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Assad, A, Moselhi, O and Zayed, T (2021) Resilience-Driven Sustainability-Based Rehabilitation Planning for Water Distribution Networks. Journal of Construction Engineering and Management, 147(08).
Bademosi, F and Issa, R R A (2021) Factors Influencing Adoption and Integration of Construction Robotics and Automation Technology in the US. Journal of Construction Engineering and Management, 147(08).
Ballesteros-Pérez, P, Skitmore, M, Cerezo-Narváez, A, González-Cruz, M C, Pastor-Fernández, A and Otero-Mateo, M (2021) Standard Deviation of Bids for Construction Contract Auctions. Journal of Construction Engineering and Management, 147(08).
Clement, D, Aliabadi, A A, Mackey, J, Thé, J and Gharabaghi, B (2021) Dust Emissions Management Model for Construction Sites. Journal of Construction Engineering and Management, 147(08).
Duodu, B and Rowlinson, S (2021) Opening Up the Innovation Process in Construction Firms: External Knowledge Sources and Dual Innovation. Journal of Construction Engineering and Management, 147(08).
Dutta, A, Breloff, S P, Dai, F, Sinsel, E W, Warren, C M, Carey, R E and Wu, J Z (2021) Application of Data Fusion via Canonical Polyadic Decomposition in Risk Assessment of Musculoskeletal Disorders in Construction: Procedure and Stability Evaluation. Journal of Construction Engineering and Management, 147(08).
Eiris, R, Jain, E, Gheisari, M and Wehle, A (2021) Online Hazard Recognition Training: Comparative Case Study of Static Images, Cinemagraphs, and Videos. Journal of Construction Engineering and Management, 147(08).
Genc, O (2021) SymbioConstruction: A Bibliography-Driven Dynamic Construction Industry Symbiosis Database. Journal of Construction Engineering and Management, 147(08).
Han, Y, Li, Y, Rao, P and Taylor, J E (2021) Global Collaborative Network of Skyscraper Projects from 1990 to 2010: Temporal Evolution and Spatial Characteristics. Journal of Construction Engineering and Management, 147(08).
Hu, Y, Castro-Lacouture, D, Eastman, C M and Navathe, S B (2021) Component Change List Prediction for BIM-Based Clash Resolution from a Graph Perspective. Journal of Construction Engineering and Management, 147(08).
Huang, Y, Trinh, M T and Le, T (2021) Critical Factors Affecting Intention of Use of Augmented Hearing Protection Technology in Construction. Journal of Construction Engineering and Management, 147(08).
Kammouh, O, Nogal, M, Binnekamp, R and Wolfert, A R M ( (2021) Mitigation Controller: Adaptive Simulation Approach for Planning Control Measures in Large Construction Projects. Journal of Construction Engineering and Management, 147(08).
Kazar, G and Comu, S (2021) Effectiveness of Serious Games for Safety Training: A Mixed Method Study. Journal of Construction Engineering and Management, 147(08).
Liu, Y, Habibnezhad, M, Shayesteh, S, Jebelli, H and Lee, S (2021) Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals. Journal of Construction Engineering and Management, 147(08).
Naumets, S and Lu, M (2021) Investigation into Explainable Regression Trees for Construction Engineering Applications. Journal of Construction Engineering and Management, 147(08).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002083
- Abstract:
The logic of an artificial intelligence (AI) model derived from machine learning algorithms and domain-specific data is analogous to an expert’s perception of a complex problem. Human insight based on know-how and experience also provides the best clue to verify such analytical models generalized from data. To facilitate the acceptance and implementation of AI by industry professionals, we explored the least complicated form of model that still is sufficient to represent the complexities of real-world problems. This research established a framework to apply the M5P model tree in the context of producing explainable AI for practical applications. The explanatory information derived from M5P (a decision tree with linear regressions at leaf nodes) is instrumental in explaining how the more complicated AI model reasons for the same problem, illuminating the sufficiency of problem definition and data quality, and distinguishing valid submodels from invalid ones in the obtained model tree. A steel fabrication labor cost–estimating case and a concrete strength development case were given for method validation and application demonstration.
Ragab, M A and Marzouk, M (2021) BIM Adoption in Construction Contracts: Content Analysis Approach. Journal of Construction Engineering and Management, 147(08).
Sherman, R, Gibson, G E, Merrow, E and Parrish, K (2021) Examining the Impact of Rate-of-Return Regulation on Capital Project Planning. Journal of Construction Engineering and Management, 147(08).
Tetteh, M O, Chan, A P C, Darko, A, Torku, A and Nani, G (2021) Critical Barriers to International Construction Joint Ventures Success: Multiexpert Views and Contextual Disparities. Journal of Construction Engineering and Management, 147(08).
Wang, Y, Shao, Z and Tiong, R L K (2021) Data-Driven Prediction of Contract Failure of Public-Private Partnership Projects. Journal of Construction Engineering and Management, 147(08).
Yevu, S K, Yu, A T W, Darko, A and Addy, M N (2021) Evaluation Model for Influences of Driving Forces for Electronic Procurement Systems Application in Ghanaian Construction Projects. Journal of Construction Engineering and Management, 147(08).
Zhang, J, Wang, T and Zhang, L (2021) Legal Risk Assessment Framework for International PPP Projects Based on Metanetwork. Journal of Construction Engineering and Management, 147(08).
Zhao, D, Simmons, D and Chen, Z (2021) Interconnectivity in Collaboration Networks Impact on Member Belongingness. Journal of Construction Engineering and Management, 147(08).