| 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 | 58 | 2021 |
| Fully convolutional networks for structural health monitoring through multivariate time series classification L Rosafalco, A Manzoni, S Mariani, A Corigliano Advanced Modeling and Simulation in Engineering Sciences 7 (1), 38, 2020 | 55 | 2020 |
| 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 | 32 | 2022 |
| An autoencoder-based deep learning approach for load identification in structural dynamics L Rosafalco, A Manzoni, S Mariani, A Corigliano Sensors 21 (12), 4207, 2021 | 17 | 2021 |
| 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 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 | 13 | 2022 |
| Combined model order reduction techniques and artificial neural network for data assimilation and damage detection in structures L Rosafalco, A Manzoni, S Mariani, A Corigliano Computational Sciences and Artificial Intelligence in Industry: New Digital …, 2022 | 11 | 2022 |
| Mechanical characterization of polysilicon MEMS devices: A stochastic, Deep Learning-based approach JPQ Molina, L Rosafalco, S Mariani 2020 21st International Conference on Thermal, Mechanical and Multi-Physics …, 2020 | 9 | 2020 |
| Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning L Rosafalco, JM De Ponti, L Iorio, R Ardito, A Corigliano European Journal of Mechanics-A/Solids 99, 104947, 2023 | 8 | 2023 |
| Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification F Gatti, L Rosafalco, G Colombera, S Mariani, A Corigliano Soil Dynamics and Earthquake Engineering 173, 108141, 2023 | 6 | 2023 |
| A time series autoencoder for load identification via dimensionality reduction of sensor recordings L Rosafalco, A Manzoni, A Corigliano, S Mariani Engineering Proceedings 2 (1), 34, 2021 | 5 | 2021 |
| Unscented Kalman filter empowered by Bayesian model evidence for system identification in structural dynamics L Rosafalco, S Eftekhar Azam, A Manzoni, A Corigliano, S Mariani Computer Sciences & Mathematics Forum 2 (1), 3, 2021 | 5 | 2021 |
| Stochastic mechanical characterization of polysilicon MEMS: A Deep Learning approach JPQ Molina, L Rosafalco, S Mariani Proceedings 42 (1), 8, 2019 | 5 | 2019 |
| 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 | 4 | 2021 |
| A hybrid structural health monitoring approach based on reduced-order modelling and deep learning L Rosafalco, A Corigliano, A Manzoni, S Mariani Proceedings 42 (1), 67, 2020 | 3 | 2020 |
| Blending physics and data in structural health monitoring L Rosafalco PhD thesis, Politecnico di Milano, 2022. Ph. D.-Thesis defended at …, 2022 | 2 | 2022 |
| EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics L Rosafalco, P Conti, A Manzoni, S Mariani, A Frangi arXiv preprint arXiv:2404.07536, 2024 | | 2024 |
| System Identification via Unscented Kalman Filtering and Model Class Selection L Rosafalco, S Eftekhar Azam, S Mariani, A Corigliano ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2024 | | 2024 |
| Reinforcement learning optimisation for graded metamaterial design using a physical-based constraint on the state representation and action space L Rosafalco, JM De Ponti, L Iorio, RV Craster, R Ardito, A Corigliano Scientific Reports 13 (1), 21836, 2023 | | 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 |
Stefano MarianiProfessor of Structural Mechanics, Politecnico di MilanoVerified email at polimi.it
