A. Stephen McGough

Affiliations:
  • Newcastle University, UK
  • Durham University, School of Engineering and Computing Sciences (former)


According to our database1, A. Stephen McGough authored at least 108 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data.
CoRR, 2023

Introducing NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies.
CoRR, 2023

Predicting the Performance of a Computing System with Deep Networks.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2.
Proceedings of the IEEE Conference on Games, 2023

NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies.
Proceedings of the IEEE International Conference on Big Data, 2023

The Forecastability of Underlying Building Electricity Demand from Time Series Data.
Proceedings of the IEEE International Conference on Big Data, 2023

How much data do I need? A case study on medical data.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience.
ACM Trans. Comput. Educ., 2022

PeaGlyph: Glyph design for investigation of balanced data structures.
Inf. Vis., 2022

Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption - A systematic review.
Eng. Appl. Artif. Intell., 2022

Long-term Reproducibility for Neural Architecture Search.
CoRR, 2022

Machine learning applications for electricity market agent-based models: A systematic literature review.
CoRR, 2022

Analysis of Reinforcement Learning for Determining Task Replication in Workflows.
Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022

SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology.
Proceedings of the IEEE International Conference on Big Data, 2022

Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data.
Proceedings of the IEEE International Conference on Big Data, 2022

A systematic literature review on machine learning for electricity market agent-based models.
Proceedings of the IEEE International Conference on Big Data, 2022

Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets.
Sustain. Comput. Informatics Syst., 2021

Using the One Minute Paper to Gain Insight into Potential Threshold Concepts in Artificial Intelligence Courses.
Proceedings of the CEP '21: Computing Education Practice 2021, 2021

Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild?
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Rank over Class: The Untapped Potential of Ranking in Natural Language Processing.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling.
PeerJ Comput. Sci., 2020

Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners.
CoRR, 2020

NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation.
CoRR, 2020

Distributed Disk Store.
Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020

Optimizing carbon tax for decentralized electricity markets using an agent-based model.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Long-term electricity market agent based model validation using genetic algorithm based optimization.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Exploring market power using deep reinforcement learning for intelligent bidding strategies.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
NUFEB: A massively parallel simulator for individual-based modelling of microbial communities.
PLoS Comput. Biol., 2019

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study.
Data Sci. Eng., 2019

A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation.
CoRR, 2019

The Northumberland Dolphin Dataset: A Multimedia Individual Cetacean Dataset for Fine-Grained Categorisation.
CoRR, 2019

Optimising energy and overhead for large parameter space simulations.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Volenti non fit injuria: Ransomware and its Victims.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

On the Use of Neural Text Generation for the Task of Optical Character Recognition.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018
Introduction to special issue on Energy-Aware Simulation and Modelling (ENERGY-SIM).
Sustain. Comput. Informatics Syst., 2018

Black-Box Autoregressive Density Estimation for State-Space Models.
CoRR, 2018

Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Black-Box Variational Inference for Stochastic Differential Equations.
Proceedings of the 35th International Conference on Machine Learning, 2018

An Exploration of Dropout with RNNs for Natural Language Inference.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.
Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

Segmenting Residential Smart Meter Data for Short-Term Load Forecasting.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Simulation of Virtual Machine Live Migration in High Throughput Computing Environments.
Proceedings of the 22nd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2018

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Predicting the Computational Cost of Deep Learning Models.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

CAM: A Combined Attention Model for Natural Language Inference.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Enhanced detection of movement onset in EEG through deep oversampling.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Identifying Changes in the Cybersecurity Threat Landscape Using the LDA-Web Topic Modelling Data Search Engine.
Proceedings of the Human Aspects of Information Security, Privacy and Trust, 2017

Evaluating the quality of graph embeddings via topological feature reconstruction.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
HTC-Sim: a trace-driven simulation framework for energy consumption in high-throughput computing systems.
Concurr. Comput. Pract. Exp., 2016

SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

GFP-X: A parallel approach to massive graph comparison using spark.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Deep topology classification: A new approach for massive graph classification.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Ben-ware: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2015

