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A. Stephen McGough
- > Home > Persons > A. Stephen McGough
Publications
- 2021
- [c63]Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. IEEE BigData 2021: 3950-3959 - 2020
- [c60]John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough:
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. IEEE BigData 2020: 2725-2734 - [i18]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. CoRR abs/2009.05160 (2020) - [i17]John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough:
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. CoRR abs/2010.12635 (2020) - 2019
- [j18]Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. Data Sci. Eng. 4(3): 269-289 (2019) - [c53]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. IEEE BigData 2019: 1601-1606 - [c52]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Volenti non fit injuria: Ransomware and its Victims. IEEE BigData 2019: 4701-4707 - [c51]Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. IEEE BigData 2019: 5336-5345 - [i12]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. CoRR abs/1908.06750 (2019) - [i11]Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. CoRR abs/1908.08402 (2019) - [i8]Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Volenti non fit injuria: Ransomware and its Victims. CoRR abs/1911.08364 (2019) - 2018
- [c45]Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. IEEE BigData 2018: 3737-3746 - [c44]Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough:
Predicting the Computational Cost of Deep Learning Models. IEEE BigData 2018: 3873-3882 - [c41]A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner:
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC 2018: 1-8 - [i7]Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. CoRR abs/1806.07464 (2018) - [i5]A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner:
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR abs/1810.08675 (2018) - [i3]Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. CoRR abs/1811.08366 (2018) - [i2]Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough:
Predicting the Computational Cost of Deep Learning Models. CoRR abs/1811.11880 (2018) - 2017
- [c35]Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara:
Evaluating the quality of graph embeddings via topological feature reconstruction. IEEE BigData 2017: 2691-2700 - 2016
- [c31]Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough:
Deep topology classification: A new approach for massive graph classification. IEEE BigData 2016: 3290-3297 - [c30]Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough:
GFP-X: A parallel approach to massive graph comparison using spark. IEEE BigData 2016: 3298-3307 - 2015
- [c28]Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou:
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData 2015: 737-746
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