An overview of real estate modelling techniques for house price prediction

T Mohd, NS Jamil, N Johari, L Abdullah… - Charting a Sustainable …, 2020 - Springer
Housing price prediction in real estate industry is a very difficult task, and it has piqued the
interest of many researchers over the past years in the quest to look for a suitable model to …

Residential housing price index forecasting via neural networks

X Xu, Y Zhang - Neural Computing and Applications, 2022 - Springer
During the past decade, the housing market in China has witnessed rapid growth and the
significance of forecasting related to housing prices has undoubtedly elevated, which has …

A mass appraisal assessment study using machine learning based on multiple regression and random forest

S Yilmazer, S Kocaman - Land use policy, 2020 - Elsevier
Mass appraisal is a complex matter because it depends on several categorical and
continuously changing or constant parameters. In addition, development of new assessment …

Evaluation of light gradient boosted machine learning technique in large scale land use and land cover classification

DA McCarty, HW Kim, HK Lee - Environments, 2020 - mdpi.com
The ability to rapidly produce accurate land use and land cover maps regularly and
consistently has been a growing initiative as they have increasingly become an important …

AI-based shear capacity of FRP-reinforced concrete deep beams without stirrups

M AlHamaydeh, G Markou, N Bakas… - Engineering …, 2022 - Elsevier
The presented work utilizes Artificial Intelligence (AI) algorithms, to model and interpret the
behavior of the fiber reinforced polymer (FRP)-reinforced concrete deep beams without …

Pre-owned housing price index forecasts using Gaussian process regressions

B Jin, X Xu - Journal of Modelling in Management, 2024 - emerald.com
Purpose The purpose of this study is to make property price forecasts for the Chinese
housing market that has grown rapidly in the last 10 years, which is an important concern for …

Composite property price index forecasting with neural networks

X Xu, Y Zhang - Property Management, 2023 - emerald.com
Purpose The Chinese housing market has gone through rapid growth during the past
decade, and house price forecasting has evolved to be a significant issue that draws …

A fully automated adjustment of ensemble methods in machine learning for modeling complex real estate systems

JL Alfaro-Navarro, EL Cano, E Alfaro-Cortés… - …, 2020 - Wiley Online Library
The close relationship between collateral value and bank stability has led to a considerable
need to a rapid and economical appraisal of real estate. The greater availability of …

New fundamental period formulae for soil-reinforced concrete structures interaction using machine learning algorithms and ANNs

DZ Gravett, C Mourlas, VL Taljaard, N Bakas… - Soil Dynamics and …, 2021 - Elsevier
The importance of designing safe and economic structures in seismically active areas is of
great importance. Thus, developing tools that would help in accurately predicting the …

Sensitivity analysis of machine learning models for the mass appraisal of real estate. Case study of residential units in Nicosia, Cyprus

T Dimopoulos, N Bakas - Remote sensing, 2019 - mdpi.com
A recent study of property valuation literature indicated that the vast majority of researchers
and academics in the field of real estate are focusing on Mass Appraisals rather than on the …