This paper reviews real estate price estimation in France, a market that has received little
attention. We compare seven popular machine learning techniques by proposing a different …

The recent booming of AI in FinTech evidences the significant developments and potential of
AI for making smart FinTech, economy, finance and society. AI-empowered smart FinTech …

This study uses three machine learning algorithms including, support vector machine (SVM),
random forest (RF) and gradient boosting machine (GBM) in the appraisal of property prices …

The problem with property valuation is that it is extremely complex. It is difficult to objectively
model the pricing process or fairly estimate a property value. Many factors can contribute to …

The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being
integrated across organizational functions into the work lives of employees. This coupling of …

Location indices are key in explaining variation in house prices. However, the definition of
comprehensive indices capturing all locational features, along with their efficient and timely …

As the COVID-19 pandemic came unexpectedly, many real estate experts claimed that the
property values would fall like the 2007 crash. However, this study raises the question of …

This paper follows the recent literature on real estate price prediction and proposes to take
advantage of machine learning techniques to better explain which variables are more …

Many banks and credit institutions are required to assess the value of dwellings in their
mortgage portfolio. This valuation often relies on an Automated Valuation Model (AVM) …

This paper deals with an investigation centered on developing a real estate app on the basis
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …