Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality
Author(s): |
Chao Fan
(Zachry Department of Civil and Environmental Engineering Texas A&M University College Station Texas USA)
Jeffrey Xu (Department of Computer Science and Engineering Texas A&M University College Station Texas USA) Barane Yoga Natarajan (Department of Computer Science and Engineering Texas A&M University College Station Texas USA) Ali Mostafavi (Zachry Department of Civil and Environmental Engineering Texas A&M University College Station Texas USA) |
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Medium: | journal article |
Language(s): | English |
Published in: | Computer-Aided Civil and Infrastructure Engineering, July 2023, n. 14, v. 38 |
Page(s): | 2013-2029 |
DOI: | 10.1111/mice.12972 |
- About this
data sheet - Reference-ID
10708786 - Published on:
21/03/2023 - Last updated on:
02/09/2023