About
Dr Michael Edwards is a Lecturer in the Department of Computer Science, Swansea University.
Dr Mike Edwards
Principal Data Linkage Architect,
Health Data Science
Office - 217
Second Floor
Computational Foundry
Bay Campus
Second Floor
Computational Foundry
Bay Campus
Research Links
Publications
Research Highlights
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Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied ComputingSU Repository: https://cronfa.swan.ac.uk/Record/cronfa64165
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Hepburn-Dickins, F. & Edwards, M. (2023). Noise Robustness of Data-Driven Star Classification. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (pp. 176-184). SCITEPRESS - Science and Technology Publications.
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Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
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Lloyd-Roberts, B., James, P., Edwards, M., Robinson, S., James, P., & Werner, T. (2023). Improving Railway Safety: Human-in-the-loop Invariant Finding. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing SystemsACM.
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Thomas, L., Edwards, M., Capsey, A., Rahat, A., & Roach, M. (2022). Deep Visual Place Recognition for Waterborne Domains. In 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.IEEE.
All Research
Journal Articles
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Kenning, M., Deng, J., Edwards, M., & Xie, X. (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters, 153, 100-106.
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Edwards, M., Xie, X., Palmer, R., Tam, G., Alcock, R., & Roobottom, C. (2019). Graph convolutional neural network for multi-scale feature learning. Computer Vision and Image Understanding, 194, 102881
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Edwards, M., Edwards, M., Deng, J., & Xie, X. (2016). From pose to activity: Surveying datasets and introducing CONVERSE. Computer Vision and Image Understanding, 144, 73-105.
Book Chapters
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Edwards, M., Deng, J., Xie, X., & Edwards, M. (2016). Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. Advanced Concepts for Intelligent Vision Systems (pp. 349-360).
Conference Contributions
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Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied ComputingSU Repository: https://cronfa.swan.ac.uk/Record/cronfa64165
-
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.
-
Lloyd-Roberts, B., James, P., Edwards, M., Robinson, S., James, P., & Werner, T. (2023). Improving Railway Safety: Human-in-the-loop Invariant Finding. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing SystemsACM.
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Hepburn-Dickins, F. & Edwards, M. (2023). Noise Robustness of Data-Driven Star Classification. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (pp. 176-184). SCITEPRESS - Science and Technology Publications.
-
Thomas, L., Edwards, M., Capsey, A., Rahat, A., & Roach, M. (2022). Deep Visual Place Recognition for Waterborne Domains. In 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.IEEE.
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Edwards, M., Deng, J., & Xie, X. (2017). Labeling subtle conversational interactions within the CONVERSE dataset. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 140-145). IEEE.
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Edwards, M., Edwards, M., & Xie, X. (2014). Footstep pressure signal analysis for human identification. In Int'l Conf. BioMedical Engineering and Informatics (pp. 307-312). 7th International Conference on Biomedical Engineering and Informatics.
Supervision
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HIVE: Harvesting and Intelligent Versatile Equipment (current)
PhDOther supervisor: Dr Daniele Cafolla -
Histopathology Image Processing within the Colorectal Cancer Diagnosis Pathway (current)
PhDOther supervisor: Prof Jiaxiang Zhang -
Explainability and Uncertainty Quantification in Networks and Social Systems (current)
PhDOther supervisor: Prof Xianghua Xie -
Human Interfaces with Machine Learning Recognition Systems (current)
PhDOther supervisor: Prof Xianghua Xie -
Reinforcement Learning Invariants from State Space Observations (current)
PhDOther supervisor: Prof Xianghua XieOther supervisor: Dr Liam O'Reilly -
Geospatial machine learning in safety critical systems (current)
PhDOther supervisor: Prof Mark Jones -
Irregular Domain Deep Learning (awarded 2023)
PhDOther supervisor: Dr Gary TamOther supervisor: Prof Xianghua Xie