Brian Mac Namee

163 papers A* 3A 2B 14C 5Misc 3Journal 63Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Teacher Perspectives on Strengthening AI and Machine Learning in Ireland's Leaving Certificate Computer Science Curriculum. HCAIep Joyce Mahon, Brian Mac Namee, Brett A. Becker
2025	—	`conf`	Global Interpretability for ProtoPNet Using Rule-Based Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) Alec Parise, Brian Mac Namee
2025	—	`conf`	International Mobility for PhD Students: Key Learnings. SIGCSE (2) Cecilia O. Alm, Reynold Bailey, Sarah Jane Delany, Georgiana Ifrim, Brian Mac Namee, Esa M. Rantanen, Ferat Sahin
2025	—	`ed.`	Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2024. AICS Arjun Pakrashi, Ellen Rushe, Brian Mac Namee, Rob Brennan, Beyza Yaman
2025	—	`conf`	This Looks Like that and that and that: Multi-objective Optimization for Diverse Prototype Learning. AI (1) Alec Parise, Brian Mac Namee
2024	—	`conf`	Autonomous Satellite Health Monitoring using EIRSAT-1 Telemetry. AICS James Murphy, Muhammad Deedahwar Mazhar Qureshi, Jake O'Brien, Brian Mac Namee
2024	—	`conf`	Deploying Machine Learning Anomaly Detection Models to Flight Ready AI Boards. CVPR Workshops James Murphy, Maria Buckley, Léonie Buckley, Adam Taylor, Jake O'Brien, Brian Mac Namee
2024	—	`conf`	Explainable Interactive Machine Learning Using Prototypical Part Networks for Medical Image Analysis. HHAI Brian Mac Namee
2024	—	`conf`	Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. ITiCSE (1) Joyce Mahon, Brian Mac Namee, Brett A. Becker
2024	—	`conf`	Image Retrieval with Short Text Queries. AICS Ojas Rane, Brian Mac Namee, Conor Nugent
2024	—	`conf`	Mapping Upper Secondary Computer Science Specifications Against UNESCO's Framework of AI Learning Outcomes. AICS Joyce Mahon, Brian Mac Namee, Brett A. Becker
2024	A*	`conf`	PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition. NeurIPS Jinghui Lu, Yanjie Wang, Ziwei Yang, Xuejing Liu, Brian Mac Namee, Can Huang
2024	J	`jnl`	PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition. CoRR Jinghui Lu, Ziwei Yang, Yanjie Wang, Xuejing Liu, Brian Mac Namee, Can Huang
2024	—	`conf`	Post Primary Teachers' Perspectives on Machine Learning and Artificial Intelligence in the Leaving Certificate Computer Science Curriculum. Koli Calling Joyce Mahon, Brett A. Becker, Brian Mac Namee, Juho Leinonen
2024	A	`conf`	Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong
2024	J	`jnl`	The Effects of Media Bias on News Recommendations. IEEE Access Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	J	`jnl`	CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring. Frontiers Artif. Intell. Arjun Pakrashi, Duncan Wallace, Brian Mac Namee, Derek Greene, Christophe Guéret
2023	B	`conf`	Distance-Aware eXplanation Based Learning. ICTAI Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Distance-Aware eXplanation Based Learning. CoRR Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
2023	—	`conf`	Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues. AALTD@ECML/PKDD Changhong Jin, John Upton, Brian Mac Namee
2023	J	`jnl`	Explaining Knock-on Effects of Bias Mitigation. CoRR Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee
2023	—	`conf`	Exploring Optimal Configurations in Active Learning for Medical Imaging. SGAI Conf. Alec Parise, Brian Mac Namee
2023	—	`conf`	Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data. ICAART (2) Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
2023	—	`conf`	Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. SGAI Conf. Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
2023	—	`conf`	Investigating Temporal Features of Carotid Intima-Media Thickness from Ultrasound Imaging with Recurrent Neural Networks. EMBC Min Jing, Kathryn Owen, Brian Mac Namee, Iab B. A. Menown, James McLaughlin
2023	J	`jnl`	Learning from Exemplary Explanations. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter. SN Comput. Sci. Arjun Pakrashi, Brian Mac Namee
2023	—	`conf`	No More Pencils No More Books: Capabilities of Generative AI on Irish and UK Computer Science School Leaving Examinations. UKICER Joyce Mahon, Brian Mac Namee, Brett A. Becker
2023	A*	`conf`	PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. AAAI Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan
2023	J	`jnl`	Real-time bidding campaigns optimization using user profile settings. Electron. Commer. Res. Luis Miralles-Pechuán, Muhammad Atif Qureshi, Brian Mac Namee
