Carlo De Michele
- : On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method. Dans: Structure and Infrastructure Engineering.
- (2022): Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning. Dans: Journal of Civil Structural Health Monitoring, v. 12, n. 5 (juillet 2022).
- (2022): Non-parametric empirical machine learning for short-term and long-term structural health monitoring. Dans: Structural Health Monitoring, v. 21, n. 6 (mars 2022).
- (2021): Bridge health monitoring in environmental variability by new clustering and threshold estimation methods. Dans: Journal of Civil Structural Health Monitoring, v. 11, n. 3 (mai 2021).
Structurae coopère avec
