Ruairi O'Reilly

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Physiological Data

Cervical Cancer

Machine Learning Models

Top Venues

Artif. Intell. Rev.

Publications

Muhammad Muneeb Saad, Ruairi O'Reilly, Mubashir Husain Rehmani
A survey on training challenges in generative adversarial networks for biomedical image analysis. Artif. Intell. Rev. 57 (2) (2024)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Early Stopping Criteria for Training Generative Adversarial Networks in Biomedical Imaging. CoRR (2024)
Urja Pawar, Donna O'Shea, Ruairi O'Reilly, Maebh Costello, Christian Beder
Optimal Neighborhood Contexts in Explainable AI: An Explanandum-Based Evaluation. IEEE Open J. Comput. Soc. 5 (2024)
Urja Pawar, Christian Beder, Ruairi O'Reilly, Donna O'Shea
On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI. CLeaR (2024)
Gyanendar Manohar, Ruairi O'Reilly
InceptionCaps: A Performant Glaucoma Classification Model for Data-scarce Environment. CoRR (2023)
Zachary Dair, Samantha Dockray, Ruairi O'Reilly
Complex Adaptive Systems and Psychophysiological Data - An Exploratory Approach. AICS (2023)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Assessing Intra-class Diversity and Quality of Synthetically Generated Images in a Biomedical and Non-biomedical Setting. CoRR (2023)
Gyanendar Manohar, Ruairi O'Reilly
InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environment. AICS (2023)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images. CoRR (2023)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images. CoRR (2022)
Cristina-Madalina Dragan, Ruairi O'Reilly
Evaluating Generatively Synthesized Diabetic Retinopathy Imagery. CoRR (2022)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis. AICS (2022)
Zachary Dair, Samantha Dockray, Ruairi O'Reilly
Variance in Classifying Affective State via Electrocardiogram and Photoplethysmography. CoRR (2022)
Zachary Dair, Muhammad Muneeb Saad, Urja Pawar, Samantha Dockray, Ruairi O'Reilly
Classification of Stress via Ambulatory ECG and GSR Data. CoRR (2022)
Muhammad Muneeb Saad, Ruairi O'Reilly, Mubashir Husain Rehmani
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis. CoRR (2022)
Brendan Lyden, Zachary Dair, Ruairi O'Reilly
Classification of Sleep Apnea via SpO2 in a Simulated Smartwatch Environment. BHI (2022)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray Images. EMBC (2022)
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O'Reilly
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis. CoRR (2022)
Zachary Dair, Samantha Dockray, Ruairi O'Reilly
Inter and Intra Signal Variance in Feature Extraction and Classification of Affective State. AICS (2022)
Zachary Dair, Ryan Donovan, Ruairi O'Reilly
Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features. CoRR (2021)
Zachary Dair, Ryan Donovan, Ruairi O'Reilly
Linguistic and Gender Variation in Speech Emotion Recognition Using Spectral Features. AICS (2021)
Ryan Donovan, Aoife Johnson, Aine deRoiste, Ruairi O'Reilly
A Multimodal Workflow for Modeling Personality and Emotions to Enable User Profiling and Personalisation. VISIGRAPP (2: HUCAPP) (2021)
Urja Pawar, Christopher T. Culbert, Ruairi O'Reilly
Evaluating Hierarchical Medical Workflows using Feature Importance. CBMS (2021)
Urja Pawar, Donna O'Shea, Susan Rea, Ruairi O'Reilly
Incorporating Explainable Artificial Intelligence (XAI) to aid the Understanding of Machine Learning in the Healthcare Domain. AICS (2020)
Ryan Donovan, Aoife Johnson, Aine deRoiste, Ruairi O'Reilly
Quantifying the Links Between Personality Sub-traits and the Basic Emotions. ICCSA (2) (2020)
Urja Pawar, Donna O'Shea, Susan Rea, Ruairi O'Reilly
Explainable AI in Healthcare. CyberSA (2020)
Ryan Donovan, Aoife Johnson, Ruairi O'Reilly
Differentiation in Personality Emotion Mappings From Self Reported Emotion and Automatically Classified Emotion. AICS (2020)
Sean Quinlan, Haithem Afli, Ruairi O'Reilly
A Comparative Analysis of Classification Techniques for Cervical Cancer Utilising At Risk Factors and Screening Test Results. AICS (2019)
P. Nisha, Urja Pawar, Ruairi O'Reilly
Interpretable Machine Learning Models for Assisting Clinicians in the Analysis of Physiological Data. AICS (2019)
Jack Hickey, Ruairi O'Reilly
Enabling Multi-Party Consensual Data Exchange Through Blockchain. AICS (2019)
Gaurav Kumar, Urja Pawar, Ruairi O'Reilly
Arrhythmia Detection in ECG Signals Using a Multilayer Perceptron Network. AICS (2019)