Autoencoders for unsupervised real‐time bridge health assessment V Giglioni, I Venanzi, V Poggioni, A Milani, F Ubertini Computer‐Aided Civil and Infrastructure Engineering 38 (8), 959-974, 2023 | 59 | 2023 |
The use of receiver operating characteristic curves and precision-versus-recall curves as performance metrics in unsupervised structural damage classification under changing … V Giglioni, E García-Macías, I Venanzi, L Ierimonti, F Ubertini Engineering Structures 246, 113029, 2021 | 53 | 2021 |
A domain adaptation approach to damage classification with an application to bridge monitoring V Giglioni, J Poole, I Venanzi, F Ubertini, K Worden Mechanical Systems and Signal Processing 209, 111135, 2024 | 27 | 2024 |
Deep autoencoders for unsupervised damage detection with application to the Z24 benchmark bridge V Giglioni, I Venanzi, AE Baia, V Poggioni, A Milani, F Ubertini European workshop on structural health monitoring, 1048-1057, 2022 | 8 | 2022 |
On the use of domain adaptation techniques for bridge damage detection in a changing environment V Giglioni, J Poole, I Venanzi, F Ubertini, K Worden ce/papers 6 (5), 975-980, 2023 | 6 | 2023 |
Application of unsupervised learning for post-earthquake assessment of the Z24 benchmark bridge V Giglioni, I Venanzi, F Ubertini Procedia Structural Integrity 44, 1948-1955, 2023 | 3 | 2023 |
Supervised machine learning techniques for predicting multiple damage classes in bridges V Giglioni, I Venanzi, F Ubertini Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2023 | 2 | 2023 |
Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges V Giglioni, J Poole, R Mills, I Venanzi, F Ubertini, K Worden Mechanical Systems and Signal Processing 224, 112151, 2025 | 1 | 2025 |
A comprehensive dataset for a population of experimental bridges under changing environmental conditions for PBSHM V Giglioni, J Poole, R Mills, N Dervilis, I Venanzi, F Ubertini, K Worden IMAC, A Conference and Exposition on Structural Dynamics, 59-68, 2024 | 1 | 2024 |
ROC-based performance evaluation of data cleansing techniques for false alarm risk reduction in continuously monitored bridges V Giglioni, E Garcìa-Macìas, I Venanzi, L Ierimonti, F Ubertini COMPDYN Proceedings, 2021 | 1 | 2021 |
An Application of Domain Adaptation for Population-Based Structural Health Monitoring V Giglioni, J Poole, I Venanzi, F Ubertini, N Dervilis, K Worden Journal of Physics: Conference Series 2647 (18), 182027, 2024 | | 2024 |
A Transfer Learning Application for Damage Identification Across a Population of Experimental Bridges V Giglioni, J Poole, R Mills, I Venanzi, F Ubertini, K Worden International Operational Modal Analysis Conference, 33-43, 2024 | | 2024 |
On the application of domain adaptation for knowledge transfer and damage detection across bridge spans: an experimental case study V Giglioni, J Poole, R Mills, I Venanzi, F Ubertini, K Worden Procedia Structural Integrity 62, 887-894, 2024 | | 2024 |
Deep learning monitoring of the Z24 benchmark bridge V Giglioni, I Venanzi, F Ubertini, V Poggioni, A Milani Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and …, 2022 | | 2022 |
DEEP NEURAL NETWORKS FOR UNSUPERVISED DAMAGE DETECTION ON THE Z24 BRIDGE V Giglioni, I Venanzi, V Poggioni, AE Baia, A Milani, F Ubertini World Congress in Computational Mechanics and ECCOMAS Congress, 2022 | | 2022 |