John Brennan - RankMe

31 papers B 2C 1Journal 14Unranked 13

Year	Rank	Type	Title / Venue / Authors
2022	B	`conf`	Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport. e-Science Mike Simpson, Nik Khadijah Nik Aznan, John Brennan, Paul Watson, Philip James, Jennine Jonczyk
2022	B	`conf`	On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. IJCNN Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson
2022	J	`jnl`	On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. CoRR Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson
2022	J	`jnl`	QXTools: A Julia framework for distributed quantum circuit simulation. J. Open Source Softw. John Brennan, Lee J. O'Riordan, Kenneth Hanley, Myles Doyle, Momme Allalen, David Brayford, Luigi Iapichino, Niall Moran
2021	—	`—`	Addressing scalability and performance for community detection and clustering in complex graphs John Brennan
2021	—	`conf`	Deploying Containerized QuanEX Quantum Simulation Software on HPC Systems. CANOPIE-HPC@SC David Brayford, Momme Allalen, Luigi Iapichino, John Brennan, Niall Moran, Lee J. O'Riordan, Kenneth Hanley
2021	J	`jnl`	Deploying Containerized QuantEx Quantum Simulation Software on HPC Systems. CoRR David Brayford, John Brennan, Momme Allalen, Kenneth Hanley, Luigi Iapichino, Lee J. O'Riordan, Niall Moran
2020	J	`jnl`	Gradient descent with momentum - to accelerate or to super-accelerate? CoRR Goran Nakerst, John Brennan, Masudul Haque
2020	—	`conf`	Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. IEEE BigData John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough
2020	J	`jnl`	Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. CoRR John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough
2019	J	`jnl`	Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. Data Sci. Eng. Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	—	`conf`	Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. IEEE BigData Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	J	`jnl`	Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. CoRR Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	J	`jnl`	Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. CoRR Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	—	`conf`	Predicting the Computational Cost of Deep Learning Models. IEEE BigData Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
2018	J	`jnl`	Predicting the Computational Cost of Deep Learning Models. CoRR Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
2018	—	`conf`	Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. IEEE BigData Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	J	`jnl`	Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. CoRR Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	—	`conf`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2018	J	`jnl`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2017	—	`conf`	Evaluating the quality of graph embeddings via topological feature reconstruction. IEEE BigData Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2016	—	`conf`	Deep topology classification: A new approach for massive graph classification. IEEE BigData Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
2016	—	`conf`	GFP-X: A parallel approach to massive graph comparison using spark. IEEE BigData Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
2015	—	`conf`	Alpha testing of the rapid recovery Kayaking-based exergame. GEM Robert Shewaga, David Rojas, Bill Kapralos, John Brennan
2015	J	`jnl`	Ben-ware: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 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
2015	—	`conf`	Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou
2015	—	`conf`	Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware). MIST@CCS 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
2014	C	`conf`	CDES: An Approach to HPC Workload Modelling. DS-RT John Brennan, Ibad Kureshi, Violeta Holmes
2013	—	`conf`	Combining AiG Agents with Unicore Grid for Improvement of User Support. CANDAR Kamil Lysik, Katarzyna Wasielewska, Marcin Paprzycki, Maria Ganzha, John Brennan, Violeta Holmes, Ibad Kureshi
2006	J	`jnl`	Progressive grey matter atrophy over the first 2-3 years of illness in first-episode schizophrenia: A tensor-based morphometry study. NeuroImage Thomas J. Whitford, Stuart M. Grieve, Tom F. D. Farrow, Lavier Gomes, John Brennan, Anthony W. F. Harris, Evian Gordon, Leanne M. Williams
2003	J	`jnl`	A disturbance of nonlinear interdependence in scalp EEG of subjects with first episode schizophrenia. NeuroImage Michael Breakspear, John R. Terry, Karl J. Friston, Anthony W. F. Harris, Leanne M. Williams, K. Brown, John Brennan, Evian Gordon