|
2024 Journal Article Clutter removal for microwave head imaging via self-supervised deep learning techniquesLai, Wei-chung, Guo, Lei, Bialkowski, Konstanty, Abbosh, Amin and Bialkowski, Alina (2024). Clutter removal for microwave head imaging via self-supervised deep learning techniques. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 8 (4), 384-392. doi: 10.1109/jerm.2024.3409846 |
|
2024 Conference Publication Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imagingXue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2024). Evaluation of fully convolutional networks for dielectric profile reconstruction in medical microwave imaging. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686390 |
|
2024 Journal Article Clinical electromagnetic brain scannerAbbosh, Amin, Bialkowski, Konstanty, Guo, Lei, Al-Saffar, Ahmed, Zamani, Ali, Trakic, Adnan, Brankovic, Aida, Bialkowski, Alina, Zhu, Guohun, Cook, David and Crozier, Stuart (2024). Clinical electromagnetic brain scanner. Scientific Reports, 14 (1) 5760, 1-16. doi: 10.1038/s41598-024-55360-7 |
|
2024 Journal Article Markerless motion capture provides accurate predictions of ground reaction forces across a range of movement tasksLichtwark, Glen A., Schuster, Robert W., Kelly, Luke A., Trost, Stewart G. and Bialkowski, Alina (2024). Markerless motion capture provides accurate predictions of ground reaction forces across a range of movement tasks. Journal of Biomechanics, 166 112051, 112051. doi: 10.1016/j.jbiomech.2024.112051 |
|
2024 Journal Article Transfer Deep Learning for Dielectric Profile Reconstruction in Microwave Medical ImagingXue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin M. (2024). Transfer Deep Learning for Dielectric Profile Reconstruction in Microwave Medical Imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 8 (4), 1-11. doi: 10.1109/jerm.2024.3402048 |
|
2024 Conference Publication Label-agnostic forgetting: a supervision-free unlearning in deep modelsShen, Shaofei, Zhang, Chenhao, Zhao, Yawen, Chen, Weitong, Bialkowski, Alina and Xu, Miao (2024). Label-agnostic forgetting: a supervision-free unlearning in deep models. 12th International Conference on Learning Representations, ICLR 2024, Vienna, Austria, 7-11 May 2024. Vienna, Austria: International Conference on Learning Representations, ICLR. |
|
2024 Conference Publication CaMU: Disentangling Causal Effects in Deep Model UnlearningShen, Shaofei, Zhang, Chenhao, Bialkowski, Alina, Chen, Weitong and Xu, Miao (2024). CaMU: Disentangling Causal Effects in Deep Model Unlearning. 2024 SIAM InternationalConference on Data Mining (SDM'24), Houston, TX United States, 18 - 20 April 2024. Philadelphia, PA United States: Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611978032.89 |
|
2024 Journal Article Integrated Boundary-Overlap-Size Metric for Local Assessment of Deep Learning Methods in Medical Microwave ImagingXue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin M. (2024). Integrated Boundary-Overlap-Size Metric for Local Assessment of Deep Learning Methods in Medical Microwave Imaging. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 1-11. doi: 10.1109/jerm.2024.3485250 |
|
2023 Journal Article Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objectsXue, Fei, Guo, Lei, Bialkowski, Alina and Abbosh, Amin (2023). Training universal deep-learning networks for electromagnetic medical imaging using a large database of randomized objects. Sensors, 24 (1) 8, 1-8. doi: 10.3390/s24010008 |
|
2023 Conference Publication Beyond model accuracy: identifying hidden underlying issues in chest x-ray classificationWainwright, Richard, Wang, Danny, Layton, Harrison and Bialkowski, Alina (2023). Beyond model accuracy: identifying hidden underlying issues in chest x-ray classification. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November - 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_43 |
|
