Cancer Profiles by Affinity Propagation. - Federico Ambrogi; Elena Raimondi; Daniele Soria; Patrizia Boracchi; Elia Biganzoli (ICMLA, 2008)

A Comparison of Three Different Methods for Classification of Breast Cancer Data. - Daniele Soria; Jonathan M. Garibaldi; Elia Biganzoli; Ian O. Ellis (ICMLA, 2008)

Cancer profiles by affinity propagation. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Patrizia Boracchi; Elena Raimondi; Elia Biganzoli (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

A novel framework to elucidate core classes in a dataset. - Daniele Soria; Jonathan M. Garibaldi (IEEE Congress on Evolutionary Computation, 2010)

Consensus Clustering And Fuzzy Classification For Breast Cancer Prognosis. - Jonathan M. Garibaldi; Daniele Soria; Khairul A. Rasmani (ECMS, 2010)

A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Andrew R. Green; Des Powe; Emad A. Rakha; R. Douglas Macmillan; Roger W. Blamey; Graham R. Ball; Paulo J. G. Lisboa; Terence A. Etchells; Patrizia Boracchi; et al. (Comput. Biol. Medicine, 2010)

A 'non-parametric' version of the naive Bayes classifier. - Daniele Soria; Jonathan M. Garibaldi; Federico Ambrogi; Elia Biganzoli; Ian O. Ellis (Knowl. Based Syst., 2011)

Discovering sequential patterns in a UK general practice database. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (BHI, 2012)

Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. - Chris M. Roadknight; Uwe Aickelin; Alex Ladas; Daniele Soria; John Scholefield; Lindy Durrant (FedCSIS, 2012)

Comparing data-mining algorithms developed for longitudinal observational databases. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (UKCI, 2012)

Attributes for causal inference in electronic healthcare databases. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CBMS, 2013)

A quantifier-based fuzzy classification system for breast cancer patients. - Daniele Soria; Jonathan M. Garibaldi; Andrew R. Green; Desmond G. Powe; Christopher C. Nolan; Christophe Lemetre; Graham R. Ball; Ian O. Ellis (Artif. Intell. Medicine, 2013)

Comparison of algorithms that detect drug side effects using electronic healthcare databases. - Jenna Marie Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (Soft Comput., 2013)

A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. - Daphne Teck Ching Lai; Jonathan M. Garibaldi; Daniele Soria; Christopher M. Roadknight (Central Eur. J. Oper. Res., 2014)

A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CoRR, 2014)

Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CoRR, 2014)

Attributes for Causal Inference in Longitudinal Observational Databases. - Jenna Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (CoRR, 2014)

A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. - Jenna Marie Reps; Jonathan M. Garibaldi; Uwe Aickelin; Daniele Soria; Jack E. Gibson; Richard B. Hubbard (IEEE J. Biomed. Health Informatics, 2014)

Cancer subtype identification pipeline: A classifusion approach. - Utkarsh Agrawal; Daniele Soria; Christian Wagner 002 (CEC, 2016)

Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts. - Daniele Soria; Jonathan M. Garibaldi (ICMLA, 2016)

Interpretability indices for hierarchical fuzzy systems. - T. R. Razak; Jonathan M. Garibaldi; Christian Wagner 002; Amir Pourabdollah; Daniele Soria (FUZZ-IEEE, 2017)

Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. - Utkarsh Agrawal; Anthony J. Pinar; Christian Wagner 002; Timothy C. Havens; Daniele Soria; Jonathan M. Garibaldi (IPMU (1), 2018)

Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002; Amir Pourabdollah; Daniele Soria (SSCI, 2018)

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. - Jingxin Liu; Bolei Xu; Chi Zheng; Yuanhao Gong; Jon Garibaldi; Daniele Soria; Andrew R. Green; Ian O. Ellis; Wenbin Zou; Guoping Qiu (CoRR, 2018)

Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. - Utkarsh Agrawal; Christian Wagner 002; Jonathan M. Garibaldi; Daniele Soria (FUZZ-IEEE, 2019)

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. - Utkarsh Agrawal; Daniele Soria; Christian Wagner 002; Jonathan M. Garibaldi; Ian O. Ellis; John M. S. Bartlett; David Cameron; Emad A. Rakha; Andrew R. Green (Artif. Intell. Medicine, 2019)

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. - Grazziela P. Figueredo; Utkarsh Agrawal; Jimiama M. M. Mase; Mohammad Mesgarpour; Christian Wagner 002; Daniele Soria; Jonathan M. Garibaldi; Peer-Olaf Siebers; Robert I. John (IEEE Trans. Intell. Transp. Syst., 2019)

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. - Jingxin Liu; Bolei Xu; Chi Zheng; Yuanhao Gong; Jon Garibaldi; Daniele Soria; Andrew R. Green; Ian O. Ellis; Wenbin Zou; Guoping Qiu (IEEE Trans. Medical Imaging, 2019)

Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study. - Aruna Duraisingam; Ramaswamy Palaniappan; Daniele Soria (EMBC, 2021)

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. - Mahmoud Aldraimli; Daniele Soria; Diana Grishchuck; Samuel Ingram; Robert J. Lyon; Anil Mistry; Jorge Oliveira 004; Robert Samuel; Leila E. A. Shelley; Sarah Osman; Miriam V. Dwek; David Azria; et al. (Comput. Biol. Medicine, 2021)

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology. - Hesham Salem; Daniele Soria; Jonathan N. Lund; Amir Awwad (BMC Medical Informatics Decis. Mak., 2021)

Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002; Amir Pourabdollah; Daniele Soria (IEEE Trans. Fuzzy Syst., 2021)