Publicaciones (137) Publicaciones de ALBERTO LUIS FERNÁNDEZ HILARIO

2024

  1. Assessing the complementary information from an increased number of biologically relevant features in liquid biopsy-derived RNA-Seq data

    Heliyon, Vol. 10, Núm. 6

2023

  1. A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research

    Information Fusion

  2. Application of percentile color intensities of borehole images for automatic fluorite grade assessment

    Ore Geology Reviews, Vol. 163

  3. Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection

    International Journal of Molecular Sciences, Vol. 24, Núm. 5

  4. Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding

    IEEE Transactions on Fuzzy Systems, Vol. 31, Núm. 9, pp. 3069-3080

  5. Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists

    IEEE Reviews in Biomedical Engineering, Vol. 16, pp. 192-207

  6. Opacity, Machine Learning and Explainable AI

    International Library of Ethics, Law and Technology (Springer Science and Business Media B.V.), pp. 39-58

  7. Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

    International Journal of Mining Science and Technology, Vol. 33, Núm. 5, pp. 555-571

2022

  1. A New Exploitation Scheme in the Context of Bipolar Classifiers

    Studies in Computational Intelligence

  2. An efficiency curve for evaluating imbalanced classifiers considering intrinsic data characteristics: Experimental analysis

    Information Sciences, Vol. 608, pp. 1131-1156

  3. Digital multiplexed analysis of circular RNAs in FFPE and fresh non-small cell lung cancer specimens

    Molecular Oncology, Vol. 16, Núm. 12, pp. 2367-2383

  4. FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification

    Pattern Recognition, Vol. 124

  5. IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data

    IEEE Transactions on Fuzzy Systems, Vol. 30, Núm. 3, pp. 830-840

  6. Multiplex Analysis of CircRNAs from Plasma Extracellular Vesicle-Enriched Samples for the Detection of Early-Stage Non-Small Cell Lung Cancer

    Pharmaceutics, Vol. 14, Núm. 10

  7. On the joint-effect of class imbalance and overlap: a critical review

    Artificial Intelligence Review, Vol. 55, Núm. 8, pp. 6207-6275

  8. The impact of heterogeneous distance functions on missing data imputation and classification performance

    Engineering Applications of Artificial Intelligence, Vol. 111

2021

  1. FDR2-BD: A fast data reduction recommendation tool for tabular big data classification problems

    Electronics (Switzerland), Vol. 10, Núm. 15

  2. Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies

    Neurocomputing, Vol. 463, pp. 514-524

  3. Preface

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

  4. Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect

    Knowledge and Information Systems, Vol. 63, Núm. 7, pp. 1961-1989