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Found 23 results
Filters: Author is M Mullins
2020
Cunneen M, Mullins M, Murphy F, Shannon D, Furxhi I, Ryan C.  2020.  Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics. Cybernetics and Systems. 51:59-80.
2019
Furxhi I, Murphy F, Poland C, Sheehan B, Mullins M, Mantecca P.  2019.  Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics. Nanotoxicology. 13:1-22.
Cunneen M, Mullins M, Murphy F.  2019.  Artificial intelligence assistants and risk: framing a connectivity risk narrative. AI & SOCIETY.
Cunneen M, Mullins M, Murphy F.  2019.  Artificial intelligence assistants and risk: framing a connectivity risk narrative. AI & Society.
Cunneen M, Mullins M, Murphy F.  2019.  Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions. Applied Artificial Intelligence.
Sheehan B, Murphy F, Mullins M, Ryan C.  2019.  Connected and autonomous vehicles: A cyber-risk classification framework. Transportation Research Part A: Policy and Practice.
Pütz F, Murphy F, Mullins M, O'Malley L.  2019.  Connected automated vehicles and insurance: Analysing future market-structure from a business ecosystem perspective. Technology in Society. 59:101182.
Pütz F, Murphy F, Mullins M.  2019.  Driving to a future without accidents? Connected automated vehicles' impact on accident frequency and motor insurance risk Environment Systems and Decisions.
Bellet T, Cunneen M, Mullins M, Murphy F, Pütz F, Spickermann F, Braendle C, Baumann MFelicitas.  2019.  From semi to fully autonomous vehicles: New emerging risks and ethico-legal challenges for human-machine interactions. Transportation Research Part F: Traffic Psychology and Behaviour. 63:153-164.
Murphy F, Pütz F, Mullins M, Rohlfs T, Wrana D, Biermann M.  2019.  The impact of autonomous vehicle technologies on product recall risk. International Journal of Production Research. :1-14.
Furxhi I, Murphy F, Mullins M, Poland CA.  2019.  Machine Learning Prediction of Nanoparticle In Vitro Toxicity: A Comparative Study of Classifiers and Ensemble-Classifiers using the Copeland Index. Toxicology Letters.
2018
Shannon D, Murphy F, Mullins M, Eggert J.  2018.  Applying crash data to injury claims - an investigation of determinant factors in severe motor vehicle accidents. Accident Analysis & Prevention. 113:244-256.
Cunneen M, Mullins M, Murphy F, Gaines S.  2018.  Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma. Applied Artificial Intelligence. 33:1-27.
Sheehan B, Murphy F, Mullins M, Furxhi I, Costa A.L, Simeone F.C, Mantecca P.  2018.  Hazard Screening Methods for Nanomaterials: A Comparative Study. Int. J. Mol. Sci.
Sheehan B, Murphy F, Mullins M, Furxhi I, Costa A.L, Simeone F.C, Mantecca P.  2018.  Hazard Screening Methods for Nanomaterials: A Comparative Study . International journal of molecular sciences.
Furxhi I, Murphy F, Sheehan B, Mullins M, Mantecca P.  2018.  Predicting Nanomaterials toxicity pathways based on genome-wide transcriptomics studies using Bayesian networks. 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO).
Pütz F, Murphy F, Mullins M, MAIER K, FRIEL R, Rohlfs T.  2018.  Reasonable, Adequate and Efficient Allocation of Liability Costs for Automated Vehicles: A Case Study of the German Liability and Insurance Framework. European Journal of Risk Regulation. 9:548–563.
Pütz F, Murphy F, Mullins M, MAIER K, FRIEL R, Rohlfs T.  2018.  Reasonable, Adequate and Efficient Allocation of Liability Costs for Automated Vehicles: A Case Study of the German Liability and Insurance Framework. European Journal of Risk Regulation. 9:1-16.
Ryan C, Murphy F, Mullins M.  2018.  Semiautonomous Vehicle Risk Analysis: A Telematics‐Based Anomaly Detection Approach. Risk Analysis. 39
2017
Marvin HJP, Bouzembrak H.J.P, Janssen Y, van der Zande W.M, Murphy M, Sheehan F, Mullins M, Stone v, Bouwmeester H.  2017.  Application of Bayesian Networks for the Human Hazard Prediction and Safety Assessment of Nanomaterials. Nanotoxicology.
Stone V, Führ M, Feindt PH, Bouwmeester H, Linkov I, Sabella S, Murphy F, Bizer K, Tran L, Ågerstrand M et al..  2017.  The Essential Elements of a Risk Governance Framework for Current and Future Nanotechnologies. Risk Analysis. :n/a–n/a.
Murphy F, Mullins M, Hester K, Gelwick A, Scott-Fordsmand J.J, Maynard T.  2017.  Insuring nanotech requires effective risk communication. Nature Nanotechnology.
Sheehan B, Murphy F, Ryan C, Mullins M, Liu HYue.  2017.  Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach. Transportation Research Part C: Emerging Technologies. 82:124-137.

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