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Razak, Tajul Rosli, Garibaldi, Jonathan M., Wagner, Christian, Pourabdollah, Amir and Soria, Daniele (2018) Interpretability and complexity of design in the creation of fuzzy logic systems: a user study. In: 2018 IEEE Symposium Series on Computational Intelligence (IEEE-SSCI 2018), 18-21 November 2018, Bengaluru, India. (Unpublished)

Agrawal, Utkarsh, Pinar, Anthony J., Wagner, Christian, Havens, Timothy C., Soria, Daniele and Garibaldi, Jonathan M. (2018) Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms. In: 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), 11-15 June 2018, Cadiz, Spain.

Liu, Jo-Fen, Dineen, Robert A., Avula, Shivaram, Chambers, Tom, Dutta, Manali, Jaspan, Tim, MacArthur, Donald C., Howarth, Simon, Soria, Daniele, Quinlan, Philip, Harave, Srikrishna, Ong, Chan Chang, Mallucci, Conor L., Kumar, Ram, Pizer, Barry and Walker, David A. (2018) Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome. British Journal of Neurosurgery . ISSN 0268-8697

Craze, Madeleine L., Cheung, Hayley, Jewa, Natasha, Coimbra, Nuno D.M., Soria, Daniele, El-Ansari, Rokaya, Aleskandarany, Mohammed A., Cheng, Kiu Wai, Diez-Rodriguez, Maria, Nolan, Christopher C., Ellis, Ian O., Rakha, Emad and Green, Andrew R. (2017) MYC regulation of Glutamine-Proline regulatory axis is key in Luminal B breast cancer. British Journal of Cancer . ISSN 1532-1827

Razak, T.R., Garibaldi, Jonathan M., Wagner, Christian, Pourabdollah, Amir and Soria, Daniele (2017) Interpretability indices for hierarchical fuzzy systems. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), 9-12 July 2017, Naples, Italy.

Soria, Daniele and Garibaldi, Jonathan M. (2016) Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts. In: International Conference on Machine Learning and Applications, 18-20 Dec 2016, Anaheim, California, USA.

Agrawal, Utkarsh, Soria, Daniele and Wagner, Christian (2016) Cancer subtype identification pipeline: a classifusion approach. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 24-29 July 2016, Vancouver, Canada.

Green, Andrew R., Soria, Daniele, Powe, Desmond G., Nolan, Christopher C., Aleskandarany, Mohammed A., Szász, M.A., Tőkés, A.M., Ball, G.R., Garibaldi, Jonathan M., Rakha, Emad, 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

Vedhara, Kavita, Dawe, Karen, Miles, Jeremy N.V., Wetherell, Mark A., Cullum, Nicky, Dayan, Colin, Drake, Nicola, Price, Patricia, Tarlton, John, Weinman, John, Day, Andrew, Campbell, Rona, 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

Green, Andrew R., Soria, Daniele, Stephen, Jacquelin, Powe, Desmond G., Nolan, Christopher C., Kunkler, Ian, Thomas, Jeremy, Kerr, Gillian R., Jack, Wilma, Cameron, David, Piper, Tammy, Ball, Graham R., Garibaldi, Jonathan M., Rakha, Emad, 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

Lai, Daphne Teck Ching, Garibaldi, Jonathan M., 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

Rakha, Emad, Soria, Daniele, Green, Andrew R., Lemetre, Christophe, Powe, Desmond G., Nolan, Christopher C., Garibaldi, Jonathan M., 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

Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, 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

Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, 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

Richens, Joanna L., Vere, Kelly-Ann, Light, Roger A., Soria, Daniele, Garibaldi, Jonathan, Smith, A. David, Warden, Donald, Wilcock, Gordon, Bajaj, Nin, 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., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, 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

Soria, Daniele, Garibaldi, Jonathan M., Green, Andrew R., Powe, Desmond G., Nolan, Christopher C., Lemetre, Christophe, 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, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, 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, Aickelin, Uwe, Ladas, Alex, Soria, Daniele, 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)

Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, 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, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, 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)

Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, 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 (2010) Novel methods to elucidate core classes in multi-dimensional biomedical data. PhD thesis, University of Nottingham.

Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Green, Andrew R., Powe, Des, Rakha, Emad, Douglas Macmillan, R., Blamey, Roger W., Ball, Graham, Lisboa, Paulo J.G., Etchells, Terence A., Boracchi, Patrizia, 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.

Garibaldi, Jonathan M., 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.

Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Boracchi, Patrizia, 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, Garibaldi, Jonathan M., 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.

Ambrogi, Federico, Raimondi, Elena, Soria, Daniele, 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, Garibaldi, Jonathan M., Ambrogi, Federico, Lisboa, Paulo J.G., 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.