A. Stephen McGough
Orcid: 0000-0001-5626-0934Affiliations:
- Newcastle University, UK
- Durham University, School of Engineering and Computing Sciences (former)
According to our database1,
A. Stephen McGough
authored at least 111 papers
between 2000 and 2024.
Collaborative distances:
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on doc.ic.ac.uk
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Bibliography
2024
CoRR, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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
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
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
2022
Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience.
ACM Trans. Comput. Educ., 2022
Inf. Vis., 2022
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption - A systematic review.
Eng. Appl. Artif. Intell., 2022
Machine learning applications for electricity market agent-based models: A systematic literature review.
CoRR, 2022
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
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
CoRR, 2020
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation.
CoRR, 2020
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
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
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
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
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
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
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
2018
Sustain. Comput. Informatics Syst., 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
Proceedings of the 35th International Conference on Machine Learning, 2018
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
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
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
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
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
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
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
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
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
Proceedings of the Computer Performance Engineering - 11th European Workshop, 2014
Proceedings of the 18th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2014
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
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012
2011
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2011
Proceedings of the IEEE Ninth International Conference on Dependable, 2011
2010
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010
2008
Future Gener. Comput. Syst., 2008
Future Gener. Comput. Syst., 2008
Proceedings of the Fourth International Conference on e-Science, 2008
2007
Proceedings of the 2nd workshop on Workflows in support of large-scale science, 2007
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007
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
Proceedings of the Computational Science, 2006
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006
Proceedings of the Grid and Cooperative Computing, 2006
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006
2005
J. Grid Comput., 2005
Comput. J., 2005
2002
Perform. Evaluation, 2002
Parallel Comput., 2002
Proceedings of the Grid Computing, 2002
2001
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001
Proceedings of the Grid Computing, 2001
Proceedings of the Euro-Par 2001: Parallel Processing, 2001
2000
Efficient distributed simulation of a communication switch with bursty sources and losses.
Proceedings of the 14th Workshop on Parallel and Distributed Simulation, 2000