Daniele Soria

Orcid: 0000-0002-0164-8218

According to our database1, Daniele Soria authored at least 32 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach.
IEEE Trans. Fuzzy Syst., 2021

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology.
BMC Medical Informatics Decis. Mak., 2021

A data science approach for early-stage prediction of Patient's susceptibility to acute side effects of advanced radiotherapy.
Comput. Biol. Medicine, 2021

Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA.
IEEE Trans. Medical Imaging, 2019

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.
IEEE Trans. Intell. Transp. Syst., 2019

Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.
Artif. Intell. Medicine, 2019

Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray.
CoRR, 2018

Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

2017
Interpretability indices for hierarchical fuzzy systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Cancer subtype identification pipeline: A classifusion approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014
A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery.
IEEE J. Biomed. Health Informatics, 2014

Attributes for Causal Inference in Longitudinal Observational Databases.
CoRR, 2014

Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs.
CoRR, 2014

A Novel Semi-Supervised Algorithm for Rare Prescription Side Effect Discovery.
CoRR, 2014

A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means.
Central Eur. J. Oper. Res., 2014

2013
Comparison of algorithms that detect drug side effects using electronic healthcare databases.
Soft Comput., 2013

A quantifier-based fuzzy classification system for breast cancer patients.
Artif. Intell. Medicine, 2013

Attributes for causal inference in electronic healthcare databases.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Comparing data-mining algorithms developed for longitudinal observational databases.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

Discovering sequential patterns in a UK general practice database.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
A 'non-parametric' version of the naive Bayes classifier.
Knowl. Based Syst., 2011

2010
A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients.
Comput. Biol. Medicine, 2010

Consensus Clustering And Fuzzy Classification For Breast Cancer Prognosis.
Proceedings of the European Conference on Modelling and Simulation, 2010

A novel framework to elucidate core classes in a dataset.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Cancer profiles by affinity propagation.
Int. J. Knowl. Eng. Soft Data Paradigms, 2009

2008
A Comparison of Three Different Methods for Classification of Breast Cancer Data.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Cancer Profiles by Affinity Propagation.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008


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