| Design-space assessment and dimensionality reduction: An off-line method for shape reparameterization in simulation-based optimization D D’Agostino, A Serani, M Diez Ocean Engineering 197, 106852, 2020 | 45 | 2020 |
| Nonlinear methods for design-space dimensionality reduction in shape optimization D D’Agostino, A Serani, EF Campana, M Diez Machine Learning, Optimization, and Big Data: Third International Conference …, 2018 | 41 | 2018 |
| Deep autoencoder for off-line design-space dimensionality reduction in shape optimization D D'Agostino, A Serani, EF Campana, M Diez 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018 | 36* | 2018 |
| Recurrent-type neural networks for real-time short-term prediction of ship motions in high sea state D D'Agostino, A Serani, F Stern, M Diez arXiv preprint arXiv:2105.13102, 2021 | 17 | 2021 |
| Time-series forecasting for ships maneuvering in waves via recurrent-type neural networks D D’Agostino, A Serani, F Stern, M Diez Journal of Ocean Engineering and Marine Energy 8 (4), 479-487, 2022 | 16 | 2022 |
| Assessing the interplay of shape and physical parameters by unsupervised nonlinear dimensionality reduction methods A Serani, D D'Agostino, EF Campana, M Diez Journal of Ship Research 64 (04), 313-327, 2020 | 16 | 2020 |
| Assessing the interplay of shape and physical parameters by nonlinear dimensionality reduction methods A Serani, D D’Agostino, EF Campana, M Diez Proceedings of the 32st Symposium on Naval Hydrodynamics, Hamburg, Germany, 2018 | 10 | 2018 |
| On the combined effect of design-space dimensionality reduction and optimization methods on shape optimization efficiency D D'Agostino, A Serani, M Diez 2018 Multidisciplinary Analysis and Optimization Conference, 4058, 2018 | 9 | 2018 |
| Augmented design-space exploration by nonlinear dimensionality reduction methods D D’Agostino, A Serani, EF Campana, M Diez Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 6 | 2019 |
| Observing piv measurements through the lens of data clustering D D’Agostino, M Andre, P Bardet, A Serani, M Felli, M Diez 33rd Symposium on Naval Hydrodynamics, 2020 | 5 | 2020 |
| PIV data clustering of a buoyant jet in a stratified environment A Serani, D Durante, M Diez, D D'Agostino, S Clement, J Badra, M Andre, ... AIAA Scitech 2019 Forum, 1830, 2019 | 5 | 2019 |
| Generative models for anomaly detection and design-space dimensionality reduction in shape optimization D D’Agostino Engineering Applications of Artificial Intelligence 129, 107566, 2024 | 2 | 2024 |
| PIV Snapshot Clustering Reveals the Dual Deterministic and Chaotic Nature of Propeller Wakes at Macro-and Micro-Scales D D’Agostino, M Diez, M Felli, A Serani Journal of Marine Science and Engineering 11 (6), 1220, 2023 | 2 | 2023 |
| An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants D D'Agostino arXiv preprint arXiv:2211.04129, 2022 | 2 | 2022 |
| Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks D D’Agostino, I Ilievski, CA Shoemaker Neural Networks 176, 106335, 2024 | 1 | 2024 |
| Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches S Li, D Miao, Q Wu, C Hong, D D'Agostino, X Li, Y Ning, Y Shang, H Fu, ... arXiv preprint arXiv:2311.03417, 2023 | | 2023 |
