The literature on the use of machine learning (ML) models for the estimation of real estate
prices is increasing at a high rate. However, the black-box nature of the proposed models …

Amid digital transformation, property valuation innovations (PVIs) can enhance professional
service firms'(PSFs) operations. Meanwhile, literature suggests that some PSFs and property …

In the rapidly evolving landscape of urban development, where smart cities increasingly rely
on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately …

The housing market in Dar es Salaam, Tanzania, is expanding and with it a need for
increased market transparency to guide investors and other stakeholders. The objective of …

In this article, we combine a random effects model with different machine learning algorithms
via an iterative process when predicting commercial real estate asset values. Using both …

Market prices and valuation represent the culmination of multifaceted interactions between
various economic, social, and environmental factors. Comprehension of these factors is …

El objetivo del presente documento es identificar los modelos de Aprendizaje Automático
(AA) más precisos para predecir el valor de una propiedad inmobiliaria, basándose en una …

The real estate valuation sector is a crucial component of the real estate industry, serving
various purposes and often mandated by regulations. The Global Financial Crisis (GFC) in …

Real estate valuation is a complex process conditioned by real estate's legal, economic, and
social environment. Difficulties faced by the real estate appraiser in the valuation process …

The study explores the application of Partial Dependence Plots (PDP) in the analysis of real
estate features. The study centers on a selected real estate market in Szczecin, Poland …