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References from Effects of machine learning biases in digital tools–A case of the Nigerian construction industry. Local targets link to admitted publications; unresolved targets remain external evidence.
Sample size for saturation in qualitative research: debates, definitions, and strategies
10.1016/j.glmedi.2024.100171 · 2025 · External reference
Exploring the intersection of building information modeling (BIM) and artificial intelligence in modern infrastructure projects
10.30574/ijsra.2024.13.2.2421 · 2024 · External reference
Algorithmic bias in machine learning-based marketing models
10.1016/j.jbusres.2022.01.083 · 2022 · External reference
10.1016/b978-0-12-817976-5.00009-7
10.1016/b978-0-12-817976-5.00009-7 · 2021 · External reference
Unresolved reference
2023 · External reference
History and applications of 3D printing technology in Nigeria
2023 · External reference
Algorithmic bias in education
10.1007/s40593-021-00285-9 · 2021 · External reference
LLMs will always hallucinate, and we need to live with this
2024 · External reference
Unresolved reference
2021 · External reference
Big data's disparate impact
2016 · External reference
Consumer-Lending discrimination in the FinTech era
10.1016/j.jfineco.2021.05.047 · 2021 · External reference
Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care?
10.1016/j.arth.2018.02.067 · 2018 · External reference
Algorithmic bias in educational systems: examining the impact of AI-driven decision making in modern education
10.30574/wjarr.2025.25.1.0253 · 2025 · External reference
Gender shades: intersectional accuracy disparities in commercial gender classification
2018 · External reference
Purposive sampling: complex or simple? Research case examples
10.1177/1744987120927206 · 2020 · External reference
Investigation of sensor bias and signal quality on target tracking with multiple radars
10.1109/i2mtc48687.2022.9806656 · 2022 · External reference
The influence of optimism bias on time and cost on construction projects
10.28991/esj-2021-01287 · 2021 · External reference
Algorithmic fairness and bias in machine learning systems
10.1051/e3sconf/202339904036 · 2023 · External reference
Gender bias in hiring: an analysis of the impact of amazon's recruiting algorithm
10.54254/2754-1169/23/20230367 · 2023 · External reference
10.1108/techs-12-2023-0056 · 2024 · Admitted local publication
Applications of artificial intelligence in machine learning: review and prospect
10.5120/20182-2402 · 2015 · External reference
Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: a comprehensive review
10.1016/j.heliyon.2024.e26888 · 2024 · External reference
Addressing bias in machine learning algorithms: promoting fairness and ethical design
10.1051/e3sconf/202449102040 · 2024 · External reference
Machine learning in civil engineering - on the example of prediction of the coefficient of permeability
10.22630/aspa.2023.22.18 · 2024 · External reference
Managing bias in machine learning projects
10.1007/978-3-030-86797-3_7 · 2021 · External reference
Fairness and bias in artificial intelligence: a brief survey of sources, impacts, and mitigation strategies
10.3390/sci6010003 · 2023 · External reference
The sociodemographic biases in machine learning algorithms: a biomedical informatics perspective
10.3390/life14060652 · 2024 · External reference
Interrogating algorithmic bias: from speculative fiction to liberatory design
10.1007/s11528-022-00783-0 · 2022 · External reference
Potential biases in machine learning algorithms using electronic health record data
10.1001/jamainternmed.2018.3763 · 2018 · External reference
A review of bias and fairness in artificial intelligence
10.9781/ijimai.2023.11.001 · 2024 · External reference
How many interviews are enough? An experiment with data saturation and variability
10.1177/1525822x05279903 · 2006 · External reference
A simple method to assess and report thematic saturation in qualitative research
10.1371/journal.pone.0232076 · 2020 · External reference
Sample sizes for saturation in qualitative research: a systematic review of empirical tests
10.1016/j.socscimed.2021.114523 · 2022 · External reference
10.56238/sevened2024.010-062
10.56238/sevened2024.010-062 · 2024 · External reference
Adding structure to AI harm: an introduction to CSET's AI harm framework
2023 · External reference
Unresolved reference
2020 · External reference
Machine learning and deep learning
10.1007/s12525-021-00475-2 · 2021 · External reference
Unresolved reference
External reference
Bias and fairness in artificial intelligence: methods and mitigation strategies
2024 · External reference
Why Language models hallucinate
2025 · External reference
10.1108/techs-12-2022-0047 · 2023 · Admitted local publication
Machine learning algorithms - a review
10.21275/art20203995 · 2018 · External reference
Unresolved reference
2023 · External reference
A survey on bias and fairness in machine learning
