Ionut Moldovan 
- (2024): Hybrid Approach for Supervised Machine Learning Algorithms to Identify Damage in Bridges. Dans: Journal of Bridge Engineering (ASCE), v. 29, n. 8 (août 2024).
- (2024): Unsupervised transfer learning for structural health monitoring of urban pedestrian bridges. Dans: Journal of Civil Structural Health Monitoring, v. 14, n. 6 (avril 2024).
- : Impact of climate change on long-term damage detection for structural health monitoring of bridges. Dans: Structural Health Monitoring.
- (2023): Transfer Learning for Structural Health Monitoring in Bridges That Underwent Retrofitting. Dans: Buildings, v. 13, n. 9 (23 août 2023).
- (2023): A Roadmap for an Integrated Assessment Approach to the Adaptation of Concrete Bridges to Climate Change. Dans: Journal of Bridge Engineering (ASCE), v. 28, n. 6 (juin 2023).
- (2023): Transfer Learning to Enhance the Damage Detection Performance in Bridges When Using Numerical Models. Dans: Journal of Bridge Engineering (ASCE), v. 28, n. 1 (janvier 2023).
- (2022): Damage Detection Approach for Bridges under Temperature Effects using Gaussian Process Regression Trained with Hybrid Data. Dans: Journal of Bridge Engineering (ASCE), v. 27, n. 11 (novembre 2022).
- (2022): Reliability of probabilistic numerical data for training machine learning algorithms to detect damage in bridges. Dans: Structural Control and Health Monitoring, v. 29, n. 7 (mars 2022).
- (2019): Finite Element–Based Machine-Learning Approach to Detect Damage in Bridges under Operational and Environmental Variations. Dans: Journal of Bridge Engineering (ASCE), v. 24, n. 7 (juillet 2019).
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