Machine learning approach to residential valuation : a convolutional neural network model for geographic variation
| Year of publication: |
2024
|
|---|---|
| Authors: | Lee, Hojun ; Han, Hoon ; Pettit, Christopher ; Gao, Qishuo ; Shi, Vivien |
| Published in: |
The annals of regional science : an international journal of urban, regional and environmental research and policy. - Berlin : Springer, ISSN 1432-0592, ZDB-ID 1471201-5. - Vol. 72.2024, 2, p. 579-599
|
| Subject: | Wohnstandort | Residential location | Wohnimmobilien | Residential real estate | Immobilienbewertung | Real estate appraisal | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Australien | Australia |
-
Location, location, location : extracting location value from house prices
Kolbe, Jens, (2012)
-
Location, location, location : extracting location value from house prices
Kolbe, Jens, (2012)
-
Location, location, location : extracting location value from house prices : conference paper
Kolbe, Jens, (2013)
- More ...
-
Planning for cycling : are current transport models fit for purpose?
Bostanara, Maryam, (2025)
-
A systematic scoping review of methods for estimating link-level bicycling volumes
Bhowmick, Debjit, (2023)
-
Debnath, Ripan, (2023)
- More ...