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