| 2023 | AIME | Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis. | Enrico Longato, Erica Tavazzi, Adriano Chi, Gabriele Mora, Giovanni Sparacino, Barbara Di Camillo |
| 2023 | BSN | System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children. | Giacomo Cappon, Elisa Pellizzari, Luca Cossu, Giovanni Sparacino, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Andrea Facchinetti |
| 2023 | BSN | Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. | Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero |
| 2023 | BSN | A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. | Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti |
| 2021 | AIME | Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-up Data. | Enrico Longato, Gian Paolo Fadini, Giovanni Sparacino, Angelo Avogaro, Barbara Di Camillo |
| 2020 | ECAI | A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. | Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti |
| 2020 | ECAI | Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. | Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero |