Brian Mac Namee

Orcid: 0000-0003-2518-0274

According to our database1, Brian Mac Namee authored at least 145 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition.
CoRR, 2024

The Effects of Media Bias on News Recommendations.
IEEE Access, 2024

Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting.
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Post Primary Teachers' Perspectives on Machine Learning and Artificial Intelligence in the Leaving Certificate Computer Science Curriculum.
Proceedings of the 24th Koli Calling International Conference on Computing Education Research, 2024

Guidelines for the Evolving Role of Generative AI in Introductory Programming Based on Emerging Practice.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Explainable Interactive Machine Learning Using Prototypical Part Networks for Medical Image Analysis.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

Deploying Machine Learning Anomaly Detection Models to Flight Ready AI Boards.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter.
SN Comput. Sci., November, 2023

Real-time bidding campaigns optimization using user profile settings.
Electron. Commer. Res., June, 2023

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.
Frontiers Artif. Intell., February, 2023

Explaining Knock-on Effects of Bias Mitigation.
CoRR, 2023

Learning from Exemplary Explanations.
CoRR, 2023

Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images.
CoRR, 2023

The Influence of Media Bias on News Recommender Systems.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

No More Pencils No More Books: Capabilities of Generative AI on Irish and UK Computer Science School Leaving Examinations.
Proceedings of the 2023 Conference on United Kingdom & Ireland Computing Education Research, 2023

Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence.
Proceedings of the Artificial Intelligence XL, 2023

Exploring Optimal Configurations in Active Learning for Medical Imaging.
Proceedings of the Artificial Intelligence XL, 2023

Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images.
Proceedings of the Artificial Intelligence XL, 2023

Distance-Aware eXplanation Based Learning.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Integrating Unsupervised Clustering and Label-Specific Oversampling to Tackle Imbalanced Multi-Label Data.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Investigating Temporal Features of Carotid Intima-Media Thickness from Ultrasound Imaging with Recurrent Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Unlearning Spurious Correlations in Chest X-Ray Classification.
Proceedings of the Discovery Science - 26th International Conference, 2023

Reducing Media Bias in News Headlines.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

What Makes Pre-trained Language Models Better Zero-shot Learners?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning.
CoRR, 2022

What Makes Pre-trained Language Models Better Zero/Few-shot Learners?
CoRR, 2022

Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation.
CoRR, 2022

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation.
CoRR, 2022

The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection.
IEEE Access, 2022

Random Walk-steered Majority Undersampling.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Novel Machine Learning and Artificial Intelligence Course for Secondary School Students.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Deep Contextual Novelty Detection with Context Prediction.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

Impact of Feedback Type on Explanatory Interactive Learning.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Interpretable Identification of Mild Cognitive Impairment Progression Using Stereotactic Surface Projections.
Proceedings of the PAIS 2022, 2022

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

AI and ML in School Level Computing Education: Who, What and Where?
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps.
J. Biomed. Informatics, 2021

A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture.
Expert Syst. J. Knowl. Eng., 2021

Pseudo-labelling Enhanced Media Bias Detection.
CoRR, 2021

On the Importance of Regularisation & Auxiliary Information in OOD Detection.
CoRR, 2021

Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset.
CoRR, 2021

Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows.
CoRR, 2021

Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data.
IEEE Access, 2021

ML-NCA: Multi-label Neighbourhood Component Analysis.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

An Orthogonal Classification Layer with Kasami Sequences for Discriminative Feature Learning in Neural Networks.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

On the Importance of Regularisation and Auxiliary Information in OOD Detection.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Semi-supervised dry herbage mass estimation using automatic data and synthetic images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data.
Proceedings of the Discovery Science - 24th International Conference, 2021

Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

Adaptation of Compositional Data Analysis in Deep Learning to Predict Pasture Biomass Proportions.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

Machine Learning in Space: A Review of Machine Learning Algorithms and Hardware for Space Applications.
Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

