Daniele Soria

37 papers B 5C 5Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Examining the Neurophysiology of Attentional Habituation to Repeated Presentations of Food and Non-Food Visual Stimuli.
Algorithms
Aruna Duraisingam, Daniele Soria, Ramaswamy Palaniappan
2021 J jnl
A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy.
Comput. Biol. Medicine
Mahmoud Aldraimli, Daniele Soria, Diana Grishchuck, Samuel Ingram, Robert J. 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
2021 J jnl
A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology.
BMC Medical Informatics Decis. Mak.
Hesham Salem, Daniele Soria, Jonathan N. Lund, Amir Awwad
2021 — conf
Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study.
EMBC
Aruna Duraisingam, Ramaswamy Palaniappan, Daniele Soria
2021 J jnl
Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach.
IEEE Trans. Fuzzy Syst.
Tajul Rosli Bin Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria
2019 J jnl
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.
IEEE Trans. Medical Imaging
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
2019 J jnl
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.
Artif. Intell. Medicine
Utkarsh Agrawal, Daniele Soria, Christian Wagner, Jonathan M. Garibaldi, Ian O. Ellis, John M. S. Bartlett, David Cameron, Emad A. Rakha, Andrew R. Green
2019 B conf
Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures.
FUZZ-IEEE
Utkarsh Agrawal, Christian Wagner, Jonathan M. Garibaldi, Daniele Soria
2019 J jnl
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.
IEEE Trans. Intell. Transp. Syst.
Grazziela P. Figueredo, Utkarsh Agrawal, Jimiama M. M. Mase, Mohammad Mesgarpour, Christian Wagner, Daniele Soria, Jonathan M. Garibaldi, Peer-Olaf Siebers, Robert I. John
2018 J jnl
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.
CoRR
Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu
2018 — conf
Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms.
IPMU (1)
Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi
2018 — conf
Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study.
SSCI
Tajul Rosli Bin Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria
2017 B conf
Interpretability indices for hierarchical fuzzy systems.
FUZZ-IEEE
T. R. Razak, Jonathan M. Garibaldi, Christian Wagner, Amir Pourabdollah, Daniele Soria
2016 B conf
Cancer subtype identification pipeline: A classifusion approach.
CEC
Utkarsh Agrawal, Daniele Soria, Christian Wagner
2016 C conf
Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts.
ICMLA
Daniele Soria, Jonathan M. Garibaldi
2014 J jnl
A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery.
CoRR
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2014 J jnl
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery.
IEEE J. Biomed. Health Informatics
Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2014 J jnl
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means.
Central Eur. J. Oper. Res.
Daphne Teck Ching Lai, Jonathan M. Garibaldi, Daniele Soria, Christopher M. Roadknight
2014 J jnl
Attributes for Causal Inference in Longitudinal Observational Databases.
CoRR
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2014 J jnl
Comparison of algorithms that detect drug side effects using electronic healthcare databases.
CoRR
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2014 J jnl
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs.
CoRR
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2013 J jnl
A quantifier-based fuzzy classification system for breast cancer patients.
Artif. Intell. Medicine
Daniele Soria, Jonathan M. Garibaldi, Andrew R. Green, Desmond G. Powe, Christopher C. Nolan, Christophe Lemetre, Graham R. Ball, Ian O. Ellis
2013 B conf
Attributes for causal inference in electronic healthcare databases.
CBMS
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2013 J jnl
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification.
CoRR
Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant
2013 J jnl
Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases.
CoRR
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2013 J jnl
Comparison of algorithms that detect drug side effects using electronic healthcare databases.
Soft Comput.
Jenna Marie Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2013 J jnl
Discovering Sequential Patterns in a UK General Practice Database.
CoRR
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2012 C conf
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification.
FedCSIS
Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant
2012 — conf
Comparing data-mining algorithms developed for longitudinal observational databases.
UKCI
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2012 — conf
Discovering sequential patterns in a UK general practice database.
BHI
Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard
2011 J jnl
A 'non-parametric' version of the naive Bayes classifier.
Knowl. Based Syst.
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Elia Biganzoli, Ian O. Ellis
2010 J jnl
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine
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
2010 B conf
A novel framework to elucidate core classes in a dataset.
IEEE Congress on Evolutionary Computation
Daniele Soria, Jonathan M. Garibaldi
2010 C conf
Consensus Clustering And Fuzzy Classification For Breast Cancer Prognosis.
ECMS
Jonathan M. Garibaldi, Daniele Soria, Khairul A. Rasmani
2009 J jnl
Cancer profiles by affinity propagation.
Int. J. Knowl. Eng. Soft Data Paradigms
Daniele Soria, Jonathan M. Garibaldi, Federico Ambrogi, Patrizia Boracchi, Elena Raimondi, Elia Biganzoli
2008 C conf
A Comparison of Three Different Methods for Classification of Breast Cancer Data.
ICMLA
Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis
2008 C conf
Cancer Profiles by Affinity Propagation.
ICMLA
Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli