John Brennan
John Brennan
Verified email at newcastle.ac.uk
Title
Cited by
Cited by
Year
Predicting the computational cost of deep learning models
D Justus, J Brennan, S Bonner, AS McGough
2018 IEEE International Conference on Big Data (Big Data), 3873-3882, 2018
392018
Exploring the semantic content of unsupervised graph embeddings: An empirical study
S Bonner, I Kureshi, J Brennan, G Theodoropoulos, AS McGough, ...
Data Science and Engineering 4 (3), 269-289, 2019
212019
Deep topology classification: A new approach for massive graph classification
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS McGough
2016 IEEE International Conference on Big Data (Big Data), 3290-3297, 2016
182016
Insider threats: Identifying anomalous human behaviour in heterogeneous systems using beneficial intelligent software (ben-ware)
AS McGough, D Wall, J Brennan, G Theodoropoulos, E Ruck-Keene, ...
Proceedings of the 7th ACM CCS International Workshop on Managing Insider …, 2015
182015
Using OpenStack to improve student experience in an HE environment
S Bonner, C Pulley, I Kureshi, V Holmes, J Brennan, Y James
2013 Science and Information Conference, 888-893, 2013
182013
Efficient comparison of massive graphs through the use of'graph fingerprints'.
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS McGough
Twelfth Workshop on Mining and Learning with Graphs (MLG) at KDD'16, 2016
162016
Advancing research infrastructure using openstack
I Kureshi, C Pulley, J Brennan, V Holmes, S Bonner, Y James
International Journal of Advanced Computer Science and Applications 3 (4), 64-70, 2013
142013
Data quality assessment and anomaly detection via map/reduce and linked data: a case study in the medical domain
S Bonner, AS McGough, I Kureshi, J Brennan, G Theodoropoulos, L Moss, ...
2015 IEEE International Conference on Big Data (Big Data), 737-746, 2015
122015
Temporal graph offset reconstruction: Towards temporally robust graph representation learning
S Bonner, J Brennan, I Kureshi, G Theodoropoulos, AS McGough, ...
2018 IEEE International Conference on Big Data (Big Data), 3737-3746, 2018
112018
Exploring the Evolution of Big Data Technologies
S Bonner, I Kureshi, J Brennan, G Theodoropoulos
Software Architecture for Big Data and the Cloud, 253-283, 2017
82017
GFP-X: A parallel approach to massive graph comparison using spark
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS McGough
2016 IEEE International Conference on Big Data (Big Data), 3298-3307, 2016
82016
Combining AiG Agents with Unicore grid for improvement of user support
K Lysik, K Wasielewska, M Paprzycki, M Ganzha, J Brennan, V Holmes, ...
2013 first international symposium on computing and networking, 66-74, 2013
62013
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions
S Bonner, A Atapour-Abarghouei, PT Jackson, J Brennan, I Kureshi, ...
2019 IEEE International Conference on Big Data (Big Data), 5336-5345, 2019
52019
Build an app and they will come? Lessons learnt from trialling the GetThereBus app in rural communities
D Corsar, C Cottrill, M Beecroft, JD Nelson, K Papangelis, P Edwards, ...
IET Intelligent Transport Systems (Nov. 2017). https://doi. org/10.1049/iet-its, 2016
52016
CDES: an approach to HPC workload modelling
J Brennan, I Kureshi, V Holmes
2014 IEEE/ACM 18th International Symposium on Distributed Simulation and …, 2014
52014
Evaluating the quality of graph embeddings via topological feature reconstruction
S Bonner, J Brennan, I Kureshi, G Theodoropoulos, AS McGough, ...
2017 IEEE International Conference on Big Data (Big Data), 2691-2700, 2017
42017
Detecting Insider Threats Using Ben-ware: Beneficial Intelligent Software for Identifying Anomalous Human Behaviour
AS McGough, B Arief, C Gamble, D Wall, J Brennan, J Fitzgerald, ...
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2015
42015
Scaling campus grids: Implementing a modified ontology based emi-wms on campus grids
J Brennan, M Paprzycki, V Holmes, M Ganzha, I Kureshi, M Drozdowicz, ...
The EGI Community Forum (EGICF), 27-27, 2013
22013
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
AS McGough, M Forshaw, J Brennan, N Al Moubayed, S Bonner
2018 Ninth International Green and Sustainable Computing Conference (IGSC), 1-8, 2018
12018
Developing a trusted computational grid
JD Brennan
University of Huddersfield, 2014
12014
The system can't perform the operation now. Try again later.
Articles 1–20