Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.
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.
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.
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., 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
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.
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).
Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors: Similarity Based Refinement Learning. In International Conference on Applied Computing 2023 (pp. 47-56). IADIS.
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.
Hepburn-Dickins, F., Jones, M., Edwards, M., Morgan, J., & Bell, S. (n.d.) SIGNN - Star Identification using Graph Neural Networks. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb. 2025