Michael Scriney

Assistant Professor

Dublin City University

Ireland

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About

Michael Scriney is an Assistant Professor at Dublin City University, Ireland. His research areas encompass machine learning applications in motor competence assessments, performance indicators in rugby, and the representation of female athletes in carbohydrate-based fuelling studies. Additionally, he explores the activity profiles of elite referees in Gaelic football and hurling, as well as issues related to information and media literacy in the context of AI.

Articles (16)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (17)

Peter Tiernan

Dublin City University

IRELAND

Michael Scriney

Research Interests

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About

Articles (16)

Key Performance Indicators in Rugby Sevens: A Systematic Review

The impact of high-potential status on progression and conversion within a male rugby union talent system

Streamlining Motor Competence Assessments via a Machine Learning Approach

Less than 4% of participants in studies of carbohydrate-based fuelling strategies for soccer performance have been female: results from an audit of her representation

Temporal Changes and Between-Competition Differences in the Activity Profile of Elite Hurling Referees

Information and Media Literacy in the Age of AI: Options for the Future

Competitive level differences in the activity profile of elite Gaelic football referees

An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems

Activity profile of elite Gaelic football referees during competitive match play

Supporting second language learner reflection in teletandem videoconferencing through the visualisation of conversation metrics

Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning

Playback-centric visualizations of video usage using weighted interactions to guide where to watch in an educational context

From data acquisition to validation: a complete workflow for predicting individual customer lifetime value

CASIE - Computing affect and social intelligence for healthcare in an ethical and trustworthy manner

Using artificial intelligence to automate meat cut identification from the semimembranosus muscle on beef boning lines

Identification of movement categories and associated velocity thresholds for elite Gaelic football and hurling referees

Collaborators (17)

Peter Tiernan

Adamantios Koumpis

Andrew McCarren

Niall Moyna

Mingming Liu

Aphra Kerr

Alan F. Smeaton

Mark Roantree

Áine MacNamara

Hannah Goss

Enda Donlon

Anna Donnla O'Hagan

Stephen Behan

Dongyun Nie

Hua Guo

Jane Walsh

Inmaculada Gómez Soler

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