Finbarr Murphy

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	Toate	Din 2020
Referințe bibliografice	3145	2763
h-index	31	29
i10-index	60	53

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Martin MullinsProf. Risk Management, University of LimerickAdresă de e-mail confirmată pe ul.ie
Barry SheehanKemmy Business School, University of LimerickAdresă de e-mail confirmată pe ul.ie
Irini FurxhiConsiglio Nazionale delle RicercheAdresă de e-mail confirmată pe ul.ie
Cian RyanXperiAdresă de e-mail confirmată pe xperi.com
Dr Máirtín CunneenAssociate Professor in Data Analytics and Risk Governance, Kemmy Business School, University ofAdresă de e-mail confirmată pe ul.ie
Darren ShannonAssoc. Prof of Quantitative FinanceAdresă de e-mail confirmată pe ul.ie
German CastignaniLuxembourg Institute for Science and TechnologyAdresă de e-mail confirmată pe castignani.com.ar
Craig A. PolandSenior Research Fellow, University of EdinburghAdresă de e-mail confirmată pe ed.ac.uk
Arash KiaAfiniti Inc. AI R&DAdresă de e-mail confirmată pe afiniti.com
syed tofailuniversity of limerickAdresă de e-mail confirmată pe ul.ie
anna costaistecAdresă de e-mail confirmată pe istec.cnr.it
Mark CumminsProfessor of Financial Technology, University of StrathclydeAdresă de e-mail confirmată pe strath.ac.uk
Danail HristozovGreendecision Srl - University Ca' Foscari of VeniceAdresă de e-mail confirmată pe unive.it
Fearghal KearneyQueen's Business School, Queen's University BelfastAdresă de e-mail confirmată pe fkearney.ie
Mahsa MirzaeiPost Doc. Researcher, PhDAdresă de e-mail confirmată pe ul.ie
Antonio MarcominiProfessore Chimica dell'Ambiente e dei Beni CulturaliAdresă de e-mail confirmată pe unive.it
Elena SemenzinUniversity Ca' Foscari VeniceAdresă de e-mail confirmată pe unive.it
Rasel Das, Ph.D.Department of Chemistry, State University of New York at Stony Brook, NY, USAAdresă de e-mail confirmată pe daad-alumni.de
Paride ManteccaResearcher, University of Milano BicoccaAdresă de e-mail confirmată pe unimib.it
Hans BouwmeesterWageningen University and ResearchAdresă de e-mail confirmată pe wur.nl

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Finbarr Murphy

Executive Dean. Professor in Quantitative Finance, University of Limerick

Adresă de e-mail confirmată pe ul.ie

Quantitative Finance Emerging Risk Machine Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	335	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	241	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	139	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	110	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	100	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	98	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	95	2022
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
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	86	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	85	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	80	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	77	2020
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	64	2017
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	63	2021
A machine learning tool to predict the antibacterial capacity of nanoparticles M Mirzaei, I Furxhi, F Murphy, M Mullins Nanomaterials 11 (7), 1774, 2021	57	2021
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	50	2023
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	49	2020
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	49	2019

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