Andrew Stephen McGough

75 papers B 6C 5Misc 2Journal 35Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing. CoRR Jingrui He, Andrew Stephen McGough
2023	B	`conf`	FEGR: Feature Enhanced Graph Representation Method for Graph Classification. ASONAM Mohamad Elhadi Abushofa, Amir Atapour Abarghouei, Matthew Forshaw, Andrew Stephen McGough
2023	B	`conf`	Predicting the Performance of a Computing System with Deep Networks. ICPE Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2023	J	`jnl`	Predicting the Performance of a Computing System with Deep Networks. CoRR Mehmet Cengiz, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022	—	`conf`	Analysis of Reinforcement Learning for Determining Task Replication in Workflows. EPEW Andrew Stephen McGough, Matthew Forshaw
2022	J	`jnl`	Analysis of Reinforcement Learning for determining task replication in workflows. CoRR Andrew Stephen McGough, Matthew Forshaw
2022	J	`jnl`	Long-term Reproducibility for Neural Architecture Search. CoRR David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022	J	`jnl`	PeaGlyph: Glyph design for investigation of balanced data structures. Inf. Vis. Kenan Koc, Andrew Stephen McGough, Sara Johansson Fernstad
2022	B	`conf`	Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. IEEE Big Data Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022	J	`jnl`	Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. CoRR Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough
2022	—	`conf`	SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics. CVPR Workshops Rob Geada, Andrew Stephen McGough
2022	J	`jnl`	SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics. CoRR Rob Geada, Andrew Stephen McGough
2022	J	`jnl`	Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience. ACM Trans. Comput. Educ. Becky Allen, Andrew Stephen McGough, Marie Devlin
2021	J	`jnl`	Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild? CoRR Ryan Curry, Cameron Trotter, Andrew Stephen McGough
2021	—	`conf`	Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. IEEE BigData Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough
2020	J	`jnl`	Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling. PeerJ Comput. Sci. Noura Al Moubayed, Andrew Stephen McGough, Bashar Awwad Shiekh Hasan
2020	J	`jnl`	Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners. CoRR Rob Geada, Dennis Prangle, Andrew Stephen McGough
2020	—	`conf`	Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. IEEE BigData John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough
2020	J	`jnl`	Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks. CoRR John Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough
2020	J	`jnl`	Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. CoRR Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2020	J	`jnl`	Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. CoRR Amir Atapour Abarghouei, Andrew Stephen McGough, David Stanley Wall
2019	—	`conf`	A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. IEEE BigData Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	J	`jnl`	A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. CoRR Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	J	`jnl`	Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. Data Sci. Eng. Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	J	`jnl`	NUFEB: A massively parallel simulator for individual-based modelling of microbial communities. PLoS Comput. Biol. Bowen Li, Denis Taniguchi, Pahala Gedara Jayathilake, Valentina Gogulancea, Rebeca Gonzalez-Cabaleiro, Jinju Chen, Andrew Stephen McGough, Irina Dana Ofiteru, Thomas P. Curtis, Paolo Zuliani
2019	C	`conf`	On the Use of Neural Text Generation for the Task of Optical Character Recognition. AICCSA Mahnaz Mohammadi, Sardar F. Jaf, Andrew Stephen McGough, Toby P. Breckon, Peter Matthews, Georgios Theodoropoulos, Boguslaw Obara
2019	J	`jnl`	TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. CoRR Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara
