Integrating automated machine learning and interpretability analysis in architecture, engineering and construction industry: A case of identifying failure modes of reinforced concrete shear walls

Author:

Liang Dong,Xue FanORCID

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference99 articles.

1. Behaviour and modelling of hybrid SMA-steel reinforced concrete slender shear wall;Abdulridha;Eng. Struct.,2017

2. Building Code Requirements for Structural Concrete (ACI 318-19) and Commentary;ACI,2019

3. Anwar, T. (2021). COVID19 diagnosis using AutoML from 3D CT scans. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (pp. 203–507). ICCV. doi:10.1109/ICCVW54120.2021.00061.

4. Visualizing the effects of predictor variables in black box supervised learning models;Apley;J. R. Stat. Soc. Ser. B Stat. Methodol.),2020

5. Seismic Evaluation and Retrofit of Existing Buildings (ASCE/SEI 41-17);ASCE,2017

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