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Research

Dr Xiaowei Gu

Formerly at Lancaster University

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  1. 2019
  2. 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 Journal/Magazine › Journal article

  3. 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 › peer-review

  4. 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/ISSN › Conference contribution/Paper › peer-review

  5. 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/ISSN › Conference contribution/Paper › peer-review

  6. 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 Journal/Magazine › Journal article › peer-review

  7. 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 Journal/Magazine › Journal article › peer-review

  8. 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/ISSN › Chapter (peer-reviewed) › peer-review

  9. 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/ISSN › Other chapter contribution

  10. 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/ISSN › Chapter (peer-reviewed) › peer-review

  11. 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/ISSN › Chapter (peer-reviewed) › peer-review

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