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Daniele Soria
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2020 – today
- 2021
- [j13]Mahmoud Aldraimli
, Daniele Soria
A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy. Comput. Biol. Medicine 135: 104624 (2021) - [j12]Hesham Salem
A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology. BMC Medical Informatics Decis. Mak. 21(1): 223 (2021) - [j11]Tajul Rosli Bin Razak
Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. IEEE Trans. Fuzzy Syst. 29(5): 1160-1172 (2021) - [c15]Aruna Duraisingam, Ramaswamy Palaniappan, Daniele Soria:
Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study. EMBC 2021: 740-743
2010 – 2019
- 2019
- [j10]Utkarsh Agrawal
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles. Artif. Intell. Medicine 97: 27-37 (2019) - [j9]Grazziela P. Figueredo
Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Trans. Intell. Transp. Syst. 20(9): 3324-3336 (2019) - [j8]Jingxin Liu
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Trans. Medical Imaging 38(2): 617-628 (2019) - [c14]Utkarsh Agrawal
Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. FUZZ-IEEE 2019: 1-7 - 2018
- [c13]Utkarsh Agrawal
Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. IPMU (1) 2018: 329-341 - [c12]Tajul Rosli Bin Razak
Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. SSCI 2018: 420-426 - [i8]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 abs/1801.06288 (2018) - 2017
- [c11]T. R. Razak
Interpretability indices for hierarchical fuzzy systems. FUZZ-IEEE 2017: 1-6 - 2016
- [c10]Utkarsh Agrawal
Cancer subtype identification pipeline: A classifusion approach. CEC 2016: 2858-2865 - [c9]Daniele Soria, Jonathan M. Garibaldi:
Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts. ICMLA 2016: 576-581 - 2014
- [j7]Daphne Teck Ching Lai
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. Central Eur. J. Oper. Res. 22(3): 475-499 (2014) - [j6]Jenna Marie Reps
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE J. Biomed. Health Informatics 18(2): 537-547 (2014) - [i7]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 abs/1409.0748 (2014) - [i6]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 abs/1409.0768 (2014) - [i5]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 abs/1409.0772 (2014) - [i4]Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard:
Attributes for Causal Inference in Longitudinal Observational Databases. CoRR abs/1409.5774 (2014) - 2013
- [j5]Daniele Soria, Jonathan M. Garibaldi
A quantifier-based fuzzy classification system for breast cancer patients. Artif. Intell. Medicine 58(3): 175-184 (2013) - [j4]Jenna Marie Reps, Jonathan M. Garibaldi
Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Comput. 17(12): 2381-2397 (2013) - [c8]Jenna Reps, Jonathan M. Garibaldi
Attributes for causal inference in electronic healthcare databases. CBMS 2013: 548-549 - [i3]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 abs/1307.1411 (2013) - [i2]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 abs/1307.1584 (2013) - [i1]Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant:
Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. CoRR abs/1307.1601 (2013) - 2012
- [c7]Jenna Reps, Jonathan M. Garibaldi
Discovering sequential patterns in a UK general practice database. BHI 2012: 960-963 - [c6]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: 187-191 - [c5]Jenna Reps, Jonathan M. Garibaldi
Comparing data-mining algorithms developed for longitudinal observational databases. UKCI 2012: 1-8 - 2011
- [j3]Daniele Soria, Jonathan M. Garibaldi
A 'non-parametric' version of the naive Bayes classifier. Knowl. Based Syst. 24(6): 775-784 (2011) - 2010
- [j2]Daniele Soria, Jonathan M. Garibaldi
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput. Biol. Medicine 40(3): 318-330 (2010) - [c4]Daniele Soria, Jonathan M. Garibaldi
A novel framework to elucidate core classes in a dataset. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Jonathan M. Garibaldi, Daniele Soria, Khairul A. Rasmani:
Consensus Clustering And Fuzzy Classification For Breast Cancer Prognosis. ECMS 2010: 15-22
2000 – 2009
- 2009
- [j1]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): 195-215 (2009) - 2008
- [c2]Daniele Soria, Jonathan M. Garibaldi
A Comparison of Three Different Methods for Classification of Breast Cancer Data. ICMLA 2008: 619-624 - [c1]Federico Ambrogi
Cancer Profiles by Affinity Propagation. ICMLA 2008: 650-655
Coauthor Index
aka: Jon Garibaldi
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