Comparing Performances of Machine Learning Techniques to Forecast Dispute Resolutions-Reference-Cited by-同舟云学术

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Comparing Performances of Machine Learning Techniques to Forecast Dispute Resolutions

Published:2022-09-01 Issue: Volume: Page:
ISSN:1300-3453
Container-title:Teknik Dergi
language:
Short-container-title:

Author:

AYHAN Murat,TOKER İrem,BİRGÖNÜL Talat

Publisher

Teknik Dergi

Subject

Building and Construction,Civil and Structural Engineering

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forecasting the outcomes of construction contract disputes using machine learning techniques;Engineering, Construction and Architectural Management;2024-09-10

2. Digital Technologies for Preventing, Mitigating, and Resolving Contractual Disagreements in the AEC Industry: A Systematic Literature Review;Journal of Construction Engineering and Management;2024-06

3. Claim Management and Dispute Resolution in the Construction Industry: Current Research Trends Using Novel Technologies;Buildings;2024-04-01

4. Predicting Critical Path of Labor Dispute Resolution in Legal Domain by Machine Learning Models Based on SHapley Additive exPlanations and Soft Voting Strategy;Mathematics;2024-01-14

5. Scheduling, Management and Optimization of Construction Process;Teknik Dergi;2022-11-01

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