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Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects
8 references·3 citing·50 second hop
Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects (2021)Application of stacking ensemble machine …Literature review: Machine learning techniques applied to financial market prediction (2019)Literature review: Machine le…An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)An Improved Demand Forecastin…Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes (2018)Novel Machine-Learning Model …Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments (2018)Estimating the Performance of…Revisiting Quality Failure Costs in Construction (2017)Revisiting Quality Failure Co…The relationship between attitude toward using and customer satisfaction with mobile application services (2015)The relationship between atti…Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects (2015)Application of Boosting Regre…Construction Project Cost Escalation Factors (2009)Construction Project Cost Esc…A data-driven framework for conceptual cost estimation of infrastructure projects using XGBoost and Bayesian optimization (2024)A data-driven framework for c…Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity (2022)Development and comparative o…A Stacking Heterogeneous Ensemble Learning Method for the Prediction of Building Construction Project Costs (2022)A Stacking Heterogeneous Ense…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning (2004)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools (2017)Predictive Analytics for Early-Stage Construction Costs Estimation (2022)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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this work references cited by second hop

References

  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2018Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes272 cited
  • 2009Construction Project Cost Escalation Factors222 cited
  • 2018Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments206 cited
  • 2019An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain196 cited
  • 2015The relationship between attitude toward using and customer satisfaction with mobile application services150 cited
  • 2017Revisiting Quality Failure Costs in Construction143 cited
  • 2015Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects111 cited

Cited by

  • 2022A Stacking Heterogeneous Ensemble Learning Method for the Prediction of Building Construction Project Costs60 cited
  • 2022Development and comparative of a new meta-ensemble machine learning model in predicting construction labor productivity45 cited
  • 2024A data-driven framework for conceptual cost estimation of infrastructure projects using XGBoost and Bayesian optimization33 cited

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