Woubishet Zewdu Taffese 
- (2024): Enhancing bond strength prediction at UHPC-NC interface: A data-driven approach with augmentation and explainability. Dans: Construction and Building Materials, v. 451 (novembre 2024).
- (2024): Optimizing Alkali-Activated Mortars with Steel Slag and Eggshell Powder. Dans: Buildings, v. 14, n. 8 (23 juillet 2024).
- (2024): Enhancing FRP-concrete interface bearing capacity prediction with explainable machine learning: A feature engineering approach and SHAP analysis. Dans: Engineering Structures, v. 319 (novembre 2024).
- (2024): Ensemble-learning model based ultimate moment prediction of reinforced concrete members strengthened by UHPC. Dans: Engineering Structures, v. 305 (avril 2024).
- (2024): Accurate Prediction of Punching Shear Strength of Steel Fiber-Reinforced Concrete Slabs: A Machine Learning Approach with Data Augmentation and Explainability. Dans: Buildings, v. 14, n. 5 (24 avril 2024).
- (2023): Multitarget regression models for predicting compressive strength and chloride resistance of concrete. Dans: Journal of Building Engineering, v. 72 (août 2023).
- (2024): Unveiling non-steady chloride migration insights through explainable machine learning. Dans: Journal of Building Engineering, v. 82 (avril 2024).
- (2023): Enhancing Mortar Properties through Thermoactivated Recycled Concrete Cement. Dans: Buildings, v. 13, n. 9 (23 août 2023).
- (2022): Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures. Dans: Journal of Building Engineering, v. 60 (novembre 2022).
- (2022): A machine learning method for predicting the chloride migration coefficient of concrete. Dans: Construction and Building Materials, v. 348 (septembre 2022).
- (2022): Prediction of Compaction and Strength Properties of Amended Soil Using Machine Learning. Dans: Buildings, v. 12, n. 5 (24 avril 2022).
- (2019): Embodied Energy and CO2 Emissions of Widely Used Building Materials: The Ethiopian Context. Dans: Buildings, v. 9, n. 6 (juin 2019).
- (2015): CaPrM: Carbonation prediction model for reinforced concrete using machine learning methods. Dans: Construction and Building Materials, v. 100 (décembre 2015).
- (2016): Neural network based hygrothermal prediction for deterioration risk analysis of surface-protected concrete façade element. Dans: Construction and Building Materials, v. 113 (juin 2016).
- (2017): Significance of chloride penetration controlling parameters in concrete: Ensemble methods. Dans: Construction and Building Materials, v. 139 (mai 2017).
- (2017): Machine learning for durability and service-life assessment of reinforced concrete structures: Recent advances and future directions. Dans: Automation in Construction, v. 77 (mai 2017).
- (2018): Suitability Investigation of Recycled Concrete Aggregates for Concrete Production: An Experimental Case Study. Dans: Advances in Civil Engineering, v. 2018 ( 2018).
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