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)

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)

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

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

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)

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)

Detecting High-Stakes Interactions with Activation Probes. - Alex McKenzie; Urja Pawar; Phil Blandfort; William Bankes; David Krueger 001; Ekdeep Singh Lubana; Dmitrii Krasheninnikov (CoRR, 2025)