Finbarr Murphy

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Coautors

Martin MullinsProf. Risk Management, University of LimerickCorreu electrònic verificat a ul.ie
Barry SheehanKemmy Business School, University of LimerickCorreu electrònic verificat a ul.ie
Irini FurxhiConsiglio Nazionale delle RicercheCorreu electrònic verificat a ul.ie
Darren ShannonAssoc. Prof of Quantitative FinanceCorreu electrònic verificat a ul.ie
Cian RyanXperiCorreu electrònic verificat a xperi.com
Dr Máirtín CunneenAssociate Professor in Data Analytics and Risk Governance, Kemmy Business School, University ofCorreu electrònic verificat a ul.ie
German CastignaniLuxembourg Institute for Science and TechnologyCorreu electrònic verificat a castignani.com.ar
Arash KiaAfiniti Inc. AI R&DCorreu electrònic verificat a afiniti.com
Craig A. PolandSenior Research Fellow, University of EdinburghCorreu electrònic verificat a ed.ac.uk
syed tofailuniversity of limerickCorreu electrònic verificat a ul.ie
anna costaistecCorreu electrònic verificat a istec.cnr.it
Mark CumminsProfessor of Financial Technology, University of StrathclydeCorreu electrònic verificat a strath.ac.uk
Danail HristozovGreendecision Srl - University Ca' Foscari of VeniceCorreu electrònic verificat a unive.it
Fearghal KearneyQueen's Business School, Queen's University BelfastCorreu electrònic verificat a fkearney.ie
Mahsa MirzaeiPost Doc. Researcher, PhDCorreu electrònic verificat a ul.ie
Antonio MarcominiProfessore Chimica dell'Ambiente e dei Beni CulturaliCorreu electrònic verificat a unive.it
Elena SemenzinUniversity Ca' Foscari VeniceCorreu electrònic verificat a unive.it
Rasel Das, Ph.D.Department of Chemistry, State University of New York at Stony Brook, NY, USACorreu electrònic verificat a daad-alumni.de
Paride ManteccaResearcher, University of Milano BicoccaCorreu electrònic verificat a unimib.it
Hans BouwmeesterWageningen University and ResearchCorreu electrònic verificat a wur.nl

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Finbarr Murphy

Executive Dean. Professor in Quantitative Finance, University of Limerick

Correu electrònic verificat a ul.ie

Quantitative Finance Emerging Risk Machine Learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	336	2022
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	238	2019
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	136	2019
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	111	2018
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	99	2019
Practices and trends of machine learning application in nanotoxicology I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland Nanomaterials 10 (1), 116, 2020	96	2020
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	92	2020
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	90	2022
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	84	2017
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	80	2016
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	79	2019
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	74	2020
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	68	2021
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	66	2019
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	64	2020
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	63	2017
A machine learning tool to predict the antibacterial capacity of nanoparticles M Mirzaei, I Furxhi, F Murphy, M Mullins Nanomaterials 11 (7), 1774, 2021	56	2021
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	51	2020
Deep learning in insurance: Accuracy and model interpretability using TabNet K McDonnell, F Murphy, B Sheehan, L Masello, G Castignani Expert Systems with Applications 217, 119543, 2023	48	2023
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	47	2019

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