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Number of items: 48.

Soria, Daniele and Garibaldi, Jonathan M. and Ambrogi, Federico and Biganzoli, Elia M. and Ellis, Ian O. (2011) A "non-parametric" version of the naive Bayes classifier. Knowledge-Based Systems, 24 (6). pp. 775-784. ISSN 0950-7051

Madi, Elissa and Garibaldi, Jonathan M. and Wagner, Christian (2015) A comparison between two types of Fuzzy TOPSIS method. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9-12 Oct 2015, Kowloon, Hong Kong.

Benatar, Naisan and Aickelin, Uwe and Garibaldi, Jonathan M. (2011) A comparison of non-stationary, type-2 and dual surface fuzzy control. In: 2011 IEEE International Conference on Fuzzy Systems, 27-30 June 2011, Taipei, Taiwan.

Soria, Daniele and Garibaldi, Jonathan M. and Biganzoli, Elia M. and Ellis, Ian O. (2008) A comparison of three different methods for classification of breast cancer data. In: Machine Learning and Applications 2008 (ICMLA'08) Seventh International Conference on Seventh International Conference on Machine Learning and Applications, 11-13 Dec 2008, San Diego, California, USA.

Ladas, Alexandros and Ferguson, Eamonn and Garibaldi, Jonathan M. and Aickelin, Uwe (2014) A data mining framework to model consumer indebtedness with psychological factors. In: IEEE International Conference on Data Mining: The Seventh International Workshop on Domain Driven Data Mining 2014 (DDDM 2014), 14 Dec 2014, Shenzhen, China.

Lai, Daphne Teck Ching and Garibaldi, Jonathan M. and Soria, Daniele and Roadknight, Christopher M. (2014) A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised fuzzy c-means. Central European Journal of Operations Research, 22 (3). pp. 475-499. ISSN 1435-246X

Soria, Daniele and Garibaldi, Jonathan M. and Ambrogi, Federico and Green, Andrew R. and Powe, Des and Rakha, Emad and Douglas Macmillan, R. and Blamey, Roger W. and Ball, Graham and Lisboa, Paulo J.G. and Etchells, Terence A. and Boracchi, Patrizia and Biganzoli, Elia M. and Ellis, Ian O. (2010) A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Computers in biology and medicine, 40 (3). pp. 318-330. ISSN 0010-4825

Sun, Jianyong and Garibaldi, Jonathan M. and Zhang, Yongquan and Al-Shawabkeh, Abdallah (2016) A multi-cycled sequential memetic computing approach for constrained optimisation. Information Sciences, 340-341 . pp. 175-190. ISSN 1872-6291

Soria, Daniele and Garibaldi, Jonathan M. (2010) A novel framework to elucidate core classes in a dataset. In: IEEE Congress on Evolutionary Computation (CEC) 2010, 18-23 July 2010, Barcelona, Spain.

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

Soria, Daniele and Garibaldi, Jonathan M. and Green, Andrew R. and Powe, Desmond G. and Nolan, Christopher C. and Lemetre, Christophe and Ball, Graham R. and Ellis, Ian O. (2013) A quantifier-based fuzzy classification system for breast cancer patients. Artificial Intelligence in Medicine, 58 (3). pp. 175-184. ISSN 0933-3657

Wagner, Christian and Pourabdollah, Amir and McCulloch, Josie and John, Robert and Garibaldi, Jonathan M. (2016) A similarity-based inference engine for non-singleton fuzzy logic systems. In: IEEE International Conference on Fuzzy Systems 2016 (FUZZ-IEEE 2016), 24-29th July 2016, Vancouver, Canada. (Unpublished)

Reps, Jenna M. and Garibaldi, Jonathan M. and Aickelin, Uwe and Gibson, Jack E. and Hubbard, Richard B. (2015) A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations. Journal of Biomedical Informatics, 56 . pp. 356-368. ISSN 1532-0480

Figueredo, Grazziela P. and Wagner, Christian and Garibaldi, Jonathan M. and Aickelin, Uwe (2015) Adaptive data communication interface: a user-centric visual data interpretation framework. In: 9th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), 20-22 August 2015, Helsinki, Finland.

Chao, Chen and John, Robert and Twycross, Jamie and Garibaldi, Jonathan M. (2016) An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), 24-29 July, 2016, Vancouver.

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.

