TY  - JOUR 
T1  - Predicting compressive strength of ultra-high-performance concrete using ensemble machine learning models with SHAP and PDP interpretations
JO  - Matéria (Rio de Janeiro)
A1  - Alharthai, Mohammad
A1  - Sobuz, Md. Habibur Rahman
A1  - Alharthi, Khalid
A1  - Kabbo, Md. Kawsarul Islam
A1  - Alameri, Mohammad
A1  - Khan, Md. Munir Hayet
SN  - 1517-7076
UL  - 10.1590/1517-7076-RMAT-2025-0825
VL  - 31 
Y1  - 2026
PB  - Brasil 
ER  -