Machine Learning Valuation Models
Machine Learning Valuation Models is a computational valuation framework that employs machine learning algorithms to estimate market value by learning complex, non-linear relationships between property characteristics and transaction prices from large datasets, distinguishing it from traditional appraisal methods through its data-driven, adaptive prediction capability.
249
Publications
10.3K
Citations
598
Authors
312
Institutions
Publications per year
2017–2026
181
249
Predicting property prices with machine learning algorithms
Winky K.O. Ho, Bo Tang, Siu Wai Wong · Journal of Property Research · 2020 · 281 citations · Full text
Explaining a series of models by propagating Shapley values
Hugh Chen, Scott Lundberg, Su‐In Lee · Nature Communications · 2022 · 241 citations · Full text
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Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
12 publications
1.1K citations

University of Aberdeen
Aberdeen, United Kingdom
4 h-index
5 publications
372 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
4 publications
87 citations

UNSW Sydney
Sydney, Australia
4 h-index
12 publications
368 citations
The Ohio State University
Columbus, United States
3 h-index
3 publications
574 citations
Lancaster University
Lancaster, United Kingdom
3 h-index
3 publications
66 citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
74 citations

Wrocław University of Science and Technology
Wroclaw, Poland
3 h-index
9 publications
256 citations
1–8 of 312
Repository · 10 publications · 174 citations
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Repository · 9 publications · 297 citations
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7 publications · 676 citations
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6 publications · 531 citations
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5 publications · 814 citations
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