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D
G. G. Castañè, Nuñez, A., Filgueira, R., and Carretero, J., Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications, in Procedia Computer Science, Proceedings of the International Conference on Computational Science, ICCS 2012, 2012.
K. Smith-Miles and {van Hemert}, J. I., Discovering the suitability of optimisation algorithms by learning from evolved instances, Annals of Mathematics and Artificial Intelligence, vol. Online Fir, 2011.
A. Mouat and Snelling, D., DISPEL Development, 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. 237-249.
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.
P. Martin and Yaikhom, G., DISPEL Reference Manual, in Advanced Data Mining and Integration Research for Europe (ADMIRE), 2011.
P. Martin, Dispel Tutorial, 2012.
M. P. Atkinson, van Hemert, J., Han, L., Hume, A., and Liew, C. S., A Distributed Architecture for Data Mining and Integration, in Data-Aware Distributed Computing (DADC'09), in conjunction with the 18th International Symposium on High Performance Distributed Computing, 2009, pp. 11-20.
D. Fergusson, Hopkins, R., Romano, D., Vander Meer, E., and Atkinson, M., Distributed Computing Education, Part 1: A Special Case?, IEEE Distributed Systems Online, vol. 9, no. 6, pp. 0806-o6002, 2008.
D. Fergusson, Hopkins, R., Romano, D., Vander Meer, E., and Atkinson, M., Distributed Computing Education, Part 2: International Summer Schools, IEEE Distributed Systems Online, vol. 9, no. 7, pp. 0807-o7002, 2008.
B. Low, Cassidy, K., Fergusson, D., Atkinson, M., Vander Meer, E., and McGeever, M., Distributed Computing Education, Part 3: The Winter School Online Experience, Distributed Systems Online, vol. 9, no. 9, p. 8, 2008.
D. Fergusson, Barbera, R., Giorgio, E., Fargetta, M., Sipos, G., Romano, D., Atkinson, M., and Vander Meer, E., Distributed Computing Education, Part 4: Training Infrastructure, Distributed Systems Online, vol. 9, no. 10, p. 6, 2008.
B. Low, Cassidy, K., Fergusson, D., Atkinson, M., Meer, E. V., and McGeever, M., Distributed Computing Education, Part 5: Coming to Terms with Intellectual Property Rights, Distributed Systems Online, vol. 9, no. 12, p. 6, 2008.
C. Suo and Han, L., The DWMM network traffic model, Journal of Communication, vol. 24, no. 5, p. 43~48, 2003.
J. I. van Hemert and la Poutré, J. A., Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation, in LNCS, Birmingham, UK, 2004, vol. 3242, p. 690--699.
R. Filgueira, Carretero, J., Singh, D. E., Calderón, A., and Nunez, A., Dynamic-CoMPI: Dynamic optimization techniques for MPI parallel applications., The Journal of Supercomputing., 2010.
E
P. Martin, Atkinson, M., Parsons, M., Carter, A., and Francis, G., EDIM1 Progress Report, 2011.
M. Atkinson, Vander Meer, E., Fergusson, D., and Artacho, M., Education and Training Task Force Report, 2008.
T. Printezis and Atkinson, M. P., An efficient object promotion algorithm for persistent object systems, Softw., Pract. Exper., vol. 31, pp. 941-981, 2001.
R. {\"u}diger Berlich, Hardt, M., Kunze, M., Atkinson, M. P., and Fergusson, D., EGEE: building a pan-European grid training organisation, in ACSW Frontiers, 2006, pp. 105-111.
A. Barker, van Hemert, J. I., Baldock, R. A., and Atkinson, M. P., An e-Infrastructure for Collaborative Research in Human Embryo Development, 2009.
A. Barker, van Hemert, J. I., Baldock, R. A., and Atkinson, M. P., An E-infrastructure to Support Collaborative Embryo Research, in Cluster Computing and the Grid, 2009, p. 520--525.
A. Barker, Weissman, J. B., and van Hemert, J., Eliminating the Middle Man: Peer-to-Peer Dataflow, in HPDC '08: Proceedings of the 17th International Symposium on High Performance Distributed Computing, 2008, p. 55--64.
A. D. Lloyd, Sloan, T. M., Antonioletti, M., and McGilvary, G., Embedded systems for global e-Social Science: Moving computation rather than data, Future Generation Computer Systems, vol. 29, no. 5, pp. 1120-1129, 2013.
J. I. van Hemert and Jansen, M. L. M., An Engineering Approach to Evolutionary Art, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), 2001, p. 177.
L. De Ferrari, Aitken, S., van Hemert, J., and Goryanin, I., EnzML: multi-label prediction of enzyme classes using InterPro signatures., BMC Bioinformatics, vol. 13, p. 61, 2012.

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