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Martin Mullins
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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, 2022
2872022
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
2322019
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
1302019
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
942019
Practices and trends of machine learning application in nanotoxicology
I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland
Nanomaterials 10 (1), 116, 2020
922020
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
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
832017
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
782019
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
772016
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
732020
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
642019
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
622017
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
602020
A machine learning tool to predict the antibacterial capacity of nanoparticles
M Mirzaei, I Furxhi, F Murphy, M Mullins
Nanomaterials 11 (7), 1774, 2021
502021
Special issue on network theory and social housing
D Mullins, ML Rhodes
Housing, Theory and Society 24 (1), 1-13, 2007
502007
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
472019
In the Shadow of the Generals: foreign policy making in Argentina, Brazil and Chile
M Mullins
Routledge, 2017
472017
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
452018
Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market
M Mullins, CP Holland, M Cunneen
Patterns 2 (10), 2021
442021
The insurability of nanomaterial production risk
M Mullins, F Murphy, L Baublyte, EM McAlea, SAM Tofail
Nature nanotechnology 8 (4), 222-224, 2013
442013
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Articles 1–20