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Dr Xiaowei Gu

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  1. 2020
  2. Published

    Human action recognition using deep rule-based classifier

    Bux, A., Gu, X., Angelov, P. & Habib, Z., 1/11/2020, In : Multimedia Tools and Applications. 79, 41-42, p. 30653-30667 15 p.

    Research output: Contribution to journal › Journal article

  3. Published

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

    Gu, X., 1/10/2020, In : Information Sciences. 535, p. 204-224 21 p.

    Research output: Contribution to journal › Journal article

  4. Published

    A deep convolutional neural network-based approach for superficial dorsal hand vein pattern matching

    Gu, X., Williams, B. & Black, S., 14/09/2020.

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

  5. Published

    H-Unique - In search of uniqueness - harnessing anatomical hand variation

    Williams, B., Gu, X. & Black, S., 14/09/2020.

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

  6. Published

    Autonomous Learning Multiple-Model Zero-Order Classifier for Heart Sound Classification

    Almeida Soares, E., Angelov, P. P. & Gu, X., 1/09/2020, In : Applied Soft Computing. 94, 9 p., 106449.

    Research output: Contribution to journal › Journal article

  7. Published

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

    Gu, X., Khan, M., Angelov, P., Tiwary, B., Shafipour Yourdshahi, E. & Yang, Z., 26/08/2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, p. 1-10 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  8. Published

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

    Gu, X., Angelov, P. & Almeida Soares, E., 1/06/2020, In : International Journal of Intelligent Systems. 35, 6, p. 923-943 21 p.

    Research output: Contribution to journal › Journal article

  9. E-pub ahead of print

    Highly interpretable hierarchical deep rule-based classifier

    Gu, X. & Angelov, P., 20/04/2020, In : Applied Soft Computing. 92

    Research output: Contribution to journal › Journal article

  10. 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 journal › Journal article

  11. 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 journal › Journal article

  12. 2019
  13. 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 journal › Journal article

  14. 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 journal › Journal article

  15. 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 › Journal article

  16. 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

  17. 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

  18. 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

  19. 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 › Journal article

  20. 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 › Journal article

  21. 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)

  22. 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

  23. 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)

  24. 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)

  25. 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/ISSN › Chapter (peer-reviewed)

  26. 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/ISSN › Chapter (peer-reviewed)

  27. 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/ISSN › Chapter (peer-reviewed)

  28. 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/ISSN › Chapter (peer-reviewed)

  29. 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/ISSN › Chapter (peer-reviewed)

  30. 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/ISSN › Chapter (peer-reviewed)

  31. 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/ISSN › Chapter (peer-reviewed)

  32. Published

    Data Partitioning—Empirical Approach

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 175-198 24 p. (Studies in Computational Intelligence; vol. 800).

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

  33. Published

    Empirical Approach to Machine Learning

    Angelov, P. P. & Gu, X., 2019, Cham: Springer International Publishing. 437 p. (Studies in Computational Intelligence; vol. 800)

    Research output: Book/Report/Proceedings › Book

  34. Published

    Empirical Fuzzy Sets and Systems

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 135-155 21 p. (Studies in Computational Intelligence; vol. 800).

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

  35. Published

    Epilogue: Studies in Computational Intelligence

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 341-346 6 p. (Studies in Computational Intelligence; vol. 800).

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

  36. Published

    Introduction

    Angelov, P. P. & Gu, X., 2019, Empirical Approach to Machine Learning. Angelov, P. & Gu, X. (eds.). Springer-Verlag, Vol. 800. p. 1-14 14 p. (Studies in Computational Intelligence; vol. 800).

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

  37. Published

    Transparent 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. 223-245 23 p. (Studies in Computational Intelligence; vol. 800).

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

  38. 2018
  39. Published

    Foreign Currency Exchange Rate Prediction using Neuro-Fuzzy Systems

    Yong, Y. L., Lee, Y., Gu, X., Angelov, P. P., Ling Ngo, D. C. & Shafipour Yourdshahi, E., 1/12/2018, Procedia Computer Science. Elsevier, Vol. 144. p. 232-238 7 p. (Procedia Computer Science; vol. 144).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  40. Published

    A Deep Rule-based Approach for Satellite Scene Image Analysis

    Gu, X. & Angelov, P. P., 7/10/2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 2778-2783 6 p. (2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  41. Published

    A Generalized Methodology for Data Analysis

    Angelov, P. P., Gu, X. & Principe, J., 10/2018, In : IEEE Transactions on Cybernetics. 48, 10, p. 2981-2993 13 p.

    Research output: Contribution to journal › Journal article

  42. Published

    Deep rule-based classifier with human-level performance and characteristics

    Angelov, P. P. & Gu, X., 10/2018, In : Information Sciences. 463-464, p. 196-213 18 p.

    Research output: Contribution to journal › Journal article

  43. Published

    Stability of Evolving Fuzzy Systems based on Data Clouds

    Rong, H., Angelov, P. P., Gu, X. & Bai, J., 10/2018, In : IEEE Transactions on Fuzzy Systems. 26, 5, p. 2774-2784 11 p.

    Research output: Contribution to journal › Journal article

  44. Published

    Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals

    Qiang, F., Zhao, Z., Gu, X. & Jiang, X., 4/09/2018, In : International Journal of Circuits, Systems and Signal Processing. 13, p. 259-265 7 p.

    Research output: Contribution to journal › Journal article

  45. Published

    A Method for Autonomous Data Partitioning

    Gu, X., Angelov, P. P. & Principe, J., 09/2018, In : Information Sciences. 460-461, p. 65-82 18 p.

