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2020 – today
- 2022
[j5]John Brennan
, Lee J. O'Riordan, Kenneth Hanley, Myles Doyle, Momme Allalen, David Brayford, Luigi Iapichino, Niall Moran:
QXTools: A Julia framework for distributed quantum circuit simulation. J. Open Source Softw. 7(69): 3711 (2022)- [c16]Mike Simpson, Nik Khadijah Nik Aznan, John Brennan, Paul Watson, Philip James, Jennine Jonczyk:
Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport. e-Science 2022: 391-392 - [c15]Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. IJCNN 2022: 1-8 - [i9]Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. CoRR abs/2202.06639 (2022) - 2021
- [b1]John Brennan:
Addressing scalability and performance for community detection and clustering in complex graphs. Durham University, UK, 2021 - [c14]David Brayford, Momme Allalen, Luigi Iapichino, John Brennan, Niall Moran, Lee J. Q'Riordan, Kenneth Hanley:
Deploying Containerized QuanEX Quantum Simulation Software on HPC Systems. CANOPIE-HPC@SC 2021: 1-9 - [i8]David Brayford, John Brennan, Momme Allalen, Kenneth Hanley, Luigi Iapichino, Lee J. O'Riordan, Niall Moran:
Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems. CoRR abs/2110.05162 (2021) - 2020
- [c13]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 - [i7]Goran Nakerst, John Brennan, Masudul Haque:
Gradient descent with momentum - to accelerate or to super-accelerate? CoRR abs/2001.06472 (2020) - [i6]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)
2010 – 2019
- 2019
- [j4]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) - [c12]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 - [i5]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) - 2018
- [c11]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 - [c10]Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough:
Predicting the Computational Cost of Deep Learning Models. IEEE BigData 2018: 3873-3882 - [c9]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 - [i4]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) - [i3]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) - [i2]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) - [i1]Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough:
Predicting the Computational Cost of Deep Learning Models. CoRR abs/1811.11880 (2018) - 2017
- [c8]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
- [c7]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 - [c6]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
- [j3]Andrew Stephen McGough, Budi Arief, Carl Gamble, David Wall, John Brennan, John S. Fitzgerald, Aad P. A. van Moorsel, Sujeewa Alwis, Georgios Theodoropoulos, Ed Ruck-Keene:
Ben-ware: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 6(4): 3-46 (2015) - [c5]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 - [c4]Andrew Stephen McGough, David Wall, John Brennan, Georgios Theodoropoulos, Ed Ruck-Keene, Budi Arief, Carl Gamble, John S. Fitzgerald, Aad P. A. van Moorsel, Sujeewa Alwis:
Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware). MIST@CCS 2015: 1-12 - [c3]Robert Shewaga, David Rojas, Bill Kapralos, John Brennan:
Alpha testing of the rapid recovery Kayaking-based exergame. GEM 2015: 1-5 - 2014
- [c2]John Brennan, Ibad Kureshi, Violeta Holmes:
CDES: An Approach to HPC Workload Modelling. DS-RT 2014: 47-54 - 2013
- [c1]Kamil Lysik, Katarzyna Wasielewska, Marcin Paprzycki, Maria Ganzha, John Brennan, Violeta Holmes, Ibad Kureshi:
Combining AiG Agents with Unicore Grid for Improvement of User Support. CANDAR 2013: 66-74
2000 – 2009
- 2006
- [j2]Thomas J. Whitford, Stuart M. Grieve, Tom F. D. Farrow, Lavier Gomes, John Brennan, Anthony W. F. Harris, Evian Gordon, Leanne M. Williams:
Progressive grey matter atrophy over the first 2-3 years of illness in first-episode schizophrenia: A tensor-based morphometry study. NeuroImage 32(2): 511-519 (2006) - 2003
- [j1]Michael Breakspear, John R. Terry, Karl J. Friston, Anthony W. F. Harris, Leanne M. Williams, K. Brown, John Brennan, Evian Gordon:
A disturbance of nonlinear interdependence in scalp EEG of subjects with first episode schizophrenia. NeuroImage 20(1): 466-478 (2003)
Coauthor Index
aka: Andrew Stephen McGough
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