Soria, Daniele and Garibaldi, Jonathan M. and Ambrogi, Federico and Boracchi, Patrizia and Raimondi, E. and Biganzoli, Elia M. (2009) Cancer profiles by Affinity Propagation. International Journal of Knowledge Engineering and Soft Data Paradigms, 1 (3). pp. 195-215. ISSN 1755-3210

Soria, Daniele and Garibaldi, Jonathan M. and Ambrogi, Federico and Lisboa, Paulo J.G. and Boracchi, Patrizia and Biganzoli, Elia M. (2008) Clustering breast cancer data by consensus of different validity indices. In: International Conference on Advances in Medical, Signal and Information Processing (4th), 14-16 July 2008, Santa Margherita Ligure, Italy.

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

Garibaldi, Jonathan M. and Soria, Daniele and Rasmani, Khairul A. (2010) Consensus clustering and fuzzy classification for breast cancer prognosis. In: 24th European Conference on Modelling and Simulation (ECMS2010), 1-4 June 2010, Kuala Lumpur, Malaysia.

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.

Wagner, Christian and Miller, Simon and Garibaldi, Jonathan M. and Anderson, Derek T. and Havens, Timothy C. (2014) From interval-valued data to general type-2 fuzzy sets. IEEE Transactions on Fuzzy Systems, 23 (2). pp. 248-269. ISSN 1063-6706

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.

Figueredo, Grazziela and Siebers, Peer-Olaf and Aickelin, Uwe and Whitbrook, Amanda and Garibaldi, Jonathan M. (2015) Juxtaposition of system dynamics and agent-based simulation for a case study in immunosenescence. PLoS ONE, 10 (3). e0118359/1-e0118359/20. ISSN 1932-6203

Green, William J.F. and Ball, Graham and Hulman, Geoffrey and Johnson, Catherine and Van Schalwyk, Gerry and Ratan, Hari L. and Soria, Daniel and Garibaldi, Jonathan M. and Parkinson, Richard and Hulman, Joshua and Rees, Robert and Powe, Desmond G. (2016) KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer: a targeted molecular approach. British Journal of Cancer . ISSN 0007-0920

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)

Miller, Simon and Wagner, Christian and Aickelin, Uwe and Garibaldi, Jonathan M. (2016) Modelling cyber-security experts' decision making processes using aggregation operators. Computers and Security . ISSN 0167-4048

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

Rakha, Emad and Soria, Daniele and Green, Andrew R. and Lemetre, Christophe and Powe, Desmond G. and Nolan, Christopher C. and Garibaldi, Jonathan M. and Ball, Graham and Ellis, Ian O. (2014) Nottingham Prognostic Index Plus (NPI+): a modern clinical decision making tool in breast cancer. British Journal of Cancer, 110 (7). pp. 1688-1697. ISSN 0007-0920

Green, Andrew R. and Soria, Daniele and Stephen, Jacquelin and Powe, Desmond G. and Nolan, Christopher C. and Kunkler, Ian and Thomas, Jeremy and Kerr, Gillian R. and Jack, Wilma and Cameron, David and Piper, Tammy and Ball, Graham R. and Garibaldi, Jonathan M. and Rakha, Emad A. and Bartlett, John M.S. and Ellis, Ian O. (2016) Nottingham Prognostic Index Plus: validation of a clinical decision making tool in breast cancer in an independent series. Journal of Pathology: Clinical Research, 2 . pp. 32-40. ISSN 2056-4538

Green, Andrew R. and Soria, Daniele and Powe, Desmond G. and Nolan, Christopher C. and Aleskandarany, Mohammed A. and Szász, M.A. and Tőkés, A.M. and Ball, G.R. and Garibaldi, Jonathan M. and Rakha, Emad and Kulka, J. and Ellis, Ian O. (2016) Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer. Breast Cancer Research and Treatment, 157 (1). pp. 65-75. ISSN 0167-6806

Benatar, Naisan and Aickelin, Uwe and Garibaldi, Jonathan M. (2013) Performance measurement under increasing environmental uncertainty in the context of interval type-2 fuzzy logic based robotic sailing. In: IEEE International Conference on Fuzzy Systems 2013 (Fuzz-IEEE 2013), 7-10 July 2013, Hyderabad, India.

Reps, Jenna and Aickelin, Uwe and Garibaldi, Jonathan M. and Damski, Chris (2014) Personalising mobile advertising based on users’ installed apps. In: IEEE International Conference on Data Mining: The 4th International Workshop on Data Mining for Service (DMS), 14-17 Dec 2014, Shenzhen, China.

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 Sun Aug 28 21:54:12 2016 UTC.