Publicaciones (31) Publicaciones de JOSE DAVID NUÑEZ GONZALEZ

2023

  1. Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants of BOSME and GAN

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

  2. Development of AI-Based Tools for Power Generation Prediction

    Computation, Vol. 11, Núm. 11

  3. First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data

    Lecture Notes in Networks and Systems

  4. SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction

    Sensors, Vol. 23, Núm. 5

2022

  1. Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning

    Scientific Reports, Vol. 12, Núm. 1

  2. Graph Based Learning for Building Prediction in Smart Cities

    IEEE Access, Vol. 10, pp. 45471-45484

  3. Reviewing and Discussing Graph Reduction in Edge Computing Context

    Computation, Vol. 10, Núm. 9

2021

  1. A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education

    Frontiers in Robotics and AI, Vol. 8

  2. Corrigendum: A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education, (Front. Robot. AI, (2021), 8, (715962), 10.3389/frobt.2021.715962)

    Frontiers in Robotics and AI

  3. Erratum: Enhancing Confusion Entropy (CEN) for binary and multiclass classification (PLoS ONE (2019) 14:1 (e0210264) DOI: 10.1371/journal.pone.0210264)

    PLoS ONE

  4. Introducing Active Methodologies in Renewable Energy Engineering Bachelor in Mathematical and Numerical Analysis Subject

    The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020)

  5. Introducing active methodologies in renewable energy engineering bachelor in mathematical and numerical analysis subject

    Advances in Intelligent Systems and Computing

  6. Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers

    Artificial Intelligence in Medicine, Vol. 115

2019

  1. Enhancing Confusion Entropy (CEN) for binary and multiclass classification

    PLoS ONE, Vol. 14, Núm. 1

  2. Enhancing confusion entropy as measure for evaluating classifiers

    Advances in Intelligent Systems and Computing

  3. Prelude of an Educational Innovation Project: Discussing a Redesign of the Continuous Assessment in Mathematics for Chemistry and Geology Bachelor Degree Students

    Advances in Intelligent Systems and Computing

  4. Semantically enhanced network analysis for influencer identification in online social networks

    Neurocomputing, Vol. 326-327, pp. 71-81

  5. Testing Modified Confusion Entropy as Split Criterion for Decision Trees

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  6. Testing Modified Confusion Entropy as Split Criterion for Decision Trees

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

  7. Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers

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