Publicaciones (191) Publicaciones de Pablo García Bringas

2024

  1. Deep learning applications on cybersecurity: A practical approach

    Neurocomputing, Vol. 563

  2. Editorial: Special issue CISIS 2021

    Logic Journal of the IGPL

  3. Fractional-order model identification based on the process reaction curve: A unified framework for chemical processes

    Results in Engineering, Vol. 21

  4. Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and Insights

    Technologies, Vol. 12, Núm. 1

2023

  1. A New Fractional Reduced-Order Model-Inspired System Identification Method for Dynamical Systems

    IEEE Access, Vol. 11, pp. 103214-103231

  2. A Novel Control Hardware Architecture for Implementation of Fractional-Order Identification and Control Algorithms Applied to a Temperature Prototype

    Mathematics, Vol. 11, Núm. 1

  3. A Theoretical Framework for Supporting Clustering Validation via Non-Negative-Matrix-Factorization Trace Sequences Over Probabilistic Spaces

    2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

  4. An Objective Metallographic Analysis Approach Based on Advanced Image Processing Techniques

    Journal of Manufacturing and Materials Processing, Vol. 7, Núm. 1

  5. Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis

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

  6. Bytecode-Based Android Malware Detection Applying Convolutional Neural Networks

    Lecture Notes in Networks and Systems

  7. Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise

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

  8. Let's do it right the first time: Survey on security concerns in the way to quantum software engineering

    Neurocomputing, Vol. 538

  9. Preface

    Lecture Notes in Networks and Systems

  10. Preface

    Lecture Notes in Networks and Systems

  11. Preface

    Lecture Notes in Networks and Systems

  12. Preface

    Lecture Notes in Networks and Systems

  13. Preface

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

  14. Preface

    Lecture Notes in Networks and Systems

  15. Probability Density Function for Clustering Validation

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

  16. Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset

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