References

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• 2020Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach259 cited
• 2020Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail206 cited
• 2009Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry163 cited
• 2019Estimation and prediction of construction cost index using neural networks, time series, and regression128 cited
• 2013Better estimation of small sobol' sensitivity indices127 cited
• 2011Time Series Models for Forecasting Construction Costs Using Time Series Indexes75 cited
• 2020Predicting the Volatility of Highway Construction Cost Index Using Long Short-Term Memory72 cited
• 2021Improving Accuracy in Predicting City-Level Construction Cost Indices by Combining Linear ARIMA and Nonlinear ANNs65 cited
• 2018Forecasting precious metal returns with multivariate random forests58 cited
• 2017Sobol' indices for problems defined in non-rectangular domains46 cited
• 2020Data-Driven Predictive Modeling of Highway Construction Cost Items42 cited
• 2019On the Search of Models for Early Cost Estimates of Bridges: An SVM-Based Approach36 cited

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