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Number of items: 22.

Reps, Jenna M. and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2014) A novel semi-supervised algorithm for rare prescription side effect discovery. IEEE Journal of Biomedical and Health Informatics, 18 (2). pp. 537-547. ISSN 2168-2194

Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2008) An idiotypic immune network as a short-term learning architecture for mobile robots. In: Artificial immune systems: 7th international conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008: proceedings. Lecture notes in computer science (5132). Springer, Berlin, pp. 266-278. ISBN 9783540850717

Benatar, Naisan and Aickelin, Uwe and Garibaldi, Jonathan M. (2012) An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control. In: 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 10-15 June 2012, Brisbane, Australia.

Reps, Jenna and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2013) Attributes for causal inference in electronic healthcare databases. In: CBMS 2013, The 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, 20-22 June 2013, Porto, Portugal.

Ladas, Alexandros and Garibaldi, Jonathan M. and Scarpel, Rodrigo and Aickelin, Uwe (2014) Augmented neural networks for modelling consumer indebtness. In: 2014 International Joint Conference on Neural Networks (IJCNN), 6-11 July 2014, Beijing, China.

Reps, Jenna and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2012) Comparing data-mining algorithms developed for longitudinal observational databases. In: UKCI 2012, the 12th Annual Workshop on Computational Intelligence, 5-7 Sept 2012, Edinburgh, Scotland.

Reps, Jenna M. and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2013) Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Computing, 17 (12). pp. 2381-2397. ISSN 1432-7643

Reps, Jenna and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2012) Discovering sequential patterns in a UK general practice database. In: 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 5-7 Jan 2012, Hong Kong. (In Press)

Helmi, Hala and Garibaldi, Jonathan M. and Aickelin, Uwe (2011) Examining the classification accuracy of TSVMs with feature selection in comparison with the GLAD algorithm. In: UKCI 2011, 11th Annual Workshop on Computational Intelligence, 7-9 Sept 2011, Manchester, England.

Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2008) Genetic algorithm seeding of idiotypic networks for mobile-robot navigation. In: 5th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2008), 11-15 May 2008, Madiera, Portugal. (Unpublished)

Reps, Jenna and Feyereisl, Jan and Garibaldi, Jonathan M. and Aickelin, Uwe and Gibson, Jack E. and Hubbard, Richard B. (2011) Investigating the detection of adverse drug events in a UK general practice electronic health-care database. In: UKCI 2011, 11th Annual Workshop on Computational Intelligence, 7-9 Sept 2011, Manchester, England.

Glaab, Enrico and Garibaldi, Jonathan M. and Krasnogor, Natalio (2010) Learning pathway-based decision rules to classify microarray cancer samples. In: 25th German Conference on Bioinformatics 2010, 20-22 Sept 2010, Braunschweig, Germany.

Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2009) Mimicking the behaviour of idiotypic AIS robot controllers using probabilistic systems. In: 13th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2009, 10-13 July 2009, Orlando, Florida, USA. (Unpublished)

Mysara, Mohamed and Garibaldi, Jonathan M. and ElHefnawi, Mahmoud (2011) MysiRNA-designer: a workflow for efficient siRNA design. PLoS ONE, 6 (10). e25642/1-e25642/10. ISSN 1932-6203

Reps, Jenna M. and Garibaldi, Jonathan M. and Aickelin, Uwe and Soria, Daniele and Gibson, Jack E. and Hubbard, Richard B. (2014) Signalling paediatric side effects using an ensemble of simple study designs. Drug Safety, 37 (3). pp. 163-170. ISSN 0114-5916

Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2010) The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms. In: Artificial evolution: 9th International Conference = Evolution Artificielle, EA 2009: Strasbourg, France, October 26-28, 2009: revised selected papers. Lecture notes in computer science (5975). Springer, Berlin, pp. 122-133. ISBN 9783642141553

Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2009) The use of probabilistic systems to mimic the behaviour of idiotypic AIS robot controllers. Journal of Systemics, Cybernetics and Informatics, 7 (6). pp. 72-79. ISSN 1690-4524

Miller, Simon and Appleby, Susan and Garibaldi, Jonathan M. and Aickelin, Uwe (2013) Towards a more systematic approach to secure systems design and analysis. International Journal of Secure Software Engineering, 4 (1). pp. 11-30. ISSN 1947-3036

Reps, Jenna M. and Aickelin, Uwe and Garibaldi, Jonathan M. (2014) Tuning a multiple classifier system for side effect discovery using genetic algorithms. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 6-11 July 2014, Beijing, China.

Whitbrook, Amanda and Aickelin, Uwe and Garibaldi, Jonathan M. (2010) Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot. Applied Soft Computing, 10 (3). pp. 876-887. ISSN 1568-4946

Ladas, Alexandros and Aickelin, Uwe and Garibaldi, Jonathan M. and Ferguson, Eamonn (2012) Using clustering to extract personality information from socio economic data. In: 12th UK Workshop on Computational Intelligence (UKCI 2012), 5-7 Sept 2012, Edinburgh, Scotland. (Unpublished)

Glaab, Enrico and Bacardit, Jaume and Garibaldi, Jonathan M. and Krasnogor, Natalio (2012) Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7 (7). e39932. ISSN 1932-6203

This list was generated on Tue Oct 21 09:44:46 2014 IST.