A. Stephen McGough

72 papers A* 2A 1B 8C 4Misc 1Journal 30Unranked 25

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing. FG Jingrui He, A. Stephen McGough
2024	—	`conf`	Evaluating Deep Graph Network Performance by Augmenting Node Features with Structural Features. ASONAM (3) Mohamad Elhadi Abushofa, Amir Atapour-Abarghouei, Matthew Forshaw, A. Stephen McGough
2024	A*	`conf`	Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CVPR Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
2024	J	`jnl`	Insights from the Use of Previously Unseen Neural Architecture Search Datasets. CoRR Rob Geada, David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, A. Stephen McGough
2024	J	`jnl`	O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation. CoRR Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin
2023	—	`conf`	Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies. WACV (Workshops) Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin
2023	B	`conf`	How much data do I need? A case study on medical data. IEEE Big Data Ayse Betul Cengiz, A. Stephen McGough
2023	J	`jnl`	How much data do I need? A case study on medical data. CoRR Ayse Betul Cengiz, A. Stephen McGough
2023	J	`jnl`	Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
2023	B	`conf`	NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. IEEE Big Data Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
2023	J	`jnl`	NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. CoRR Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough
2023	C	`conf`	SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2. CoG Samuel Appleby, Kirsten Crane, Giacomo Bergami, A. Stephen McGough
2023	J	`jnl`	The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data. CoRR Georgia Atkinson, Nick Wright, A. Stephen McGough, Per Berggren
2023	B	`conf`	The Forecastability of Underlying Building Electricity Demand from Time Series Data. IEEE Big Data Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
2023	J	`jnl`	The Forecastability of Underlying Building Electricity Demand from Time Series Data. CoRR Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
2022	B	`conf`	A systematic literature review on machine learning for electricity market agent-based models. IEEE Big Data Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2022	B	`conf`	Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. IEEE Big Data Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough
2022	J	`jnl`	Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. CoRR Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough
2022	J	`jnl`	Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies. CoRR Matthew Kent Myers, Nick Wright, A. Stephen McGough, Nicholas G. Martin
2022	J	`jnl`	Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption - A systematic review. Eng. Appl. Artif. Intell. Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, Mehdi Pazhoohesh, Sara Walker
2022	J	`jnl`	Machine learning applications for electricity market agent-based models: A systematic literature review. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2022	B	`conf`	Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. IEEE Big Data Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2022	B	`conf`	Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. IEEE Big Data Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren
2022	J	`jnl`	Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. CoRR Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren
2021	—	`conf`	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 Ryan Curry, Cameron Trotter, A. Stephen McGough
2021	J	`jnl`	Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2021	J	`jnl`	The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2021	J	`jnl`	The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. Sustain. Comput. Informatics Syst. Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2021	—	`conf`	Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses. CEP Becky Allen, Marie Devlin, A. Stephen McGough
2020	—	`conf`	Distributed Disk Store. ICCA Mohammad Samawat Ullah, A. Stephen McGough
2020	—	`conf`	Exploring market power using deep reinforcement learning for intelligent bidding strategies. IEEE BigData Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	J	`jnl`	Exploring market power using deep reinforcement learning for intelligent bidding strategies. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	—	`conf`	Long-term electricity market agent based model validation using genetic algorithm based optimization. e-Energy Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	J	`jnl`	Long-term electricity market agent based model validation using genetic algorithm based optimization. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2020	J	`jnl`	NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation. CoRR Cameron Trotter, Georgia Atkinson, Matthew Sharpe, Kirsten Richardson, A. Stephen McGough, Nick Wright, Ben Burville, Per Berggren
2020	—	`conf`	Optimizing carbon tax for decentralized electricity markets using an agent-based model. e-Energy Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2020	J	`jnl`	Optimizing carbon tax for decentralized electricity markets using an agent-based model. CoRR Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2020	—	`conf`	Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing. IEEE BigData Amir Atapour Abarghouei, A. Stephen McGough, David S. Wall
