Making the Black Box Transparent: State of the Art in Explainable Machine Learning for Structural Design and Assessment.

Saved in:
Bibliographic Details
Title: Making the Black Box Transparent: State of the Art in Explainable Machine Learning for Structural Design and Assessment.
Authors: Zaker Esteghamati, Mohsen1, mohsen.zaker@usu.edu, Wang, Jingcheng2, jingchengwang@fzu.edu.cn, Wang, Xiaowei3, xiaoweiwang@tongji.edu.cn, Paal, Stephanie G.4, spaal@civil.tamu.edu, Murphy, Jacob5, jacob70920@tamu.edu, Namin, Ali6, ali.namin@usu.edu, Salman, Abdullahi7, ams0098@uah.edu, Sabari, Adam Ado8, aas0041@uah.edu, Ibrar, Muhammad Ahsan8, mi0025@uah.edu, Mazumder, Ram9, rmazumder@georgiasouthern.edu, Li, Yue10, yxl1566@case.edu, Shafieezadeh, Abdollah11, shafieezadeh.1@osu.edu
Source: Journal of Structural Engineering; Jun2026, Vol. 152 Issue 6, p1-22, 22p
Database: Applied Science & Technology Source
Description
ISSN:07339445
DOI:10.1061/JSENDH.STENG-15222