Deep learning at scale P Viviani, M Drocco, D Baccega, I Colonnelli, M Aldinucci 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 10 | 2019 |
An agent-based model to support infection control strategies at school D Baccega, S Pernice, P Terna, P Castagno, G Moirano, L Richiardi, ... JASSS 25 (3), 1-15, 2022 | 4 | 2022 |
Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups A Saglietto, D Baccega, R Esposito, M Anselmino, V Dusi, A Fiandrotti, ... Frontiers in Cardiovascular Medicine 11, 1327179, 2024 | 1 | 2024 |
Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants D Baccega, P Castagno, A Fernández Anta, M Sereno Scientific Reports 14 (1), 19220, 2024 | | 2024 |
PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning SG Contaldo, E Pietropaolo, L Bosio, S Pernice, I Terrone, D Baccega, ... medRxiv, 2024.08. 22.24311205, 2024 | | 2024 |
Un modello ad agenti per il supporto delle strategie di controllo dell'infezione di SARS-CoV-2 a scuola D Baccega | | 2020 |