2019	—	`conf`	ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. e-Energy Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	J	`jnl`	ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	—	`conf`	Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model. e-Energy Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	—	`conf`	Optimising energy and overhead for large parameter space simulations. IGSC Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	J	`jnl`	Optimising energy and overhead for large parameter space simulations. CoRR Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
2019	J	`jnl`	The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation. CoRR Cameron Trotter, Georgia Atkinson, Matthew Sharpe, A. Stephen McGough, Nick Wright, Per Berggren
2018	—	`conf`	An Exploration of Dropout with RNNs for Natural Language Inference. ICANN (3) Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
2018	J	`jnl`	An Exploration of Dropout with RNNs for Natural Language Inference. CoRR Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
2018	J	`jnl`	Black-Box Autoregressive Density Estimation for State-Space Models. CoRR Tom Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
2018	A*	`conf`	Black-Box Variational Inference for Stochastic Differential Equations. ICML Thomas Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle
2018	—	`conf`	CAM: A Combined Attention Model for Natural Language Inference. IEEE BigData Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, Steven Bradley, A. Stephen McGough
2018	—	`conf`	Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment. ICPE Companion A. Stephen McGough, Matthew Forshaw
2018	J	`jnl`	Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM). Sustain. Comput. Informatics Syst. A. Stephen McGough, Matthew Forshaw
2018	—	`conf`	Segmenting Residential Smart Meter Data for Short-Term Load Forecasting. e-Energy Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
2018	C	`conf`	Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. ICMLA Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed
2018	—	`conf`	Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. ICANN (3) Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed
2018	—	`conf`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. IGSC A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2018	J	`jnl`	Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. CoRR A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner
2017	—	`conf`	Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine. HCI (22) Noura Al Moubayed, David Wall, A. Stephen McGough
2017	—	`conf`	Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems. ICPE Companion A. Stephen McGough, Noura Al Moubayed, Matthew Forshaw
2016	J	`jnl`	HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems. Concurr. Comput. Pract. Exp. Matthew Forshaw, A. Stephen McGough, Nigel Thomas
2016	—	`conf`	SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. ICANN (2) Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
2016	J	`jnl`	SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. CoRR Noura Al Moubayed, Toby P. Breckon, Peter Matthews, A. Stephen McGough
2015	C	`conf`	Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems. DS-RT A. Stephen McGough, Matthew Forshaw
2015	—	`conf`	Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster. SimuTools Matthew Forshaw, A. Stephen McGough
2014	J	`jnl`	Reduction of wasted energy in a volunteer computing system through Reinforcement Learning. Sustain. Comput. Informatics Syst. A. Stephen McGough, Matthew Forshaw
2014	C	`conf`	Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems. DS-RT Matthew Forshaw, Nigel Thomas, A. Stephen McGough
2012	Misc	`conf`	Massively parallel landscape-evolution modelling using general purpose graphical processing units. HiPC A. Stephen McGough, S. Liang, M. Rapoportas, R. Grey, G. Kumar Vinod, D. Maddy, A. Trueman, John Wainwright
2007	—	`ch.`	ICENI. Workflows for e-Science, Scientific Workflows for Grids A. Stephen McGough, William Lee, Jeremy Cohen, Eleftheria Katsiri, John Darlington
2002	J	`jnl`	ICENI: Optimisation of component applications within a Grid environment. Parallel Comput. Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven J. Newhouse, Tony Field, John Darlington
2002	—	`conf`	Meaning and Behaviour in Grid Oriented Components. GRID Anthony Edward Mayer, A. Stephen McGough, Murtaza Gulamali, Laurie Robert Young, Jim Stanton, Steven J. Newhouse, John Darlington
2001	—	`conf`	A Component Framework for HPC Applications. Euro-Par Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven J. Newhouse, John Darlington
2001	—	`conf`	An Integrated Grid Environment for Component Applications. GRID Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven J. Newhouse, Tony Field, John Darlington
2001	A	`conf`	Optimisation of component-based applications within a grid environment. SC Nathalie Furmento, Anthony Edward Mayer, A. Stephen McGough, Steven J. Newhouse, Tony Field, John Darlington