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O. Corcho and van Hemert, J., Data-Intensive Analysis, 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 Ltd., 2013, pp. 127-145.
C. Cotta and van Hemert, J., Recent Advances in Evolutionary Computation for Combinatorial Optimization, vol. 153. Springer, 2008, p. 338.
C. Cotta and van Hemert, J., Evolutionary Computation in Combinatorial Optimization, 7th European Conference, Lecture Notes in Computer Science, vol. LNCS 4446. Springer, 2007.
P. V. Coveney and Atkinson, M. P., Preface. Crossing boundaries: computational science, e-Science and global e-Infrastructure, Philosophical Transactions of the Royal Society Series A, vol. 367, pp. 2425-2427, 2009.
P. V. Coveney and Atkinson, M. P., Crossing boundaries: computational science, e-Science and global e-Infrastructure II, All Hands Meeting 2008, vol. 367. Royal Society Publishing, Edinburgh, pp. 2619-2806, 2009.
P. V. Coveney and Atkinson, M. P., Crossing boundaries: computational science, e-Science and global e-Infrastructure I, All Hands meeting 2008, vol. 367. Royal Society Publishing, Edinburgh, pp. 2423-2617, 2009.
B. G. W. Craenen, Eiben, A. E., and van Hemert, J. I., Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems, IEEE Transactions on Evolutionary Computation, vol. 7, p. 424--444, 2003.
D. E. Croft, Wykoff, C. C., Brown, D. M., van Hemert, J., and Verhoek, M., Quantification of Ultra-Widefield Retinal Images, Retina Today, 2014.
D. E. Croft, van Hemert, J., Wykoff, C. C., Clifton, D., Verhoek, M., Fleming, A., and Brown, D. M., Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography, Ophthalmic Surg Lasers Imaging Retina, vol. 45, pp. 312–317, 2014.
M. Cuggia, Besana, P., and Glasspool., D., Comparing Clinical Decision Support Systems for Recruitment in Clinical Trials, Journal of Medical Informatics, 2010.
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K. D'Mellow, Rodríguez, D., Carpenter, T., Koetsier, J., Job, D., van Hemert, J., Wardlaw, J., and Zhu, F., RapidBrain: Developing a Portal for Brain Research Imaging, in All Hands Meeting 2011, York , York, 2011.
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.
L. De Ferrari, Aitken, S., van Hemert, J., and Goryanin, I., A model of social collaboration in Molecular Biology knowledge bases, in Proceedings of the 6th Conference of the European Social Simulation Association (ESSA'09), 2009.
I. Dedinski, De Meer, H., Han, L., Mathy, L., Pezaros, D., P., Sventek, J. S., and Xiaoying, Z., Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking, in 7th International Working Conference on Active and Programmable Networks, Sophia Antipolis, French Riviera, La Cote d'Azur, France, November 21-23, 2005., 2005.
E. Deelman, Singh, G. S., Atkinson, M. P., Chervenak, A. L., Hong, N. C. P., Kesselman, C., Patil, S., Pearlman, L., and Su, M. - H., Grid-Based Metadata Services, in SSDBM, 2004, pp. 393-402.
A. Defaweux, Lenaerts, T., van Hemert, J. I., and Parent, J., Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population, in Proceedings of the Congress on Evolutionary Computation, 2005, p. 196--203.
A. Defaweux, Lenaerts, T., van Hemert, J. I., and Parent, J., Transition Models as an incremental approach for problem solving in Evolutionary Algorithms, in Proceedings of the Genetic and Evolutionary Computation Conference, 2005, p. 599--606.
A. Defaweux, Lenaerts, T., and van Hemert, J. I., Evolutionary Transitions as a Metaphor for Evolutionary Optimization, in LNAI 3630, 2005, p. 342--352.
L. De~Ferrari, Aitken, S., van Hemert, J., and Goryanin, I., WikiSim: simulating knowledge collection and curation in structured wikis., in Proceedings of the 2008 International Symposium on Wikis in Porto, Portugal, New York, NY, USA, 2008.
C. Di Chio, Giacobini, M., and van Hemert, J., European Graduate Student Workshop on Evolutionary Computation. 2008.
D. A. Dickie, Job, D., Rodríguez, D., Shenkin, S., and Wardlaw, J., A databank, rather than statistical, model of normal ageing brain structure to indicate pathology, in OHBM 2012, 2012.
M. Dmitriev and Atkinson, M. P., Evolutionary Data Conversion in the PJama Persistent Language, in ECOOP Workshop on Object-Oriented Databases, 1999, pp. 25-36.
M. Dmitriev and Atkinson, M. P., Evolutionary Data Conversion in the PJama Persistent Language, in ECOOP Workshops, 1999, pp. 211-212.
B. Dobrzelecki, Antonioletti, M., Schopf, J. M., Hume, A. C., Atkinson, M., Hong, C. N. P., Jackson, M., Karasavvas, K., Krause, A., Parsons, M., Sugden, T., and Theocharopoulos, E., Profiling OGSA-DAI Performance for Common Use Patterns, in UK e-Science All Hands Meeting, 2006.
B. Dobrzelecki, Krause, A., Hume, A. C., Grant, A., Antonioletti, M., Alemu, T. Y., Atkinson, M., Jackson, M., and Theocharopoulos, E., Integrating distributed data sources with OGSA--DAI DQP and Views, Philosophical Transactions A, vol. 368, p. 4133--4145, 2010.

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