Publicaciones en colaboración con investigadores/as de De Montfort University (13)

2023

  1. A First Evolutionary Fuzzy Approach for Change Mining with Smart Bands

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

  2. A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

    International Journal of Computational Intelligence Systems, Vol. 16, Núm. 1

  3. A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

    Information Fusion, Vol. 91, pp. 412-423

  4. An Evolutionary Fuzzy System for Multiclustering in Data Streaming

    Procedia Computer Science

  5. Urinary Metabolic Distinction of Niemann–Pick Class 1 Disease through the Use of Subgroup Discovery

    Metabolites, Vol. 13, Núm. 10

2020

  1. E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

    Neurocomputing, Vol. 415, pp. 60-73

2019

  1. A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

    Cognitive Computation, Vol. 11, Núm. 3, pp. 400-417

2018

  1. A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy

    Knowledge-Based Systems, Vol. 139, pp. 89-100

  2. An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 1

  3. Improvement of subgroup descriptions in noisy data by detecting exceptions

    Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 55-64

2017

  1. A pareto-based ensemble with feature and instance selection for learning from multi-class imbalanced datasets

    International Journal of Neural Systems, Vol. 27, Núm. 6

2015

  1. A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans

    Information Sciences, Vol. 298, pp. 180-197

2013

  1. Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm

    Applied Soft Computing Journal, Vol. 13, Núm. 8, pp. 3439-3448