Publicaciones en colaboración con investigadores/as de Universidad de Burgos (25)

2024

  1. A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots

    Cybernetics and Systems, Vol. 55, Núm. 6, pp. 1357-1377

2021

  1. A Hybrid Intelligent System to Detect Anomalies in Robot Performance

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

  2. A Hybrid Intelligent System to Detect Anomalies in Robot Performance

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

  3. Advanced Oversampling for Improved Detection of Software Anomalies in a Robot

    Advances in Intelligent Systems and Computing

  4. Improving the detection of robot anomalies by handling data irregularities

    Neurocomputing, Vol. 459, pp. 419-431

  5. Neural Models to Predict Irrigation Needs of a Potato Plantation

    Advances in Intelligent Systems and Computing

  6. Preface

    Advances in Intelligent Systems and Computing

  7. Preface

    Advances in Intelligent Systems and Computing

  8. Preface

    Advances in Intelligent Systems and Computing

  9. Trends and Patterns of International Student Mobility: the Case of Bachelor’s Degrees in Computer Science at the University of Burgos

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

  10. Trends and patterns of international student mobility: The case of bachelor’s degrees in computer science at the University of Burgos

    Advances in Intelligent Systems and Computing

  11. Visually Monitoring the Performance of a Component-Based Robot

    16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (Springer), pp. 112-121

2020

  1. AI-driven Visualizations for Performance Monitoring and Anomaly Detection in Robots

    Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA

  2. Clustering and Regression to Impute Missing Values of Robot Performance

    Lecture Notes in Computer Science, pp. 86-94