Abstract
Spartaco Paris, Francesco Tajani, Giuseppe Cerullo, Giulia Famiglietti
Abstract
Authors
Institutions
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Predicting accuracy of early cost estimates based on estimate quality
10.1061/(asce)0733-9364(2001)127:3(173) · 2001
Analysis of factors influencing project cost estimating practice
10.1080/014461900370979 · 2000
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
10.1007/978-1-349-13757-2
10.1007/978-1-349-13757-2
10.4324/9781315708867
10.4324/9781315708867
Elemental cost estimating: Current UK practice and procedure
10.1108/13664381111153123 · 2011
10.4324/9780203933015
10.4324/9780203933015
10.3390/app10041386
10.3390/app10041386
An automated machine learning approach for classifying infrastructure cost data
10.1111/mice.13114 · 2024
10.3390/buildings14041119
10.3390/buildings14041119
Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning
10.1016/j.buildenv.2004.02.013 · 2004
Conceptual cost estimation of building projects with regression analysis and neural networks
10.1139/l04-029 · 2004
Predicting construction cost using multiple regression techniques
10.1061/(asce)0733-9364(2006)132:7(750) · 2006
A neural network approach for early cost estimation of structural systems of buildings
10.1016/j.ijproman.2004.04.002 · 2004
Web-based conceptual cost estimates for construction projects using evolutionary fuzzy neural inference model
10.1016/j.autcon.2008.07.001 · 2009
Novel machine-learning model for estimating construction costs considering economic variables and indexes
10.1061/(asce)co.1943-7862.0001570 · 2018
Drivers for cost estimating in early design: Case study of residential construction
10.1061/(asce)0733-9364(2008)134:1(32) · 2008
Creating Industry-Accepted Criteria for Measuring Tall Building Floor Area
2019
Towards harmonizing property measurement standards
2018
Building Floorspace and Stock Measurement: A Review of Global Efforts, Knowledge Gaps, and Research Priorities
10.1016/j.ynexs.2025.100075 · 2025
Underestimating costs in public works projects: Error or lie?
10.1080/01944360208976273 · 2002
What causes cost overrun in transport infrastructure projects?
10.1080/0144164032000080494a · 2004
Cost overruns in large-scale transportation infrastructure projects: Explanations and their theoretical embeddedness
10.18757/ejtir.2010.10.1.2864 · 2010
Dealing with construction cost overruns using data mining
10.1080/01446193.2014.933854 · 2014
Cost and time control of construction projects: Inhibiting factors and mitigating measures in practice
10.1080/01446191003674519 · 2010
A neural network model for construction projects site overhead cost estimating in Egypt
2011
Comparison of artificial intelligence techniques for project conceptual cost prediction: A case study and comparative analysis
10.1109/tem.2020.2972078 · 2021
Construction cost map of European countries
10.1080/0013791x.2019.1668097 · 2020
Empirical assessment of geographically based surface interpolation methods for adjusting construction cost estimates by project location
10.1061/(asce)co.1943-7862.0000850 · 2014
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Percentage Points for a Generalized ESD Many-Outlier Procedure
10.1080/00401706.1983.10487848 · 1983
Unresolved referenced work
Kept as external metadata until matched
Unresolved referenced work
Kept as external metadata until matched
Percentage Points for a Generalized ESD Many-Outlier Procedure
10.1080/00401706.1983.10487848 · doi-reference
Empirical assessment of geographically based surface interpolation methods for adjusting construction cost estimates by project location
10.1061/(asce)co.1943-7862.0000850 · doi-reference
Construction cost map of European countries
10.1080/0013791x.2019.1668097 · doi-reference
Comparison of artificial intelligence techniques for project conceptual cost prediction: A case study and comparative analysis
10.1109/tem.2020.2972078 · doi-reference
Cost and time control of construction projects: Inhibiting factors and mitigating measures in practice
10.1080/01446191003674519 · doi-reference
Dealing with construction cost overruns using data mining
10.1080/01446193.2014.933854 · doi-reference
Cost overruns in large-scale transportation infrastructure projects: Explanations and their theoretical embeddedness
10.18757/ejtir.2010.10.1.2864 · doi-reference
What causes cost overrun in transport infrastructure projects?
10.1080/0144164032000080494a · doi-reference
Underestimating costs in public works projects: Error or lie?
10.1080/01944360208976273 · doi-reference
Building Floorspace and Stock Measurement: A Review of Global Efforts, Knowledge Gaps, and Research Priorities
10.1016/j.ynexs.2025.100075 · doi-reference
Drivers for cost estimating in early design: Case study of residential construction
10.1061/(asce)0733-9364(2008)134:1(32) · doi-reference
Novel machine-learning model for estimating construction costs considering economic variables and indexes
10.1061/(asce)co.1943-7862.0001570 · doi-reference
Web-based conceptual cost estimates for construction projects using evolutionary fuzzy neural inference model
10.1016/j.autcon.2008.07.001 · doi-reference
A neural network approach for early cost estimation of structural systems of buildings
10.1016/j.ijproman.2004.04.002 · doi-reference
Predicting construction cost using multiple regression techniques
10.1061/(asce)0733-9364(2006)132:7(750) · doi-reference
Conceptual cost estimation of building projects with regression analysis and neural networks
10.1139/l04-029 · doi-reference
Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning
10.1016/j.buildenv.2004.02.013 · doi-reference
10.3390/buildings14041119
10.3390/buildings14041119 · doi-reference
An automated machine learning approach for classifying infrastructure cost data
10.1111/mice.13114 · doi-reference
10.3390/app10041386
10.3390/app10041386 · doi-reference
10.4324/9780203933015
10.4324/9780203933015 · doi-reference
Elemental cost estimating: Current UK practice and procedure
10.1108/13664381111153123 · doi-reference
10.4324/9781315708867
10.4324/9781315708867 · doi-reference
10.1007/978-1-349-13757-2
10.1007/978-1-349-13757-2 · doi-reference
Analysis of factors influencing project cost estimating practice
10.1080/014461900370979 · doi-reference
Predicting accuracy of early cost estimates based on estimate quality
10.1061/(asce)0733-9364(2001)127:3(173) · doi-reference