2023 Conference Publication Using social sensing to validate flood risk modelling in EnglandJoyce, Joshua, Arthur, Rudy, Fu, Guangtao, Bialkowski, Alina and Williams, Hywel (2023). Using social sensing to validate flood risk modelling in England. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November - 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8391-9_8 |
|
2023 Journal Article Enlarging the model of the human at the heart of human-centered AI: a social self-determination model of AI system impactBingley, William J., Haslam, S. Alexander, Steffens, Niklas K., Gillespie, Nicole, Worthy, Peter, Curtis, Caitlin, Lockey, Steven, Bialkowski, Alina, Ko, Ryan K.L. and Wiles, Janet (2023). Enlarging the model of the human at the heart of human-centered AI: a social self-determination model of AI system impact. New Ideas in Psychology, 70 101025, 1-12. doi: 10.1016/j.newideapsych.2023.101025 |
|
2023 Journal Article An explainable deep learning method for microwave head stroke localizationLai, Wei-chung, Guo, Lei, Bialkowski, Konstanty and Bialkowski, Alina (2023). An explainable deep learning method for microwave head stroke localization. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 7 (4), 336-343. doi: 10.1109/jerm.2023.3287681 |
|
2023 Conference Publication The effect of training data quantity on Monte Carlo Dropout uncertainty quantification in deep learningCusack, Harrison and Bialkowski, Alina (2023). The effect of training data quantity on Monte Carlo Dropout uncertainty quantification in deep learning. 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, QLD, Australia, 18-23 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn54540.2023.10191327 |
|
2023 Journal Article Where is the human in human-centered AI? Insights from developer priorities and user experiencesBingley, William J., Curtis, Caitlin, Lockey, Steven, Bialkowski, Alina, Gillespie, Nicole, Haslam, S. Alexander, Ko, Ryan K.L., Steffens, Niklas, Wiles, Janet and Worthy, Peter (2023). Where is the human in human-centered AI? Insights from developer priorities and user experiences. Computers in Human Behavior, 141 107617, 1-8. doi: 10.1016/j.chb.2022.107617 |
|
2023 Journal Article Stroke localization using multiple ridge regression predictors based on electromagnetic signalsGao, Shang, Zhu, Guohun, Bialkowski, Alina and Zhou, Xujuan (2023). Stroke localization using multiple ridge regression predictors based on electromagnetic signals. Mathematics, 11 (2) 464, 464. doi: 10.3390/math11020464 |
|
2023 Journal Article Brain injury localization and size estimation using electromagnetic symmetric crossing lines methodZhu, Guohun, Bialkowski, Alina, Crozier, Stuart, Guo, Lei, Nguyen, Phong, Stancombe, Anthony and Abbosh, Amin (2023). Brain injury localization and size estimation using electromagnetic symmetric crossing lines method. IEEE Transactions on Instrumentation and Measurement, 72 2521011, 1-1. doi: 10.1109/tim.2023.3295014 |
|
2023 Book Chapter Words can be confusing: stereotype bias removal in text classification at the word levelShen, Shaofei, Zhang, Mingzhe, Chen, Weitong, Bialkowski, Alina and Xu, Miao (2023). Words can be confusing: stereotype bias removal in text classification at the word level. Advances in knowledge discovery and data mining. (pp. 99-111) edited by Hisashi Kashima, Tsuyoshi Ide and Wen-Chih Peng. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-33383-5_8 |
|
2022 Conference Publication Distilling representational similarity using Centered Kernel Alignment (CKA)Saha, Aninda, Bialkowski, Alina and Khalifa, Sara (2022). Distilling representational similarity using Centered Kernel Alignment (CKA). British Machine Vision Conference, London, United Kingdom, 21-24 November 2022. British Machine Vision Association (BMVA). |
|
2022 Conference Publication Anomaly localisation from microwave signals using deep learningLai, Wei-Chung and Bialkowski, Alina (2022). Anomaly localisation from microwave signals using deep learning. 27th International Symposium on Antennas and Propagation (ISAP), Sydney, Australia, 31 October-3 November 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isap53582.2022.9998673 |
