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  1. A Binary Neural Shape Matcher using Johnson Counters and Chain Codes

    Hodge, V., O'Keefe, S. & Austin, J., 10 Mar 2006, BICS.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. A Comparison Framework for Spectrogram Track Detection Algorithms

    Lampert, T. & O'Keefe, S., 1 May 2009, Computer Recognition Systems . Kurzynski, M. & Wozniak, M. (eds.). Springer, Vol. 3. p. 119 126 p. (Advances in Intelligent and Soft Computing ; vol. 57/2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. A Multi-Scale Piecewise-Linear Feature Detector for Spectrogram Tracks

    Lampert, T., Pears, N. & O'Keefe, S., 2009, AVSS: 2009 6TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE. NEW YORK: IEEE, p. 330-335 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. A Tool for Development and Evaluation of Accessible Web 2.0 Applications

    Kervina, D., Pustisek, M., Ackermann, P., Velasco, C. A. & Power, C. D., 2012, 21st International Electrotechnical and Computer Science Conference. IEEE COMPUTER SOC, p. 89-92 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. A Verified Protocol to Implement Multi-way Synchronisation and Interleaving in CSP

    Oliveira, M. V. M., Júnior, I. S. D. M. & Woodcock, J., 2013, Software Engineering and Formal Methods : 11th International Conference, SEFM 2013, Madrid, Spain, September 25-27, 2013. Proceedings. Hierons, R. M., Merayo, M. G. & Bravetti, M. (eds.). SPRINGER, Vol. 8137. p. 46-60 15 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. A taxonomy of attacks on secure devices

    Rae, A. & Wildman, L., 2003, Proceedings of the Australia Information Warfare and Security Conference 2003. p. 251-264

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Active Contour Detection of Linear Patterns in Spectrogram Images

    Lampert, T. & O'Keefe, S., 2008, 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6. NEW YORK: IEEE, p. 3350-3353 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. An incremental verification framework for component-based software systems

    Johnson, K. H. A., Calinescu, R. C. & Kikuchi, S., 2013, CBSE '13 : Proceedings of the 16th International ACM Sigsoft symposium on Component-based software engineering. New York: ACM, p. 33-42 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Automatically Improving Constraint Models in Savile Row through Associative-Commutative Common Subexpression Elimination

    Nightingale, P., Akgun, O., Gent, I. P., Jefferson, C. & Miguel, I., 8 Sep 2014, Principles and Practice of Constraint Programming. Cham: SPRINGER, p. 590-605 16 p. (Lecture Notes in Computer Science; vol. 8656).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. Bayesian network learning by compiling to weighted MAX-SAT

    Cussens, J., 2008, Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI 2008). McAllester, D. & Myllymaki, P. (eds.). Corvallis, Oregon: AUAI Press, p. 105-112 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Bayesian network learning with cutting planes

    Cussens, J., 2011, Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011). Cozman, F. & Pfeffer, A. (eds.). Corvallis, Oregon: AUAI Press, p. 153-160 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Building Model-Driven Engineering Traceability

    Paige, R. F., Olsen, G. K., Kolovos, D., Zschaler, S. & Power, C. D., 2010, ECMDA Traceability Workshop (ECMDA-TW). Sintef, p. 49 1 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Chemical structure matching using correlation matrix memories

    Austin, J., Turner, A., Turner, M. & Lees, K., 1999, NINTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS (ICANN99), VOLS 1 AND 2. EDISON: IEEE, Vol. 2. p. 619-624 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  14. Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence

    Brys, T., Nowé, A., Kudenko, D. & Taylor, M., 2014, The 28th Conference of the American Association on Artificial Intelligence: AAAI 2014.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. Commute time for a gaussian wave packet on a graph

    Aziz, F., Wilson, R. C. & Hancock, E. R., 2014, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings. Springer-Verlag, Vol. 8621 LNCS. p. 374-383 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8621 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. Contracts in CML

    Woodcock, J. C. P., Cavalcanti, A. L. C., Fitzgerald, J., Foster, S. & Larsen, P. G., 2014, 6th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation. SPRINGER, p. 54-73 20 p. (Lecture Notes in Computer Science; vol. 8803).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  17. Critical Pairs in Term Graph Rewriting

    Plump, D., 1994, Proc. Mathematical Foundations of Computer Science (MFCS 1994). Springer, p. 556-566 (Lecture Notes in Computer Science; vol. 841).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  18. Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs

    Bai, L., Ren, P., Escolano, F. & Hancock, E. R., 2014, Proceedings of the 22nd International Conference on Pattern Recognition. IEEE Computer Society Press, 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Discriminating instance generation for automated constraint model selection

    Gent, I. P., Hussain, B. S., Jefferson, C., Kotthoff, L., Miguel, I., Nightingale, G. F. & Nightingale, P., 8 Sep 2014, Principles and Practice of Constraint Programming - 20th International Conference, CP 2014, Proceedings. Springer Verlag, p. 356-365 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Do games attract or sustain engagement in citizen science? A study of volunteer motivations

    Iacovides, I., Jennett, C., Cornish-Trestrail, C. & Cox, A. L., 1 Apr 2013, CHI '13 Extended Abstracts on Human Factors in Computing Systems. New York, USA: ACM, p. 1101-1106 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  21. Dynamic Potential-Based Reward Shaping

    Devlin, S. M. & Kudenko, D., Jun 2012, Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems. IFAAMAS, p. 433-440 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Empirical results from an evaluation of the accessibility of websites by dyslexic users

    Freire, A. P., Petrie, H. & Power, C. D., 2011, Proceedings of the Workshop on Accessible Design in the Digital World. p. 41-53 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  23. Entropic graph embedding via multivariate degree distributions

    Ye, C., Wilson, R. C. & Hancock, E. R., 1 Jan 2014, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings. Springer-Verlag, Vol. 8621 LNCS. p. 163-172 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8621 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  24. Extending the Associative Rule Chaining Architecture for Multiple Arity Rules

    Burles, N. J., Austin, J. & O'Keefe, S., 2013, Proceedings of the Ninth International Workshop on Neural-Symbolic Learning and Reasoning. p. 47-51 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  25. Extensible Automated Constraint Modelling

    Akgun, O., Miguel, I., Jefferson, C., Frisch, A. M. & Hnich, B., Aug 2011, Proceedings of theTwenty-Fifth AAAI Conference on Artificial Intelligence. San Francisco: AAAI Press, p. 4-11 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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