Publicaciones en colaboración con investigadores/as de De Montfort University (31)

2024

  1. DESReg: Dynamic Ensemble Selection library for Regression tasks

    Neurocomputing, Vol. 580

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. Analysis of Transformer Model Applications

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

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

    Metabolites, Vol. 13, Núm. 10

  7. XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

    Artificial Intelligence in Medicine, Vol. 137

  8. mldr.resampling: Efficient reference implementations of multilabel resampling algorithms

    Neurocomputing, Vol. 559

2022

  1. Analysis of clustering methods for crop type mapping using satellite imagery

    Neurocomputing, Vol. 492, pp. 91-106

2021

  1. A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops

    Advances in Intelligent Systems and Computing

  2. A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

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 feedback mechanism based on granular computing to improve consensus in GDM

    Studies in Fuzziness and Soft Computing (Springer Verlag), pp. 371-390

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

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

  3. 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

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

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

  5. Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology: Application to Eurobonds Credit Risk Evaluation

    International Journal of Intelligent Systems, Vol. 33, Núm. 5, pp. 1071-1088

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