Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality
| Autor(en): |
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) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, Juli 2023, n. 14, v. 38 |
| Seite(n): | 2013-2029 |
| DOI: | 10.1111/mice.12972 |
- Über diese
Datenseite - Reference-ID
10708786 - Veröffentlicht am:
21.03.2023 - Geändert am:
02.09.2023
Structurae kooperiert mit