2020
A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases.
J. Artif. Soc. Soc. Simul., 2020

Can We Detect Mastitis earlier than Farmers?
CoRR, 2020

Deep Context-Aware Novelty Detection.
CoRR, 2020

Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets.
CoRR, 2020

Overlapping community finding with noisy pairwise constraints.
Appl. Netw. Sci., 2020

KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise.
IEEE Access, 2020

Valve Health Identification Using Sensors and Machine Learning Methods.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

ZeChipC: Time Series Interpolation Method Based on Lebesgue Sampling.
Proceedings of the Advances in Soft Computing, 2020

Diverging Divergences: Examining Variants of Jensen Shannon Divergence for Corpus Comparison Tasks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Enhance Categorisation Of Multilevel High-Sensitivity Cardiovascular Biomarkers From Lateral Flow Immunoassay Images Via Neural Networks And Dynamic Time Warping.
Proceedings of the IEEE International Conference on Image Processing, 2020

Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Detection and Categorisation of Multilevel High-sensitivity Cardiovascular Biomarkers from Lateral Flow Immunoassay Images via Recurrent Neural Networks.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters.
Inf. Sci., 2019

Real-time Bidding campaigns optimization using attribute selection.
CoRR, 2019

Investigating the Effectiveness of Representations Based on Word-Embeddings in Active Learning for Labelling Text Datasets.
CoRR, 2019

ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling.
CoRR, 2019

KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification.
CoRR, 2019

CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification.
CoRR, 2019

A Categorisation of Post-hoc Explanations for Predictive Models.
CoRR, 2019

Are You in Pain? Predicting Pain and Stiffness from Wearable Sensor Activity Data.
Proceedings of the Artificial Intelligence XXXVI, 2019

CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification (Best Technical Paper).
Proceedings of the Artificial Intelligence XXXVI, 2019

The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Anomaly Detection in Raw Audio Using Deep Autoregressive Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

On the Validity of Bayesian Neural Networks for Uncertainty Estimation.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

A Topic-Based Approach to Multiple Corpus Comparison.
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019

2018
Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases.
J. Artif. Soc. Soc. Simul., 2018

Stability of topic modeling via matrix factorization.
Expert Syst. Appl., 2018

Deep learning at the shallow end: Malware classification for non-domain experts.
Digit. Investig., 2018

Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters.
CoRR, 2018

The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code.
Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018

Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code.
Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018

From Rankings to Ratings: Rank Scoring via Active Learning.
Proceedings of the Emerging Topics in Semantic Technologies, 2018

Rank Scoring via Active Learning (RaScAL).
Proceedings of the 2nd International Workshop on Augmenting Intelligence with Humans­-in-­the-­Loop co-located with 17th International Semantic Web Conference (ISWC 2018), 2018

ROGER: An On-Line Flight Efficiency Monitoring System Using ADS-B Data.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

Identifying Urban Canopy Coverage from Satellite Imagery Using Convolutional Neural Networks.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017
A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology.
J. Artif. Soc. Soc. Simul., 2017

Robot perception errors and human resolution strategies in situated human-robot dialogue.
Adv. Robotics, 2017

Scoped: Visualising the Scope Chain Within Source Code.
Proceedings of the 19th Eurographics Conference on Visualization, 2017

Rating by Ranking: An Improved Scale for Judgement-Based Labels.
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

Stacked-MLkNN: A stacking based improvement to Multi-Label k-Nearest Neighbours.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

The Code-Map Metaphor - A Review of Its Use Within Software Visualisations.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017

Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

Extending Jensen Shannon Divergence to Compare Multiple Corpora.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

Synthetic Dataset Generation for Online Topic Modeling.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

2016
Graphical Perception of Value Distributions: An Evaluation of Non-Expert Viewers' Data Literacy.
J. Community Informatics, 2016

Active learning for text classification with reusability.
Expert Syst. Appl., 2016

Using Icicle Trees to Encode the Hierarchical Structure of Source Code.
Proceedings of the 18th Eurographics Conference on Visualization, 2016

On Using Tree Visualisation Techniques to Support Source Code Comprehension.
Proceedings of the 2016 IEEE Working Conference on Software Visualization, 2016

