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Number of items: 22.

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

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.

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

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

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.

Roadknight, Chris and Aickelin, Uwe and Ladas, Alex and Soria, Daniele and Scholefield, John and Durrant, Lindy (2012) Biomarker clustering of colorectal cancer data to complement clinical classification. In: Federated Conference on Computer Science and Information Systems (FedCSIS), 9-12 Sept 2012, Wrocław, Poland. (Unpublished)

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

Ambrogi, Federico and Raimondi, Elena and Soria, Daniele and Boracchi, Patrizia and Biganzoli, Elia M. (2008) Cancer profiles by affinity propagation. In: Seventh International Conference on Machine Learning and Applications, 2008. ICMLA'08., 11-13 Dec. 2008, San Diego, California.

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)

Vedhara, Kavita and Dawe, Karen and Miles, Jeremy N.V. and Wetherell, Mark A. and Cullum, Nicky and Dayan, Colin and Drake, Nicola and Price, Patricia and Tarlton, John and Weinman, John and Day, Andrew and Campbell, Rona and Reps, Jenna M. and Soria, Daniele (2016) Illness beliefs predict mortality in patients with diabetic foot ulcers. PLoS ONE, 11 (4). e0153315. 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

Richens, Joanna L. and Vere, Kelly-Ann and Light, Roger A. and Soria, Daniele and Garibaldi, Jonathan and Smith, A. David and Warden, Donald and Wilcock, Gordon and Bajaj, Nin and Morgan, Kevin and O’Shea, Paul (2014) Practical detection of a definitive biomarker panel for Alzheimer's disease: comparisons between matched plasma and cerebrospinal fluid. International Journal of Molecular Epidemiology and Genetics, 5 (2). pp. 53-70. ISSN 1948-1756

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

This list was generated on Fri Sep 30 01:31:16 2016 UTC.