10.48550/arxiv.1908.09635 · 2019 · External reference
Unresolved reference
External reference
Biases in machine learning models and big data analytics: the international criminal and humanitarian law implications
10.1017/s1816383121000096 · 2020 · External reference
Data were saturated
10.1177/1049732315576699 · 2015 · External reference
Unresolved reference
External reference
Machine learning in construction: a systematic review with a focus on Nigeria
10.9734/jerr/2025/v27i21397 · 2025 · External reference
Dissecting racial bias in an algorithm used to manage the health of populations
10.1126/science.aax2342 · 2019 · External reference
Strategies for fair machine learning applications in the South African construction
10.1007/978-3-032-07989-3_30 · 2025 · External reference
An assessment of material waste disposal methods in the Nigerian construction industry
10.3390/recycling4010013 · 2019 · External reference
Application of gamification for sustainable construction: an evaluation of the challenges
10.1108/ci-09-2022-0247 · 2023 · External reference
Influence of digitalisation adoption level on construction project delivery in Nigeria
10.1108/febe-01-2023-0008 · 2023 · External reference
Social data: biases, methodological pitfalls, and ethical boundaries
10.3389/fdata.2019.00013 · 2019 · External reference
Non-redundant high-integrity position estimation robust to sensor bias jumps using MGLR
10.1139/dsa-2022-0010 · 2022 · External reference
Unresolved reference
External reference
Bias and fairness in AI models: addressing disparities in machine learning applications
10.56726/irjmets61692 · 2024 · External reference
Unresolved reference
External reference
Application of machine learning in detecting fraud in telecommunication-based financial transactions
10.51594/csitrj.v4i3.1499 · 2023 · External reference
Application of artificial intelligence in the Nigerian building and construction industry
10.21833/ijaas.2022.10.005 · 2022 · External reference
Impediments to the adoption of augmented and virtual reality for safety enhancement on construction sites
10.1680/jsmic.23.00088 · 2025 · External reference
Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods
10.3390/bdcc7010015 · 2023 · External reference
Appraising the evidence: what is measurement bias? Evidence-Based Mental
10.1136/ebmh.11.2.36 · 2008 · External reference
Artificial intelligence in generative design: a structured review of trends and opportunities in techniques and applications
10.3390/designs9040079 · 2025 · External reference
Unresolved reference
External reference
Behavioral finance -A qualitative content analysis using ATLAS TI
2020 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Machine learning - based framework for construction delay mitigation
10.36680/j.itcon.2021.017 · 2021 · External reference
Cybersecurity data science: an overview from machine learning perspective
10.1186/s40537-020-00318-5 · 2020 · External reference
Saturation in qualitative research: exploring its conceptualization and operationalization
10.1007/s11135-017-0574-8 · 2017 · External reference
Unresolved reference
External reference
Construction planning with machine learning
2019 · External reference
Unresolved reference
External reference
Application of artificial intelligence (AI) in construction management: a systematic literature review
10.24036/invotek.v23i3.1153 · 2024 · External reference
Unresolved reference
External reference
Biases in AI systems
10.1145/3464903 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
The ethics of algorithms: key problems and solutions
10.1007/s00146-021-01154-8 · 2021 · External reference
Exploring the usage of digital technologies for construction project management
10.21837/pm.v19i17.983 · 2021 · External reference
Qualitative research
2023 · External reference
Overcoming the pitfalls and perils of algorithms: a classification of machine learning biases and mitigation methods
10.1016/j.jbusres.2022.01.076 · 2022 · External reference
Factors affecting the adoption of building information modeling in construction projects: a case of Vietnam
10.1080/23311975.2021.1918848 · 2021 · External reference
Unresolved reference
External reference
Social bias, discrimination, and inequity in healthcare: mechanisms, implications, and recommendations
10.1016/j.bjae.2021.11.011 · 2022 · External reference
Unresolved reference
External reference
Bias-reduced localization for drone swarm based on sensor selection
10.3390/s25134034 · 2025 · External reference
Concepts and evaluation of saturation in qualitative research
10.3724/sp.j.1042.2022.00511 · 2022 · External reference
Unresolved reference
External reference
10.1109/icbk50248.2020.00047
10.1109/icbk50248.2020.00047 · External reference
Unresolved reference
2022 · External reference
Evolution and impact of bias in human and machine learning algorithm interaction
10.1371/journal.pone.0235502 · 2020 · External reference
