Articles with public access mandates - John BrennanLearn more
Not available anywhere: 1
Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport
M Simpson, NKN Aznan, J Brennan, P Watson, P James, J Jonczyk
2022 IEEE 18th International Conference on e-Science (e-Science), 391-392, 2022
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Available somewhere: 12
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
Mandates: UK Research & Innovation
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: UK Engineering and Physical Sciences Research Council
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement
N Khadijah Nik Aznan, J Brennan, D Bell, J Jonczyk, P Watson
arXiv e-prints, arXiv: 2202.06639, 2022
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
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
Mandates: European Commission, Federal Ministry of Education and Research, Germany
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