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José Daniel García, Jesús Carretero JMPFGRF. Specifying use case behavior with interaction models. Journal of Object Technology. 2005;4(9):16.
Garcia JD, Carretero J, Pérez JM, Carballeira FG, Filgueira R. Specifying use case behavior with interaction models. Journal of Object Technology. 2005;4:143-159.
Harding NJ, Atkinson MP. 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.
Kitchen RR, Kubista M, Tichopad A. Statistical aspects of quantitative real-time PCR experiment design. Methods [Internet]. 2010;50(4):231-236. Available from: http://www.sciencedirect.com/science?_ob=GatewayURL&_method=citationSearch&_uoikey=B6WN5-4Y88DBN-1&_origin=SDEMFRHTML&_version=1&md5=7bb0b5b797d6e1f7c5c2df478fc88e5a
Eggermont J, van Hemert JI. Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming. In: van den Bosch A, Weigand H Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00). Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'00). BNVKI, Dutch and the Belgian AI Association; 2000. p. 259--266.
Atkinson M, Meer EV, Fergusson D, Davenhall C, Mehammed H. Strategies and Policies to Support and Advance Education in e-Science. Computing Now [Internet]. 2009. Available from: http://www.computer.org/portal/web/computingnow/education
e-Science Group D’ FSW, Atkinson M, Britton D, Coveney P, De Roure D, Garnett N, Geddes N, Gurney R, Haines K, Hughes L, et al. A Strategy for Research and Innovation in the Century of Information. Prometheus. 2009;27:27-45.
van Hemert JI, Solnon C. A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems. In: Gottlieb J, Raidl G Springer Lecture Notes on Computer Science. Springer Lecture Notes on Computer Science. Springer-Verlag, Berlin; 2004. p. 114--123.
Newhouse S, Schopf JM, Richards A, Atkinson MP. Study of User Priorities for e-Infrastructure for e-Research (SUPER). In: Proceedings of the UK e-Science All Hands Meeting. Proceedings of the UK e-Science All Hands Meeting. ; 2007.
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Gesing S, van Hemert J, Koetsier J, Bertsch A, Kohlbacher O. TOPP goes Rapid. In: Cluster Computing and the Grid, IEEE International Symposium on. Cluster Computing and the Grid, IEEE International Symposium on. Los Alamitos, CA, USA: IEEE Computer Society; 2010. p. 598--599.
Han L, Asenov A, Berry D, Millar C, Roy G, Roy S, Sinnott R, Stewart G. Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics. In: 3rd IEEE International Conference on eScience and Grid Computing. 3rd IEEE International Conference on eScience and Grid Computing. Bangalore, India : IEEE Computer Society; 2007.
Armstrong JD, van Hemert JI. Towards a Virtual Fly Brain. Philosophical Transactions A [Internet]. 2009;367:2387--2397. Available from: http://rsta.royalsocietypublishing.org/content/367/1896/2387.abstract
Liew CS, Atkinson MP, van Hemert J, 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. Data Intensive Distributed Computing (DIDC'10), in conjunction with the 19th International Symposium on High Performance Distributed Computing. Chicago, Illinois: ACM; 2010. pp. 725-736. Available from: http://www.cct.lsu.edu/~kosar/didc10/index.php
Chen Y, Berry D, Dantressangle P. Transaction-Based Grid Database Replication. In: UK e-Science Al l Hands Meeting 2007. UK e-Science Al l Hands Meeting 2007. Nottingham, UK; 2007.
Defaweux A, Lenaerts T, van Hemert JI, Parent J. Transition Models as an incremental approach for problem solving in Evolutionary Algorithms. In: Beyer H-G, et al Proceedings of the Genetic and Evolutionary Computation Conference. Proceedings of the Genetic and Evolutionary Computation Conference. {ACM} Press; 2005. p. 599--606.
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Smith-Miles K, van Hemert J, Lim X. Understanding TSP Difficulty by Learning from Evolved Instances. In: Blum C, Battiti R Lecture Notes in Computer Science. Vol. 6073. Lecture Notes in Computer Science. Springer Berlin / Heidelberg; 2010. pp. 266-280. Available from: http://dx.doi.org/10.1007/978-3-642-13800-3_29
Grim R, Jansen MLM, Baan A, van Hemert JI, de Wolf H. Use of Evolutionary Algorithms for Telescope Scheduling. In: Anderson T Integrated Modeling of Telescopes. Vol. 4757. Integrated Modeling of Telescopes. The International Society for Optical Engineering ({SPIE}); 2002. p. 51--61.
Chatzinikolaou N, Robertson D. The Use of Reputation as Noise-resistant Selection Bias in a Co-evolutionary Multi-agent System. In: Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference. Philadelphia; 2012.
Rius J, Cores F, Solsona F, van Hemert JI, Koetsier J, Notredame C. A user-friendly web portal for T-Coffee on supercomputers. BMC Bioinformatics [Internet]. 2011;12. Available from: http://www.biomedcentral.com/1471-2105/12/150
Fernández J, Han L, Nuñez A, Carretero J, van Hemert J. Using architectural simulation models to aid the design of data intensive application. In: The Third International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2009). The Third International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2009). Sliema, Malta: IEEE Computer Society; 2009. p. 163--168.
Wickler G, Beckett G, Han L, Koo SH, Potter S, Pringle G, Tate A. Using Simulation for Decision Support: Lessons Learned from FireGrid. In: J. Landgren NU, de Walle VB Proceedings of the 6th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2009). Proceedings of the 6th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2009). Gothenburg, Sweden; 2009.
O’Donoghue J, van Hemert JI. Using the DCC Lifecycle Model to Curate a Gene Expression Database: A Case Study. International Journal of Digital Curation [Internet]. 2009;4(3). Available from: http://www.ijdc.net/index.php/ijdc/article/view/134

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