2023	—	`conf`	Reducing Media Bias in News Headlines. AICS Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	A	`conf`	The Influence of Media Bias on News Recommender Systems. UMAP Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	B	`conf`	Unlearning Spurious Correlations in Chest X-Ray Classification. DS Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2023	J	`jnl`	Unlearning Spurious Correlations in Chest X-ray Classification. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2023	—	`conf`	Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. SGAI Conf. Qin Ruan, Brian Mac Namee, Ruihai Dong
2023	J	`jnl`	Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. CoRR Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
2023	—	`conf`	What Makes Pre-trained Language Models Better Zero-shot Learners? ACL (1) Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan
2022	—	`conf`	A Novel Machine Learning and Artificial Intelligence Course for Secondary School Students. SIGCSE (2) Joyce Mahon, Keith Quille, Brian Mac Namee, Brett A. Becker
2022	J	`jnl`	A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang
2022	—	`conf`	AI and ML in School Level Computing Education: Who, What and Where? AICS Joyce Mahon, Brett A. Becker, Brian Mac Namee
2022	—	`conf`	Deep Contextual Novelty Detection with Context Prediction. LIDTA Ellen Rushe, Brian Mac Namee
2022	J	`jnl`	Identifying Spurious Correlations and Correcting them with an Explanation-based Learning. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2022	C	`conf`	Impact of Feedback Type on Explanatory Interactive Learning. ISMIS Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2022	J	`jnl`	Impact of Feedback Type on Explanatory Interactive Learning. CoRR Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
2022	—	`conf`	Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. PAIS@ECAI Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
2022	J	`jnl`	PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets. CoRR Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan
2022	B	`conf`	Random Walk-steered Majority Undersampling. SMC Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
2022	—	`ed.`	The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, Dublin, Republic of Ireland, December 9-10, 2021. AICS Arjun Pakrashi, Ellen Rushe, Mehran Hossein Zadeh Bazargani, Brian Mac Namee
2022	J	`jnl`	The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. IEEE Access Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee
2022	—	`conf`	Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CVPR Workshops Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CoRR Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. CoRR Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness
2022	J	`jnl`	What Makes Pre-trained Language Models Better Zero/Few-shot Learners? CoRR Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan
2021	B	`conf`	A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. DS Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee
2021	J	`jnl`	A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data. CoRR Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee
2021	J	`jnl`	A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture. Expert Syst. J. Knowl. Eng. Arjun Pakrashi, Brian Mac Namee
2021	J	`jnl`	Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data. IEEE Access Liang Zhao, Kun Chen, Jie Song, Xiaoliang Zhu, Jianwen Sun, Brian Caulfield, Brian Mac Namee
2021	—	`conf`	Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. AICS Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee
2021	—	`conf`	Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us. AICS Qin Ruan, Brian Mac Namee, Ruihai Dong
2021	J	`jnl`	COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps. J. Biomed. Informatics Min Jing, Kok Yew Ng, Brian Mac Namee, Pardis Biglarbeigi, Rob Brisk, Raymond R. Bond, Dewar D. Finlay, James McLaughlin
2021	J	`jnl`	Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. CoRR Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee
2021	J	`jnl`	Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data. CoRR Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
2021	—	`conf`	ML-NCA: Multi-label Neighbourhood Component Analysis. LIDTA@ECML/PKDD Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee
2021	—	`conf`	Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications. AICS James Murphy, John E. Ward, Brian Mac Namee
2021	J	`jnl`	On the Importance of Regularisation & Auxiliary Information in OOD Detection. CoRR John Mitros, Brian Mac Namee
