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Pseudo-labelling Enhanced Media Bias Detection


Jul 16, 2021
Qin Ruan, Brian Mac Namee, Ruihai Dong


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On the Importance of Regularisation & Auxiliary Information in OOD Detection


Jul 15, 2021
John Mitros, Brian Mac Namee


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A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data


Jun 12, 2021
Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee


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


Jan 29, 2021
Mehran H. Z. Bazargani, Arjun Pakrashi, Brian Mac Namee


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


Jan 08, 2021
Badri Narayanan, Mohamed Saadeldin, Paul Albert, Kevin McGuinness, Brian Mac Namee

* Irish Machine Vision and Image Processing Conference (2020) 21-28 

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


Jan 07, 2021
Cathal Ryan, Christophe Guéret, Donagh Berry, Medb Corcoran, Mark T. Keane, Brian Mac Namee


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Can We Detect Mastitis earlier than Farmers?


Nov 05, 2020
Cathal Ryan, Christophe Guéret, Donagh Berry, Brian Mac Namee


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Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings


Oct 03, 2020
John Mitros, Arjun Pakrashi, Brian Mac Namee

* [email protected] 

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Deep Context-Aware Novelty Detection


Jun 01, 2020
Ellen Rushe, Brian Mac Namee


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On the Validity of Bayesian Neural Networks for Uncertainty Estimation


Dec 29, 2019
John Mitros, Brian Mac Namee

* AICS2019, fixed typos, figures, tables 

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Real-time Bidding campaigns optimization using attribute selection


Oct 29, 2019
Luis Miralles, M. Atif Qureshi, Brian Mac Namee


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


Oct 10, 2019
Jinghui Lu, Maeve Henchion, Brian Mac Namee


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ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling


Jun 06, 2019
Matthieu Bellucci, Luis Miralles, M. Atif Qureshi, Brian Mac Namee


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KFHE-HOMER: Kalman Filter-based Heuristic Ensemble of HOMER for Multi-Label Classification


Apr 23, 2019
Arjun Pakrashi, Brian Mac Namee


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


Apr 23, 2019
Arjun Pakrashi, Brian Mac Namee


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A Categorisation of Post-hoc Explanations for Predictive Models


Apr 04, 2019
John Mitros, Brian Mac Namee

* 5 pages, 3 figures, AAAI 2019 Spring Symposia (#SSS19) 

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Kalman Filter-based Heuristic Ensemble (KFHE): A New Perspective on Multi-class Ensemble Classification Using Kalman Filters


Sep 29, 2018
Arjun Pakrashi, Brian Mac Namee


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Deep learning at the shallow end: Malware classification for non-domain experts


Jul 22, 2018
Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon

* Digital Investigation, Volume 26, Supplement, 2018, Pages S118-S126, ISSN 1742-2876 

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Stability of Topic Modeling via Matrix Factorization


Sep 09, 2017
Mark Belford, Brian Mac Namee, Derek Greene


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