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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 |
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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 |
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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/DICTA56598.2022.10034590 |
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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 |
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2021 Other Outputs Machine learning onboard satellitesSmartSat, Saha, Aninda , Sun, Yu , Bialkowski, Alina , Nguyen, Kien , Qin, A. Kai and Fookes, Clinton (2021). Machine learning onboard satellites. Adelaide, Australia: SmartSat Cooperative Research Centre. |
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2021 Journal Article Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute strokeCook, David, Brown, Helen, Widanapathirana, Isuravi, Shah, Darshan, Walsham, James, Trakic, Adnan, Zhu, Guohun, Zamani, Ali, Guo, Lei, Brankovic, Aida, Al-Saffar, Ahmed, Stancombe, Anthony, Bialkowski, Alina, Nguyen, Phong, Bialkowski, Konstanty, Crozier, Stuart and Abbosh, Amin (2021). Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke. Frontiers in Neurology, 12 765412, 765412. doi: 10.3389/fneur.2021.765412 |
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2021 Other Outputs Apparatus and process for medical imagingAbbosh, Amin, Afasri, Arman, Zamani, Ali, Bialkowski, Alina, Zhu, Guohun, Nguyen, Thanh Phong, Guo, Lei and Wang, Yifan (2021). Apparatus and process for medical imaging. EP3846688A1. |
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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. |
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2021 Journal Article Stroke classification in simulated electromagnetic imaging using graph approachesZhu, Guohun, Bialkowski, Alina, Guo, Lei, Mohammed, Beada'a and Abbosh, Amin (2021). Stroke classification in simulated electromagnetic imaging using graph approaches. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 5 (1) 9095216, 46-53. doi: 10.1109/JERM.2020.2995329 |
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2020 Journal Article Closing the gap of simulation to reality in electromagnetic imaging of brain strokes via deep neural networksAl-Saffar, Ahmed, Bialkowski, Alina, Baktashmotlagh, Mahsa, Trakic, Adnan, Guo, Lei and Abbosh, Amin (2020). Closing the gap of simulation to reality in electromagnetic imaging of brain strokes via deep neural networks. IEEE Transactions on Computational Imaging, 7 9274540, 13-21. doi: 10.1109/tci.2020.3041092 |
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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 |
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2016 Journal Article Discovering team structures in soccer from spatiotemporal dataBialkowski, Alina, Lucey, Patrick, Carr, Peter, Matthews, Iain, Sridharan, Sridha and Fookes, Clinton (2016). Discovering team structures in soccer from spatiotemporal data. IEEE Transactions on Knowledge and Data Engineering, 28 (10) 7492601, 2596-2605. doi: 10.1109/tkde.2016.2581158 |
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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. |
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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. |
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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. |
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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 |
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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 |
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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 |
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2014 Book Chapter Representing team behaviours from noisy data using player roleBialkowski, Alina, Lucey, Patrick, Carr, Peter, Sridharan, Sridha and Matthews, Iain (2014). Representing team behaviours from noisy data using player role. Computer Vision in Sports. (pp. 247-269) Cham, Switzerland: Springer . doi: 10.1007/978-3-319-09396-3_12 |
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2013 Conference Publication Person re-identification using group informationBialkowski, Alina, Lucey, Patrick, Wei, Xinyu and Sridharan, Sridha (2013). Person re-identification using group information. 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Hobart, Tasmania, 26-28 November 2013. Red Hook, NY, United States: Curran Associates. doi: 10.1109/dicta.2013.6691512 |