    Research output: Contribution to journal › Journal article

  46. Published

    Towards Anthropomorphic Machine Learning

    Angelov, P. P. & Gu, X., 09/2018, In : IEEE Computer. 51, 9, p. 18-27 10 p.

    Research output: Contribution to journal › Journal article

  47. Published

    Autonomous learning multi-model systems from data streams

    Angelov, P. P., Gu, X. & Principe, J., 1/08/2018, In : IEEE Transactions on Fuzzy Systems. 26, 4, p. 2213-2224 12 p.

    Research output: Contribution to journal › Journal article

  48. Published

    Semi-supervised deep rule-based approach for image classification

    Gu, X. & Angelov, P. P., 07/2018, In : Applied Soft Computing. 68, p. 53-68 16 p.

    Research output: Contribution to journal › Journal article

  49. Published

    Self-Organising Fuzzy Logic Classifier

    Gu, X. & Angelov, P. P., 06/2018, In : Information Sciences. 447, p. 36-51 16 p.

    Research output: Contribution to journal › Journal article

  50. Published

    A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes

    Gu, X., Angelov, P. P., Zhang, C. & Atkinson, P. M., 03/2018, In : IEEE Geoscience and Remote Sensing Letters. 15, 3, p. 345-349 5 p.

    Research output: Contribution to journal › Journal article

  51. Published

    Empirical Fuzzy Sets

    Angelov, P. P. & Gu, X., 02/2018, In : International Journal of Intelligent Systems. 33, 2, p. 362-395 34 p.

    Research output: Contribution to journal › Journal article

  52. Published

    Self-organised direction aware data partitioning algorithm

    Gu, X., Angelov, P. P., Kangin, D. & Principe, J., 01/2018, In : Information Sciences. 423, p. 80-95 16 p.

    Research output: Contribution to journal › Journal article

  53. Published

    Self-organising transparent learning system

    Gu, X., 2018, Lancaster University. 254 p.

    Research output: Thesis › Doctoral Thesis

  54. 2017
  55. Published

    Empirical data analytics

    Angelov, P. P., Gu, X. & Kangin, D., 12/2017, In : International Journal of Intelligent Systems. 32, 12, p. 1261-1284 24 p.

    Research output: Contribution to journal › Journal article

  56. Published

    A cascade of deep learning fuzzy rule-based image classifier and SVM

    Angelov, P. P. & Gu, X., 5/10/2017, Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on: Human Intelligence for Systems and Cybernetics. IEEE, p. 746-751 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  57. Published

    A new type of distance metric and its use for clustering

    Gu, X., Angelov, P. P., Kangin, D. & Principe, J., 09/2017, In : Evolving Systems. 8, 3, p. 167-177 11 p.

    Research output: Contribution to journal › Journal article

  58. Published

    MICE: Multi-layer multi-model images classifier ensemble

    Angelov, P. P. & Gu, X., 22/06/2017, The 3rd IEEE International Conference on Cybernetics. IEEE, p. 436-443 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  59. Published

    Autonomous anomaly detection

    Gu, X. & Angelov, P. P., 31/05/2017, IEEE Conference on Evolving and Adaptive Intelligent Systems. p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  60. Published

    Autonomous Learning Multi-Model Classifier of 0-Order (ALMMo-0)

    Angelov, P. P. & Gu, X., 31/05/2017, IEEE Conference on Evolving and Adaptive Intelligent Systems 2017. p. 1-7 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  61. Published

    Fast feedforward non-parametric deep learning network with automatic feature extraction

    Angelov, P. P., Gu, X. & Principe, J., 14/05/2017, p. 534-541. 8 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper

  62. Published

    Cybernetics of the mind: learning individual's perceptions autonomously

    Angelov, P. P., Gu, X., Iglesias, J., Ledezma, A., Sanchis, A., Sipele, O. & Ramezani, R., 04/2017, In : IEEE Systems, Man, and Cybernetics Magazine. 3, 2, p. 6-17 12 p.

    Research output: Contribution to journal › Journal article

  63. 2016
  64. Published

    Local modes-based free-shape data partitioning

    Angelov, P. P. & Gu, X., 9/12/2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  65. Published

    Parallel computing TEDA for high frequency streaming data clustering

    Gu, X., Angelov, P. P., Gutierrez, G., Iglesias, J. A. & Sanchi, A., 23/10/2016, Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Angelov, P., Manolopoulos, Y., Iliadis, L., Roy, A. & Vellasco, M. (eds.). Cham: Springer, p. 238-253 16 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  66. Published

    Autonomous data-driven clustering for live data stream

    Gu, X. & Angelov, P. P., 9/10/2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016). IEEE, p. 1128-1135 8 p. 1303

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  67. Published

    Empirical data analysis: a new tool for data analytics

    Angelov, P. P., Gu, X., Principe, J. & Kangin, D., 9/10/2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 52-59 8 p. 1008

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  68. Published

    Detecting anomalous behaviour using heterogeneous data

    Mohd Ali, A., Angelov, P. P. & Gu, X., 7/09/2016, Advances in Computational Intelligence Systems: Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). Springer, p. 253-276 24 p. (Advances in Intelligent Systems and Computing; vol. 513).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  69. Published

    Autonomous data density based clustering method

    Angelov, P. P., Gu, X., Gutierrez, G., Iglesias, J. A. & Sanchis, A., 24/07/2016, p. 2405-2413. 9 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper

  70. Published

    Online evolving fuzzy rule-based prediction model for high frequency trading financial data stream

    Gu, X., Angelov, P. P., Mohd Ali, A., Gruver, W. A. & Gaydadjiev, G., 25/05/2016, Evolving and Adaptive Intelligent Systems (EAIS), 2016 IEEE Conference on. IEEE, p. 169-175 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

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