Dr Mike Edwards

Uchafbwyntiau Ymchwil

1. 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

   https://www.iadisportal.org/ac-icwi-2023-proceedings
2. 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.

   https://doi.org/10.5220/0011804000003411, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63778

   http://dx.doi.org/10.5220/0011804000003411
3. Clarkson, C., Edwards, M., & Xie, X. (2023). Active Anchors. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing SystemsACM.

   https://doi.org/10.1145/3596454.3597185, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63777

   http://dx.doi.org/10.1145/3596454.3597185
4. 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.

   https://doi.org/10.1145/3544549.3573853, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62272
5. 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.

   https://doi.org/10.1109/icip46576.2022.9897962, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60685

   https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding
6. 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.

   https://doi.org/10.1109/BMEI.2014.7002790, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20982
7. 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.

   https://doi.org/10.1016/j.cviu.2015.10.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26730
8. 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).

   https://doi.org/10.1007/978-3-319-48680-2_31, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32104
9. 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.

   https://doi.org/10.1109/percomw.2017.7917547, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33105
10. 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

    https://doi.org/10.1016/j.cviu.2019.102881, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52916

Holl Ymchwil