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Browsing publications by Dr John Brennan.

Newcastle AuthorsTitleYearFull text
Dr John Brennan
Stephen Bonner
Dr Amir Atapour Abarghouei
Phillip Jackson
Professor Boguslaw Obara
et al.
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks2020
Stephen Bonner
Dr John Brennan
Dr Stephen McGough
Professor Boguslaw Obara
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study2019
Stephen Bonner
Dr Amir Atapour Abarghouei
Phillip Jackson
Dr John Brennan
Dr Stephen McGough
et al.
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions2019
Dr John Brennan
Dr Stephen McGough
Predicting the Computational Cost of Deep Learning Models2018
Dr John Brennan
Dr Stephen McGough
Professor Boguslaw Obara
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning2018
Dr Stephen McGough
Dr Matthew Forshaw
Dr John Brennan
Dr Noura Al Moubayed
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments2018
Dr John Brennan
Dr Stephen McGough
Professor Boguslaw Obara
Evaluating the quality of graph embeddings via topological feature reconstruction2017
Dr John Brennan
Exploring the Evolution of Big Data Technologies (Chapter 14)2017
Dr John Brennan
Dr Stephen McGough
Deep Topology Classification: A New Approach for Massive Graph Classification2016
Dr John Brennan
Dr Stephen McGough
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'2016
Dr John Brennan
Dr Stephen McGough
GFP-X: A Parallel Approach To Massive Graph Comparison Using Spark2016
Dr Stephen McGough
Dr John Brennan
Data quality assessment and anomaly detection via map/reduce and linked data: a case study in the medical domain2015
Dr Stephen McGough
Dr Budi Arief
Dr Carl Gamble
Dr John Brennan
Professor John Fitzgerald
et al.
Detecting insider threats using ben-ware: Beneficial intelligent software for identifying anomalous human behaviour2015
Dr Stephen McGough
Dr John Brennan
Dr Leonardus Arief
Dr Carl Gamble
Professor Aad van Moorsel
et al.
Insider Threats: Identifying Anomalous Human Behaviour in Hereogeneous Systems Using Beneficial Intelligent Software (Ben-ware)2015
Dr John Brennan
PBStoHTCondor system for campus grids2015
Dr John Brennan
CDES: An Approach to HPC Workload Modelling2014