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Y. Tanimura, Filgueira, R., Kojima, I., and Atkinson, M. P., Abstract: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems, in SC Companion, 2012.
L. Han, Saengngam, T., and van Hemert, J., Accelerating Data-Intensive Applications: a Cloud Computing Approach Image Pattern Recognition Tasks, in The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences, 2010.
N. P. Chue Hong, Antonioletti, M., Karasavvas, K. A., and Atkinson, M., Accessing Data in Grids Using OGSA-DAI, in Knowledge and Data Management in Grids, 2007.
G. McGilvary, Barker, A., and Atkinson, M., Ad hoc Cloud Computing, in IEEE Cloud, 2015.
G. McGilvary, Ad hoc Cloud Computing (PhD Thesis). Edinburgh: The University of Edinburgh, 2014.
J. Eggermont, Eiben, A. E., and van Hemert, J. I., Adapting the Fitness Function in GP for Data Mining, in Springer Lecture Notes on Computer Science, 1999, p. 195--204.
R. Filgueira, Singh, D. E., Calderón, A., Carballeira, F. G., and Carretero, J., Adaptive CoMPI: Enhancing MPI based applications performance and scalability by using adaptive compression., International Journal of High Performance Computing and Applications, 2010. Sage, no. 25 (3), 2010.
J. Eggermont and van Hemert, J. I., Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems, in Springer Lecture Notes on Computer Science, 2001, p. 23--35.
R. Filgueira, Nuñez, A., Fernandez, J., and Atkinson, M., An adaptive, scalable, and portable technique for speeding up MPI-based applications, in International European Conference on Parallel and Distributed Computing, Europar-2012, 2012.
P. Brezany, Janciak, I., Woehrer, A., Aranda, C. B., Atkinson, M., and van Hemert, J., ADMIRE D1.5 – Report defining an iteration of the model and language: PM3 and DL3, ADMIRE project, 2009.
A. Voss, Asgari-Targhi, M., Procter, R., Halfpenny, P., Fragkouli, E., Anderson, S., Hughes, L., Fergusson, D., Vander Meer, E., and Atkinson, M., Adoption of e-Infrastructure Services: inhibitors, enablers and opportunities, in 5th International Conference on e-Social Science, Maternushaus, Cologne, 2009.
M. Atkinson, Brezany, P., Corcho, O., Han, L., van Hemert, J., Hluchy, L., Hume, A., Janciak, I., Krause, A., Snelling, D., and Wöhrer, A., Advanced Data Mining and Integration Research for Europe, in All Hands Meeting 2009, Oxford, 2009.
L. Han, Application of the methodology combined formal method with Object-Oriented technology in E-commerce, Journal of Computer Engineering, vol. 29, no. z1, p. 65~67 , 2002.
R. Filgueira, Atkinson, M., Tanimura, Y., and Kojima, I., Applying selectively parallel IO compression to parallel storage systems, in Euro-Par, 2014.
S. Prammanee and Moessner, K., The Architectural Design of Multi Interface-Device Binding (MID-B) System, in The 3rd Workshop on Context Awareness for Proactive Systems, Guildford, UK, 2007.
R. Upadhyay, Pringle, G., Beckett, G., Potter, S., Han, L., Welch, S., Usmani, A., and Torero, J., An Architecture for an Integrated Fire Emergency Response System for the Built Environment, in 9th Symposium of the International Association for Fire Safety Science (IAFSS), Karlsruhe, GERMANY, 2008.
A. O. Maghraby, Automatic Agent Protocol Generation from Argumentation, in 13th European Agent Systems Summer Schoo, 2011.
M. S. Haleem, Han, L., van Hemert, J., and Li, B., Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review, Computerized Medical Imaging and Graphics, vol. 37, pp. 581–596, 2013.
M. S. Haleem, Han, L., Li, B., Nisbet, A., van Hemert, J., and Verhoek, M., Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases, in 14th {IASTED} International Conference on Computer Graphics and Imaging (CGIM), 2013.
L. Han, van Hemert, J., and Baldock, R., Automatically Identifying and Annotating Mouse Embryo Gene Expression Patterns, Bioinformatics, vol. 27, pp. 1101–1107, 2011.
L. Han, van Hemert, J., Baldock, R., and Atkinson, M. P., Automating Gene Expression Annotation for Mouse Embryo, in Lecture Notes in Computer Science (Advanced Data Mining and Applications, 5th International Conference), 2009, vol. LNAI 5678, pp. 469-478.