An Agent Framework for the Analysis of Streaming Physiological Data. - Ruairi D. O'Reilly; Philip D. Healy; John P. Morrison; Geraldine B. Boylan (eHealth, 2010)

Interactive annotations to support collaborative analysis of streaming physiological data. - Philip D. Healy; Ruairi D. O'Reilly; Geraldine B. Boylan; John P. Morrison (CBMS, 2011)

A system for the transmission, processing and visualisation of EEG to support Irish Neonatal Intensive Care Units. - Ruairi D. O'Reilly; John P. Morrison; Carolyn McGregor (CCECE, 2012)

Enabling Multi-Party Consensual Data Exchange Through Blockchain. - Jack Hickey; Ruairi O'Reilly (AICS, 2019)

Arrhythmia Detection in ECG Signals Using a Multilayer Perceptron Network. - Gaurav Kumar; Urja Pawar; Ruairi O'Reilly (AICS, 2019)

Interpretable Machine Learning Models for Assisting Clinicians in the Analysis of Physiological Data. - P. Nisha; Urja Pawar; Ruairi O'Reilly (AICS, 2019)

A Comparative Analysis of Classification Techniques for Cervical Cancer Utilising At Risk Factors and Screening Test Results. - Sean Quinlan; Haithem Afli; Ruairi O'Reilly (AICS, 2019)

Differentiation in Personality Emotion Mappings From Self Reported Emotion and Automatically Classified Emotion. - Ryan Donovan; Aoife Johnson; Ruairi O'Reilly (AICS, 2020)

Incorporating Explainable Artificial Intelligence (XAI) to aid the Understanding of Machine Learning in the Healthcare Domain. - Urja Pawar; Donna O'Shea; Susan Rea; Ruairi O'Reilly (AICS, 2020)

Explainable AI in Healthcare. - Urja Pawar; Donna O'Shea; Susan Rea; Ruairi O'Reilly (CyberSA, 2020)

Quantifying the Links Between Personality Sub-traits and the Basic Emotions. - Ryan Donovan; Aoife Johnson; Aine deRoiste; Ruairi O'Reilly (ICCSA (2), 2020)

Linguistic and Gender Variation in Speech Emotion Recognition Using Spectral Features. - Zachary Dair; Ryan Donovan; Ruairi O'Reilly (AICS, 2021)

Evaluating Hierarchical Medical Workflows using Feature Importance. - Urja Pawar; Christopher T. Culbert; Ruairi O'Reilly (CBMS, 2021)

A Multimodal Workflow for Modeling Personality and Emotions to Enable User Profiling and Personalisation. - Ryan Donovan; Aoife Johnson; Aine deRoiste; Ruairi O'Reilly (VISIGRAPP (2: HUCAPP), 2021)

Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State. - Zachary Dair; Samantha Dockray; Ruairi O'Reilly (AICS, 2022)

A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis. - Muhammad Muneeb Saad; Mubashir Husain Rehmani; Ruairi O'Reilly (AICS, 2022)

Classification of Sleep Apnea via SpO2 in a Simulated Smartwatch Environment. - Brendan Lyden; Zachary Dair; Ruairi O'Reilly (BHI, 2022)

Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images. - Muhammad Muneeb Saad; Mubashir Husain Rehmani; Ruairi O'Reilly (EMBC, 2022)

Variance in Classifying Affective State via Electrocardiogram and Photoplethysmography. - Zachary Dair; Samantha Dockray; Ruairi O'Reilly (CoRR, 2022)

Classification of Stress via Ambulatory ECG and GSR Data. - Zachary Dair; Muhammad Muneeb Saad; Urja Pawar; Samantha Dockray; Ruairi O'Reilly (CoRR, 2022)

Evaluating Generatively Synthesized Diabetic Retinopathy Imagery. - Cristina-Madalina Dragan; Ruairi O'Reilly (CoRR, 2022)

Complex Adaptive Systems and Psychophysiological Data - An Exploratory Approach. - Zachary Dair; Samantha Dockray; Ruairi O'Reilly (AICS, 2023)

InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environment. - Gyanendar Manohar; Ruairi O'Reilly (AICS, 2023)

Assessing Intra-class Diversity and Quality of Synthetically Generated Images in a Biomedical and Non-biomedical Setting. - Muhammad Muneeb Saad; Mubashir Husain Rehmani; Ruairi O'Reilly (CoRR, 2023)

A Real-Time Prediction System for Restaurant Orders Using Time Series and Behavioural Analytics: A Conceptual Framework. - Amir Arzy; Fereshteh Khodaparast; Ruairi O'Reilly (AICS, 2024)

On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI. - Urja Pawar; Christian Beder; Ruairi O'Reilly; Donna O'Shea (CLeaR, 2024)

The Dynamics of Explainability: Diverse Insights from SHAP Explanations using Neighbourhoods. - Urja Pawar; Ruairi O'Reilly; Christian Beder; Donna O'Shea (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging. - Muhammad Muneeb Saad; Mubashir Husain Rehmani; Ruairi O'Reilly (CoRR, 2024)

Study of Brain Network in Alzheimers Disease Using Wavelet-Based Graph Theory Method. - Ali Khazaee; Abdolreza Mohammadi 001; Ruairi O'Reilly (CoRR, 2024)

Optimal Neighborhood Contexts in Explainable AI: An Explanandum-Based Evaluation. - Urja Pawar; Donna O'Shea; Ruairi O'Reilly; Maebh Costello; Christian Beder (IEEE Open J. Comput. Soc., 2024)

A survey on training challenges in generative adversarial networks for biomedical image analysis. - Muhammad Muneeb Saad; Ruairi O'Reilly; Mubashir Husain Rehmani (Artif. Intell. Rev., 2024)

Adaptive input-image normalization for solving the mode collapse problem in GAN-based X-ray images. - Muhammad Muneeb Saad; Mubashir Husain Rehmani; Ruairi O'Reilly (Biomed. Signal Process. Control., 2026)