Outputs
Some recent publications
2021
Using AI to improve our Understanding of Waste-water processing
A.~Stephen McGough
Keynote at the European Network for Business And Industrial Statistics at their Spring Meeting, Online, May 2021
[Slides]
Going Beyond, Scaling and Tuning Microbial Simulations towards Real-world Systems
A.~Stephen McGough
Invited talk to workshop on Wastewater Zero for Urban Sustainability, Online, May 2021
[Slides]
An introduction to Generative Adversarial Networks and their uses
A.~Stephen McGough
Invited talk to industry (joint event between the Petrolium Exploration Society of Great Britan and the Royal Statistical Society), Online, Mar. 2021
[Slides]
Beating Cybercrime with Artificial Intelligence
A.~Stephen McGough
Invited Talk to industry (Cafe Scientifiqie), Online, Mar. 2021
[Slides]
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
Alexander~J.M. Kell, A.~Stephen McGough, and Matthew Forshaw
Sustainable Computing: Informatics and Systems, 30:100532, 2021
[Official Publication][Free Paper]
Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses
Becky Allen, Marie Devlin, and Andrew~Stephen McGough
p. 21--24 Computing Education Practice 2021, 2021
Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems
Osama Alrajeh, Matthew Forshaw, and Nigel Thomas
Sustainable Computing: Informatics and Systems, 29:100468, 2021
A.~Stephen McGough
Keynote at the European Network for Business And Industrial Statistics at their Spring Meeting, Online, May 2021
[Slides]
Going Beyond, Scaling and Tuning Microbial Simulations towards Real-world Systems
A.~Stephen McGough
Invited talk to workshop on Wastewater Zero for Urban Sustainability, Online, May 2021
[Slides]
An introduction to Generative Adversarial Networks and their uses
A.~Stephen McGough
Invited talk to industry (joint event between the Petrolium Exploration Society of Great Britan and the Royal Statistical Society), Online, Mar. 2021
[Slides]
Beating Cybercrime with Artificial Intelligence
A.~Stephen McGough
Invited Talk to industry (Cafe Scientifiqie), Online, Mar. 2021
[Slides]
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
Alexander~J.M. Kell, A.~Stephen McGough, and Matthew Forshaw
Sustainable Computing: Informatics and Systems, 30:100532, 2021
[Official Publication][Free Paper]
Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses
Becky Allen, Marie Devlin, and Andrew~Stephen McGough
p. 21--24 Computing Education Practice 2021, 2021
Using Virtual Machine live migration in trace-driven energy-aware simulation of high-throughput computing systems
Osama Alrajeh, Matthew Forshaw, and Nigel Thomas
Sustainable Computing: Informatics and Systems, 29:100468, 2021
2020
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
Amir Atapour-Abarghouei, Stephen Bonner, and Andrew~Stephen McGough
arXiv preprint arXiv:2009.05160, 2020
[Free Paper]
Domain Adaptation via Image Style Transfer
Amir Atapour-Abarghouei and Toby~P Breckon
In Domain Adaptation in Computer Vision with Deep Learning, p. 137--156 Springer, 2020
[Official Publication][Free Paper]
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
Nik Khadijah~Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason~D Connolly, and Toby~P Breckon
In Proc. Int. Conf. Pattern Recognition IEEE, 2020
[Official Publication][Free Paper]
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
M. Poyser, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. Int. Conf. Pattern Recognition IEEE, 2020
[Official Publication][Free Paper]
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
Cameron Trotter, Georgia Atkinson, Matt Sharpe, Kirsten Richardson, A.~Stephen McGough, Nick Wright, Ben Burville, and Per Berggren
FGIC6, CVPR 2020, 2020
[Free Paper]
Exploring market power using deep reinforcement learning for intelligent bidding strategies
Alexander~JM Kell, Matthew Forshaw, and A~Stephen McGough
The 4th IEEE International Workshop on Big Data for Financial News and Data at 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
[Free Paper]
Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs
Alexander~JM Kell, Pablo Salas, Mercure Jean-Francois, Forshaw Matthew, and McGough~Andrew Stephen
Virtual, Dec. 2020 Tackling Climate Change with ML (NeurIPS)
[Free Paper]
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
John Brennan, Stephen Bonner, Amir~Atapour Abarghouei, Philip T.~G. Jackson, Boguslaw Obara, and Andrew~Stephen McGough
volume abs/2010.12635 IEEE International Conference on Big Data, Dec 2020
[Free Paper]
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners
Rob Geada, Dennis Prangle, and Andrew~Stephen McGough
arXiv e-prints, CVPR workshop 2020, p. arXiv:2006.09264, June 2020
[Free Paper]
Optimizing Carbon Tax for Decentralized Electricity Markets Using an Agent-Based Model
Alexander J.~M. Kell, A.~Stephen McGough, and Matthew Forshaw
In Proceedings of the Eleventh ACM International Conference on Future Energy Systems, e-Energy '20, p. 454–460, New York, NY, USA, 2020 Association for Computing Machinery
[Free Paper]
The Northumberland Dolphin Dataset 2020
