Anomaly and Event Detection for Unsupervised Athlete Performance Data. - Jim O'Donoghue; Mark Roantree; Bryan Cullen; Niall Moyna; Conor O. Sullivan; Andrew McCarren (LWA, 2015)

Variable interactions in risk factors for dementia. - Jim O'Donoghue; Mark Roantree; Andrew McCarren (RCIS, 2016)

Anomaly detection in agri warehouse construction. - Andrew McCarren; Suzanne McCarthy; Conor O. Sullivan; Mark Roantree (ACSW, 2017)

Multi-Resolution Forecast Aggregation for Time Series in Agri Datasets. - Fouad Bahrpeyma; Mark Roantree; Andrew McCarren (AICS, 2017)

Detecting Feature Interactions in Agricultural Trade Data Using a Deep Neural Network. - Jim O'Donoghue; Mark Roantree; Andrew McCarren (DaWaK, 2017)

Data Mining in Agri Warehouses Using MODWT Wavelet Analysis. - Ken Bailey; Mark Roantree; Martin Crane; Andrew McCarren (ICIST, 2017)

Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches. - Fouad Bahrpeyma; Mark Roantree; Andrew McCarren (DaWaK, 2018)

Combining Web and Enterprise Data for Lightweight Data Mart Construction. - Suzanne McCarthy; Andrew McCarren; Mark Roantree (DEXA (2), 2018)

Fact or Factitious? Contextualized Opinion Spam Detection. - Stefan Kennedy; Niall Walsh; Kirils Sloka; Andrew McCarren; Jennifer Foster (ACL (2), 2019)

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)

A Method for Automated Transformation and Validation of Online Datasets. - Suzanne McCarthy; Andrew McCarren; Mark Roantree (EDOC, 2019)

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

A Multivocal Literature Review of Function-as-a-Service (FaaS) Infrastructures and Implications for Software Developers. - Jake Grogan; Connor Mulready; James McDermott; Martynas Urbanavicius; Murat Yilmaz 001; Yalemisew M. Abgaz; Andrew McCarren; Silvana Togneri MacMahon; Vahid Garousi; Peter Elger; Paul M. Clarke (EuroSPI, 2020)

Forecasting Gold Prices Using Temporal Convolutional Networks. - Justin Fajou; Andrew McCarren (AICS, 2021)

Detection of Covid-19 From an Imbalanced Chest X-ray Image Data Set. - Sharath Madhu Manjunath; Manju Gurjar; Neil O'Kane; Andrew McCarren; Leonardo Gualano (AICS, 2021)

Investigating Sources and Effects of Bias in AI-Based Systems - Results from an MLR. - Caoimhe De Buitlear; Ailbhe Byrne; Eric McEvoy; Abasse Camara; Murat Yilmaz 001; Andrew McCarren; Paul M. Clarke (EuroSPI (1), 2023)

Constructing a Meta-Learner for Unsupervised Anomaly Detection. - Malgorzata Gutowska; Suzanne Little; Andrew McCarren (IEEE Access, 2023)

Exploring the Trie of Rules: a fast data structure for the representation of association rules. - Mikhail Kudriavtsev; Marija Bezbradica; Andrew McCarren (CoRR, 2023)

Decomposition of Monolith Applications Into Microservices Architectures: A Systematic Review. - Yalemisew M. Abgaz; Andrew McCarren; Peter Elger; David Solan; Neil Lapuz; Marin Bivol; Glenn Jackson; Murat Yilmaz 001; Jim Buckley; Paul M. Clarke (IEEE Trans. Software Eng., 2023)

The Impact of CLIP Encoders and CNN Architectures on Model Efficiency: A Case Study on Hate Speech Detection. - Christof Kälin; Ellen Rushe; Stefan Kull; Andrew McCarren (AICS, 2024)

Investigating Systems Modernisation: Approaches, Challenges and Risks. - Gareth Hogan; Patricija Shalkauskaite; Mengte Zhu; Martin Derwin; Murat Yilmaz 001; Andrew McCarren; Paul M. Clarke (EuroSPI (1), 2024)

Efficient Visualization of Association Rule Mining Using the Trie of Rules. - Mikhail Kudriavtsev; Andrew McCarren; Hyowon Lee 001; Marija Bezbradica (KDIR, 2024)

Comparative Analysis of Methods for Performing a Side-Channel Video-Fingerprinting Attack. - Deborah Djon; Darragh Connaughton; Geoff Hamilton; Andrew McCarren (ISCC, 2024)

An Evaluation of Deep Learning Models for Stock Market Trend Prediction. - Gonzalo Lopez Gil; Paul Duhamel-Sebline; Andrew McCarren (CoRR, 2024)

Exploring the trie of rules: a fast data structure for the representation of association rules. - Mikhail Kudriavtsev; Vuong M. Ngo; Mark Roantree; Marija Bezbradica; Andrew McCarren (J. Intell. Inf. Syst., 2025)

A Meta-learner approach to multistep-ahead time series prediction. - Fouad Bahrpeyma; Vuong M. Ngo; Mark Roantree; Andrew McCarren (Int. J. Data Sci. Anal., 2025)