| 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 | 351 | 2018 |
| 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, 269-289, 2019 | 44 | 2019 |
| 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 | 32 | 2019 |
| 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 | 31 | 2016 |
| 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 | 25 | 2016 |
| 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 | 24 | 2017 |
| 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 | 24 | 2015 |
| 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 | 24 | 2013 |
| 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 | 20 | 2015 |
| 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 | 18 | 2013 |
| 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 | 16 | 2018 |
| 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 | 13 | 2017 |
| 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 | 12 | 2016 |
| 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 | 11 | 2018 |
| 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 | 10 | 2015 |
| 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 | 9 | 2013 |
| Cdes: an approach to hpc workload modelling J Brennan, I Kureshi, V Holmes 2014 IEEE/ACM 18th International Symposium on Distributed Simulation and …, 2014 | 7 | 2014 |
| Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks J Brennan, S Bonner, A Atapour-Abarghouei, PT Jackson, B Obara, ... 2020 IEEE International Conference on Big Data, 1-10, 2020 | 6 | 2020 |
| 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 | 4 | 2016 |
| Deploying containerized QuanEX quantum simulation software on HPC systems D Brayford, M Allalen, L Iapichino, J Brennan, N Moran, LJ Q'Riordan, ... 2021 3rd International Workshop on Containers and New Orchestration …, 2021 | 3 | 2021 |
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