- (2024): Life-Cycle Performance Modeling for Sustainable and Resilient Structures under Structural Degradation: A Systematic Review. In: Buildings, v. 14, n. 10 (8 October 2024).
- Improving the experience of machine learning in compressive strength prediction of industrial concrete considering mixing proportions, engineered ratios and atmospheric features. In: Construction and Building Materials, v. 444 (September 2024). (2024):
- Predicting the 28-day compressive strength by mix proportions: Insights from a large number of observations of industrially produced concrete. In: Construction and Building Materials, v. 400 (October 2023). (2023):
- Predicting the slump of industrially produced concrete using machine learning: A multiclass classification approach. In: Journal of Building Engineering, v. 58 (October 2022). (2022):
- Prediction of seven-day compressive strength of field concrete. In: Construction and Building Materials, v. 305 (October 2021). (2021):