| 2025 | SIGCSE | International Mobility for PhD Students: Key Learnings. | Cecilia O. Alm, Reynold Bailey, Sarah Jane Delany, Georgiana Ifrim, Brian Mac Namee, Esa M. Rantanen, Ferat Sahin |
| 2025 | SGAI | This Looks Like that and that and that: Multi-objective Optimization for Diverse Prototype Learning. | Alec Parise, Brian Mac Namee |
| 2024 | CVPR | Deploying Machine Learning Anomaly Detection Models to Flight Ready AI Boards. | James Murphy, Maria Buckley, Lonie Buckley, Adam Taylor, Jake O'Brien, Brian Mac Namee |
| 2024 | ITiCSE | Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. | Joyce Mahon, Brian Mac Namee, Brett A. Becker |
| 2023 | AAAI | PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. | Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan |
| 2023 | ACL | What Makes Pre-trained Language Models Better Zero-shot Learners? | Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan |
| 2023 | DIS | Unlearning Spurious Correlations in Chest X-Ray Classification. | Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee |
| 2023 | ICAART | Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data. | Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee |
| 2023 | ICTAI | Distance-Aware eXplanation Based Learning. | Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee |
| 2023 | SGAI | Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. | Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee |
| 2023 | SGAI | Exploring Optimal Configurations in Active Learning for Medical Imaging. | Alec Parise, Brian Mac Namee |
| 2023 | SGAI | Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. | Qin Ruan, Brian Mac Namee, Ruihai Dong |
| 2022 | CVPR | Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. | Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness |
| 2022 | ECAI | Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. | Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee |
| 2022 | ISMIS | Impact of Feedback Type on Explanatory Interactive Learning. | Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee |
| 2022 | SMC | Random Walk-steered Majority Undersampling. | Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee |
| 2022 | SIGCSE | A Novel Machine Learning and Artificial Intelligence Course for Secondary School Students. | Joyce Mahon, Keith Quille, Brian Mac Namee, Brett A. Becker |
| 2021 | DIS | A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. | Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee |
| 2021 | ICONIP | On the Importance of Regularisation and Auxiliary Information in OOD Detection. | John Mitros, Brian Mac Namee |
| 2020 | ECCV | Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. | John Mitros, Arjun Pakrashi, Brian Mac Namee |
| 2020 | ICIP | Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. | Min Jing, Brian Mac Namee, Donal McLaughlin, David Steele, Sara McNamee, Patrick Cullen, Dewar D. Finlay, James McLaughlin |
| 2020 | LREC | Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks. | Jinghui Lu, Maeve Henchion, Brian Mac Namee |
| 2019 | ICASSP | Anomaly Detection in Raw Audio Using Deep Autoregressive Networks. | Ellen Rushe, Brian Mac Namee |
| 2019 | SGAI | CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper). | Arjun Pakrashi, Brian Mac Namee |
| 2019 | SGAI | Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. | Niladri Sett, Brian Mac Namee, Francesc Calvo, Brian Caulfield, John Costello, Seamas Donnelly, Jonas F. Dorn, Louis Jeay, Alison Keogh, Killian McManus, Ronan H. Mullan, Emer O'Hare, Caroline G. M. Perraudin |
| 2018 | MDM | ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data. | Shen Wang, Aditya Grover, Brian Mac Namee, Philip Plantholt, Javier Lopez-Leones, Pablo Sanchez-Escalonilla |
| 2018 | VISSOFT | Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. | Ivan Bacher, Brian Mac Namee, John D. Kelleher |
| 2018 | VISSOFT | The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. | Ivan Bacher, Brian Mac Namee, John D. Kelleher |
| 2017 | RecSys | Rating by Ranking: An Improved Scale for Judgement-Based Labels. | Jack O'Neill, Sarah Jane Delany, Brian Mac Namee |
| 2016 | VISSOFT | On Using Tree Visualisation Techniques to Support Source Code Comprehension. | Ivan Bacher, Brian Mac Namee, John D. Kelleher |
| 2014 | ICCBR | NudgeAlong: A Case Based Approach to Changing User Behaviour. | Eoghan O'Shea, Sarah Jane Delany, Rob Lane, Brian Mac Namee |
| 2014 | ICMI | Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues. | Niels Schtte, John D. Kelleher, Brian Mac Namee |
| 2012 | IVA | The Turning, Stretching and Boxing Technique: A Step in the Right Direction. | Mark Dunne, Brian Mac Namee, John D. Kelleher |
| 2011 | FDG | Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents. | Colm Sloan, John D. Kelleher, Brian Mac Namee |
| 2011 | ICDM | Drift Detection Using Uncertainty Distribution Divergence. | Patrick Lindstrom, Brian Mac Namee, Sarah Jane Delany |
| 2010 | FlAIRS | Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning. | Rong Hu, Brian Mac Namee, Sarah Jane Delany |
| 2010 | FlAIRS | Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost. | Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee |
| 2010 | ICCBR | EGAL: Exploration Guided Active Learning for TCBR. | Rong Hu, Sarah Jane Delany, Brian Mac Namee |
| 2010 | ICCBR | CBTV: Visualising Case Bases for Similarity Measure Design and Selection. | Brian Mac Namee, Sarah Jane Delany |
| 2009 | ISMAR | Forked! A demonstration of physics realism in augmented reality. | David Beaney, Brian Mac Namee |
| 2009 | IVA | Widening the Evaluation Net. | Brian Mac Namee, Mark Dunne |
| 2008 | INLG | Referring Expression Generation Challenge 2008 DIT System Descriptions (DIT-FBI, DIT-TVAS, DIT-CBSR, DIT-RBR, DIT-FBI-CBSR, DIT-TVAS-RBR). | John D. Kelleher, Brian Mac Namee |