Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment. - Simon Denman; Clinton Fookes; Alina Bialkowski; Sridha Sridharan (DICTA, 2009)

Determining operational measures from multi-camera surveillance systems using soft biometrics. - Simon Denman; Alina Bialkowski; Clinton Fookes; Sridha Sridharan (AVSS, 2011)

Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League. - Patrick Lucey; Alina Bialkowski; Peter Carr 001; Eric Foote; Iain A. Matthews (AAAI, 2012)

A Database for Person Re-Identification in Multi-Camera Surveillance Networks. - Alina Bialkowski; Simon Denman; Sridha Sridharan; Clinton Fookes; Patrick Lucey (DICTA, 2012)

Can You Describe Him for Me? A Technique for Semantic Person Search in Video. - Simon Denman; Michael Halstead; Alina Bialkowski; Clinton Fookes; Sridha Sridharan (DICTA, 2012)

Identifying Customer Behaviour and Dwell Time Using Soft Biometrics. - Simon Denman; Alina Bialkowski; Clinton Fookes; Sridha Sridharan (Video Analytics for Business Intelligence, 2012)

Recognising Team Activities from Noisy Data. - Alina Bialkowski; Patrick Lucey; Peter Carr 001; Simon Denman; Iain A. Matthews; Sridha Sridharan (CVPR Workshops, 2013)

Representing and Discovering Adversarial Team Behaviors Using Player Roles. - Patrick Lucey; Alina Bialkowski; Peter Carr 001; Stuart Morgan; Iain A. Matthews; Yaser Sheikh (CVPR, 2013)

Person Re-Identification Using Group Information. - Alina Bialkowski; Patrick Lucey; Xinyu Wei; Sridha Sridharan (DICTA, 2013)

Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. - Alina Bialkowski; Patrick Lucey; Peter Carr 001; Yisong Yue; Sridha Sridharan; Iain A. Matthews (ICDM, 2014)

Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data. - Alina Bialkowski; Patrick Lucey; Peter Carr 001; Yisong Yue; Sridha Sridharan; Iain A. Matthews (ICDM Workshops, 2014)

Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction. - Yisong Yue; Patrick Lucey; Peter Carr 001; Alina Bialkowski; Iain A. Matthews (ICDM, 2014)

Discovering Team Structures in Soccer from Spatiotemporal Data. - Alina Bialkowski; Patrick Lucey; Peter Carr 001; Iain A. Matthews; Sridha Sridharan; Clinton Fookes (IEEE Trans. Knowl. Data Eng., 2016)

Predicting the Perceptual Demands of Urban Driving with Video Regression. - Luke Palmer; Alina Bialkowski; Gabriel J. Brostow; Jonas Ambeck-Madsen; Nilli Lavie (WACV, 2017)

Closing the Gap of Simulation to Reality in Electromagnetic Imaging of Brain Strokes via Deep Neural Networks. - Ahmed Al-Saffar; Alina Bialkowski; Mahsa Baktashmotlagh; Adnan Trakic; Lei Guo 007; Amin M. Abbosh (IEEE Trans. Computational Imaging, 2021)

Distilling Representational Similarity using Centered Kernel Alignment (CKA). - Aninda Saha; Alina Bialkowski; Sara Khalifa (BMVC, 2022)

Using Social Sensing to Validate Flood Risk Modelling in England. - Joshua Joyce; Rudy Arthur; Guangtao Fu; Alina Bialkowski; Hywel T. P. Williams (AI (2), 2023)

Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification. - Richard Wainwright; Danny Wang; Harrison Layton; Alina Bialkowski (AI (1), 2023)

The Effect of Training Data Quantity on Monte Carlo Dropout Uncertainty Quantification in Deep Learning. - Harrison Cusack; Alina Bialkowski (IJCNN, 2023)

Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. - Shaofei Shen 001; Mingzhe Zhang; Weitong Chen 001; Alina Bialkowski; Miao Xu 001 (PAKDD (4), 2023)

Brain Injury Localization and Size Estimation Using Electromagnetic Symmetric Crossing Lines Method. - Guohun Zhu; Alina Bialkowski; Stuart Crozier; Lei Guo 007; Phong Thanh Nguyen; Anthony E. Stancombe; Amin M. Abbosh (IEEE Trans. Instrum. Meas., 2023)

Where is the human in human-centered AI? Insights from developer priorities and user experiences. - 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 (Comput. Hum. Behav., 2023)

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. - Shaofei Shen 001; Chenhao Zhang 004; Yawen Zhao 002; Alina Bialkowski; Weitong Chen 001; Miao Xu 001 (ICLR, 2024)

CaMU: Disentangling Causal Effects in Deep Model Unlearning. - Shaofei Shen 001; Chenhao Zhang 004; Alina Bialkowski; Weitong Chen 001; Miao Xu 001 (SDM, 2024)

Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects. - Fei Xue; Lei Guo 007; Alina Bialkowski; Amin M. Abbosh (Sensors, 2024)

Supporting Data-Frame Dynamics in AI-assisted Decision Making. - Chengbo Zheng; Tim Miller; Alina Bialkowski; H. Peter Soyer; Monika Janda (CoRR, 2025)

Machine Unlearning for Streaming Forgetting. - Shaofei Shen 001; Chenhao Zhang 004; Yawen Zhao 002; Alina Bialkowski; Weitong Chen 001; Miao Xu 001 (CoRR, 2025)