Onur Behzat Tokdemir 
- : Performance‐driven contractor recommendation system using a weighted activity–contractor network. Dans: Computer-Aided Civil and Infrastructure Engineering.
- : Uncovering value creation factors for healthcare public-private partnership (PPP) projects. Dans: Engineering, Construction and Architectural Management.
- (2024): Predicting the Cost of Rework in High-Rise Buildings Using Graph Convolutional Networks. Dans: Journal of Construction Engineering and Management, v. 150, n. 8 (août 2024).
- (2022): A quantitative, evidence-based analysis of correlations between lean construction and building information modelling. Dans: Smart and Sustainable Built Environment, v. 12, n. 5 (octobre 2022).
- (2024): Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning. Dans: Journal of Construction Engineering and Management, v. 150, n. 1 (janvier 2024).
- (2023): Multiedge Graph Convolutional Network for House Price Prediction. Dans: Journal of Construction Engineering and Management, v. 149, n. 11 (novembre 2023).
- (2023): Value Creation in PPP Projects Undertaken in the Turkish Healthcare Industry. Dans: Journal of Construction Engineering and Management, v. 149, n. 11 (novembre 2023).
- (2023): Comprehensive Root Cause Analysis of Construction Defects Using Semisupervised Graph Representation Learning. Dans: Journal of Construction Engineering and Management, v. 149, n. 9 (septembre 2023).
- (2022): Quality Failures–Based Critical Cost Impact Factors: Logistic Regression Analysis. Dans: Journal of Construction Engineering and Management, v. 148, n. 12 (décembre 2022).
- (2022): Predicting the Cost Outcome of Construction Quality Problems Using Case-Based Reasoning (CBR). Dans: Buildings, v. 12, n. 11 (27 octobre 2022).
- (2022): Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents. Dans: Buildings, v. 12, n. 11 (27 octobre 2022).
- (2022): Development of zero-based budgeting approach for multinational construction contractors. Dans: Engineering, Construction and Architectural Management, v. 30, n. 10 (août 2022).
- (2022): Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification. Dans: Journal of Construction Engineering and Management, v. 148, n. 6 (juin 2022).
- (2022): Automated Identification of Vagueness in the FIDIC Silver Book Conditions of Contract. Dans: Journal of Construction Engineering and Management, v. 148, n. 4 (avril 2022).
- (2022): A decentralized structure to reduce and resolve construction disputes in a hybrid blockchain network. Dans: Automation in Construction, v. 134 (février 2022).
- (2020): An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents. Dans: Journal of Civil Engineering and Management, v. 26, n. 4 (9 avril 2020).
- (2020): Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks. Dans: Journal of Construction Engineering and Management, v. 146, n. 3 (mars 2020).
- (1999): Comparison of Case-Based Reasoning and Artificial Neural Networks. Dans: Journal of Computing in Civil Engineering, v. 13, n. 3 (juillet 1999).
- (1999): Using Case-Based Reasoning to Predict the Outcome of Construction Litigation. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 14, n. 6 (novembre 1999).
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