May Shayboun

Publikationer (11)
Projekt (1)

Visar 11 publikationer

2024

Machine learning at work? The issue of data quality when developing new insight in occupational accidents

May Shayboun, Christian Koch, Dimosthenis Kifokeris

Computing in Civil Engineering 2023. Vol. Resilience, Safety, and Sustainability, p. 461-468

Paper i proceeding

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2024

AI risks: An organisational practice approach to trustworthiness

Christian Koch, May Shayboun, Dimosthenis Kifokeris

Association of Researchers in Construction Management, ARCOM 2024 - Proceedings of the 40th Annual Conference, p. 129-138

Paper i proceeding

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2024

Construction Occupational Accident Analysis Performed by a Large Language Model Using the Bow-Tie Model

May Shayboun, Dimosthenis Kifokeris, Christian Koch et al

Preprint

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2022

Toward Accident Prevention Through Machine Learning Analysis of Accident Reports

May Shayboun

Licentiatavhandling

2022

SBUF 13670 - Sluttrapport: En ny generation förebyggande av arbetsolycksfall med maskininlärning - Sammanfattning

May Shayboun, Christian Koch, Dimosthenis Kifokeris

Rapport - Svenska Byggbranschens Utvecklingsfond (SBUF)

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2021

Learning from accidents: machine learning prototype development based on the CRISP-DM business understanding

May Shayboun, Christian Koch, Dimosthenis Kifokeris

Proceedings of the Joint CIB W099 & W123 Annual International Conference 2021: Good health, Changes & innovations for improved wellbeing in construction, p. 43-53

Paper i proceeding

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2021

A comparison of accident causation models (ACMs) and machine learning (ML) for applied analysis within accident reports

May Shayboun, Christian Koch, Dimosthenis Kifokeris

Proceedings of the 37th Annual ARCOM Conference, ARCOM 2021, p. 289-298

Paper i proceeding

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2020

Machine learning for analysis of occupational accidents registration data

May Shayboun, Dimosthenis Kifokeris, Christian Koch

ARCOM 2020 - Association of Researchers in Construction Management, 36th Annual Conference 2020 - Proceedings, p. 485-494

Paper i proceeding

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2019

A human touch? How machine learning can improve project performance

Christian Koch, May Shayboun, Dimosthenis Kifokeris

CIB World Building Congress 2019: ‘Constructing smart cities’, Hong Kong, June 17-21, 2019, p. WC0101-01-WC0101-12

Paper i proceeding

2019

SORTING THINGS OUT? MACHINE LEARNING IN COMPLEX CONSTRUCTION PROJECT

Christian Koch, May Shayboun

Proceedings of the European Conference on Computing in Construction, p. 65-74

Paper i proceeding

2019

Construction planning with machine learning

May Shayboun, Dimosthenis Kifokeris, Christian Koch

Association of Researchers in Construction Management, ARCOM 2019 - Proceedings of the 35th Annual Conference. Vol. 2019, p. 699-708

Paper i proceeding

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Visar 1 forskningsprojekt

2019–2020

Produktivitetsläget i svenskt byggande, VVS och el 2018

Christian Koch Construction Management

Stefan Gottlieb Construction Management

May Shayboun Construction Management

Antoine Manès Construction Management

Elteknikbranschens utveckling i Sverige AB (ETU)

Svenska Byggbranschens Utvecklingsfond (SBUF)

Det kan finnas fler projekt där May Shayboun medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.