Model-Free and Model-Based Active Learning for Regression.
Proceedings of the Advances in Computational Intelligence Systems, 2016

Benchmarking Multi-label Classification Algorithms.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Activist: A New Framework for Dataset Labelling.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

An Open Data Driven Epidemiological Agent-Based Model for Irish Towns.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Ensemble Topic Modeling via Matrix Factorization.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

2014
Dynamic estimation of worker reliability in crowdsourcing for regression tasks: Making it work.
Expert Syst. Appl., 2014

Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues.
Proceedings of the 2014 Workshop on Multimodal, 2014

NudgeAlong: A Case Based Approach to Changing User Behaviour.
Proceedings of the Case-Based Reasoning Research and Development, 2014

The Effect of Sensor Errors in Situated Human-Computer Dialogue.
Proceedings of the Third Workshop on Vision and Language, 2014

2013
Using semi-supervised classifiers for credit scoring.
J. Oper. Res. Soc., 2013

Drift detection using uncertainty distribution divergence.
Evol. Syst., 2013

A window of opportunity: Assessing behavioural scoring.
Expert Syst. Appl., 2013

Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

2012
Profiling instances in noise reduction.
Knowl. Based Syst., 2012

Dynamic Estimation of Rater Reliability in Subjective Tasks Using Multi-armed Bandits.
Proceedings of the 2012 International Conference on Privacy, 2012

The Turning, Stretching and Boxing Technique: A Step in the Right Direction.
Proceedings of the Intelligent Virtual Agents - 12th International Conference, 2012

An Investigation Into Feature Selection for Oncological Survival Prediction.
Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012

2011
Automatic Annotation of Referring Expressions in Situated Dialogues.
Int. J. Comput. Linguistics Appl., 2011

The effect of occlusion on the semantics of projective spatial terms: a case study in grounding language in perception.
Cogn. Process., 2011

Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents.
Proceedings of the Foundations of Digital Games, 2011

Feasibility study of utility-directed behaviour for computer game agents.
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, 2011

2010
Motion in Augmented Reality Games: An Engine for Creating Plausible Physical Interactions in Augmented Reality Games.
Int. J. Comput. Games Technol., 2010

CBTV: Visualising Case Bases for Similarity Measure Design and Selection.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

EGAL: Exploration Guided Active Learning for TCBR.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Off to a Good Start: Using Clustering to Select the Initial Training Set in Active Learning.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation.
Proceedings of the Dialog with Robots, 2010

Situating Spatial Templates for Human-Robot Interaction.
Proceedings of the Dialog with Robots, 2010

2009
Computer Graphics and Games, Agent Based Modeling in.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Cross-Disciplinary Approaches for Developing Serious Games in Higher Education.
Proceedings of the 2009 Conference in Games and Virtual Worlds for Serious Applications, 2009

Widening the Evaluation Net.
Proceedings of the Intelligent Virtual Agents, 9th International Conference, 2009

Forked! A demonstration of physics realism in augmented reality.
Proceedings of the Science & Technology Proceedings, 2009

Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2008
Referring Expression Generation Challenge 2008 DIT System Descriptions (DIT-FBI, DIT-TVAS, DIT-CBSR, DIT-RBR, DIT-FBI-CBSR, DIT-TVAS-RBR).
Proceedings of the INLG 2008, 2008

Back to the Future: Knowledge Light Case Base Cookery.
Proceedings of the ECCBR 2008, 2008

2003
Creating socially interactive no-player characters: The µ-SIV system.
Int. J. Intell. Games Simul., 2003

Smart Objects for Attentive Agents.
Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003

Simulating Virtual Humans Across Diverse Situations.
Proceedings of the Intelligent Agents, 4th International Workshop, 2003

2002
The problem of bias in training data in regression problems in medical decision support.
Artif. Intell. Medicine, 2002

The u-SIG System; A Connectionist Driven Simulation of Socially Interactive Agents.
Proceedings of the 3rd International Conference on Intelligent Games and Simulation (GAME-ON 2002), 2002


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