关注
Finbarr Murphy
Finbarr Murphy
Executive Dean. Professor in Quantitative Finance, University of Limerick
在 ul.ie 的电子邮件经过验证
标题
引用次数
引用次数
年份
Connected and autonomous vehicles: A cyber-risk classification framework
B Sheehan, F Murphy, M Mullins, C Ryan
Transportation research part A: policy and practice 124, 523-536, 2019
2082019
Cyber risk and cybersecurity: a systematic review of data availability
F Cremer, B Sheehan, M Fortmann, AN Kia, M Mullins, F Murphy, ...
The Geneva Papers on risk and insurance-Issues and practice 47 (3), 698-736, 2022
1762022
Autonomous vehicles and embedded artificial intelligence: The challenges of framing machine driving decisions
M Cunneen, M Mullins, F Murphy
Applied Artificial Intelligence 33 (8), 706-731, 2019
1042019
The toxic truth about carbon nanotubes in water purification: a perspective view
R Das, BF Leo, F Murphy
Nanoscale research letters 13, 1-10, 2018
1042018
From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions
T Bellet, M Cunneen, M Mullins, F Murphy, F Pütz, F Spickermann, ...
Transportation research part F: traffic psychology and behaviour 63, 153-164, 2019
932019
Practices and trends of machine learning application in nanotoxicology
I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland
Nanomaterials 10 (1), 116, 2020
872020
Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment
HJP Marvin, Y Bouzembrak, EM Janssen, M van der Zande, F Murphy, ...
Nanotoxicology 11 (1), 123-133, 2017
802017
Autonomous vehicles and avoiding the trolley (dilemma): vehicle perception, classification, and the challenges of framing decision ethics
M Cunneen, M Mullins, F Murphy, D Shannon, I Furxhi, C Ryan
Cybernetics and Systems 51 (1), 59-80, 2020
742020
Sustainable nanotechnology decision support system: bridging risk management, sustainable innovation and risk governance
V Subramanian, E Semenzin, D Hristozov, A Zabeo, I Malsch, E McAlea, ...
Journal of Nanoparticle Research 18, 1-13, 2016
742016
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index
I Furxhi, F Murphy, M Mullins, CA Poland
Toxicology letters 312, 157-166, 2019
682019
Nanotoxicology data for in silico tools: a literature review
I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland
Nanotoxicology 14 (5), 612-637, 2020
652020
Connected automated vehicles and insurance: Analysing future market-structure from a business ecosystem perspective
F Pütz, F Murphy, M Mullins, L O'Malley
Technology in Society 59, 101182, 2019
572019
Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach
B Sheehan, F Murphy, C Ryan, M Mullins, HY Liu
Transportation Research Part C: Emerging Technologies 82, 124-137, 2017
562017
A quantitative bow-tie cyber risk classification and assessment framework
B Sheehan, F Murphy, AN Kia, R Kiely
Journal of Risk Research 24 (12), 1619-1638, 2021
512021
A machine learning tool to predict the antibacterial capacity of nanoparticles
M Mirzaei, I Furxhi, F Murphy, M Mullins
Nanomaterials 11 (7), 1774, 2021
482021
End-to-end autonomous driving risk analysis: A behavioural anomaly detection approach
C Ryan, F Murphy, M Mullins
IEEE Transactions on Intelligent Transportation Systems 22 (3), 1650-1662, 2020
472020
On the road safety benefits of advanced driver assistance systems in different driving contexts
L Masello, G Castignani, B Sheehan, F Murphy, K McDonnell
Transportation research interdisciplinary perspectives 15, 100670, 2022
442022
The essential elements of a risk governance framework for current and future nanotechnologies
V Stone, M Führ, PH Feindt, H Bouwmeester, I Linkov, S Sabella, ...
Risk Analysis 38 (7), 1321-1331, 2018
442018
Risk governance of emerging technologies demonstrated in terms of its applicability to nanomaterials
P Isigonis, A Afantitis, D Antunes, A Bartonova, A Beitollahi, N Bohmer, ...
Small 16 (36), 2003303, 2020
422020
Artificial driving intelligence and moral agency: Examining the decision ontology of unavoidable road traffic accidents through the prism of the trolley dilemma
M Cunneen, M Mullins, F Murphy, S Gaines
Applied Artificial Intelligence 33 (3), 267-293, 2019
412019
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