| 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 | 34 | 2021 |
| Fall detection for elderly-people monitoring using learned features and recurrent neural networks D Berardini, S Moccia, L Migliorelli, I Pacifici, P di Massimo, M Paolanti, ... Experimental Results 1, e7, 2020 | 9 | 2020 |
| Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach D Berardini, L Migliorelli, S Moccia, M Naldini, G De Angelis, E Frontoni 2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020 | 8 | 2020 |
| Benchmarking of dual-step neural networks for detection of dangerous weapons on edge devices D Berardini, A Galdelli, A Mancini, P Zingaretti 2022 18th IEEE/ASME International Conference on Mechatronic and Embedded …, 2022 | 7 | 2022 |
| A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras D Berardini, L Migliorelli, A Galdelli, E Frontoni, A Mancini, S Moccia Multimedia Tools and Applications 83 (7), 19109-19127, 2024 | 5 | 2024 |
| Edge artificial intelligence: A multi-camera video surveillance application D Berardini, A Mancini, P Zingaretti, S Moccia International Design Engineering Technical Conferences and Computers and …, 2021 | 5 | 2021 |
| Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation C Gonçalves, JM Lopes, S Moccia, D Berardini, L Migliorelli, CP Santos Expert Systems with Applications 228, 120288, 2023 | 4 | 2023 |
| A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis L Migliorelli, D Berardini, K Cela, M Coccia, L Villani, E Frontoni, S Moccia Computers in Biology and Medicine 163, 107194, 2023 | 4 | 2023 |
| Asymmetric Three-dimensional Convolutions For Preterm Infants’ Pose Estimation L Migliorelli, D Berardini, F Rossini, E Frontoni, V Carnielli, S Moccia 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
| Edge AI for human-behavior monitoring: designing lightweight Deep Learning methods on resource-constrained devices D Berardini Università Politecnica delle Marche, 2024 | | 2024 |
| A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy L Migliorelli, S Moccia, D Berardini, E Frontoni, M Coccia, L Villani, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants’ depth images L Migliorelli, A Cacciatore, V Ottaviani, D Berardini, RL Dellaca’, ... Medical & Biological Engineering & Computing 61 (2), 387-397, 2023 | | 2023 |
| Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? A Cacciatore, L Migliorelli, D Berardini, S Tiribelli, S Pigliapoco, S Moccia International Conference on Image Analysis and Processing, 165-175, 2022 | | 2022 |
| Deep Learning-Based Frameworks for Human Motion Decoding in Smart Walkers for Rehabilitation C Gonçalves, S Moccia, JM Lopes, D Berardini, L Migliorelli, CP Santos Available at SSRN 4195535, 0 | | |
Sara MocciaAssociate Professor in Bioengineering, Università degli Studi "G. d'Annunzio" Chieti – Pescara在 unich.it 的电子邮件经过验证
