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Simon Thorne
Simon Thorne
Cardiff School of Technologies, Cardiff Metropolitan University
Verified email at cardiffmet.ac.uk
Title
Cited by
Cited by
Year
A pilot study exploring spreadsheet risk in scientific research
G AlTarawneh, S Thorne
arXiv preprint arXiv:1703.09785, 2017
292017
Understanding the Interplay between Trust, Reliability, and Human Factors in the Age of Generative AI
S Thorne
International Journal of Simulation--Systems, Science & Technology, 2024
262024
The future of teaching and learning in the context of emerging artificial intelligence technologies
E Ukwandu, O Omisade, K Jones, S Thorne, M Castle
Futures, 103616, 2025
182025
M-Health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children
C Tryfona, G Oatley, A Calderon, S Thorne
International Conference on Universal Access in Human-Computer Interaction …, 2016
112016
A review of spreadsheet error reduction techniques
S Thorne
Communications of the Association for Information Systems 25 (1), 34, 2009
102009
Exploring human factors in spreadsheet development
S Thorne, D Ball
arXiv preprint arXiv:0803.1862, 2008
92008
Experimenting with ChatGPT for spreadsheet formula generation: Evidence of risk in AI generated spreadsheets
S Thorne
arXiv preprint arXiv:2309.00095, 2023
82023
The misuse of spreadsheets in the nuclear fuel industry: The falsification of safety critical nuclear fuel data using spreadsheets at British Nuclear Fuels Limited (BNFL)
S Thorne
2012 45th Hawaii International Conference on System Sciences, 4633-4640, 2012
72012
An empirical study on end-users productivity using model-based spreadsheets
L Beckwith, J Cunha, JP Fernandes, J Saraiva
arXiv preprint arXiv:1112.4190, 2011
72011
Creative environmental exhibition: Revealing insights through multi-sensory museum experiences and vignette analysis for enhanced audience engagement
F Carroll, J Pigott, A Taylor, S Thorne, J Pinney
Heritage 7 (1), 76-94, 2023
52023
Modelling User Behaviour in Market Attribution: finding novel data features using machine learning
TN Thornton, S Thorne, A Calderon
52021
Automatic Angle Recognition in Hallux Valgus.
P Izquierdo, A Calderon, G Jenkins, S Thorne, I Mathieson
International Journal of Simulation--Systems, Science & Technology 21 (2), 2020
52020
Development and experimentation of a software tool for identifying high risk spreadsheets for auditing
MH Shubbak, S Thorne
arXiv preprint arXiv:1602.05231, 2016
52016
The misuse of spreadsheets in the nuclear fuel industry: the falsification of safety critical data using spreadsheets at British Nuclear Fuels Limited (BNFL)
S Thorne
Journal of Organizational and End User Computing (JOEUC) 25 (3), 20-31, 2013
52013
Reducing error in spreadsheets: Example driven modeling versus traditional programming
S Thorne, D Ball, Z Lawson
International Journal of Human-Computer Interaction 29 (1), 40-53, 2013
52013
Considering functional spreadsheet operator usage suggests the value of Example Driven Modelling for Decision Support Systems
S Thorne, D Ball
arXiv preprint arXiv:0803.0164, 2008
42008
Data impressions for a smart city: Exploring new ways to present and engage citizens in environmental data
J Pigott, F Carroll, A Taylor, J Hornby, S Thorne, E Gardner
Journal of Smart Cities and Society 1 (2), 149-162, 2022
32022
Neural Networks for Medical Applications
AC Calderon, S Thorne
ITNOW 60 (1), 46-49, 2018
32018
A novel approach to formulae production and overconfidence measurement to reduce risk in spreadsheet modelling
S Thorne, D Ball, Z Lawson
arXiv preprint arXiv:0803.1754, 2008
32008
Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
C Tryfona, T Crick, A Calderon, S Thorne
International Conference on Digital Human Modeling and Applications in …, 2017
22017
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Articles 1–20