Trosolwg
Mae Dr Michael Edwards yn ddarlithydd yn yr Adran Gyfrifiadureg ym Mhrifysgol Abertawe.
Dr Mike Edwards
Prif Gysylltydd Data Pensaer
Health Data Science
Welsh language proficiency
Siaradwr Cymraeg Sylfaenol
506
Pumed Llawr
Yr Adeilad Gwyddor Data
Campws Singleton
Pumed Llawr
Yr Adeilad Gwyddor Data
Campws Singleton
Dolenni Ymchwil
Cyhoeddiadau
Uchafbwyntiau Ymchwil
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Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.SU 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.
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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.
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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.
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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).
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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., Xie, X., Palmer, R., Tam, G., Alcock, R., & Roobottom, C. (2020). Graph convolutional neural network for multi-scale feature learning. Computer Vision and Image Understanding, 194, 102881
Holl Ymchwil
Erthyglau Cylchgronau
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Lloyd-Roberts, B., Pantekis, F., James, P., O'Reilly, L., & Edwards, M. (2025). Scaling Invariant Generation Using State Space Embeddings and GPU Streaming. Concurrency and Computation: Practice and Experience, 37(25-26), e70353
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Lyons, J., Johnson, R., Edwards, M., Turner, S., Fry, R., Griffiths, L., & Lyons, R. (2025). Administrative data linkage to Census 2021 in Wales, UK: A cross-sectional study examining completeness and representativeness for population analytics. International Journal of Population Data Science, 10(1)
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Clarkson, C., Edwards, M., & Xie, X. (2024). Dense Semantic Refinement Using Active Similarity Learning. International Journal on Computer Science and Information Systems, 19(1)SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66967
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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. (2020). 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.
Penodau Llyfrau
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Clarkson, C., Edwards, M., & Xie, X. (2026). Active Deep Clustering: Exploratory Analysis to Assist in Decision-Making on Incremental Label Morphing Datasets. Lecture Notes in Computer Science (pp. 251-263). Springer Nature Switzerland
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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).
Cyfraniadau Cynadleddau
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Atkins, C., Tam, G., Edwards, M., Aslam, M., & Zhang, J. (2026). Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection. In Lecture Notes in Computer Science (pp. 87-101). Springer Nature Switzerland.
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Hepburn-Dickins, F., Jones, M., Edwards, M., Morgan, J., & Bell, S. (2025). SIGNN – Star Identification Using Graph Neural Networks. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 9063-9072). IEEE.
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Lloyd-Roberts, B., Pantekis, F., James, P., O'Reilly, L., & Edwards, M. (2024). Effective Candidate Invariant Generation Using GPGPUs and Optimisations. In 2024 Twelfth International Symposium on Computing and Networking (CANDAR) (pp. 77-86). IEEE.
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Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.SU 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.
-
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.
-
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.
-
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.
Goruchwyliaeth
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Human Interfaces with Machine Learning Recognition Systems (dyfarnwyd 2025)
PhDGoruchwyliwr arall: Prof Xianghua Xie -
HIVE: Harvesting and Intelligent Versatile Equipment (cyfredol)
PhDGoruchwyliwr arall: Dr Daniele Cafolla -
Histopathology Image Processing within the Colorectal Cancer Diagnosis Pathway (cyfredol)
PhDGoruchwyliwr arall: Prof Jiaxiang Zhang -
Explainability and Uncertainty Quantification in Networks and Social Systems (dyfarnwyd 2024)
PhDGoruchwyliwr arall: Prof Xianghua Xie -
Mining Invariants from Reachability Traces (cyfredol)
PhDGoruchwyliwr arall: Prof Xianghua XieGoruchwyliwr arall: Dr Liam O'Reilly -
Mass labelling Remote Sensing Images: A visualisation and machine learning combinatory approach. (cyfredol)
PhDGoruchwyliwr arall: Prof Mark Jones -
Irregular Domain Deep Learning (dyfarnwyd 2023)
PhDGoruchwyliwr arall: Dr Gary TamGoruchwyliwr arall: Prof Xianghua Xie