| Online structural health monitoring by model order reduction and deep learning algorithms L Rosafalco, M Torzoni, A Manzoni, S Mariani, A Corigliano Computers & Structures 255, 106604, 2021 | 63 | 2021 |
| SHM under varying environmental conditions: An approach based on model order reduction and deep learning M Torzoni, L Rosafalco, A Manzoni, S Mariani, A Corigliano Computers & Structures 266, 106790, 2022 | 46 | 2022 |
| A digital twin framework for civil engineering structures M Torzoni, M Tezzele, S Mariani, A Manzoni, KE Willcox Computer Methods in Applied Mechanics and Engineering 418, 116584, 2024 | 35 | 2024 |
| Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning M Torzoni, A Manzoni, S Mariani Computers & Structures 271, 106858, 2022 | 30 | 2022 |
| A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks M Torzoni, A Manzoni, S Mariani Mechanical Systems and Signal Processing 197, 110376, 2023 | 21 | 2023 |
| A deep neural network, multi-fidelity surrogate model approach for Bayesian model updating in SHM M Torzoni, A Manzoni, S Mariani European Workshop on Structural Health Monitoring, 1076-1086, 2022 | 15 | 2022 |
| A self-adaptive hybrid model/data-driven approach to SHM based on model order reduction and deep learning L Rosafalco, M Torzoni, A Manzoni, S Mariani, A Corigliano Structural Health Monitoring Based on Data Science Techniques, 165-184, 2022 | 15 | 2022 |
| A combined model-order reduction and deep learning approach for structural health monitoring under varying operational and environmental conditions M Torzoni, L Rosafalco, A Manzoni Engineering Proceedings 2 (1), 94, 2020 | 14 | 2020 |
| A generative adversarial network based autoencoder for structural health monitoring G Colombera, L Rosafalco, M Torzoni, F Gatti, S Mariani, A Manzoni, ... Computer Sciences & Mathematics Forum 2 (1), 9, 2021 | 5 | 2021 |
| Health monitoring of civil structures: A MCMC approach based on a multi-fidelity deep neural network surrogate M Torzoni, A Manzoni, S Mariani Computer Sciences & Mathematics Forum 2 (1), 16, 2021 | 4 | 2021 |
| Convolutional Neural Networks for Structural Damage Localization on Digital Twins M Parola, FA Galatolo, M Torzoni, MGCA Cimino International Conference on Deep Learning Theory and Applications, 78-97, 2022 | 2 | 2022 |
| Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin. M Parola, FA Galatolo, M Torzoni, MGCA Cimino, G Vaglini DeLTA, 199-206, 2022 | 2 | 2022 |
| Real‐time topology optimization via learnable mappings G Garayalde, M Torzoni, M Bruggi, A Corigliano International Journal for Numerical Methods in Engineering, e7502, 2024 | 1 | 2024 |
| A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring M Torzoni, A Manzoni, S Mariani Engineering Proceedings 27 (1), 60, 2022 | 1 | 2022 |
| Attention Mechanism-Driven Sensor Placement Strategy for Structural Health Monitoring JW Kim, M Torzoni, A Corigliano, S Mariani Engineering Proceedings 27 (1), 43, 2022 | 1 | 2022 |
| Mastering truss structure optimization with tree search G Garayalde, L Rosafalco, M Torzoni, A Corigliano arXiv preprint arXiv:2406.06145, 2024 | | 2024 |
| Enhancing Bayesian model updating in structural health monitoring via learnable mappings M Torzoni, A Manzoni, S Mariani arXiv preprint arXiv:2405.13648, 2024 | | 2024 |
| Model-based and data-driven methodologies toward predictive digital twins of structures M TORZONI | | 2023 |
| Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors M Torzoni, L Rosafalco, S Mariani, A Corigliano, A Manzoni Data-Centric Structural Health Monitoring: Mechanical, Aerospace and Complex …, 2023 | | 2023 |
| Enhanced Bayesian model updating for structural health monitoring via deep learning M Torzoni, A Manzoni, S Mariani ECCOMAS Congress 2022-8th European Congress on Computational Methods in …, 2022 | | 2022 |
