Publicaciones en colaboración con investigadores/as de King Abdulaziz University (21)

2022

  1. Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 12, pp. 9549-9560

2021

  1. CommuniMents: A framework for detecting community based sentiments for events

    Research Anthology on Strategies for Using Social Media as a Service and Tool in Business (IGI Global), pp. 382-404

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

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

  2. CommuniMents: A framework for detecting community based sentiments for events

    International Journal on Semantic Web and Information Systems, Vol. 13, Núm. 2, pp. 87-108

  3. MoNGEL: monotonic nested generalized exemplar learning

    Pattern Analysis and Applications, Vol. 20, Núm. 2, pp. 441-452

  4. Prototype selection to improve monotonic nearest neighbor

    Engineering Applications of Artificial Intelligence, Vol. 60, pp. 128-135

2016

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

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

  2. Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms

    International Journal of Computational Intelligence Systems, Vol. 9, Núm. 1, pp. 184-201

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. METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems

    Information Sciences, Vol. 276, pp. 63-79