Publicaciones en colaboración con investigadores/as de King Abdulaziz University (13)

2019

  1. REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization

    Neurocomputing, Vol. 326-327, pp. 110-122

  2. Subgroup discovery on multiple instance data

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 1602-1612

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

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

  3. Mining context-aware association rules using grammar-based genetic programming

    IEEE Transactions on Cybernetics, Vol. 48, Núm. 11, pp. 3030-3034

  4. Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository

    Neurocomputing, Vol. 289, pp. 68-85

2016

  1. A View on Fuzzy Systems for Big Data: Progress and Opportunities

    International Journal of Computational Intelligence Systems, Vol. 9, pp. 69-80

2015

  1. Addressing imbalance in multilabel classification: Measures and random resampling algorithms

    Neurocomputing, Vol. 163, pp. 3-16

  2. MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

    Knowledge-Based Systems, Vol. 89, pp. 385-397

  3. Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges

    Knowledge-Based Systems, Vol. 80, pp. 109-121

2014

  1. Big Data with Cloud Computing: An insight on the computing environment, MapReduce, and programming frameworks

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 5, pp. 380-409

  2. LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 25, Núm. 10, pp. 1842-1854

  3. Overview on evolutionary subgroup discovery: Analysis of the suitability and potential of the search performed by evolutionary algorithms

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 2, pp. 87-103