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Alina Bialkowski

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2020 – today

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2024
[j5]
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  - journals/sensors/XueGBA24
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Fei Xue, Lei Guo, Alina Bialkowski, Amin M. Abbosh:
Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects. Sensors 24(1): 8 (2024)
[c19]
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  - conf/iclr/000100BCX24
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Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. ICLR 2024
[c18]
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Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. SDM 2024: 779-787
[i2]
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  - journals/corr/abs-2401-17504
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Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. CoRR abs/2401.17504 (2024)
[i1]
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  - journals/corr/abs-2404-00506
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Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. CoRR abs/2404.00506 (2024)
2023
[j4]
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William J. Bingley, Caitlin Curtis, Steven Lockey, Alina Bialkowski, Nicole M. Gillespie, S. Alexander Haslam, Ryan K. L. Ko, Niklas Steffens, Janet Wiles, Peter Worthy:
Where is the human in human-centered AI? Insights from developer priorities and user experiences. Comput. Hum. Behav. 141: 107617 (2023)
[j3]
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  - journals/tim/ZhuBCGNSA23
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Guohun Zhu, Alina Bialkowski, Stuart Crozier, Lei Guo, Phong Thanh Nguyen, Anthony E. Stancombe, Amin M. Abbosh:
Brain Injury Localization and Size Estimation Using Electromagnetic Symmetric Crossing Lines Method. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
[c17]
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  - conf/ausai/JoyceAFBW23
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Joshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski, Hywel T. P. Williams:
Using Social Sensing to Validate Flood Risk Modelling in England. AI (2) 2023: 95-106
[c16]
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  - conf/ausai/WainwrightWLB23
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Richard Wainwright, Danny Wang, Harrison Layton, Alina Bialkowski:
Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification. AI (1) 2023: 533-544
[c15]
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  - conf/ijcnn/CusackB23
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Harrison Cusack, Alina Bialkowski:
The Effect of Training Data Quantity on Monte Carlo Dropout Uncertainty Quantification in Deep Learning. IJCNN 2023: 1-8
[c14]
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  - conf/pakdd/ShenZCBX23
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Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu:
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. PAKDD (4) 2023: 99-111
2022
[c13]
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  - conf/bmvc/SahaBK22
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Aninda Saha, Alina Bialkowski, Sara Khalifa:
Distilling Representational Similarity using Centered Kernel Alignment (CKA). BMVC 2022: 535
2021
[j2]
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  - journals/tci/Al-SaffarBBTGA21
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Ahmed Al-Saffar, Alina Bialkowski, Mahsa Baktashmotlagh, Adnan Trakic, Lei Guo, Amin M. Abbosh:
Closing the Gap of Simulation to Reality in Electromagnetic Imaging of Brain Strokes via Deep Neural Networks. IEEE Trans. Computational Imaging 7: 13-21 (2021)

2010 – 2019

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2017
[c12]
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  - conf/wacv/PalmerBBAL17
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Luke Palmer, Alina Bialkowski, Gabriel J. Brostow, Jonas Ambeck-Madsen, Nilli Lavie:
Predicting the Perceptual Demands of Urban Driving with Video Regression. WACV 2017: 409-417
2016
[j1]
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  - journals/tkde/BialkowskiL0MSF16
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Alina Bialkowski, Patrick Lucey, Peter Carr, Iain A. Matthews, Sridha Sridharan, Clinton Fookes:
Discovering Team Structures in Soccer from Spatiotemporal Data. IEEE Trans. Knowl. Data Eng. 28(10): 2596-2605 (2016)
2014
[c11]
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  - conf/icdm/BialkowskiLCYSM14a
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Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews:
Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data. ICDM Workshops 2014: 9-14
[c10]
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  - conf/icdm/YueLCBM14
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Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain A. Matthews:
Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction. ICDM 2014: 670-679
[c9]
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Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews:
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. ICDM 2014: 725-730
2013
[c8]
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  - conf/cvpr/BialkowskiLCDMS13
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Alina Bialkowski, Patrick Lucey, Peter Carr, Simon Denman, Iain A. Matthews, Sridha Sridharan:
Recognising Team Activities from Noisy Data. CVPR Workshops 2013: 984-990
[c7]
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  - conf/cvpr/LuceyBCMMS13
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Patrick Lucey, Alina Bialkowski, Peter Carr, Stuart Morgan, Iain A. Matthews, Yaser Sheikh:
Representing and Discovering Adversarial Team Behaviors Using Player Roles. CVPR 2013: 2706-2713
[c6]
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  - conf/dicta/BialkowskiLWS13
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Alina Bialkowski, Patrick Lucey, Xinyu Wei, Sridha Sridharan:
Person Re-Identification Using Group Information. DICTA 2013: 1-6
2012
[c5]
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  - conf/aaai/LuceyBCFM12
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Patrick Lucey, Alina Bialkowski, Peter Carr, Eric Foote, Iain A. Matthews:
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League. AAAI 2012: 1387-1393
[c4]
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  - conf/dicta/BialkowskiDSFL12
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Alina Bialkowski, Simon Denman, Sridha Sridharan, Clinton Fookes, Patrick Lucey:
A Database for Person Re-Identification in Multi-Camera Surveillance Networks. DICTA 2012: 1-8
[c3]
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  - conf/dicta/DenmanHBFS12
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Simon Denman, Michael Halstead, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Can You Describe Him for Me? A Technique for Semantic Person Search in Video. DICTA 2012: 1-8
[p1]
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  - series/sci/DenmanBFS12
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Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Identifying Customer Behaviour and Dwell Time Using Soft Biometrics. Video Analytics for Business Intelligence 2012: 199-238
2011
[c2]
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  - conf/avss/DenmanBFS11
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Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan:
Determining operational measures from multi-camera surveillance systems using soft biometrics. AVSS 2011: 462-467

2000 – 2009

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2009
[c1]
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  - conf/dicta/DenmanFBS09
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Simon Denman, Clinton Fookes, Alina Bialkowski, Sridha Sridharan:
Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment. DICTA 2009: 196-203

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