Multi-source urban data fusion for property value assessment: A case study in Philadelphia

J Bin, B Gardiner, E Li, Z Liu - Neurocomputing, 2020 - Elsevier
The property value assessment in the real estate market still remains as a challenges due to
incomplete and insufficient information, as well as the lack of efficient algorithms. House …

A knowledge-supported approach for garment pattern design using fuzzy logic and artificial neural networks

Z Wang, Y Xing, J Wang, X Zeng, Y Yang… - Multimedia Tools and …, 2022 - Springer
In the clothing industry, garment pattern design serves as a significant middle link between
fashion design and manufacturing. With the advent of advanced multimedia techniques, like …

[HTML][HTML] Neural network hyperparameter optimization for prediction of real estate prices in Helsinki

J Kalliola, J Kapočiūtė-Dzikienė… - PeerJ computer …, 2021 - peerj.com
Accurate price evaluation of real estate is beneficial for many parties involved in real estate
business such as real estate companies, property owners, investors, banks, and financial …

[HTML][HTML] Machine learning approach to residential valuation: a convolutional neural network model for geographic variation

H Lee, H Han, C Pettit, Q Gao, V Shi - The Annals of Regional Science, 2024 - Springer
Geographic location and neighbourhood attributes are major contributors to residential
property values. Automated valuation models (AVM) often use hedonic pricing with location …

Dora: Domain-based self-supervised learning framework for low-resource real estate appraisal

WW Du, WY Wang, WC Peng - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
The marketplace system connecting demands and supplies has been explored to develop
unbiased decision-making in valuing properties. Real estate appraisal serves as one of the …

Interpretable multi-modal stacking-based ensemble learning method for real estate appraisal

S Wang, J Zhu, Y Yin, D Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of online real estate trading platforms, multi-modal housing trading
data, including structural information, location, and interior image data, are being …

Look around! A neighbor relation graph learning framework for real estate appraisal

CC Li, WY Wang, WW Du, WC Peng - Pacific-Asia Conference on …, 2024 - Springer
Real estate appraisal is a crucial issue for urban applications, aiming to value the properties
on the market. Recently, several methods have been developed to automatize the valuation …

[HTML][HTML] Exploring a pricing model for urban rental houses from a geographical perspective

H Shen, L Li, H Zhu, Y Liu, Z Luo - Land, 2021 - mdpi.com
Models for estimating urban rental house prices in the real estate market continue to pose a
challenging problem due to the insufficiency of algorithms and comprehensive perspectives …

[HTML][HTML] A pricing model for urban rental housing based on convolutional neural networks and spatial density: a case study of wuhan, china

H Shen, L Li, H Zhu, F Li - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
With the development of urbanization and the expansion of floating populations, rental
housing has become an increasingly common living choice for many people, and housing …

An analysis of the determinants of office real estate price modelling in Nigeria: using a Delphi approach

ARA Yakub, K Achu, HM Ali, R Abdul Jalil - Property Management, 2022 - emerald.com
Purpose There are a plethora of putative influencing variables available in the literature for
modelling real estate prices using AI. Their choice tends to differ from one researcher to the …