John Brennan

According to our database, John Brennan authored at least 24 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

QXTools: A Julia framework for distributed quantum circuit simulation.

John Brennan, Lee J. O'Riordan, Kenneth Hanley, Myles Doyle, Momme Allalen, David Brayford, Luigi Iapichino, Niall Moran

J. Open Source Softw., 2022

On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement.

Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson

Proceedings of the International Joint Conference on Neural Networks, 2022

Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport.

Mike Simpson, Nik Khadijah Nik Aznan, John Brennan, Paul Watson, Philip James, Jennine Jonczyk

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Addressing scalability and performance for community detection and clustering in complex graphs

John Brennan

PhD thesis, 2021

Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems.

David Brayford, John Brennan, Momme Allalen, Kenneth Hanley, Luigi Iapichino, Lee J. O'Riordan, Niall Moran

CoRR, 2021

Deploying Containerized QuanEX Quantum Simulation Software on HPC Systems.

David Brayford, Momme Allalen, Luigi Iapichino, John Brennan, Niall Moran, Lee J. Q'Riordan, Kenneth Hanley

Proceedings of the 3rd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2021

2020

Gradient descent with momentum - to accelerate or to super-accelerate?

Goran Nakerst, John Brennan, Masudul Haque

CoRR, 2020

Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks.

John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study.

Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Data Sci. Eng., 2019

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions.

Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.

A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner

Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

Predicting the Computational Cost of Deep Learning Models.

Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning.

Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Evaluating the quality of graph embeddings via topological feature reconstruction.

Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

GFP-X: A parallel approach to massive graph comparison using spark.

Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Deep topology classification: A new approach for massive graph classification.

Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Ben-ware: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software.

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

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2015

Alpha testing of the rapid recovery Kayaking-based exergame.

Robert Shewaga, David Rojas, Bill Kapralos, John Brennan

Proceedings of the 2015 IEEE Games Entertainment Media Conference, 2015

Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware).

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

Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats, 2015

Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain.

Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

CDES: An Approach to HPC Workload Modelling.

John Brennan, Ibad Kureshi, Violeta Holmes

Proceedings of the 18th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2014

2013

Combining AiG Agents with Unicore Grid for Improvement of User Support.

Kamil Lysik, Katarzyna Wasielewska, Marcin Paprzycki, Maria Ganzha, John Brennan, Violeta Holmes, Ibad Kureshi

Proceedings of the First International Symposium on Computing and Networking, 2013

2006

Progressive grey matter atrophy over the first 2-3 years of illness in first-episode schizophrenia: A tensor-based morphometry study.

Thomas J. Whitford, Stuart M. Grieve, Tom F. D. Farrow, Lavier Gomes, John Brennan, Anthony W. F. Harris, Evian Gordon, Leanne M. Williams

NeuroImage, 2006

2003

A disturbance of nonlinear interdependence in scalp EEG of subjects with first episode schizophrenia.

Michael Breakspear, John R. Terry, Karl J. Friston, Anthony W. F. Harris, Leanne M. Williams, K. Brown, John Brennan, Evian Gordon

NeuroImage, 2003