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Browsing publications by
Dr Stephen McGough.
Newcastle Authors
Title
Year
Full text
Mehmet Cengiz
Dr Matthew Forshaw
Dr Amir Atapour Abarghouei
Dr Stephen McGough
Predicting the Performance of a Computing System with Deep Networks
2023
Sam Appleby
Dr Kirsten Crane
Dr Giacomo Bergami
Dr Stephen McGough
SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2
2023
Mohamad Khalil
Dr Stephen McGough
Dr Zoya Pourmirza
Dr Mehdi Pazhoohesh
Professor Sara Walker
et al.
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
2022
Dr Kenan Koc
Dr Stephen McGough
Dr Sara Johansson Fernstad
PeaGlyph: Glyph design for investigation of balanced data structures
2022
Becky Allen
Dr Stephen McGough
Dr Marie Devlin
Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience
2022
Dr Stephen McGough
Application of Machine Learning Techniques to an Agent-Based Model of
Pantoea
2021
Alex Kell
Dr Stephen McGough
Dr Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
2021
Mohamad Khalil
Dr Stephen McGough
Dr Zoya Pourmirza
Dr Mehdi Pazhoohesh
Professor Sara Walker
et al.
Transfer Learning Approach for Occupancy Prediction in Smart Buildings
2021
Becky Allen
Dr Marie Devlin
Dr Stephen McGough
Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses
2021
Dr Noura Al Moubayed
Dr Stephen McGough
Dr Bashar Awwad Shiekh Hasan
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
2020
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs
2020
Dr Stephen McGough
Distributed Disk Store
2020
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization
2020
Dr Cameron Trotter
Dr Georgia Atkinson
Dr Matthew Sharpe
Dr Kirsten Crane
Dr Stephen McGough
et al.
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
2020
Dr John Brennan
Stephen Bonner
Dr Amir Atapour Abarghouei
Phillip Jackson
Professor Boguslaw Obara
et al.
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
2020
Alex Kell
Dr Stephen McGough
Dr Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model
2020
Dr Amir Atapour Abarghouei
Dr Stephen McGough
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
2020
Dr Amir Atapour Abarghouei
Stephen Bonner
Dr Stephen McGough
A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
2019
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning
2019
Stephen Bonner
Dr John Brennan
Dr Stephen McGough
Professor Boguslaw Obara
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
2019
Dr Valentina Gogulancea
Dr Rebeca Gonzalez-Cabaleiro
Dr Bowen Li
Dr Denis Taniguchi
Dr Jinju Chen
et al.
Individual based model links thermodynamics, chemical speciation and environmental conditions to microbial growth
2019
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model
2019
Dr Bowen Li
Dr Denis Taniguchi
Dr Jayathilake Pahala Gedara
Dr Valentina Gogulancea
Dr Rebeca Gonzalez-Cabaleiro
et al.
NUFEB: A Massively Parallel Simulator for Individual-based Modelling of Microbial Communities
2019
Dr Stephen McGough
Professor Boguslaw Obara
On the Use of Neural Text Generation for the Task of Optical Character Recognition
2019
Alex Kell
Dr Matthew Forshaw
Dr Stephen McGough
Optimising energy and overhead for large parameter space simulations
2019
Osama Alrajeh
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
Simulation of Virtual Machine Live Migration in High Throughput Computing Environments
2019
Stephen Bonner
Dr Amir Atapour Abarghouei
Phillip Jackson
Dr John Brennan
Dr Stephen McGough
et al.
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions
2019
Dr Stephen McGough
Professor Per Berggren
The Northumberland Dolphin Dataset: A Multimedia Individual CetaceanDataset for Fine-Grained Categorisation
2019
Dr Amir Atapour Abarghouei
Stephen Bonner
Dr Stephen McGough
Volenti non fit injuria: Ransomware and its Victims
2019
Dr Stephen McGough
An exploration of dropout with RNNs for natural language inference
2018
Tom Ryder
Dr Andrew Golightly
Dr Stephen McGough
Dr Dennis Prangle
Black-box Variational Inference for Stochastic Differential Equations
2018
Dr Noura Al Moubayed
Dr Steven Bradley
Dr Stephen McGough
CAM: A Combined Attention Model for Natural Language Inference
2018
Dr Matthew Forshaw
Dr Stephen McGough
Clustering Vehicles based on Trips Identified from Automatic Number Plate Recognition Camera Scans
2018
Dr Stephen McGough
Dr Matthew Forshaw
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment
2018
Dr Stephen McGough
Dr Matthew Forshaw
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM)
2018
Dr John Brennan
Dr Stephen McGough
Predicting the Computational Cost of Deep Learning Models
2018
Alex Kell
Dr Stephen McGough
Dr Matthew Forshaw
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
2018
Dr Stephen McGough
Stacked Denoising Autoencoders for mortality risk prediction using imbalanced clinical data
2018
Dr John Brennan
Dr Stephen McGough
Professor Boguslaw Obara
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
2018
Dr Chris Willcocks
Dr Stephen McGough
Professor Boguslaw Obara
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
2018
Dr Stephen McGough
Dr Noura Al Moubayed
Type-2 Diabetes Mellitus diagnosis from time series clinical data using Deep Learning models
2018
Dr Stephen McGough
Dr Matthew Forshaw
Dr John Brennan
Dr Noura Al Moubayed
Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments
2018
Dr Jayathilake Pahala Gedara
Dr Prashant Gupta
Dr Bowen Li
Dr Curtis Madsen
Dr Oluwole Oyebamiji
et al.