2021	—	`conf`	On the Importance of Regularisation and Auxiliary Information in OOD Detection. ICONIP (6) John Mitros, Brian Mac Namee
2021	J	`jnl`	Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows. CoRR Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee
2021	J	`jnl`	Pseudo-labelling Enhanced Media Bias Detection. CoRR Qin Ruan, Brian Mac Namee, Ruihai Dong
2021	J	`jnl`	Random Walk-steered Majority Undersampling. CoRR Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
2021	—	`conf`	Semi-supervised dry herbage mass estimation using automatic data and synthetic images. ICCVW Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	Semi-supervised dry herbage mass estimation using automatic data and synthetic images. CoRR Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
2021	J	`jnl`	The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. CoRR Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee
2020	J	`jnl`	A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases. J. Artif. Soc. Soc. Simul. Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2020	J	`jnl`	Can We Detect Mastitis earlier than Farmers? CoRR Cathal Ryan, Christophe Guéret, Donagh Berry, Brian Mac Namee
2020	J	`jnl`	Deep Context-Aware Novelty Detection. CoRR Ellen Rushe, Brian Mac Namee
2020	B	`conf`	Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks. LREC Jinghui Lu, Maeve Henchion, Brian Mac Namee
2020	B	`conf`	Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. ICIP Min Jing, Brian Mac Namee, Donal McLaughlin, David Steele, Sara McNamee, Patrick Cullen, Dewar D. Finlay, James McLaughlin
2020	J	`jnl`	KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise. IEEE Access Arjun Pakrashi, Brian Mac Namee
2020	J	`jnl`	Overlapping community finding with noisy pairwise constraints. Appl. Netw. Sci. Elham Abdullah Alghamdi, Ellen Rushe, Brian Mac Namee, Derek Greene
2020	—	`conf`	Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. ECCV Workshops (1) John Mitros, Arjun Pakrashi, Brian Mac Namee
2020	J	`jnl`	Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. CoRR John Mitros, Arjun Pakrashi, Brian Mac Namee
2020	—	`conf`	Valve Health Identification Using Sensors and Machine Learning Methods. IoT Streams/ITEM@PKDD/ECML Muhammad Atif Qureshi, Luis Miralles-Pechuán, Jason Payne, Ronan O'Malley, Brian Mac Namee
2020	—	`conf`	ZeChipC: Time Series Interpolation Method Based on Lebesgue Sampling. MICAI (1) Luis Miralles-Pechuán, Matthieu Bellucci, Muhammad Atif Qureshi, Brian Mac Namee
2019	J	`jnl`	A Categorisation of Post-hoc Explanations for Predictive Models. CoRR John Mitros, Brian Mac Namee
2019	—	`conf`	A Topic-Based Approach to Multiple Corpus Comparison. AICS Jinghui Lu, Maeve Henchion, Brian Mac Namee
2019	Misc	`conf`	Anomaly Detection in Raw Audio Using Deep Autoregressive Networks. ICASSP Ellen Rushe, Brian Mac Namee
2019	—	`conf`	Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. SGAI Conf. 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
2019	—	`conf`	CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper). SGAI Conf. Arjun Pakrashi, Brian Mac Namee
2019	J	`jnl`	CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification. CoRR Arjun Pakrashi, Brian Mac Namee
2019	J	`jnl`	Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets. CoRR Jinghui Lu, Maeve Henchion, Brian Mac Namee
2019	J	`jnl`	KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification. CoRR Arjun Pakrashi, Brian Mac Namee
2019	J	`jnl`	Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters. Inf. Sci. Arjun Pakrashi, Brian Mac Namee
2019	—	`conf`	On the Validity of Bayesian Neural Networks for Uncertainty Estimation. AICS John Mitros, Brian Mac Namee
2019	J	`jnl`	On the Validity of Bayesian Neural Networks for Uncertainty Estimation. CoRR John Mitros, Brian Mac Namee
2019	J	`jnl`	Real-time Bidding campaigns optimization using attribute selection. CoRR Luis Miralles, Muhammad Atif Qureshi, Brian Mac Namee
2019	—	`conf`	The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection. ECML/PKDD (1) Mehran Hossein Zadeh Bazargani, Brian Mac Namee
2019	J	`jnl`	ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling. CoRR Matthieu Bellucci, Luis Miralles, Muhammad Atif Qureshi, Brian Mac Namee
2018	—	`conf`	A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology. AICS Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2018	J	`jnl`	Deep learning at the shallow end: Malware classification for non-domain experts. CoRR Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
2018	J	`jnl`	Deep learning at the shallow end: Malware classification for non-domain experts. Digit. Investig. Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