Flipping the priority: effects of prioritising HTC jobs on energy consumption in a multi-use cluster.
Proceedings of the 8th International Conference on Simulation Tools and Techniques, 2015

Energy-Aware Simulation of Workflow Execution in High Throughput Computing Systems.
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware).
Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats, 2015

Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning.
Sustain. Comput. Informatics Syst., 2014

Comparison of a cost-effective virtual cloud cluster with an existing campus cluster.
Future Gener. Comput. Syst., 2014

Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems.
Proceedings of the Seventh International Workshop on the Practical Application of Stochastic Modelling, 2014

Optimal Hiring of Cloud Servers.
Proceedings of the Computer Performance Engineering - 11th European Workshop, 2014

Trace-Driven Simulation for Energy Consumption in High Throughput Computing Systems.
Proceedings of the 18th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2014

2013
Flood modelling for cities using Cloud computing.
J. Cloud Comput., 2013

Analysis of power-saving techniques over a large multi-use cluster with variable workload.
Concurr. Comput. Pract. Exp., 2013

2012
Massively parallel landscape-evolution modelling using general purpose graphical processing units.
Proceedings of the 19th International Conference on High Performance Computing, 2012

Reducing the Number of Miscreant Tasks Executions in a Multi-use Cluster.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011
Developing a Cost-Effective Virtual Cluster on the Cloud.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2011

Analysis of Power-Saving Techniques over a Large Multi-use Cluster.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011

2010
Intelligent Power Management Over Large Clusters.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

2008
A standards based approach to enabling legacy applications on the Grid.
Future Gener. Comput. Syst., 2008

Capacity planning and scheduling in Grid computing environments.
Future Gener. Comput. Syst., 2008

Adding Standards Based Job Submission to a Commodity Grid Broker.
Proceedings of the Fourth International Conference on e-Science, 2008

2007
GRIDCC: A Real-time Grid workflow system with QoS.
Sci. Program., 2007

GRIDCC: real-time workflow system.
Proceedings of the 2nd workshop on Workflows in support of large-scale science, 2007

Enabling QoS for Service-Oriented Workflow on GRID.
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

ICENI.
Proceedings of the Workflows for e-Science, Scientific Workflows for Grids., 2007

2006
A Profitable Broker in a Volatile Utility Grid.
Int. Trans. Syst. Sci. Appl., 2006

Workflow Deployment in ICENI II.
Proceedings of the Computational Science, 2006

Adding Instruments and Workflow Support to Existing Grid Architectures.
Proceedings of the Computational Science, 2006

QoS Support For Workflows In A Volatile Grid.
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006

QoS-Constrained Stochastic Workflow Scheduling in Enterprise and Scientific Grids.
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006

Stochastic Workflow Scheduling with QoS Guarantees in Grid Computing Environments.
Proceedings of the Grid and Cooperative Computing, 2006

Capacity Planning and Stochastic Scheduling in Large-Scale Grids.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

2005
An End-to-end Workflow Pipeline for Large-scale Grid Computing.
J. Grid Comput., 2005

Making the Grid Predictable through Reservations and Performance Modelling.
Comput. J., 2005

2002
Efficient parallel simulation of a sliding window protocol.
Perform. Evaluation, 2002

ICENI: Optimisation of component applications within a Grid environment.
Parallel Comput., 2002

Meaning and Behaviour in Grid Oriented Components.
Proceedings of the Grid Computing, 2002

2001
Optimisation of component-based applications within a grid environment.
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001

An Integrated Grid Environment for Component Applications.
Proceedings of the Grid Computing, 2001

A Component Framework for HPC Applications.
Proceedings of the Euro-Par 2001: Parallel Processing, 2001

2000
Parallel simulations using recurrence relations and relaxation.
PhD thesis, 2000

Parallel simulation of ATM switches using relaxation.
Perform. Evaluation, 2000

Efficient distributed simulation of a communication switch with bursty sources and losses.
Proceedings of the 14th Workshop on Parallel and Distributed Simulation, 2000


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