Daniele Soria

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 14

Top Topics

Top Venues

Artif. Intell. Medicine

IEEE J. Biomed. Health Informatics

Publications

Aruna Duraisingam, Ramaswamy Palaniappan, Daniele Soria
Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study. EMBC (2021)
Tajul Rosli Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria
Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. IEEE Trans. Fuzzy Syst. 29 (5) (2021)
Mahmoud Aldraimli, Daniele Soria, Diana Grishchuck, Samuel Ingram, Robert Lyon, Anil Mistry, Jorge Oliveira, Robert Samuel, Leila E. A. Shelley, Sarah Osman, Miriam V. Dwek, David Azria, Jenny Chang-Claude, Sara Gutiérrez-Enríquez, Maria Carmen De Santis, Barry S. Rosenstein, Dirk De Ruysscher, Elena Sperk, R. Paul Symonds, Hilary Stobart, Ana Vega, Liv Veldeman, Adam Webb, Christopher J. Talbot, Catharine M. West, Tim Rattay, Thierry J. Chaussalet
A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. Comput. Biol. Medicine 135 (2021)
Hesham Salem, Daniele Soria, Jonathan N. Lund, Amir Awwad
A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artif. Intell. Medicine 97 (2019)
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Trans. Medical Imaging 38 (2) (2019)
Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Utkarsh Agrawal, Christian Wagner, Jonathan M. Garibaldi, Daniele Soria
Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. FUZZ-IEEE (2019)
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray. CoRR (2018)
Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi
Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. IPMU (1) (2018)
Tajul Rosli Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria
Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. SSCI (2018)
T. R. Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria
Interpretability indices for hierarchical fuzzy systems. FUZZ-IEEE (2017)
Daniele Soria, Jonathan M. Garibaldi
Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts. ICMLA (2016)
Utkarsh Agrawal, Daniele Soria, Christian Wagner
Cancer subtype identification pipeline: A classifusion approach. CEC (2016)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery. CoRR (2014)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Attributes for Causal Inference in Longitudinal Observational Databases. CoRR (2014)
Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE J. Biomed. Health Informatics 18 (2) (2014)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Comparison of algorithms that detect drug side effects using electronic healthcare databases. CoRR (2014)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs. CoRR (2014)
Daphne Teck Ching Lai, Jonathan M. Garibaldi, Daniele Soria, Christopher M. Roadknight
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. Central Eur. J. Oper. Res. 22 (3) (2014)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Attributes for causal inference in electronic healthcare databases. CBMS (2013)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases. CoRR (2013)
Daniele Soria, Jonathan M. Garibaldi, Andrew R. Green, Desmond G. Powe, Christopher C. Nolan, Christophe Lemetre, Graham R. Ball, Ian O. Ellis
A quantifier-based fuzzy classification system for breast cancer patients. Artif. Intell. Medicine 58 (3) (2013)
Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Comput. 17 (12) (2013)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Discovering Sequential Patterns in a UK General Practice Database. CoRR (2013)
Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. CoRR (2013)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Discovering sequential patterns in a UK general practice database. BHI (2012)
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
Comparing data-mining algorithms developed for longitudinal observational databases. UKCI (2012)
Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. FedCSIS (2012)
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis
A 'non-parametric' version of the naive Bayes classifier. Knowl. Based Syst. 24 (6) (2011)
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, Elia Biganzoli, Ian O. Ellis
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40 (3) (2010)
Jonathan M. Garibaldi, Daniele Soria, Khairul A. Rasmani
Consensus Clustering And Fuzzy Classification For Breast Cancer Prognosis. ECMS (2010)
Daniele Soria, Jonathan M. Garibaldi
A novel framework to elucidate core classes in a dataset. IEEE Congress on Evolutionary Computation (2010)
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli
Cancer profiles by affinity propagation. Int. J. Knowl. Eng. Soft Data Paradigms 1 (3) (2009)
Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli
Cancer Profiles by Affinity Propagation. ICMLA (2008)
Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis
A Comparison of Three Different Methods for Classification of Breast Cancer Data. ICMLA (2008)