2018	—	`conf`	From Rankings to Ratings: Rank Scoring via Active Learning. ISWC (Best Workshop Papers) Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
2018	—	`conf`	Identifying Urban Canopy Coverage from Satellite Imagery Using Convolutional Neural Networks. AICS Niamh Donnelly, Conor Nugent, Brian Mac Namee
2018	J	`jnl`	Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters. CoRR Arjun Pakrashi, Brian Mac Namee
2018	—	`conf`	MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. AICS Arjun Pakrashi, Elham Abdullah Alghamdi, Brian Mac Namee, Derek Greene
2018	J	`jnl`	MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. CoRR Arjun Pakrashi, Elham Abdullah Alghamdi, Brian Mac Namee, Derek Greene
2018	B	`conf`	ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data. MDM Shen Wang, Aditya Grover, Brian Mac Namee, Philip Plantholt, Javier Lopez-Leones, Pablo Sanchez-Escalonilla
2018	—	`conf`	Rank Scoring via Active Learning (RaScAL). HumL@ISWC Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
2018	B	`conf`	Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. VISSOFT Ivan Bacher, Brian Mac Namee, John D. Kelleher
2018	J	`jnl`	Stability of topic modeling via matrix factorization. Expert Syst. Appl. Mark Belford, Brian Mac Namee, Derek Greene
2018	B	`conf`	The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. VISSOFT Ivan Bacher, Brian Mac Namee, John D. Kelleher
2018	J	`jnl`	Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases. J. Artif. Soc. Soc. Simul. Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2017	J	`jnl`	A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology. J. Artif. Soc. Soc. Simul. Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2017	—	`conf`	Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text. AICS Brian Mac Namee, John D. Kelleher, Noel Fitzpatrick
2017	—	`conf`	Extending Jensen Shannon Divergence to Compare Multiple Corpora. AICS Jinghui Lu, Maeve Henchion, Brian Mac Namee
2017	—	`conf`	Rating by Ranking: An Improved Scale for Judgement-Based Labels. IntRS@RecSys Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
2017	J	`jnl`	Robot perception errors and human resolution strategies in situated human-robot dialogue. Adv. Robotics Niels Schütte, Brian Mac Namee, John D. Kelleher
2017	—	`conf`	Scoped: Visualising the Scope Chain Within Source Code. EuroVis (Short Papers) Ivan Bacher, Brian Mac Namee, John D. Kelleher
2017	J	`jnl`	Stability of Topic Modeling via Matrix Factorization. CoRR Mark Belford, Brian Mac Namee, Derek Greene
2017	—	`conf`	Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours. LIDTA@PKDD/ECML Arjun Pakrashi, Brian Mac Namee
2017	—	`conf`	Synthetic Dataset Generation for Online Topic Modeling. AICS Mark Belford, Brian Mac Namee, Derek Greene
2017	—	`conf`	The Code-Map Metaphor - A Review of Its Use Within Software Visualisations. VISIGRAPP (3: IVAPP) Ivan Bacher, Brian Mac Namee, John D. Kelleher
2016	J	`jnl`	Active learning for text classification with reusability. Expert Syst. Appl. Rong Hu, Brian Mac Namee, Sarah Jane Delany
2016	—	`conf`	Activist: A New Framework for Dataset Labelling. AICS Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
2016	—	`conf`	An Open Data Driven Epidemiological Agent-Based Model for Irish Towns. AICS Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2016	—	`conf`	Benchmarking Multi-label Classification Algorithms. AICS Arjun Pakrashi, Derek Greene, Brian Mac Namee
2016	—	`conf`	Ensemble Topic Modeling via Matrix Factorization. AICS Mark Belford, Brian Mac Namee, Derek Greene
2016	J	`jnl`	Graphical Perception of Value Distributions: An Evaluation of Non-Expert Viewers' Data Literacy. J. Community Informatics Arkaitz Zubiaga, Brian Mac Namee
2016	—	`conf`	Model-Free and Model-Based Active Learning for Regression. UKCI Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
2016	B	`conf`	On Using Tree Visualisation Techniques to Support Source Code Comprehension. VISSOFT Ivan Bacher, Brian Mac Namee, John D. Kelleher
2016	—	`ed.`	Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2016, Dublin, Ireland, September 20-21, 2016. AICS Derek Greene, Brian Mac Namee, Robert J. Ross
2016	—	`conf`	Using Icicle Trees to Encode the Hierarchical Structure of Source Code. EuroVis (Short Papers) Ivan Bacher, Brian Mac Namee, John D. Kelleher
2014	—	`conf`	Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues. MMRWHRI@ICMI Niels Schütte, John D. Kelleher, Brian Mac Namee
