A. Stephen McGough

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 60

Top Topics

Bidding Strategies

Computing Systems

Energy Consumption

Top Venues

Publications

Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR (2024)
Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin
O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation. CoRR (2024)
Ayse Betul Cengiz, A. Stephen McGough
How much data do I need? A case study on medical data. CoRR (2023)
Ayse Betul Cengiz, A. Stephen McGough
How much data do I need? A case study on medical data. BigData (2023)
Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. BigData (2023)
Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR (2023)
Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
The Forecastability of Underlying Building Electricity Demand from Time Series Data. CoRR (2023)
Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin
Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies. WACV (Workshops) (2023)
Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR (2023)
Georgia Atkinson, Nick Wright, A. Stephen McGough, Per Berggren
The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data. CoRR (2023)
Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
The Forecastability of Underlying Building Electricity Demand from Time Series Data. BigData (2023)
Samuel Appleby, Kirsten Crane, Giacomo Bergami, A. Stephen McGough
SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2. CoG (2023)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. Big Data (2022)
Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. Big Data (2022)
Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. CoRR (2022)
Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin
Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies. CoRR (2022)
Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. Big Data (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
A systematic literature review on machine learning for electricity market agent-based models. Big Data (2022)
Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. CoRR (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Machine learning applications for electricity market agent-based models: A systematic literature review. CoRR (2022)
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, Mehdi Pazhoohesh, Sara Walker
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption - A systematic review. Eng. Appl. Artif. Intell. 115 (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. Sustain. Comput. Informatics Syst. 30 (2021)
Becky Allen, Marie Devlin, A. Stephen McGough
Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses. CEP (2021)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. CoRR (2021)
Ryan Curry, Cameron Trotter, A. Stephen McGough
Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild? IEEE BigData (2021)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. CoRR (2021)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization. CoRR (2020)
Mohammad Samawat Ullah, A. Stephen McGough
Distributed Disk Store. ICCA (2020)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model. e-Energy (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Exploring market power using deep reinforcement learning for intelligent bidding strategies. IEEE BigData (2020)
Amir Atapour Abarghouei, A. Stephen McGough, David S. Wall
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. IEEE BigData (2020)
Cameron Trotter, Georgia Atkinson, Matthew Sharpe, Kirsten Richardson, A. Stephen McGough, Nick Wright, Ben Burville, Per Berggren
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Exploring market power using deep reinforcement learning for intelligent bidding strategies. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization. e-Energy (2020)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model. e-Energy (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. e-Energy (2019)
Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A. Stephen McGough, Nick Wright, Per Berggren
The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Optimising energy and overhead for large parameter space simulations. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Optimising energy and overhead for large parameter space simulations. IGSC (2019)
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR (2018)
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC (2018)
A. Stephen McGough, Matthew Forshaw
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM). Sustain. Comput. Informatics Syst. 18 (2018)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting. e-Energy (2018)
Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. ICMLA (2018)
Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, Steven Bradley, A. Stephen McGough
CAM: A Combined Attention Model for Natural Language Inference. IEEE BigData (2018)
Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
An Exploration of Dropout with RNNs for Natural Language Inference. CoRR (2018)
Tom Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
Black-Box Autoregressive Density Estimation for State-Space Models. CoRR (2018)
A. Stephen McGough, Matthew Forshaw
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment. ICPE Companion (2018)
Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. ICANN (3) (2018)
Thomas Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
Black-Box Variational Inference for Stochastic Differential Equations. ICML (2018)
Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
An Exploration of Dropout with RNNs for Natural Language Inference. ICANN (3) (2018)
A. Stephen McGough, Noura Al Moubayed, Matthew Forshaw
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. ICPE Companion (2017)
Noura Al Moubayed, David Wall, A. Stephen McGough
Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine. HCI (22) (2017)
Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR (2016)
Matthew Forshaw, A. Stephen McGough, Nigel Thomas
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems. Concurr. Comput. Pract. Exp. 28 (12) (2016)
Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. ICANN (2) (2016)
Matthew Forshaw, A. Stephen McGough
Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster. SimuTools (2015)
A. Stephen McGough, Matthew Forshaw
Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems. DS-RT (2015)
Matthew Forshaw, Nigel Thomas, A. Stephen McGough
Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems. DS-RT (2014)
A. Stephen McGough, Matthew Forshaw
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning. Sustain. Comput. Informatics Syst. 4 (4) (2014)
A. Stephen McGough, S. Liang, M. Rapoportas, R. Grey, G. Kumar Vinod, D. Maddy, A. Trueman, John Wainwright
Massively parallel landscape-evolution modelling using general purpose graphical processing units. HiPC (2012)
Anthony Edward Mayer, A. Stephen McGough, Murtaza Gulamali, Laurie Robert Young, Jim Stanton, Steven Newhouse, John Darlington
Meaning and Behaviour in Grid Oriented Components. GRID (2002)
Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven Newhouse, Tony Field, John Darlington
ICENI: Optimisation of component applications within a Grid environment. Parallel Comput. 28 (12) (2002)
Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven Newhouse, Tony Field, John Darlington
An Integrated Grid Environment for Component Applications. GRID (2001)
Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven Newhouse, Tony Field, John Darlington
Optimisation of component-based applications within a grid environment. SC (2001)
Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven Newhouse, John Darlington
A Component Framework for HPC Applications. Euro-Par (2001)