- (2024): Structural Damage Identification Using Autoencoders: A Comparative Study. In: Buildings, v. 14, n. 7 (2 July 2024).
- Semi-supervised structural damage assessment via autoregressive models and evolutionary optimization. In: Structures, v. 59 (January 2024). (2024):
- Damage identification using convolutional neural networks from instantaneous displacement measurements via image processing. In: Structural Health Monitoring, v. 23, n. 3 (September 2023). (2023):
- A clustering-based strategy for automated structural modal identification. In: Structural Health Monitoring, v. 17, n. 2 (January 2017). (2017):
- Automated real-time damage detection strategy using raw dynamic measurements. In: Engineering Structures, v. 196 (October 2019). (2019):
- Unsupervised real‐time SHM technique based on novelty indexes. In: Structural Control and Health Monitoring, v. 26, n. 7 (May 2019). (2019):
- An enhanced approach for automatic modal identification of structures. In: Proceedings of the Institution of Civil Engineers - Structures and Buildings, v. 170, n. 5 (May 2017). (2017):
- A web application system for structural modal identification. In: Proceedings of the Institution of Civil Engineers - Structures and Buildings, v. 167, n. 5 (May 2014). (2014):