Publicaciones en las que colabora con SALVADOR GARCÍA LÓPEZ (158)

2024

  1. Metric learning for monotonic classification: turning the space up to the limits of monotonicity

    Applied Intelligence, Vol. 54, Núm. 5, pp. 4443-4466

2023

  1. Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization

    IEEE Transactions on Cybernetics, Vol. 53, Núm. 8, pp. 4735-4747

2022

  1. A Preliminary Approach for using Metric Learning in Monotonic Classification

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

2021

  1. A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges

    Neurocomputing, Vol. 425, pp. 300-322

  2. An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification

    IEEE Access, Vol. 9, pp. 85488-85499

  3. BELIEF: A distance-based redundancy-proof feature selection method for Big Data

    Information Sciences, Vol. 558, pp. 124-139

  4. Distance Metric Learning with Prototype Selection for Imbalanced Classification

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

  5. Distance Metric Learning with Prototype Selection for Imbalanced Classification

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

  6. Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise

    Neurocomputing, Vol. 439, pp. 106-121

  7. Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences

    2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021

  8. Ordinal regression with explainable distance metric learning based on ordered sequences

    Machine Learning, Vol. 110, Núm. 10, pp. 2729-2762

  9. SOUL: Scala Oversampling and Undersampling Library for imbalance classification

    SoftwareX, Vol. 15

2020

  1. A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

    Information Fusion, Vol. 64, pp. 205-237

  2. Big Data Preprocessing: Enabling Smart Data

    Springer International Publishing, pp. 1-186

  3. Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

    Cognitive Computation, Vol. 12, Núm. 5, pp. 897-939

  4. Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

    Information Fusion, Vol. 58, pp. 82-115

  5. Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 5, pp. 874-886

  6. Preprocessing methodology for time series: An industrial world application case study

    Information Sciences, Vol. 514, pp. 385-401

  7. Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review

    Swarm and Evolutionary Computation, Vol. 54

  8. pyDML: A python library for distance metric learning

    Journal of Machine Learning Research, Vol. 21