Brian Mac Namee

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 117

Top Venues

Publications

Brian Mac Namee
Explainable Interactive Machine Learning Using Prototypical Part Networks for Medical Image Analysis. HHAI (2024)
Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong
Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP (2024)
Qin Ruan, Brian Mac Namee, Ruihai Dong
The Effects of Media Bias on News Recommendations. IEEE Access 12 (2024)
Joyce Mahon, Brian Mac Namee, Brett A. Becker
Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice. ITiCSE (1) (2024)
Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan
What Makes Pre-trained Language Models Better Zero-shot Learners? ACL (1) (2023)
Joyce Mahon, Brian Mac Namee, Brett A. Becker
No More Pencils No More Books: Capabilities of Generative AI on Irish and UK Computer Science School Leaving Examinations. UKICER (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Unlearning Spurious Correlations in Chest X-ray Classification. CoRR (2023)
Alec Parise, Brian Mac Namee
Exploring Optimal Configurations in Active Learning for Medical Imaging. SGAI Conf. (2023)
Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
Distance-Aware eXplanation Based Learning. CoRR (2023)
Min Jing, Kathryn Owen, Brian Mac Namee, Iab B. A. Menown, James McLaughlin
Investigating Temporal Features of Carotid Intima-Media Thickness from Ultrasound Imaging with Recurrent Neural Networks. EMBC (2023)
Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. AAAI (2023)
Misgina Tsighe Hagos, Niamh Belton, Kathleen M. Curran, Brian Mac Namee
Distance-Aware eXplanation Based Learning. ICTAI (2023)
Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee
Explaining Knock-on Effects of Bias Mitigation. CoRR (2023)
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data. ICAART (2) (2023)
Arjun Pakrashi, Brian Mac Namee
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter. SN Comput. Sci. 4 (6) (2023)
Arjun Pakrashi, Duncan Wallace, Brian Mac Namee, Derek Greene, Christophe Guéret
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring. Frontiers Artif. Intell. 6 (2023)
Changhong Jin, John Upton, Brian Mac Namee
Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues. AALTD@ECML/PKDD (2023)
Luis Miralles-Pechuán, Muhammad Atif Qureshi, Brian Mac Namee
Real-time bidding campaigns optimization using user profile settings. Electron. Commer. Res. 23 (2) (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Unlearning Spurious Correlations in Chest X-Ray Classification. DS (2023)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence. SGAI Conf. (2023)
Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. CoRR (2023)
Misgina Tsighe Hagos, Niamh Belton, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images. SGAI Conf. (2023)
Qin Ruan, Brian Mac Namee, Ruihai Dong
The Influence of Media Bias on News Recommender Systems. UMAP (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Learning from Exemplary Explanations. CoRR (2023)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Reducing Media Bias in News Headlines. AICS (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning. CoRR (2022)
Joyce Mahon, Keith Quille, Brian Mac Namee, Brett A. Becker
A Novel Machine Learning and Artificial Intelligence Course for Secondary School Students. SIGCSE (2) (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. CoRR (2022)
Ellen Rushe, Brian Mac Namee
Deep Contextual Novelty Detection with Context Prediction. LIDTA (2022)
Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan
PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CVPR Workshops (2022)
Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR (2022)
Joyce Mahon, Brett A. Becker, Brian Mac Namee
AI and ML in School Level Computing Education: Who, What and Where? AICS (2022)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Impact of Feedback Type on Explanatory Interactive Learning. CoRR (2022)
Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan
What Makes Pre-trained Language Models Better Zero/Few-shot Learners? CoRR (2022)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Impact of Feedback Type on Explanatory Interactive Learning. ISMIS (2022)
Misgina Tsighe Hagos, Ronan P. Killeen, Kathleen M. Curran, Brian Mac Namee
Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections. PAIS@ECAI (2022)
Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. IEEE Access 10 (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CoRR (2022)
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
Random Walk-steered Majority Undersampling. SMC (2022)
James Murphy, John E. Ward, Brian Mac Namee
Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications. AICS (2021)
Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee
A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. DS (2021)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. CoRR (2021)
Min Jing, Kok Yew Ng, Brian Mac Namee, Pardis Biglarbeigi, Rob Brisk, Raymond R. Bond, Dewar D. Finlay, James McLaughlin
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps. J. Biomed. Informatics 122 (2021)
John Mitros, Brian Mac Namee
On the Importance of Regularisation & Auxiliary Information in OOD Detection. CoRR (2021)
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset. CoRR (2021)
Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows. CoRR (2021)
Liang Zhao, Kun Chen, Jie Song, Xiaoliang Zhu, Jianwen Sun, Brian Caulfield, Brian Mac Namee
Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data. IEEE Access 9 (2021)
Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee
A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data. CoRR (2021)
Arjun Pakrashi, Payel Sadhukhan, Brian Mac Namee
ML-NCA: Multi-label Neighbourhood Component Analysis. LIDTA@ECML/PKDD (2021)
Arjun Pakrashi, Brian Mac Namee
A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture. Expert Syst. J. Knowl. Eng. 38 (7) (2021)
John Mitros, Brian Mac Namee
On the Importance of Regularisation and Auxiliary Information in OOD Detection. ICONIP (6) (2021)
