|
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 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 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. |
|
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 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 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 |
|
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 |
|
2022 Conference Publication Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screeningLockey, Steve, Gillespie, Nicole, Curtis, Caitlin, Bingley, William, Worthy, Peter, Haslam, Alexander, Steffens, Niklas, Bialkowski, Alina, Ko, Ryan and Wiles, Janet (2022). Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening. 82nd Annual Meeting of the Academy of Management, Seattle, WA United States, 5-9 August 2022. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/ambpp.2022.10638abstract |
|
2022 Conference Publication Feature similarity and its correlation with accuracy in knowledge distillationSaha, Aninda, Bialkowski, Alina and Khalifa, Sara (2022). Feature similarity and its correlation with accuracy in knowledge distillation. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034621 |
|
2022 Conference Publication Explainable deep learning for medical imaging models through class specific semantic dictionariesLayton, Harrison, Shrapnel, Sally and Bialkowski, Alina (2022). Explainable deep learning for medical imaging models through class specific semantic dictionaries. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034639 |
|
2022 Conference Publication Unified framework for effective knowledge distillation in single-stage object detectorsSaha, Aninda, Bialkowski, Alina and Khalifa, Sara (2022). Unified framework for effective knowledge distillation in single-stage object detectors. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034621 |
|
2021 Conference Publication Fusion of traffic sensors for enhanced road monitoringBialkowski, Alina, Bialkowski, Konstanty and Brankovic, Aida (2021). Fusion of traffic sensors for enhanced road monitoring. 17th ITS Asia Pacific Forum, Brisbane, Australia, 12-15 April 2021. |
|
2017 Conference Publication Predicting the perceptual demands of urban driving with video regressionPalmer, Luke, Bialkowski, Alina, Brostow, Gabriel J., Ambeck-Madsen, Jonas and Lavie, Nilli (2017). Predicting the perceptual demands of urban driving with video regression. 17th IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, California, 24-31 March 2017. NEW YORK: IEEE. doi: 10.1109/wacv.2017.52 |
|
2015 Conference Publication Quality vs quantity: improved shot prediction in soccer using strategic features from spatiotemporal dataLucey, Patrick, Bialkowski, Alina, Monfort, Mathew, Carr, Peter and Matthews, Iain (2015). Quality vs quantity: improved shot prediction in soccer using strategic features from spatiotemporal data. MIT Sloan Sports Analytics Conference, Boston, MA United States, 27-28 February 2015. Boston, MA United States: MIT. |
|
2014 Conference Publication Win at home and draw away: automatic formation analysis highlighting the differences in home and away team behaviorsBialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong and Matthews, Iain (2014). Win at home and draw away: automatic formation analysis highlighting the differences in home and away team behaviors. MIT Sloan Sports Analytics Conference, Boston, MA, United States, 28 February - 1 March 2014. Boston, MA, United States: MIT. |
|
2014 Conference Publication How to get an open shot: analyzing team movement in basketball using tracking dataLucey, Patrick, Bialkowski, Alina, Carr, Peter, Yue, Yisong and Matthews, Iain (2014). How to get an open shot: analyzing team movement in basketball using tracking data. MIT Sloan Sports Analytics Conference, Boston, MA, United States, 28 February - 1 March 2014. Boston, MA, United States: MIT. |
|
2014 Conference Publication Identifying team style in soccer using formations learned from spatiotemporal tracking dataBialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong, Sridharan, Sridha and Matthews, Iain (2014). Identifying team style in soccer using formations learned from spatiotemporal tracking data. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Red Hook, NY, United States: Curran Associates. doi: 10.1109/icdmw.2014.167 |
|
2014 Conference Publication Learning fine-grained spatial models for dynamic sports play predictionYue, Yisong, Lucey, Patrick, Carr, Peter, Bialkowski, Alina and Matthews, Iain (2014). Learning fine-grained spatial models for dynamic sports play prediction. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Red Hook, NY, United States: Curran Associates. doi: 10.1109/icdm.2014.106 |
|
2014 Conference Publication Large-scale analysis of soccer matches using spatiotemporal tracking dataBialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong, Sridharan, Sridha and Matthews, Iain (2014). Large-scale analysis of soccer matches using spatiotemporal tracking data. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Red Hook, NY, United States: Curran Associates. doi: 10.1109/icdm.2014.133 |