A mechanistic individual-based model of microbial communities
2017
Dr Bashar Awwad Shiekh Hasan
Dr Stephen McGough
Enhanced Detection of Movement Onset in EEG through Deep Oversampling
2017
Dr John Brennan
Dr Stephen McGough
Professor Boguslaw Obara
Evaluating the quality of graph embeddings via topological feature reconstruction
2017
Dr Noura Al Moubayed
Dr Stephen McGough
Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine
2017
Dr Stephen McGough
Dr Matthew Forshaw
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems
2017
Dr John Brennan
Dr Stephen McGough
Deep Topology Classification: A New Approach for Massive Graph Classification
2016
Dr John Brennan
Dr Stephen McGough
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'
2016
Dr John Brennan
Dr Stephen McGough
GFP-X: A Parallel Approach To Massive Graph Comparison Using Spark
2016
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems
2016
Dr Noura Al Moubayed
Dr Stephen McGough
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder
2016
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
The case for energy-aware simulation and modelling of internet of things (IoT)
2016
Dr Stephen McGough
Dr John Brennan
Data quality assessment and anomaly detection via map/reduce and linked data: a case study in the medical domain
2015
Dr Stephen McGough
Dr Budi Arief
Dr Carl Gamble
Dr John Brennan
Professor John Fitzgerald
et al.
Detecting insider threats using ben-ware: Beneficial intelligent software for identifying anomalous human behaviour
2015
Dr Stephen McGough
Dr Matthew Forshaw
Energy-aware simulation of workflow execution in High Throughput Computing systems
2015
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
2015
Dr Matthew Forshaw
Dr Stephen McGough
Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster
2015
Dr Stephen McGough
Dr John Brennan
Dr Leonardus Arief
Dr Carl Gamble
Professor Aad van Moorsel
et al.
Insider Threats: Identifying Anomalous Human Behaviour in Hereogeneous Systems Using Beneficial Intelligent Software (Ben-ware)
2015
Dr Stephen McGough
Dr Matthew Forshaw
Dr Stuart Wheater
Dr Ben Allen
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster
2014
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
Energy-efficient checkpointing in high-throughput cycle-stealing distributed systems
2014
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
2014
Dr Matthew Forshaw
Dr Stephen McGough
Dr Nigel Thomas
On energy-efficient checkpointing in high-throughput cycle-stealing distributed systems
2014
Dr Stephen McGough
Emeritus Professor Isi Mitrani
Optimal Hiring of Cloud Servers
2014
Dr Stephen McGough
Dr Matthew Forshaw
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning
2014
Dr Matthew Forshaw
Dr Nigel Thomas
Dr Stephen McGough
Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems
2014
Dr Stephen McGough
Dr Matthew Forshaw
Dr Clive Gerrard
Dr Paul Robinson
Dr Stuart Wheater
et al.
Analysis of power-saving techniques over a large multi-use cluster with variable workload
2013
Dr Vassilis Glenis
Dr Stephen McGough
Dr Vedrana Kutija
Professor Chris Kilsby
Dr Simon Woodman
et al.
Flood modelling for cities using Cloud computing
2013
Dr Vassilis Glenis
Dr Vedrana Kutija
Professor Chris Kilsby
Dr Stephen McGough
Dr Simon Woodman
et al.
Urban flood modelling using cloud computing
2013
Dr Stephen McGough
Professor Darrel Maddy
Massively parallel landscape-evolution modelling using general purpose graphical processing units
2012
Dr Stephen McGough
Dr Matthew Forshaw
Dr Clive Gerrard
Dr Stuart Wheater
Reducing the number of miscreant tasks executions in a multi-use cluster
2012
Dr Stephen McGough
Mark Turner
Dr Derek Mortimer
Dr Simon Woodman
Professor Paul Watson
et al.
The Cutting Edge: Discoverability for Historical Artefacts
2012
Dr Stephen McGough
Dr Clive Gerrard
Jonathan Noble
Dr Paul Robinson
Dr Stuart Wheater
et al.
Analysis of Power-Saving Techniques over a large multi-use Cluster
2011
Dr Stephen McGough
Dr Clive Gerrard
Paul Haldane
David Sharples
Dr Paul Robinson
et al.
Intelligent Power Management over Large Clusters
2010
Dr Stephen McGough
Emeritus Professor Isi Mitrani
Efficient parallel simulation of a sliding window protocol
2002
Dr Stephen McGough
Emeritus Professor Isi Mitrani
Efficient distributed simulation of a communication switch with bursty sources and losses.
2000
Dr Stephen McGough
Emeritus Professor Isi Mitrani
Parallel Simulation of ATM Switches Using Relaxation
2000
Dr Stephen McGough
Emeritus Professor Isi Mitrani
Parallel simulation of ATM switches using relaxation
2000
Dr Stephen McGough
Parallel simulations using recurrence relations and relaxation [PhD thesis]
2000
Dr Stephen McGough
Emeritus Professor Isi Mitrani
Parallel Simulation of ATM Switches Using Relaxation
1998