Efficient Cube Construction for Smart City Data. - Michael Scriney; Mark Roantree (EDBT/ICDT Workshops, 2016)

Generating cubes from smart city web data. - Michael Scriney; Martin F. O'Connor; Mark Roantree (ACSW, 2017)

Integrating Online Data for Smart City Data Marts. - Michael Scriney; Martin F. O'Connor; Mark Roantree (BICOD, 2017)

Identifying Extra-terrestrial Intelligence Using Machine Learning. - Malgorzata Gutowska; Michael Scriney; Andrew McCarren (AICS, 2019)

Representative Sample Extraction from Web Data Streams. - Michael Scriney; Congcong Xing; Andrew McCarren; Mark Roantree (DEXA (1), 2019)

Automating Data Mart Construction from Semi-structured Data Sources. - Michael Scriney; Suzanne McCarthy; Andrew McCarren; Paolo Cappellari; Mark Roantree (Comput. J., 2019)

Predicting Customer Churn for Insurance Data. - Michael Scriney; Dongyun Nie; Mark Roantree (DaWaK, 2020)

The L2L System for Second Language Learning Using Visualised Zoom Calls Among Students. - Aparajita Dey-Plissonneau; Hyowon Lee 001; Vincent Pradier; Michael Scriney; Alan F. Smeaton (EC-TEL, 2021)

Usage-Based Summaries of Learning Videos. - Hyowon Lee 001; Mingming Liu 001; Michael Scriney; Alan F. Smeaton (EC-TEL, 2021)

Attention Based Video Summaries of Live Online Zoom Classes. - Hyowon Lee 001; Mingming Liu 001; Hamza Riaz; Navaneethan Rajasekaren; Michael Scriney; Alan F. Smeaton (CoRR, 2021)

Facilitating reflection in teletandem through automatically generated conversation metrics and playback video. - Aparajita Dey-Plissonneau; Hyowon Lee 001; Michael Scriney; Alan F. Smeaton; Vincent Pradier; Hamza Riaz (CoRR, 2021)

CASIE - Computing affect and social intelligence for healthcare in an ethical and trustworthy manner. - Laurentiu Vasiliu; Keith Cortis; Ross McDermott; Aphra Kerr; Arne Peters; Marc Hesse; Jens Hagemeyer; Tony Belpaeme; John McDonald 001; Rudi C. Villing; Alessandra Mileo; Annalina Capulto; et al. (Paladyn J. Behav. Robotics, 2021)

Entity Resolution for Multiple Sources with Extended Approach. - Phuc Pham Huu; Dongyun Nie; Michael Scriney (AICS, 2022)

An Analysis of Conversational Volatility During Telecollaboration Sessions for Second Language Learning. - Aparajita Dey-Plissonneau; Hyowon Lee 001; Mingming Liu 001; Vyoma Patel; Michael Scriney; Alan F. Smeaton (CoRR, 2022)

Analysis of Individual Conversational Volatility in Tandem Telecollaboration for Second Language Learning. - Alan F. Smeaton; Aparajita Dey-Plissonneau; Hyowon Lee 001; Mingming Liu 001; Michael Scriney (CoRR, 2022)

Playback-centric visualisations of video usage using weighted interactions to guide where to watch in an educational context. - Hyowon Lee 001; Mingming Liu 001; Michael Scriney; Alan F. Smeaton (CoRR, 2022)

Engineering Data Assets for Public Health Applications: A Covid-19 Case Study. - Michael Scriney; Mohan Timilsina; Edward Curry; Lukasz Porwol; Dongyun Nie; Darren Dahley; Jaime B. Fernandez; Mathieu d'Aquin; Mark Roantree (IEEE Big Data, 2023)

Constructing a Searchable Knowledge Repository for FAIR Climate Data. - Mark Roantree; Branislava Lalic; Stevan Savic; Dragan Milosevic; Michael Scriney (CoRR, 2023)

Activity Classification for Daily Lifelogs. - Dongyun Nie; Cathal Gurrin; Michael Scriney (AIQAM@ICMR, 2024)

Using a Spatial Grid Model to Interpret Players Movement in Field Sports. - Valerio Antonini; Michael Scriney; Alessandra Mileo; Mark Roantree (DaWaK, 2024)

A Framework for Spatio-Temporal Graph Analytics In Field Sports. - Valerio Antonini; Michael Scriney; Alessandra Mileo; Mark Roantree (CoRR, 2024)

An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems. - Hua Guo; Michael Scriney; Kecheng Liu (Inf. Syst. Frontiers, 2024)

Correction to: An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems. - Hua Guo; Michael Scriney; Kecheng Liu (Inf. Syst. Frontiers, 2024)

Meta-Dataset. - Asma Slaimi; Iqra Mustafa; Susan Hegarty; Fiona Regan; Noel E. O'Connor; Michael Scriney (Zenodo, 2025)