Cameron~Patrick Trotter, Kirsten Richardson, Georgia Atkinson, Matt Sharpe, Andrew McGough, Nicholas Wright, Per Berggren, and Ben Burville
May 2020
Long-Term Electricity Market Agent Based Model Validation Using Genetic Algorithm Based Optimization
Alexander J.~M. Kell, Matthew Forshaw, and A.~Stephen McGough
In Proceedings of the Eleventh ACM International Conference on Future Energy Systems, e-Energy '20, p. 1–13, New York, NY, USA, 2020 Association for Computing Machinery
[Free Paper]
Distributed Disk Store
M~S Ullah and Andrew~Stephen McGough
In International Conference on Computing Advancements, jan 2020
[Free Paper]
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
Amir Atapour-Abarghouei, Andrew~Stephen McGough, and David~Stanley Wall
In IEEE International Conference on Big Data, dec 2020
[Free Paper]
Deep Learning: State of the art Machine Learning
A.~Stephen McGough
Talk to industry, Online, Feb. 2020
How we can use Machine Learning to improve simulations
A.~Stephen McGough
Seminar, Rutherford Appleton Laboratory, Jan. 2020
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
Noura Al~Moubayed, Stephen McGough, and Bashar Awwad Shiekh~Hasan
PeerJ Computer Science, 6:e252, Jan. 2020
[Free Paper]
Virtual Machine Live Migration in Trace-driven Energy-Aware Simulation of High-Throughput Computing Systems
O Alrajeh, M Forshaw, and N Thomas
Sustainable Computing: Informatics and Systems, 2020
Amir Atapour-Abarghouei, Stephen Bonner, and Andrew~Stephen McGough
arXiv preprint arXiv:2009.05160, 2020
[Free Paper]
Domain Adaptation via Image Style Transfer
Amir Atapour-Abarghouei and Toby~P Breckon
In Domain Adaptation in Computer Vision with Deep Learning, p. 137--156 Springer, 2020
[Official Publication][Free Paper]
Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI
Nik Khadijah~Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason~D Connolly, and Toby~P Breckon
In Proc. Int. Conf. Pattern Recognition IEEE, 2020
[Official Publication][Free Paper]
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
M. Poyser, A. Atapour-Abarghouei, and T.P. Breckon
In Proc. Int. Conf. Pattern Recognition IEEE, 2020
[Official Publication][Free Paper]
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
Cameron Trotter, Georgia Atkinson, Matt Sharpe, Kirsten Richardson, A.~Stephen McGough, Nick Wright, Ben Burville, and Per Berggren
FGIC6, CVPR 2020, 2020
[Free Paper]
Exploring market power using deep reinforcement learning for intelligent bidding strategies
Alexander~JM Kell, Matthew Forshaw, and A~Stephen McGough
The 4th IEEE International Workshop on Big Data for Financial News and Data at 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
[Free Paper]
Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs
Alexander~JM Kell, Pablo Salas, Mercure Jean-Francois, Forshaw Matthew, and McGough~Andrew Stephen
Virtual, Dec. 2020 Tackling Climate Change with ML (NeurIPS)
[Free Paper]
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
John Brennan, Stephen Bonner, Amir~Atapour Abarghouei, Philip T.~G. Jackson, Boguslaw Obara, and Andrew~Stephen McGough
volume abs/2010.12635 IEEE International Conference on Big Data, Dec 2020
[Free Paper]
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners
Rob Geada, Dennis Prangle, and Andrew~Stephen McGough
arXiv e-prints, CVPR workshop 2020, p. arXiv:2006.09264, June 2020
[Free Paper]
Optimizing Carbon Tax for Decentralized Electricity Markets Using an Agent-Based Model
Alexander J.~M. Kell, A.~Stephen McGough, and Matthew Forshaw
In Proceedings of the Eleventh ACM International Conference on Future Energy Systems, e-Energy '20, p. 454–460, New York, NY, USA, 2020 Association for Computing Machinery
[Free Paper]
The Northumberland Dolphin Dataset 2020
Cameron~Patrick Trotter, Kirsten Richardson, Georgia Atkinson, Matt Sharpe, Andrew McGough, Nicholas Wright, Per Berggren, and Ben Burville
May 2020
Long-Term Electricity Market Agent Based Model Validation Using Genetic Algorithm Based Optimization
Alexander J.~M. Kell, Matthew Forshaw, and A.~Stephen McGough
In Proceedings of the Eleventh ACM International Conference on Future Energy Systems, e-Energy '20, p. 1–13, New York, NY, USA, 2020 Association for Computing Machinery
[Free Paper]
Distributed Disk Store
M~S Ullah and Andrew~Stephen McGough
In International Conference on Computing Advancements, jan 2020
[Free Paper]
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
Amir Atapour-Abarghouei, Andrew~Stephen McGough, and David~Stanley Wall
In IEEE International Conference on Big Data, dec 2020
[Free Paper]
Deep Learning: State of the art Machine Learning
A.~Stephen McGough
Talk to industry, Online, Feb. 2020
How we can use Machine Learning to improve simulations
A.~Stephen McGough
Seminar, Rutherford Appleton Laboratory, Jan. 2020
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
Noura Al~Moubayed, Stephen McGough, and Bashar Awwad Shiekh~Hasan
PeerJ Computer Science, 6:e252, Jan. 2020
[Free Paper]
Virtual Machine Live Migration in Trace-driven Energy-Aware Simulation of High-Throughput Computing Systems
O Alrajeh, M Forshaw, and N Thomas
Sustainable Computing: Informatics and Systems, 2020
Generated automatically on 2021-05-24 at 23:02