2019	—	`conf`	Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. IEEE BigData Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	J	`jnl`	Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. CoRR Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2019	—	`conf`	Volenti non fit injuria: Ransomware and its Victims. IEEE BigData Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2019	J	`jnl`	Volenti non fit injuria: Ransomware and its Victims. CoRR Amir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough
2018	J	`jnl`	Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study. CoRR Stephen Bonner, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	—	`conf`	Predicting the Computational Cost of Deep Learning Models. IEEE BigData Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
2018	J	`jnl`	Predicting the Computational Cost of Deep Learning Models. CoRR Daniel Justus, John Brennan, Stephen Bonner, Andrew Stephen McGough
2018	C	`conf`	Simulation of Virtual Machine Live Migration in High Throughput Computing Environments. DS-RT Osama Nasser Alrajeh, Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
2018	—	`conf`	TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. IEEE BigData Fady Medhat, Mahnaz Mohammadi, Sardar F. Jaf, Chris G. Willcocks, Toby P. Breckon, Peter Matthews, Andrew Stephen McGough, Georgios Theodoropoulos, Boguslaw Obara
2018	—	`conf`	Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. IEEE BigData Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2018	J	`jnl`	Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning. CoRR Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2017	B	`conf`	Enhanced detection of movement onset in EEG through deep oversampling. IJCNN Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough
2017	—	`conf`	Evaluating the quality of graph embeddings via topological feature reconstruction. IEEE BigData Stephen Bonner, John Brennan, Ibad Kureshi, Georgios Theodoropoulos, Andrew Stephen McGough, Boguslaw Obara
2016	—	`conf`	Deep topology classification: A new approach for massive graph classification. IEEE BigData Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
2016	—	`conf`	GFP-X: A parallel approach to massive graph comparison using spark. IEEE BigData Stephen Bonner, John Brennan, Georgios Theodoropoulos, Ibad Kureshi, Andrew Stephen McGough
2015	J	`jnl`	Ben-ware: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. Andrew Stephen McGough, Budi Arief, Carl Gamble, David Wall, John Brennan, John S. Fitzgerald, Aad P. A. van Moorsel, Sujeewa Alwis, Georgios Theodoropoulos, Ed Ruck-Keene
2015	—	`conf`	Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. IEEE BigData Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi, John Brennan, Georgios Theodoropoulos, Laura Moss, David Corsar, Grigoris Antoniou
2015	—	`conf`	Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware). MIST@CCS Andrew Stephen McGough, David Wall, John Brennan, Georgios Theodoropoulos, Ed Ruck-Keene, Budi Arief, Carl Gamble, John S. Fitzgerald, Aad P. A. van Moorsel, Sujeewa Alwis
2014	J	`jnl`	Comparison of a cost-effective virtual cloud cluster with an existing campus cluster. Future Gener. Comput. Syst. Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater, Ben Allen, Paul Robinson
2014	—	`conf`	Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems. PASM Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
2014	—	`conf`	On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems. SMARTGREENS Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas
2014	—	`conf`	Optimal Hiring of Cloud Servers. EPEW Andrew Stephen McGough, Isi Mitrani
2013	J	`jnl`	Analysis of power-saving techniques over a large multi-use cluster with variable workload. Concurr. Comput. Pract. Exp. Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Paul Robinson, Stuart Wheater
2013	J	`jnl`	Flood modelling for cities using Cloud computing. J. Cloud Comput. Vassilis Glenis, Andrew Stephen McGough, Vedrana Kutija, Chris G. Kilsby, Simon Woodman
