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J. M. P. F. G. R. F. José Daniel García, Jesús Carretero, Specifying use case behavior with interaction models, Journal of Object Technology, vol. 4, no. 9, p. 16, 2005.
I. Juhos, Tóth, A., and van Hemert, J. I., Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring, in Springer Lecture Notes on Computer Science, 2005, p. 132--143.
I. Juhos, Tóth, A., and van Hemert, J. I., Binary Merge Model Representation of the Graph Colouring Problem, in Springer Lecture Notes on Computer Science, 2004, p. 124--134.
I. Juhos and van Hemert, J. I., Increasing the efficiency of graph colouring algorithms with a representation based on vector operations, Journal of Software, vol. 1, p. 24--33, 2006.
I. \'{a}n Juhos and van Hemert, J., Graph Colouring Heuristics Guided by Higher Order Graph Properties, in Lecture Notes in Computer Science, 2008, vol. 4972, p. 97--109.
I. Juhos and van Hemert, J. I., Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation, in Springer Lecture Notes on Computer Science, 2006, p. 123--134.
I. Juhos, Tóth, A., Tezuka, M., Tann, P., and van Hemert, J. I., A new permutation model for solving the graph k-coloring problem, in Kalmàr Workshop on Logic and Computer Science, 2003, p. 189--199.
I. Juhos and van Hemert, J. I., Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem, in Studies in Computational Intelligence, C. Cotta and van Hemert, J. I., Eds. Springer, 2008, p. 167--184.
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K. Karasavvas, Burger, A., and Baldock, R., A Multi-Agent Bioinformatics Integration System with Adjustable Autonomy, in Lecture Notes in Computer Science, 2002, vol. 2417, p. 492--501.
K. Karasavvas, Antonioletti, M., Atkinson, M., Hong, N. C., Sugden, T., Hume, A., Jackson, M., Krause, A., and Palansuriya, C., Introduction to OGSA-DAI Services, in Scientific Applications of Grid Computing, 2005, vol. 3458, p. 1--12.
K. Karasavvas, Burger, A., and Baldock, R., A Multi-Agent Bioinformatics Integration System with Adjustable Autonomy: An Overview, in Proceedings of the First International Conference on Autonomous Agents and Multi-Agent Systems, 2002, p. 302--303.
K. Karasavvas, Baldock, R., and Burger, A., A Criticality-Based Framework for Task Composition in Multi-Agent Bioinformatics Integration Systems, Bioinformatics, vol. 21, p. 3155--3163, 2005.
K. Karasavvas, Baldock, R., and Burger, A., Managing Transparency in Distributed Bioinformatics Systems, in European Media Lab Workshop on Management and Integration of Biochemical Data, 2000.
K. Karasavvas, Baldock, R., and Burger, A., Bioinformatics System Integration and Agent Technology, Journal of Biomedical Informatics, vol. 37, p. 205--219, 2004.
K. Karasavvas, Baldock, R., and Burger, A., Criticality-Based Task Composition in Distributed Bioinformatics Systems, in Proceedings of the Twelfth International Conference on Intelligent Systems for Molecular Biology, 2002.
M. Keijzer, Tettamanzi, A., Collet, P., van Hemert, J., and Tomassini, M., Genetic Programming, Proceedings of the 8th European Conference, Lecture Notes in Computer Science, vol. 3447. Springer, 2005.
R. R. Kitchen, Sabine, V. S., Sims, A. H., Macaskill, E. J., Renshaw, L., Thomas, J. S., van Hemert, J. I., Dixon, J. M., and Bartlett, J. M. S., Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles, BMC Genomics, vol. 11, no. 134, 2010.
R. R. Kitchen, Kubista, M., and Tichopad, A., Statistical aspects of quantitative real-time PCR experiment design, Methods, vol. 50, no. 4, pp. 231-236, 2010.
I. A. Klampanos and Jose, J. M., Searching in peer-to-peer networks , Computer Science Review (Elsevier), 2012.
J. Koetsier and van Hemert, J. I., Rapid development of computational science portals, in Proceedings of the IWPLS09 International Workshop on Portals for Life Sciences, Edinburgh, 2009.
J. Koetsier, Turner, A., Richardson, P., and van Hemert, J. I., Rapid chemistry portals through engaging researchers, in Fifth IEEE International Conference on e-Science, Oxford, UK, 2009, pp. 284-291.
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C. S. Liew, Optimisation of the enactment of fine-grained distributed data-intensive workflows. Edinburgh: The University of Edinburgh, 2012.
C. S. Liew, Atkinson, M. P., van Hemert, J., and Han, L., Towards Optimising Distributed Data Streaming Graphs using Parallel Streams, in Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing, Chicago, Illinois, 2010, pp. 725-736.
C. S. Liew, Atkinson, M. P., Ostrowski, R., Cole, M., van Hemert, J. I., and Han, L., Performance database: capturing data for optimizing distributed streaming workflows, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1949, pp. 3268-3284, 2011.
C. S. Liew, Krause, A., and Snelling, D., DISPEL Enactment, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Inc., 2013, pp. 251-273.

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