Publications in collaboration with researchers from De Montfort University (19)

2025

  1. A transformer-based hierarchical learning model for the detection of cybersecurity threats

    Progress in Artificial Intelligence

  2. Application of spiking neural networks and traditional artificial neural networks for solar radiation forecasting in photovoltaic systems in Arab countries

    Neural Computing and Applications, Vol. 37, Núm. 15, pp. 9095-9127

  3. Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer

    Life, Vol. 15, Núm. 2

  4. Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations

    Information Fusion, Vol. 123

  5. Trustworthy and explainable federated system for extracting descriptive rules in a data streaming environment

    Results in Engineering, Vol. 25

2024

  1. Optimization of Transport Routes Through a Social Interaction Algorithm-Based Application

    Lecture Notes in Networks and Systems

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