John Brennan

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 22

Top Topics

Intelligent Software

Convolutional Neural Networks

Human Behaviour

Graph Representation

Top Venues

Publications

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) (2022)
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 (2022)
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)
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)
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)
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 (2021)
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)
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 (2020)
Goran Nakerst, John Brennan, Masudul Haque
Gradient descent with momentum - to accelerate or to super-accelerate? CoRR (2020)
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)
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) (2019)
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 (2019)
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 (2018)
Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
Predicting the Computational Cost of Deep Learning Models. IEEE BigData (2018)
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)
Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. CoRR (2018)
Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
Predicting the Computational Cost of Deep Learning Models. CoRR (2018)
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)
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 (2018)
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)
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)
Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
Deep topology classification: A new approach for massive graph classification. IEEE BigData (2016)
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)
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)
Robert Shewaga, David Rojas, Bill Kapralos, John Brennan
Alpha testing of the rapid recovery Kayaking-based exergame. GEM (2015)
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) (2015)
John Brennan, Ibad Kureshi, Violeta Holmes
CDES: An Approach to HPC Workload Modelling. DS-RT (2014)
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)
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) (2006)
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) (2003)