2012	—	`conf`	Reducing the Number of Miscreant Tasks Executions in a Multi-use Cluster. CGC Andrew Stephen McGough, Matthew Forshaw, Clive Gerrard, Stuart Wheater
2011	C	`conf`	Analysis of Power-Saving Techniques over a Large Multi-use Cluster. DASC Andrew Stephen McGough, Clive Gerrard, Jonathan Noble, Paul Robinson, Stuart Wheater
2011	—	`conf`	Developing a Cost-Effective Virtual Cluster on the Cloud. GECON Andrew Stephen McGough
2010	C	`conf`	Adding Standards Based Job Submission to a Commodity Grid Broker. CIT Dave Colling, Andrew Stephen McGough, Tiejun Ma, Vesso Novov, Jazz Mack Smith, David Wallom, Xin Xiong
2010	—	`conf`	Intelligent Power Management Over Large Clusters. GreenCom/CPSCom Andrew Stephen McGough, Clive Gerrard, Paul Haldane, Dave Sharples, Daniel Swan, Paul Robinson, Sindre Hamlander, Stuart Wheater
2008	J	`jnl`	A standards based approach to enabling legacy applications on the Grid. Future Gener. Comput. Syst. Andrew Stephen McGough, William Lee, Shikta Das
2008	—	`conf`	Adding Standards Based Job Submission to a Commodity Grid Broker. eScience Dave Colling, Andrew Stephen McGough, Jazz Mack Smith, Vesso Novov, Tiejun Ma, David Wallom, Xin Xiong
2008	J	`jnl`	Capacity planning and scheduling in Grid computing environments. Future Gener. Comput. Syst. Ali Afzal, Andrew Stephen McGough, John Darlington
2007	C	`conf`	Enabling QoS for Service-Oriented Workflow on GRID. CIT Li Guo, Andrew Stephen McGough, Asif Akram, Dave Colling, Janusz Martyniak, Marko Krznaric
2007	J	`jnl`	GRIDCC: A Real-time Grid workflow system with QoS. Sci. Program. Andrew Stephen McGough, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, Dave Colling, Janusz Martyniak, Roger S. Powell, Paul Kyberd, Chenxi Huang, Constantinos Kotsokalis, Panayotis Tsanakas
2007	—	`conf`	GRIDCC: real-time workflow system. WORKS@HPDC Andrew Stephen McGough, Asif Akram, Li Guo, Marko Krznaric, Luke Dickens, Dave Colling, Janusz Martyniak, Roger S. Powell, Paul Kyberd, Constantinos Kotsokalis
2006	J	`jnl`	A Profitable Broker in a Volatile Utility Grid. Int. Trans. Syst. Sci. Appl. Yash Patel, Andrew Stephen McGough, John Darlington
2006	Misc	`conf`	Adding Instruments and Workflow Support to Existing Grid Architectures. International Conference on Computational Science (3) Dave Colling, Luke William Dickens, Tiziana Ferrari, Y. Hassoun, Constantinos Kotsokalis, Marko Krznaric, Janusz Martyniak, Andrew Stephen McGough, Elisabetta Ronchieri
2006	B	`conf`	Capacity Planning and Stochastic Scheduling in Large-Scale Grids. e-Science Ali Afzal, John Darlington, Andrew Stephen McGough
2006	—	`conf`	QoS Support For Workflows In A Volatile Grid. GRID Yash Patel, Andrew Stephen McGough, John Darlington
2006	—	`conf`	QoS-Constrained Stochastic Workflow Scheduling in Enterprise and Scientific Grids. GRID Ali Afzal, John Darlington, Andrew Stephen McGough
2006	—	`conf`	Stochastic Workflow Scheduling with QoS Guarantees in Grid Computing Environments. GCC Ali Afzal, John Darlington, Andrew Stephen McGough
2006	Misc	`conf`	Workflow Deployment in ICENI II. International Conference on Computational Science (3) Andrew Stephen McGough, William Lee, John Darlington
2005	J	`jnl`	An End-to-end Workflow Pipeline for Large-scale Grid Computing. J. Grid Comput. Andrew Stephen McGough, Jeremy Cohen, John Darlington, Eleftheria Katsiri, William Lee, Sofia Panagiotidi, Yash Patel
2005	J	`jnl`	Making the Grid Predictable through Reservations and Performance Modelling. Comput. J. Andrew Stephen McGough, Ali Afzal, John Darlington, Nathalie Furmento, Anthony Edward Mayer, Laurie Robert Young
2002	J	`jnl`	Efficient parallel simulation of a sliding window protocol. Perform. Evaluation Andrew Stephen McGough, Isi Mitrani
2000	B	`conf`	Efficient distributed simulation of a communication switch with bursty sources and losses. PADS Andrew Stephen McGough, Isi Mitrani
2000	J	`jnl`	Parallel simulation of ATM switches using relaxation. Perform. Evaluation Andrew Stephen McGough, Isi Mitrani
2000	—	`—`	Parallel simulations using recurrence relations and relaxation. Andrew Stephen McGough