SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities
16 references·0 citing·46 second hop
The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities (2024)The Impacts of Open Data and eXplainable …The role of the state in the touristification of Lisbon (2023)The role of the state in the …The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China (2023)The measurement and early war…AI-Based on Machine Learning Methods for Urban Real Estate Prediction: A Systematic Survey (2023)AI-Based on Machine Learning …Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities (2022)Using open data and open-sour…Automated real estate valuation with machine learning models using property descriptions (2022)Automated real estate valuati…An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants (2022)An explainable model for the …Real estate price estimation in French cities using geocoding and machine learning (2021)Real estate price estimation …Metrics for evaluating the performance of machine learning based automated valuation models (2021)Metrics for evaluating the pe…Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain (2021)Machine learning with explain…House price forecasting with neural networks (2021)House price forecasting with …Predicting property prices with machine learning algorithms (2020)Predicting property prices wi…The State of Open Data (2019)The State of Open DataPredicting property price index using artificial intelligence techniques (2019)Predicting property price ind…Walking accessibility and property prices (2018)Walking accessibility and pro…Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network (2018)Improving property valuation …Data Preprocessing in Data Mining (2014)Data Preprocessing in Data Mi…Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)ON THE VALIDATION OF MODELS (1981)Designing a neural network for forecasting financial and economic time series (1996)How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market (2022)A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation (2023)Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities (2024)How Accessibility Shapes Land Use (1959)Location and Land Use: Toward a General Theory of Land Rent (1964)Spatial Econometrics: Methods and Models (1988)The 15-minute walkable neighborhoods: Measurement, social inequalities and implications for building healthy communities in urban China (2019)15-Minute City: Decomposing the New Urban Planning Eutopia (2021)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Geographic Determinants of Housing Supply * (2010)Housing Price Prediction Using Machine Learning Algorithms in COVID-19 Times (2022)Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China (2024)The Derived FOXP2 Variant of Modern Humans Was Shared with Neandertals (2007)To Explain or to Predict? (2010)Big Data: New Tricks for Econometrics (2014)Pre-owned housing price index forecasts using Gaussian process regressions (2024)Predictions of residential property price indices for China via machine learning models (2025)Another look at measures of forecast accuracy (2006)Evaluating time series forecasting models: an empirical study on performance estimation methods (2020)House price prediction with gradient boosted trees under different loss functions (2022)A conceptual bridge for the ‘innovation-adoption gap’ in the property profession (2024)Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data (2014)A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)Corn Cash Price Forecasting (2020)A Study of Contemporaneous Residential Real Estate Price Causation Across Major Jiangsu Province Cities: Methodology Using Vector Error-Correction Models and Directed Acyclic Graphs (2025)Contemporaneous causal orderings among prices of retail properties: evidence from Chinese cities through vector error-correction modeling and directed acyclic graphs (2025)Walkability of local communities: Using geographic information systems to objectively assess relevant environmental attributes (2006)Role of Built Environments in Physical Activity, Obesity, and Cardiovascular Disease (2012)City planning and population health: a global challenge (2016)City planning policies to support health and sustainability: an international comparison of policy indicators for 25 cities (2022)Determining thresholds for spatial urban design and transport features that support walking to create healthy and sustainable cities: findings from the IPEN Adult study (2022)What next? Expanding our view of city planning and global health, and implementing and monitoring evidence-informed policy (2022)17. A Value for n-Person Games (1953)Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2008)Incorporating neighborhoods with explainable artificial intelligence for modeling fine-scale housing prices (2023)The non-linear dynamics of South Australian regional housing markets: A machine learning approach (2024)Decolonizing Open Science: Southern Interventions (2021)Digital identity as a platform for improving refugee management (2021)Open Government Data: Usage trends and metadata quality (2021)Big Data and cloud computing: innovation opportunities and challenges (2016)Big data preprocessing: methods and prospects (2016)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)
this work references cited by second hop

References

  • 2014Data Preprocessing in Data Mining1,374 cited
  • 2020Predicting property prices with machine learning algorithms293 cited
  • 2021Metrics for evaluating the performance of machine learning based automated valuation models178 cited
  • 2022Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities173 cited
  • 2021House price forecasting with neural networks162 cited
  • 2019The State of Open Data140 cited
  • 2021Machine learning with explainability or spatial hedonics tools? An analysis of the asking prices in the housing market in Alicante, Spain137 cited
  • 2018Walking accessibility and property prices110 cited
  • 2018Improving property valuation accuracy: a comparison of hedonic pricing model and artificial neural network109 cited
  • 2022An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants100 cited
  • 2021Real estate price estimation in French cities using geocoding and machine learning82 cited
  • 2023The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China74 cited
  • 2022Automated real estate valuation with machine learning models using property descriptions72 cited
  • 2019

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Predicting property price index using artificial intelligence techniques
63 cited
  • 2023The role of the state in the touristification of Lisbon60 cited
  • 2023AI-Based on Machine Learning Methods for Urban Real Estate Prediction: A Systematic Survey56 cited
  • Cited by

    No citing works inside the corpus for this window.