Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach.
- DOI
- 10.1007/s11146-023-09944-1
- Published
- 2023 Mar 22
- Container
- The journal of real estate finance and economics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s11146-023-09944-1,
title = {Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach.},
author = {Deppner J and von Ahlefeldt-Dehn B and Beracha E and Schaefers W},
year = {2023},
journal = {The journal of real estate finance and economics},
doi = {10.1007/s11146-023-09944-1},
url = {https://doi.org/10.1007/s11146-023-09944-1}
}RIS
TY - JOUR TI - Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach. AU - Deppner J AU - von Ahlefeldt-Dehn B AU - Beracha E AU - Schaefers W PY - 2023 JO - The journal of real estate finance and economics DO - 10.1007/s11146-023-09944-1 UR - https://doi.org/10.1007/s11146-023-09944-1 ER -
APA
J, D., B, V. A., E, B., & W, S. (2023). Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach.. The journal of real estate finance and economics. https://doi.org/10.1007/s11146-023-09944-1
Source records
- pubmed · retrieved 2026-09-25T19:29:23.137Z