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Dr Xiaowei Gu

Senior Research Associate

  1. 2020
  2. Forthcoming

    A Self-Training Hierarchical Prototype-Based Approach for Semi-Supervised Classification

    Gu, X., 9/05/2020, (Accepted/In press) In : Information Sciences.

    Research output: Contribution to journalJournal article

  3. E-pub ahead of print

    Multi-Layer Ensemble Evolving Fuzzy Inference System

    Gu, X., 20/04/2020, In : IEEE Transactions on Fuzzy Systems.

    Research output: Contribution to journalJournal article

  4. Forthcoming

    Highly interpretable hierarchical deep rule-based classifier

    Gu, X. & Angelov, P., 17/04/2020, (Accepted/In press) In : Applied Soft Computing.

    Research output: Contribution to journalJournal article

  5. Forthcoming

    A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion

    Gu, X., Khan, M., Angelov, P., Tiwary, B., Shafipour Yourdshahi, E. & Yang, Z., 20/03/2020, (Accepted/In press) IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  6. E-pub ahead of print

    A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

    Gu, X., Angelov, P. & Almeida Soares, E., 23/02/2020, In : International Journal of Intelligent Systems. 35, 6, p. 923-943 21 p.

    Research output: Contribution to journalJournal article

  7. E-pub ahead of print

    Particle Swarm Optimized Autonomous Learning Fuzzy System

    Gu, X., Shen, Q. & Angelov, P., 20/02/2020, In : IEEE Transactions on Cybernetics. 12 p.

    Research output: Contribution to journalJournal article

  8. 2019
  9. Published

    A Hierarchical Prototype-Based Approach for Classification

    Gu, X. & Ding, W., 1/12/2019, In : Information Sciences. 505, p. 325-351 27 p.

    Research output: Contribution to journalJournal article

  10. Published

    Local Optimality of Self-Organising Neuro-Fuzzy Inference Systems

    Gu, X., Angelov, P. P. & Rong, H., 30/11/2019, In : Information Sciences. 503, p. 351-380 30 p.

    Research output: Contribution to journalJournal article

  11. Published

    A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

    Gu, X., Angelov, P. P. & Soares, E. A., 25/11/2019, In : arXiv.

    Research output: Contribution to journalJournal article

  12. Published

    An Odometer-Free Approach for Unmanned Ground-Based Vehicle Simultaneous Localization and Mapping

    Gu, X., Angelov, P. & Khan, M., 26/10/2019.

    Research output: Contribution to conference - Without ISBN/ISSN Abstract

  13. Published

    Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor

    Gu, X. & Angelov, P. P., 30/09/2019, 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 7 p. 8851838

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  14. Published

    A Semi-Supervised Deep Rule-Based Approach for Remote Sensing Scene Classication

    Gu, X. & Angelov, P. P., 3/04/2019, The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference. Springer, p. 257-266 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  15. Published

    A Distance-Type-Insensitive Clustering Approach

    Gu, X., Angelov, P. P. & Zhao, Z., 1/04/2019, In : Applied Soft Computing. 77, p. 622-634 13 p.

    Research output: Contribution to journalJournal article

  16. Published

    Self-boosting first-order autonomous learning neuro-fuzzy systems

    Gu, X. & Angelov, P. P., 1/04/2019, In : Applied Soft Computing. 77, p. 118-134 17 p.

    Research output: Contribution to journalJournal article

  17. Published

    Empirical Approach—Introduction

    Angelov, P. P. & Gu, X., 1/01/2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Cham: Springer-Verlag, p. 103-133 31 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  18. Published

    Preface

    Angelov, P. P. & Gu, X., 1/01/2019, Empirical Approach to Machine Learning. Cham: Springer, p. xv-xviii 4 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNOther chapter contribution

  19. Published

    Anomaly Detection—Empirical Approach

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. P. & Gu, X. (eds.). Cham: Springer, p. 157-173 17 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  20. Published

    Applications of Autonomous Anomaly Detection

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 249-259 11 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  21. Published

    Applications of Autonomous Data Partitioning

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 261-276 16 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  22. Published

    Applications of Autonomous Learning Multi-model Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 277-293 17 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  23. Published

    Applications of Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 295-319 25 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  24. Published

    Applications of Semi-supervised Deep Rule-Based Classifiers

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 321-340 20 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  25. Published

    Autonomous Learning Multi-model Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 199-222 24 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  26. Published

    Brief Introduction to Computational Intelligence

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 69-99 31 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

  27. Published

    Brief Introduction to Statistical Machine Learning

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 17-67 51 p. (Studies in Computational Intelligence; vol. 800).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter (peer-reviewed)

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