2014	J	`jnl`	Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work. Expert Syst. Appl. Alexey Tarasov, Sarah Jane Delany, Brian Mac Namee
2014	C	`conf`	NudgeAlong: A Case Based Approach to Changing User Behaviour. ICCBR Eoghan O'Shea, Sarah Jane Delany, Rob Lane, Brian Mac Namee
2014	—	`conf`	The Effect of Sensor Errors in Situated Human-Computer Dialogue. VL@COLING Niels Schütte, John D. Kelleher, Brian Mac Namee
2013	J	`jnl`	A window of opportunity: Assessing behavioural scoring. Expert Syst. Appl. Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany, M. O'Sullivan, N. Watson
2013	J	`jnl`	Drift detection using uncertainty distribution divergence. Evol. Syst. Patrick Lindstrom, Brian Mac Namee, Sarah Jane Delany
2013	—	`conf`	Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment. TAROS Yan Li, Brian Mac Namee, John D. Kelleher
2013	J	`jnl`	Using semi-supervised classifiers for credit scoring. J. Oper. Res. Soc. Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany
2012	—	`conf`	An Investigation Into Feature Selection for Oncological Survival Prediction. ITNG Dmitry Strunkin, Brian Mac Namee, John D. Kelleher
2012	—	`conf`	Dynamic Estimation of Rater Reliability in Subjective Tasks Using Multi-armed Bandits. SocialCom/PASSAT Alexey Tarasov, Sarah Jane Delany, Brian Mac Namee
2012	J	`jnl`	Profiling instances in noise reduction. Knowl. Based Syst. Sarah Jane Delany, Nicola Segata, Brian Mac Namee
2012	B	`conf`	The Turning, Stretching and Boxing Technique: A Step in the Right Direction. IVA Mark Dunne, Brian Mac Namee, John D. Kelleher
2011	J	`jnl`	Automatic Annotation of Referring Expressions in Situated Dialogues. Int. J. Comput. Linguistics Appl. Niels Schütte, John D. Kelleher, Brian Mac Namee
2011	—	`conf`	Drift Detection Using Uncertainty Distribution Divergence. ICDM Workshops Patrick Lindstrom, Brian Mac Namee, Sarah Jane Delany
2011	—	`conf`	Feasibility study of utility-directed behaviour for computer game agents. Advances in Computer Entertainment Technology Colm Sloan, John D. Kelleher, Brian Mac Namee
2011	C	`conf`	Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents. FDG Colm Sloan, John D. Kelleher, Brian Mac Namee
2011	J	`jnl`	The effect of occlusion on the semantics of projective spatial terms: a case study in grounding language in perception. Cogn. Process. John D. Kelleher, Robert J. Ross, Colm Sloan, Brian Mac Namee
2010	C	`conf`	CBTV: Visualising Case Bases for Similarity Measure Design and Selection. ICCBR Brian Mac Namee, Sarah Jane Delany
2010	C	`conf`	EGAL: Exploration Guided Active Learning for TCBR. ICCBR Rong Hu, Sarah Jane Delany, Brian Mac Namee
2010	Misc	`conf`	Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost. FLAIRS Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee
2010	B	`ed.`	INLG 2010 - Proceedings of the Sixth International Natural Language Generation Conference, July 7-9, 2010, Trim, Co. Meath, Ireland INLG John D. Kelleher, Brian Mac Namee, Ielka van der Sluis, Anja Belz, Albert Gatt, Alexander Koller
2010	J	`jnl`	Motion in Augmented Reality Games: An Engine for Creating Plausible Physical Interactions in Augmented Reality Games. Int. J. Comput. Games Technol. Brian Mac Namee, David Beaney, Qingqing Dong
2010	Misc	`conf`	Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning. FLAIRS Rong Hu, Brian Mac Namee, Sarah Jane Delany
2010	—	`conf`	Situating Spatial Templates for Human-Robot Interaction. AAAI Fall Symposium: Dialog with Robots John D. Kelleher, Robert J. Ross, Brian Mac Namee, Colm Sloan
2010	—	`conf`	Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation. AAAI Fall Symposium: Dialog with Robots Niels Schuette, John D. Kelleher, Brian Mac Namee
2009	—	`ch.`	Computer Graphics and Games, Agent Based Modeling in. Encyclopedia of Complexity and Systems Science Brian Mac Namee
2009	A*	`conf`	Forked! A demonstration of physics realism in augmented reality. ISMAR David Beaney, Brian Mac Namee
2009	—	`conf`	Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications. AICS Nicholas Hanlon, Brian Mac Namee, John D. Kelleher
2009	—	`conf`	Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem. AICS Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany
2009	B	`conf`	Widening the Evaluation Net. IVA Brian Mac Namee, Mark Dunne
2008	—	`conf`	Back to the Future: Knowledge Light Case Base Cookery. ECCBR Workshops Qian Zhang, Rong Hu, Brian Mac Namee, Sarah Jane Delany
2008	B	`conf`	Referring Expression Generation Challenge 2008 DIT System Descriptions (DIT-FBI, DIT-TVAS, DIT-CBSR, DIT-RBR, DIT-FBI-CBSR, DIT-TVAS-RBR). INLG John D. Kelleher, Brian Mac Namee