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  1. A Graph Kernel based on Jensen-Shannon Representation

    Bai, L., Zhang, Z. & Hancock, E. R., 2015, International Joint Conference on Artificial Intelligence (IJCAI). 8 p.

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

  2. A Multi-agent Framework for Dependable Adaptation of Evolving System Architectures

    Johnson, K. H. A., Sinha, R., Calinescu, R. & Ruan, J., 2015, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE, p. 159-166

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

  3. A Scalable, Correct Time-stamped Stack

    Dodds, M., Haas, A. & Kirsch, C. M., 2015, Proceedings of the 42th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages.. ACM, 14 p.

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

  4. An Aligned Subtree Kernel for Weighted Graphs

    Bai, L., Rossi, L. & Hancock, E. R., 2015, International Conference on Machine Learning (ICML) 2015. Vol. 37. p. 30-39 10 p.

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

  5. An Interval Algebra for Multiprocessor Resource Allocation

    Soares Indrusiak, L. & Dziurzanski, P., 20 Jul 2015, The International Conference on Systems, Architectures, Modeling and Simulation (SAMOS). Soudris, D. & Carro, L. (eds.). 8 p.

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

  6. Automatically improving SAT encoding of constraint problems through common subexpression elimination in Savile Row

    Nightingale, P., Spracklen, P. & Miguel, I. J., 1 Oct 2015, Principles and Practice of Constraint Programming: 21st International Conference, CP 2015, Cork, Ireland, August 31 -- September 4, 2015, Proceedings. Pesant, G. (ed.). Netherlands: SPRINGER, Vol. 9255. p. 330-340 11 p. (Lecture Notes in Computer Science).

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

  7. Bayesian spatial NBDA for diffusion data with home-base coordinates

    Nightingale, G. F., Laland, K. N., Hoppitt, W. J. E. & Nightingale, P., 2 Jul 2015

    Article in PLoS ONE

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