Home > Research > Cyber Security Research Centre (Data) > Publications & Outputs
View graph of relations

Cyber Security Research Centre (Data)

  1. 2020
  2. Published

    Retrieving, Classifying and Analysing Narrative Commentary in Unstructured (Glossy) Annual Reports Published as PDF Files

    El Haj, M., Alves, P., Rayson, P., Walker, M. & Young, S., 1/01/2020, In : Accounting and Business Research. 50, 1, p. 6-34 29 p.

    Research output: Contribution to journalJournal article

  3. 2019
  4. Published

    Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios

    Almeida Soares, E., Angelov, P. P., Costa, B. S. J. & Castro, M., 30/09/2019, 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-8 8 p.

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

  5. 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

  6. Published

    Open Welsh Language Resources for a Corpus Annotation Framework

    Piao, S. S., Neale, S., Ezeani, I., Rayson, P. E., Knight, D. & Donnelly, K., 26/07/2019.

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

  7. Published

    Fool's Gold: Understanding the Linguistic Features of Deception and Humour Through April Fools’ Hoaxes

    Dearden, E. & Baron, A., 22/07/2019.

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

  8. Published

    A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation

    Saeed, A., Nawab, R. M. A., Stevenson, M. & Rayson, P. E., 1/05/2019, In : ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). 18, 4, 14 p., 40.

    Research output: Contribution to journalJournal article

  9. Published

    In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse

    El Haj, M., Rayson, P. E., Walker, M., Young, S. E. & Simaki, V., 30/04/2019, In : Journal of Business Finance and Accounting. 46, 3-4, p. 265-306 42 p.

    Research output: Contribution to journalJournal article

  10. 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

  11. 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

  12. 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

  13. Published

    Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology

    Sadeghi-Tehran, P., Angelov, P. P., Virlet, N. & Hawkesford, M., 1/03/2019, In : Journal of Imaging. 5, 3, p. 1-21 21 p., 33.

    Research output: Contribution to journalJournal article

  14. Published

    How best to Design Fuzzy Sets and Systems: In memory of Prof. Lotfi A. Zadeh

    Angelov, P. P., 23/02/2019, Fuzzy Logic and Applications: 12th International Workshop, WILF 2018, Genoa, Italy, September 6–7, 2018, Revised Selected Papers. Fullér, R., Giove, S. & Massulli, F. (eds.). Cham: Springer, p. 236-239 4 p. (Lecture Notes in Artificial Intelligence; vol. 11291).

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

  15. Forthcoming

    Fool’s Errand: Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour

    Dearden, E. & Baron, A., 22/02/2019, (Accepted/In press) 20th International Conference on Computational Linguistics and Intelligent Text Processing. Springer, 17 p.

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

  16. Published

    Multilingual Financial Narrative Processing: Analysing Annual Reports in English, Spanish and Portuguese

    El Haj, M., Rayson, P. E., Young, S. E., Alves, P. & Herrero Zorita, C., 02/2019, Multilingual Text Analysis: Challenges, Models, and Approaches. Litvak, M. & Vanetik, N. (eds.). World Scientific Publishing

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

  17. Published

    Towards Evolving Cooperative Mapping for Large-Scale UAV Teams

    Shafipour Yourdshahi, E., Angelov, P. P., Soriano Marcolino, L. & Tsianakas, G., 31/01/2019, 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, p. 2262-2269 8 p.

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

  18. 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)

  19. 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

  20. 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)

  21. 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)

  22. 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)

  23. 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)

  24. 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)

  25. 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)

  26. 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)

  27. 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)

  28. 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)

  29. 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/ISSNChapter (peer-reviewed)

  30. 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/ProceedingsBook

  31. 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/ISSNChapter (peer-reviewed)

  32. 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/ISSNChapter (peer-reviewed)

  33. 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/ISSNChapter (peer-reviewed)

  34. 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/ISSNChapter (peer-reviewed)

  35. 2015
  36. Published

    Spatializing and analyzing digital texts: Corpora, GIS, and places

    Gregory, I., Cooper, D., Hardie, A. & Rayson, P., 1/01/2015, Deep Maps and Spatial Narratives. Bodenhamer, D. J., Corrigan, J. & Harris, T. M. (eds.). Indiana University Press, p. 150-178 29 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Back to top