75

  2. EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification

    Applied Soft Computing, Vol. 101

  3. Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities

    Neurocomputing

2020

  1. A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  2. Chi-BD-DRF: Design of scalable fuzzy classifiers for big data via a dynamic rule filtering approach

    IEEE International Conference on Fuzzy Systems

  3. Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 5, pp. 874-886

  4. Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data

    IEEE Access, Vol. 8, pp. 87918-87928

2019

  1. Guest Editorial: Computational Intelligence for Big Data Analytics

    Cognitive Computation

  2. Instance reduction for one-class classification

    Knowledge and Information Systems, Vol. 59, Núm. 3, pp. 601-628

  3. Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 9, Núm. 2

2018

  1. A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

  2. A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification

    IEEE International Conference on Fuzzy Systems

  3. On the use of convolutional neural networks for robust classification of multiple fingerprint captures

    International Journal of Intelligent Systems, Vol. 33, Núm. 1, pp. 213-230

  4. Un enfoque aproximado para acelerar el algoritmo de clasificación Fuzzy kNN para Big Data

    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. A first attempt on global evolutionary undersampling for imbalanced big data

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  2. Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

    Knowledge-Based Systems, Vol. 126, pp. 91-103

  3. Exact fuzzy k-nearest neighbor classification for big datasets

    IEEE International Conference on Fuzzy Systems

  4. 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

  5. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data

    Knowledge-Based Systems, Vol. 117, pp. 3-15