Mehran Hossein Zadeh Bazargani, Arjun Pakrashi, Brian Mac Namee
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection. CoRR (2021)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Pseudo-labelling Enhanced Media Bias Detection. CoRR (2021)
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Noel E. O'Connor, Brian Mac Namee
Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions. AICS (2021)
Payel Sadhukhan, Arjun Pakrashi, Brian Mac Namee
Random Walk-steered Majority Undersampling. CoRR (2021)
Qin Ruan, Brian Mac Namee, Ruihai Dong
Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us. AICS (2021)
Payel Sadhukhan, Arjun Pakrashi, Sarbani Palit, Brian Mac Namee
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data. CoRR (2021)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. ICCVW (2021)
Arjun Pakrashi, Brian Mac Namee
KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise. IEEE Access 8 (2020)
Cathal Ryan, Christophe Guéret, Donagh Berry, Brian Mac Namee
Can We Detect Mastitis earlier than Farmers? CoRR (2020)
John Mitros, Arjun Pakrashi, Brian Mac Namee
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. ECCV Workshops (1) (2020)
Luis Miralles-Pechuán, Matthieu Bellucci, Muhammad Atif Qureshi, Brian Mac Namee
ZeChipC: Time Series Interpolation Method Based on Lebesgue Sampling. MICAI (1) (2020)
Muhammad Atif Qureshi, Luis Miralles-Pechuán, Jason Payne, Ronan O'Malley, Brian Mac Namee
Valve Health Identification Using Sensors and Machine Learning Methods. IoT Streams/ITEM@PKDD/ECML (2020)
Jinghui Lu, Maeve Henchion, Brian Mac Namee
Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks. LREC (2020)
Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases. J. Artif. Soc. Soc. Simul. 23 (4) (2020)
John Mitros, Arjun Pakrashi, Brian Mac Namee
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. CoRR (2020)
Min Jing, Brian Mac Namee, Donal McLaughlin, David Steele, Sara McNamee, Patrick Cullen, Dewar D. Finlay, James McLaughlin
Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping. ICIP (2020)
Elham Alghamdi, Ellen Rushe, Brian Mac Namee, Derek Greene
Overlapping community finding with noisy pairwise constraints. Appl. Netw. Sci. 5 (1) (2020)
Ellen Rushe, Brian Mac Namee
Deep Context-Aware Novelty Detection. CoRR (2020)
John Mitros, Brian Mac Namee
A Categorisation of Post-hoc Explanations for Predictive Models. CoRR (2019)
Jinghui Lu, Maeve Henchion, Brian Mac Namee
A Topic-Based Approach to Multiple Corpus Comparison. AICS (2019)
Arjun Pakrashi, Brian Mac Namee
KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification. CoRR (2019)
Arjun Pakrashi, Brian Mac Namee
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper). SGAI Conf. (2019)
Luis Miralles, Muhammad Atif Qureshi, Brian Mac Namee
Real-time Bidding campaigns optimization using attribute selection. CoRR (2019)
Jinghui Lu, Maeve Henchion, Brian Mac Namee
Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets. CoRR (2019)
Mehran Hossein Zadeh Bazargani, Brian Mac Namee
The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection. ECML/PKDD (1) (2019)
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
Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data. SGAI Conf. (2019)
Arjun Pakrashi, Brian Mac Namee
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification. CoRR (2019)
John Mitros, Brian Mac Namee
On the Validity of Bayesian Neural Networks for Uncertainty Estimation. CoRR (2019)
Matthieu Bellucci, Luis Miralles, Muhammad Atif Qureshi, Brian Mac Namee
ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling. CoRR (2019)
Arjun Pakrashi, Brian Mac Namee
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters. Inf. Sci. 485 (2019)
Ellen Rushe, Brian Mac Namee
Anomaly Detection in Raw Audio Using Deep Autoregressive Networks. ICASSP (2019)
John Mitros, Brian Mac Namee
On the Validity of Bayesian Neural Networks for Uncertainty Estimation. AICS (2019)
Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
From Rankings to Ratings: Rank Scoring via Active Learning. ISWC (Best Workshop Papers) (2018)
Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases. J. Artif. Soc. Soc. Simul. 21 (4) (2018)
Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
Deep learning at the shallow end: Malware classification for non-domain experts. CoRR (2018)
Niamh Donnelly, Conor Nugent, Brian Mac Namee
Identifying Urban Canopy Coverage from Satellite Imagery Using Convolutional Neural Networks. AICS (2018)
Shen Wang, Aditya Grover, Brian Mac Namee, Philip Plantholt, Javier Lopez-Leones, Pablo Sanchez-Escalonilla
ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data. MDM (2018)
Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. AICS (2018)
Arjun Pakrashi, Brian Mac Namee
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters. CoRR (2018)
Ivan Bacher, Brian Mac Namee, John D. Kelleher
The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. VISSOFT (2018)
Ivan Bacher, Brian Mac Namee, John D. Kelleher
Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. VISSOFT (2018)
Arjun Pakrashi, Elham Alghamdi, Brian Mac Namee, Derek Greene
MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network. CoRR (2018)
Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology. AICS (2018)
Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon
Deep learning at the shallow end: Malware classification for non-domain experts. Digit. Investig. (2018)
Mark Belford, Brian Mac Namee, Derek Greene
Stability of topic modeling via matrix factorization. Expert Syst. Appl. 91 (2018)
Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
Rank Scoring via Active Learning (RaScAL). HumL@ISWC (2018)
Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
Rating by Ranking: An Improved Scale for Judgement-Based Labels. IntRS@RecSys (2017)
Niels Schütte, Brian Mac Namee, John D. Kelleher
Robot perception errors and human resolution strategies in situated human-robot dialogue. Adv. Robotics 31 (5) (2017)

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Publication Activity (10 Years)

Top Topics

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Brian Mac Namee