Brian Mac Namee
Orcid: 0000-0003-2518-0274
According to our database1,
Brian Mac Namee
authored at least 139 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition.
CoRR, 2024
2023
ML-KFHE: Multi-label Ensemble Classification Algorithm Exploiting Sensor Fusion Properties of the Kalman Filter.
SN Comput. Sci., November, 2023
Electron. Commer. Res., June, 2023
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.
Frontiers Artif. Intell., February, 2023
Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images.
CoRR, 2023
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
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
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
Proceedings of the Discovery Science - 26th International Conference, 2023
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023
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
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
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
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
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022
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
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022
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
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
IEEE Access, 2021
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
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
J. Artif. Soc. Soc. Simul., 2020
Investigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets.
CoRR, 2020
Appl. Netw. Sci., 2020
KalmanTune: A Kalman Filter Based Tuning Method to Make Boosted Ensembles Robust to Class-Label Noise.
IEEE Access, 2020
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
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
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
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
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019
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
Digit. Investig., 2018
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters.
CoRR, 2018
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
Proceedings of the Emerging Topics in Semantic Technologies, 2018
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
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018
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
J. Artif. Soc. Soc. Simul., 2017
Robot perception errors and human resolution strategies in situated human-robot dialogue.
Adv. Robotics, 2017
Proceedings of the 19th Eurographics Conference on Visualization, 2017
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
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
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
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017
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
Proceedings of the 18th Eurographics Conference on Visualization, 2016
Proceedings of the 2016 IEEE Working Conference on Software Visualization, 2016
Proceedings of the Advances in Computational Intelligence Systems, 2016
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016
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
Proceedings of the Case-Based Reasoning Research and Development, 2014
Proceedings of the Third Workshop on Vision and Language, 2014
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
Dynamic Estimation of Rater Reliability in Subjective Tasks Using Multi-armed Bandits.
Proceedings of the 2012 International Conference on Privacy, 2012
Proceedings of the Intelligent Virtual Agents - 12th International Conference, 2012
Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012
2011
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
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
Proceedings of the Case-Based Reasoning. Research and Development, 2010
Proceedings of the Case-Based Reasoning. Research and Development, 2010
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
Proceedings of the Dialog with Robots, 2010
2009
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
Proceedings of the 2009 Conference in Games and Virtual Worlds for Serious Applications, 2009
Proceedings of the Intelligent Virtual Agents, 9th International Conference, 2009
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
Int. J. Intell. Games Simul., 2003
Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003
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