| A sequential deep learning application for recognising human activities in smart homes D Liciotti, M Bernardini, L Romeo, E Frontoni Neurocomputing 396, 501-513, 2020 | 192 | 2020 |
| Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine M Bernardini, L Romeo, P Misericordia, E Frontoni IEEE Journal of Biomedical and Health Informatics, 2019 | 111 | 2019 |
| Cyber physical systems for industry 4.0: Towards real time virtual reality in smart manufacturing E Frontoni, J Loncarski, R Pierdicca, M Bernardini, M Sasso Augmented Reality, Virtual Reality, and Computer Graphics: 5th International …, 2018 | 59 | 2018 |
| Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients J Montomoli, L Romeo, S Moccia, M Bernardini, L Migliorelli, D Berardini, ... Journal of Intensive Medicine 1 (02), 110-116, 2021 | 47 | 2021 |
| Early temporal prediction of type 2 diabetes risk condition from a general practitioner electronic health record: a multiple instance boosting approach M Bernardini, M Morettini, L Romeo, E Frontoni, L Burattini Artificial Intelligence in Medicine 105, 101847, 2020 | 47 | 2020 |
| Prediction of complications of type 2 Diabetes: A Machine learning approach A Nicolucci, L Romeo, M Bernardini, M Vespasiani, MC Rossi, M Petrelli, ... Diabetes Research and Clinical Practice 190, 110013, 2022 | 33 | 2022 |
| TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records M Bernardini, M Morettini, L Romeo, E Frontoni, L Burattini Computers in Biology and Medicine, 103358, 2019 | 30 | 2019 |
| A semi-supervised multi-task learning approach for predicting short-term kidney disease evolution M Bernardini, L Romeo, E Frontoni, MR Amini IEEE journal of biomedical and health informatics 25 (10), 3983-3994, 2021 | 28 | 2021 |
| A decision support system for diabetes chronic care models based on general practitioner engagement and EHR data sharing E Frontoni, L Romeo, M Bernardini, S Moccia, L Migliorelli, M Paolanti, ... IEEE Journal of Translational Engineering in Health and Medicine 8, 1-12, 2020 | 20 | 2020 |
| A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets M Bernardini, A Doinychko, L Romeo, E Frontoni, MR Amini Computers in Biology and Medicine 163, 107188, 2023 | 11 | 2023 |
| A clinical decision support system to stratify the temporal risk of diabetic retinopathy M Bernardini, L Romeo, A Mancini, E Frontoni IEEE Access 9, 151864-151872, 2021 | 9 | 2021 |
| Machine learning-based approaches to analyse and improve the diagnosis of endothelial dysfunction C Calamanti, M Paolanti, L Romeo, M Bernardini, E Frontoni 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded …, 2018 | 5 | 2018 |
| Towards the design of a machine learning-based consumer healthcare platform powered by electronic health records and measurement of lifestyle through smartphone data A Ferri, R Rosati, M Bernardini, L Gabrielli, S Casaccia, L Romeo, ... 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT), 37-40, 2019 | 4 | 2019 |
| Development of an automatic procedure to mechanically characterize soft tissue materials B Innocenti, P Lambert, JC Larrieu, S Pianigiani, M Paolanti, M Bernardini, ... 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded …, 2016 | 4 | 2016 |
| Machine Learning approaches in Predictive Medicine using Electronic Health Records data M Bernardini Università Politecnica delle Marche, 2021 | 3 | 2021 |
| A clinical decision support system for chronic venous insufficiency C Calamanti, A Cenci, M Bernardini, E Frontoni, P Zingaretti International Design Engineering Technical Conferences and Computers and …, 2017 | 2 | 2017 |
| Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences M Bernardini, A Ferri, L Migliorelli, S Moccia, L Romeo, S Silvestri, L Tiano, ... International Design Engineering Technical Conferences and Computers and …, 2019 | 1 | 2019 |
| METODO PER LA PREDIZIONE DELL'INSORGENZA DI COMPLICANZE A BREVE-MEDIO TERMINE NEL PAZIENTE DIABETICO E DELLA LORO STRATIFICAZIONE TEMPORALE G Vespasiani, M Vespasiani, E Frontoni, L Romeo, M Bernardini, ... | | 2024 |
| Microsoft Grant Award: AI for Health Grants COVID-19, aiCOVID-19 Project ID: 00011000156, Research Area: Treatment & Diagnostics, enabling research to further development. L Romeo, M Bernardini, E Frontoni, M Morettini, L Burattini Microsoft, 2020 | | 2020 |
| A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units L Migliorelli, A Cenci, M Bernardini, L Romeo, S Moccia, P Zingaretti International Design Engineering Technical Conferences and Computers and …, 2019 | | 2019 |
