Autonomous Vehicles and Embedded Artificial Intelligence: The Challenges of Framing Machine Driving Decisions. - Martin Cunneen; Martin Mullins; Finbarr Murphy (Appl. Artif. Intell., 2019)

Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma. - Martin Cunneen; Martin Mullins; Finbarr Murphy; Seán Gaines (Appl. Artif. Intell., 2019)

The impact of autonomous vehicle technologies on product recall risk. - Finbarr Murphy; Fabian Pütz; Martin Mullins; Torsten Rohlfs; Dennis Wrana; Michael Biermann (Int. J. Prod. Res., 2019)

Artificial intelligence assistants and risk: framing a connectivity risk narrative. - Martin Cunneen; Martin Mullins; Finbarr Murphy (AI Soc., 2020)

Autonomous Vehicles and Avoiding the Trolley (Dilemma): Vehicle Perception, Classification, and the Challenges of Framing Decision Ethics. - Martin Cunneen; Martin Mullins; Finbarr Murphy; Darren Shannon; Irini Furxhi; Cian Ryan (Cybern. Syst., 2020)

Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach. - Irini Furxhi; Arash Negahdari Kia; Darren Shannon; Tim Jannusch; Finbarr Murphy; Barry Sheehan (Array, 2021)

Dynamic communication and perception of cyber risk: Evidence from big data in media. - Wei Xu; Finbarr Murphy; Xian Xu; Wenpeng Xing (Comput. Hum. Behav., 2021)

Regulatory and Technical Constraints: An Overview of the Technical Possibilities and Regulatory Limitations of Vehicle Telematic Data. - Kevin McDonnell; Finbarr Murphy; Barry Sheehan; Leandro Masello; German Castignani; Cian Ryan (Sensors, 2021)

End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach. - Cian Ryan; Finbarr Murphy; Martin Mullins (IEEE Trans. Intell. Transp. Syst., 2021)

Using network structure and community detection to discover important website features when distinguishing between phishing and legitimate ones. - Arash Negahdari Kia; Finbarr Murphy; Zahra Dehghani Mohammadabadi; Parisa Shamsi (CoRR, 2022)

Deep learning in insurance: Accuracy and model interpretability using TabNet. - Kevin McDonnell; Finbarr Murphy; Barry Sheehan; Leandro Masello; German Castignani (Expert Syst. Appl., 2023)

Enhancing cyber insurance strategies: exploring reinsurance and alternative risk transfer approaches. - Frank Cremer; Barry Sheehan; Martin Mullins; Michael Fortmann; Stefan Materne; Finbarr Murphy (J. Cybersecur., 2024)

A cyber risk prediction model using common vulnerabilities and exposures. - Arash Negahdari Kia; Finbarr Murphy; Barry Sheehan; Darren Shannon (Expert Syst. Appl., 2024)

Predictive Modeling for Driver Insurance Premium Calculation Using Advanced Driver Assistance Systems and Contextual Information. - Leandro Masello; Barry Sheehan; German Castignani; Montserrat Guillen; Finbarr Murphy (IEEE Trans. Intell. Transp. Syst., 2025)