Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. - Stephen Bonner; Andrew Stephen McGough; Ibad Kureshi; John Brennan; Georgios Theodoropoulos 001; Laura Moss; David Corsar; Grigoris Antoniou (IEEE BigData, 2015)

Deep topology classification: A new approach for massive graph classification. - Stephen Bonner; John Brennan; Georgios Theodoropoulos 001; Ibad Kureshi; Andrew Stephen McGough (IEEE BigData, 2016)

GFP-X: A parallel approach to massive graph comparison using spark. - Stephen Bonner; John Brennan; Georgios Theodoropoulos 001; Ibad Kureshi; Andrew Stephen McGough (IEEE BigData, 2016)

Evaluating the quality of graph embeddings via topological feature reconstruction. - Stephen Bonner; John Brennan; Ibad Kureshi; Georgios Theodoropoulos 001; Andrew Stephen McGough; Boguslaw Obara (IEEE BigData, 2017)

Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. - Stephen Bonner; John Brennan; Ibad Kureshi; Georgios Theodoropoulos 001; Andrew Stephen McGough; Boguslaw Obara (IEEE BigData, 2018)

Predicting the Computational Cost of Deep Learning Models. - Daniel Justus; John Brennan; Stephen Bonner; Andrew Stephen McGough (IEEE BigData, 2018)

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. - A. Stephen McGough; Matthew Forshaw; John Brennan; Noura Al Moubayed; Stephen Bonner (IGSC, 2018)

Causal embeddings for recommendation. - Stephen Bonner; Flavian Vasile (RecSys, 2018)

On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. - Nik Khadijah Nik Aznan; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (SMC, 2018)

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. - David Rohde; Stephen Bonner; Travis Dunlop; Flavian Vasile; Alexandros Karatzoglou (CoRR, 2018)

A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. - Amir Atapour Abarghouei; Stephen Bonner; Andrew Stephen McGough (IEEE BigData, 2019)

Volenti non fit injuria: Ransomware and its Victims. - Amir Atapour Abarghouei; Stephen Bonner; Andrew Stephen McGough (IEEE BigData, 2019)

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. - Stephen Bonner; Amir Atapour Abarghouei; Philip T. G. Jackson; John Brennan; Ibad Kureshi; Georgios Theodoropoulos 001; Andrew Stephen McGough; Boguslaw Obara (IEEE BigData, 2019)

Style Augmentation: Data Augmentation via Style Randomization. - Philip T. G. Jackson; Amir Atapour Abarghouei; Stephen Bonner; Toby P. Breckon; Boguslaw Obara (CVPR Workshops, 2019)

Coarse Annotation Refinement for Segmentation of Dot-Matrix Batchcodes. - Ning Jia; Christopher J. Holder; Stephen Bonner; Boguslaw Obara (ICMLA, 2019)

Causal Embeddings for Recommendation: An Extended Abstract. - Flavian Vasile; Stephen Bonner (IJCAI, 2019)

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (IJCNN, 2019)

Latent Variable Session-Based Recommendation. - David Rohde; Stephen Bonner (CoRR, 2019)

A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. - Amir Atapour Abarghouei; Stephen Bonner; Andrew Stephen McGough (CoRR, 2019)

Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks. - Otmane Sakhi; Stephen Bonner; David Rohde; Flavian Vasile (CoRR, 2019)

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. - Stephen Bonner; Ibad Kureshi; John Brennan; Georgios Theodoropoulos 001; Andrew Stephen McGough; Boguslaw Obara (Data Sci. Eng., 2019)

Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. - John Brennan; Stephen Bonner; Amir Atapour Abarghouei; Philip T. G. Jackson; Boguslaw Obara; Andrew Stephen McGough (IEEE BigData, 2020)

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Toby P. Breckon (ICPR, 2020)

BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. - Otmane Sakhi; Stephen Bonner; David Rohde; Flavian Vasile (KDD, 2020)

Advances in learning and understanding with graphs through machine learning. - Stephen Bonner (2020)

Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. - Amir Atapour-Abarghouei; Stephen Bonner; Andrew Stephen McGough (IEEE BigData, 2021)

Camera Bias in a Fine Grained Classification Task. - Philip T. G. Jackson; Stephen Bonner; Ning Jia; Christopher J. Holder; Jonathan Stonehouse; Boguslaw Obara (IJCNN, 2021)

A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective. - Stephen Bonner; Ian P. Barrett; Cheng Ye 002; Rowan Swiers; Ola Engkvist; Andreas Bender 002; William L. Hamilton (CoRR, 2021)

Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery. - Stephen Bonner; Ian P. Barrett; Cheng Ye 002; Rowan Swiers; Ola Engkvist; William L. Hamilton (CoRR, 2021)

Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings. - Cheng Ye 002; Rowan Swiers; Stephen Bonner; Ian P. Barrett (CoRR, 2021)

A Unified View of Relational Deep Learning for Drug Pair Scoring. - Benedek Rozemberczki; Stephen Bonner; Andriy Nikolov; Michaël Ughetto; Sebastian Nilsson; Eliseo Papa (IJCAI, 2022)

A review of biomedical datasets relating to drug discovery: a knowledge graph perspective. - Stephen Bonner; Ian P. Barrett; Cheng Ye 002; Rowan Swiers; Ola Engkvist; Andreas Bender 002; Charles Tapley Hoyt; William L. Hamilton (Briefings Bioinform., 2022)

Implications of topological imbalance for representation learning on biomedical knowledge graphs. - Stephen Bonner; Ufuk Kirik; Ola Engkvist; Jian Tang; Ian P. Barrett (Briefings Bioinform., 2022)

A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. - Cheng Ye 002; Rowan Swiers; Stephen Bonner; Ian P. Barrett (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models. - Alberto Cattaneo; Stephen Bonner; Thomas Martynec; Carlo Luschi; Ian P. Barrett; Daniel Justus (CoRR, 2024)