CTGAN-Based Model to Mitigate Data Scarcity for Cost Estimation in Green Building Projects-Reference-Cited by-同舟云学术

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CTGAN-Based Model to Mitigate Data Scarcity for Cost Estimation in Green Building Projects

Published:2024-07 Issue:4 Volume:40 Page:
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Hong Eunbin¹,Yi June-Seong²,Lee Donghwan³^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Architectural and Urban Engineering, Ewha Womans Univ., Seoul 03760, Korea.

2. Professor, Dept. of Architectural and Urban Systems Engineering, Ewha Womans Univ., Seoul 03760, Korea (corresponding author).

3. Professor, Dept. of Statistics, Ewha Womans Univ., Seoul 03760, Korea. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JMENEA.MEENG-5880

Reference83 articles.

1. Regularization Neural Network for Construction Cost Estimation

2. Improving the accuracy of screening of cost estimating in early construction project phase;Ahn Y. S.;J. Archit. Inst. Korea,2003

3. Construction cost prediction model for conventional and sustainable college buildings in North America

4. Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

5. Brownlee, J. 2017. How much training data is required for machine learning? Vermont, VIC, Australia: Machine Learning Mastery.

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1. Exploring Data Augmentation and Active Learning Benefits in Imbalanced Datasets;Mathematics;2024-06-19

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