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Martin Mullins

Showing results (1-10 of 23) with videos related to

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Risk Analysis : an Official Publication of the Society for Risk Analysis|February 29, 2008
Contemporary terrorism: risk perception in the London options marketJohn Garvey, Martin Mullins
Risk Analysis : an Official Publication of the Society for Risk Analysis|October 26, 2018
Semiautonomous Vehicle Risk Analysis: A Telematics-Based Anomaly Detection ApproachCian Ryan, Finbarr Murphy, Martin Mullins
Patterns (New York, N.Y.)|October 25, 2021
Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance marketMartin Mullins, Christopher P Holland, Martin Cunneen
Accident; Analysis and Prevention|February 13, 2018
Applying crash data to injury claims - an investigation of determinant factors in severe motor vehicle accidentsDarren Shannon, Finbarr Murphy, Martin Mullins, et al.
Accident; Analysis and Prevention|August 2, 2020
A new version of the Behaviour of Young Novice Drivers Scale (BYNDS). Insights from a randomised sample of 700 German young novice driversTim Jannusch, Michaele Völler, Finbarr Murphy, et al.
Nanomaterials (Basel, Switzerland)|August 7, 2021
A Machine Learning Tool to Predict the Antibacterial Capacity of NanoparticlesMahsa Mirzaei, Irini Furxhi, Finbarr Murphy, et al.
Accident; Analysis and Prevention|May 16, 2020
Exploring the role of delta-V in influencing occupant injury severities - A mediation analysis approach to motor vehicle collisionsDarren Shannon, Finbarr Murphy, Martin Mullins, et al.
International Journal of Molecular Sciences|February 11, 2023
Employing Supervised Algorithms for the Prediction of Nanomaterial's Antioxidant EfficiencyMahsa Mirzaei, Irini Furxhi, Finbarr Murphy, et al.
Toxicology Letters|May 19, 2019
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland IndexIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Nanotoxicology|February 27, 2020
Nanotoxicology data for <i>in silico</i> tools: a literature reviewIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Risk Analysis : an Official Publication of the Society for Risk Analysis|February 29, 2008
Contemporary terrorism: risk perception in the London options marketJohn Garvey, Martin Mullins
Risk Analysis : an Official Publication of the Society for Risk Analysis|October 26, 2018
Semiautonomous Vehicle Risk Analysis: A Telematics-Based Anomaly Detection ApproachCian Ryan, Finbarr Murphy, Martin Mullins
Patterns (New York, N.Y.)|October 25, 2021
Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance marketMartin Mullins, Christopher P Holland, Martin Cunneen
Accident; Analysis and Prevention|February 13, 2018
Applying crash data to injury claims - an investigation of determinant factors in severe motor vehicle accidentsDarren Shannon, Finbarr Murphy, Martin Mullins, et al.
Accident; Analysis and Prevention|August 2, 2020
A new version of the Behaviour of Young Novice Drivers Scale (BYNDS). Insights from a randomised sample of 700 German young novice driversTim Jannusch, Michaele Völler, Finbarr Murphy, et al.
Nanomaterials (Basel, Switzerland)|August 7, 2021
A Machine Learning Tool to Predict the Antibacterial Capacity of NanoparticlesMahsa Mirzaei, Irini Furxhi, Finbarr Murphy, et al.
Accident; Analysis and Prevention|May 16, 2020
Exploring the role of delta-V in influencing occupant injury severities - A mediation analysis approach to motor vehicle collisionsDarren Shannon, Finbarr Murphy, Martin Mullins, et al.
International Journal of Molecular Sciences|February 11, 2023
Employing Supervised Algorithms for the Prediction of Nanomaterial's Antioxidant EfficiencyMahsa Mirzaei, Irini Furxhi, Finbarr Murphy, et al.
Toxicology Letters|May 19, 2019
Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland IndexIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Nanotoxicology|February 27, 2020
Nanotoxicology data for <i>in silico</i> tools: a literature reviewIrini Furxhi, Finbarr Murphy, Martin Mullins, et al.
Pageof 3