Search research publications and outputs

  1. 2014
  2. Outlier Detection in Big Data

    Wang, J. (ed.) & Hodge, V. J., 1 Apr 2014, Encyclopedia of Business Analytics and Optimization. Wang, J. (ed.). Hershey, PA: IGI Global, p. 1762-1771 10 p. (Encyclopedia of Business Analytics and Optimization).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  3. Incorporating scale invariance into the cellular associative neural network

    Burles, N., O'Keefe, S. & Austin, J., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag, Vol. 8681 LNCS. p. 435-442 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  4. 2013
  5. A Survey of Outlier Detection Methodologies

    Hodge, V. J. & Austin, J., 26 Sep 2013, Fundamentals of Regression Modeling. Babones, S. (ed.). (SAGE Benchmarks in Social Research Methods).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  6. Improving the associative rule chaining architecture

    Burles, N. J., O'Keefe, S. & Austin, J., 2013, Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 2013. Proceedings.. Mladenov, V., Palm, G., Appollini, B., Koprinkova-Hristova, P., Villa, A. & Kasabov, N. (eds.). Berlin: Springer-Verlag, Vol. 8131 LNCS. p. 98-105 8 p. (Lecture Notes in Computer Science; vol. 8131).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  7. 2012
  8. A Rule Chaining Architecture Using a Correlation Matrix Memory

    Austin, J., Hobson, S. J., Burles, N. J. & O'Keefe, S., 2012, Artificial Neural Networks and Machine Learning – ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. PART 1 ed. SPRINGER-VERLAG BERLIN, Vol. 7552. p. 49-56 (Lecture Notes in Computer Science; vol. 7552).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  9. Using Compositional Verification to Manage Change in Large-Scale Systems

    Calinescu, R. C., Kikuchi, S. & Johnson, K. H. A., 2012, Large-Scale Complex IT Systems - Development, Operation and Management. Vol. 7539.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  10. 2011
  11. An Information Theoretic Approach to Gender Feature Selection

    Zhang, Z., Hancock, E. R. & Wu, J., 2011, 2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS). NEW YORK: IEEE, p. - 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  12. Information Theoretic Methods for Learning Generative Models for Relational Structures

    Hancock, E. R., Han, L. & Wilson, R. C., 2011, 2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS). NEW YORK: IEEE, p. - 2 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  13. System Safety Engineering: The Benefits and Practicalities of Globalization

    McDermid, J. A., 2011, 29th International System Safety Conference Proceedings, Las Vegas, Nevada. 8-12 August 2011. The International System Safety Society

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  14. Tensor-based Total Bregman Divergences between Graphs

    Escolano, F., Liu, M. & Hancock, E. R., 2011, 2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS). NEW YORK: IEEE, p. - 8 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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