- Appraising the Risk Assessment of Non-Structural Components via Simplified and Machine-Learning-Based Approaches. In: Journal of Earthquake Engineering. :
- Next-generation non-linear and collapse prediction models for short_ to long-period systems via machine learning methods. In: Engineering Structures, v. 306 (Mai 2024). (2024):
- On the fragility of non‐structural elements in loss and recovery: Field observations from Japan. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 3 (Dezember 2023). (2023):
- Simplified tools for the risk assessment and classification of existing buildings. In: Procedia Structural Integrity, v. 44 ( 2023). (2023):
- On the seismic loss estimation of integrated performance‐based designed buildings. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 8 (10 Juli 2022). (2022):
- Integrating expected loss and collapse risk in performance-based seismic design of structures. In: Bulletin of Earthquake Engineering, v. 19, n. 2 (Oktober 2020). (2020):