Publications by Dr Stephen McGough - ePrints

Browsing publications by Dr Stephen McGough.

Newcastle Authors	Title	Year
Teymoor Ali Dr Chris Holder Dr Stephen McGough Dr Deepayan Bhowmik	Remote Sensing Classification using Quantum Image Processing	2024
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