Stephen Bonner
Stephen Bonner
Verified email at astrazeneca.com
Title
Cited by
Cited by
Year
Causal embeddings for recommendation
S Bonner, F Vasile
Proceedings of the 12th ACM Conference on Recommender Systems, 104-112, 2018
422018
Recogym: A reinforcement learning environment for the problem of product recommendation in online advertising
D Rohde, S Bonner, T Dunlop, F Vasile, A Karatzoglou
arXiv preprint arXiv:1808.00720, 2018
36*2018
Style augmentation: data augmentation via style randomization.
PTG Jackson, AA Abarghouei, S Bonner, TP Breckon, B Obara
CVPR Workshops, 83-92, 2019
312019
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
292018
On the classification of SSVEP-based dry-EEG signals via convolutional neural networks
NKN Aznan, S Bonner, J Connolly, N Al Moubayed, T Breckon
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018
292018
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
202019
Deep topology classification: a new approach for massive graph classification.
S Bonner, J Brennan, G Theodoropoulos, I Kureshi, AS Mcgough
IEEE International Conference on Big Data (BigData'16), 3290-3297, 2016
182016
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
Simulating brain signals: Creating synthetic eeg data via neural-based generative models for improved ssvep classification
NKN Aznan, A Atapour-Abarghouei, S Bonner, JD Connolly, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
172019
Efficient Comparison of Massive Graphs Through The Use Of ‘Graph Fingerprints’
S Bonner, J Brennan, I Kureshi, MG Stephen, G Theodoropoulos
SIGKKD 12th International Workshop on Mining and Learning with Graphs (MLG), 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
102018
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
72017
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
72016
A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
A Atapour-Abarghouei, S Bonner, AS McGough
2019 IEEE International Conference on Big Data (Big Data), 1601-1606, 2019
52019
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
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals
O Sakhi, S Bonner, D Rohde, F Vasile
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
32020
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
32019
Using hadoop to implement a semantic method of assessing the quality of research medical datasets
S Bonner, G Antoniou, L Moss, I Kureshi, D Corsair, I Tachmazidis
Proceedings of the 2014 International Conference on Big Data Science and …, 2014
32014
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Articles 1–20