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J. Watt, Ajayi, O., Jiang, J., Koetsier, J., and Sinnott, R. O., A Shibboleth-Protected Privilege Management Infrastructure for e-Science Education, in Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006, Singapore, 2006, p. 357--364.
A. Nuñez, Fernández, J., Filgueira, R., Carballeira, F. G., and Carretero, J., SIMCAN: A flexible, scalable and expandable simulation platform for modelling and simulating distributed architectures and applications, Simulation Modelling Practice and Theory, vol. 20, pp. 12-32, 2012.
K. Schneeberger, Hagmann, J., Ossowski, S., Warthmann, N., Gesing, S., Kohlbacher, O., and Weigel, D., Simultaneous alignment of short reads against multiple genomes, Genome Biol, vol. 10, p. R98, 2009.
S. Gesing, Grunzke, R., Krüger, J., Birkenheuer, G., Wewior, M., Schäfer, P., Schuller, B., Schuster, J., Herres-Pawlis, S., Breuers, S., Balaskó, Á., Kozlovszky, M., Fabri, A. S., Packschies, L., Kacsuk, P., Blunk, D., Steinke, T., Brinkmann, A., Fels, G., Müller-Pfefferkorn, R., Jäkel, R., and Kohlbacher, O., A Single Sign-On Infrastructure for Science Gateways on a Use Case for Structural Bioinformatics, Journal of Grid Computing, vol. 10, pp. 769-790, 2012.
A. E. Eiben, van Hemert, J. I., Marchiori, E., and Steenbeek, A. G., Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function, in Springer Lecture Notes on Computer Science, 1998, p. 196--205.
S. Gesing, van Hemert, J., Kacsuk, P., and Kohlbacher, O., Special Issue: Portals for life sciences---Providing intuitive access to bioinformatic tools, Concurrency and Computation: Practice and Experience, vol. 23, no. 23, p. 223--234, 2011.
D. W. Walker, Atkinson, M. P., and Sommerville, I., Special Issue: Selected Papers from the 2004 U.K. e-Science All Hands Meeting, All Hands Meeting 2004, vol. 19. John Wiley & Sons Ltd, Nottingham, UK, pp. 129-131, 2007.
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.
J. D. Garcia, Carretero, J., Pérez, J. M., Carballeira, F. G., and Filgueira, R., Specifying use case behavior with interaction models, Journal of Object Technology, vol. 4, pp. 143-159, 2005.
N. J. Harding and Atkinson, M. P., SPLAT: (Suffix-tree Powered Local Alignment Tool): A Full-Sensitivity Protein Database Search Program that Accelerates the Smith-Waterman Algorithm using a Generalised Suffix Tree Index., University of Glasgow, 2004.
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.
J. Eggermont and van Hemert, J. I., Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming, in Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00), 2000, p. 259--266.
M. Atkinson, Meer, E. V., Fergusson, D., Davenhall, C., and Mehammed, H., Strategies and Policies to Support and Advance Education in e-Science, Computing Now, 2009.
D. ’ F. S. W. e-Science Group, Atkinson, M., Britton, D., Coveney, P., De Roure, D., Garnett, N., Geddes, N., Gurney, R., Haines, K., Hughes, L., Ingram, D., Jeffreys, P., Lyon, L., Osborne, I., Perrott, P., R., P., and Rusbridge, C., A Strategy for Research and Innovation in the Century of Information, Prometheus, vol. 27, pp. 27-45, 2009.
J. I. van Hemert and Solnon, C., A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems, in Springer Lecture Notes on Computer Science, 2004, p. 114--123.
S. Newhouse, Schopf, J. M., Richards, A., and Atkinson, M. P., Study of User Priorities for e-Infrastructure for e-Research (SUPER), in Proceedings of the UK e-Science All Hands Meeting, 2007.
S. Gesing, van Hemert, J., Koetsier, J., Bertsch, A., and Kohlbacher, O., TOPP goes Rapid, in Cluster Computing and the Grid, IEEE International Symposium on, Los Alamitos, CA, USA, 2010, p. 598--599.
L. Han, Asenov, A., Berry, D., Millar, C., Roy, G., Roy, S., Sinnott, R., and Stewart, G., Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics, in 3rd IEEE International Conference on eScience and Grid Computing, Bangalore, India , 2007.
J. D. Armstrong and van Hemert, J. I., Towards a Virtual Fly Brain, Philosophical Transactions A, vol. 367, p. 2387--2397, 2009.
M. Carpené, Klampanos, I. A., Leong, S. Hoon, Casarotti, E., Danecek, P., Ferini, G., Gemünd, A., Krause, A., Krischer, L., Magnoni, F., Simon, M., Spinuso, A., Trani, L., Atkinson, M., Erbacci, G., Frank, A., Igel, H., Rietbrock, A., Schwichtenberg, H., and Vilotte, J. - P., Towards Addressing CPU-Intensive Seismological Applications in Europe, in International Supercomputing Conference, Leipzig, Germany, 2013.
K. Zutis, Trucco, E., Hubschman, J. P., Reed, D., Shah, S., and van Hemert, J., Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams, in Conf Proc IEEE Eng Med Biol Soc, 2013.
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.
Y. Chen, Berry, D., and Dantressangle, P., Transaction-Based Grid Database Replication, in UK e-Science Al l Hands Meeting 2007, Nottingham, UK, 2007.
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.