| 2025 | HealthCom | Calorie-Dependent Differential Habituation to Repeated Food Cues Assessed via EEG Functional Connectivity. | Aruna Duraisingam, Daniele Soria, Ramaswamy Palaniappan |
| 2018 | IPMU | Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms. | Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi |
| 2016 | CEC | Cancer subtype identification pipeline: A classifusion approach. | Utkarsh Agrawal, Daniele Soria, Christian Wagner |
| 2016 | ICMLA | Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts. | Daniele Soria, Jonathan M. Garibaldi |
| 2013 | CBMS | Attributes for causal inference in electronic healthcare databases. | Jenna Reps, Jonathan M. Garibaldi, Uwe Aickelin, Daniele Soria, Jack E. Gibson, Richard B. Hubbard |
| 2012 | FedCSIS | Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification. | Chris M. Roadknight, Uwe Aickelin, Alex Ladas, Daniele Soria, John Scholefield, Lindy Durrant |
| 2010 | CEC | A novel framework to elucidate core classes in a dataset. | Daniele Soria, Jonathan M. Garibaldi |
| 2010 | ECMS | Consensus Clustering And Fuzzy Classification For Breast Cancer Prognosis. | Jonathan M. Garibaldi, Daniele Soria, Khairul A. Rasmani |
| 2008 | ICMLA | Cancer Profiles by Affinity Propagation. | Federico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli |
| 2008 | ICMLA | A Comparison of Three Different Methods for Classification of Breast Cancer Data. | Daniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis |