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Stephen Bonner
Stephen Bonner
Verified email at astrazeneca.com
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
2672018
Causal embeddings for recommendation
S Bonner, F Vasile
Proceedings of the 12th ACM conference on recommender systems, 104-112, 2018
2492018
Style augmentation: data augmentation via style randomization.
PTG Jackson, AA Abarghouei, S Bonner, TP Breckon, B Obara
CVPR workshops 6, 10-11, 2019
1772019
Recogym: A reinforcement learning environment for the problem of product recommendation in online advertising
D Rohde, S Bonner, T Dunlop, F Vasile, A Karatzoglou
RecSys Workshop on Offline Evaluation for Recommender Systems (REVEAL 2018), 2018
1562018
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
1062019
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
872018
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective
S Bonner, IP Barrett, C Ye, R Swiers, O Engkvist, A Bender, CT Hoyt, ...
Briefings in Bioinformatics 23 (6), bbac404, 2022
722022
Understanding the performance of knowledge graph embeddings in drug discovery
S Bonner, IP Barrett, C Ye, R Swiers, O Engkvist, CT Hoyt, WL Hamilton
Artificial Intelligence in the Life Sciences 2, 100036, 2022
462022
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
412019
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
332020
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
282016
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
252019
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
252016
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
222013
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
202017
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
202015
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
182013
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
152019
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
152018
Implications of topological imbalance for representation learning on biomedical knowledge graphs
S Bonner, U Kirik, O Engkvist, J Tang, IP Barrett
Briefings in Bioinformatics 23 (5), bbac279, 2022
122022
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Articles 1–20