Alina Bialkowski

According to our database, Alina Bialkowski authored at least 24 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.

Fei Xue, Lei Guo, Alina Bialkowski, Amin M. Abbosh

Sensors, 2024

CaMU: Disentangling Causal Effects in Deep Model Unlearning.

Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu

CoRR, 2024

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., April, 2023

Brain Injury Localization and Size Estimation Using Electromagnetic Symmetric Crossing Lines Method.

Guohun Zhu, Alina Bialkowski, Stuart Crozier, Lei Guo, Phong Thanh Nguyen, Anthony E. Stancombe, Amin M. Abbosh

IEEE Trans. Instrum. Meas., 2023

Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level.

Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

The Effect of Training Data Quantity on Monte Carlo Dropout Uncertainty Quantification in Deep Learning.

Harrison Cusack, Alina Bialkowski

Proceedings of the International Joint Conference on Neural Networks, 2023

Beyond Model Accuracy: Identifying Hidden Underlying Issues in Chest X-ray Classification.

Richard Wainwright, Danny Wang, Harrison Layton, Alina Bialkowski

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Using Social Sensing to Validate Flood Risk Modelling in England.

Joshua Joyce, Rudy Arthur, Guangtao Fu, Alina Bialkowski, Hywel T. P. Williams

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Distilling Representational Similarity using Centered Kernel Alignment (CKA).

Aninda Saha, Alina Bialkowski, Sara Khalifa

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

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, Amin M. Abbosh

IEEE Trans. Computational Imaging, 2021

2017

Predicting the Perceptual Demands of Urban Driving with Video Regression.

Luke Palmer, Alina Bialkowski, Gabriel J. Brostow, Jonas Ambeck-Madsen, Nilli Lavie

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016

Discovering Team Structures in Soccer from Spatiotemporal Data.

Alina Bialkowski, Patrick Lucey, Peter Carr, Iain A. Matthews, Sridha Sridharan, Clinton Fookes

IEEE Trans. Knowl. Data Eng., 2016

2014

Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction.

Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain A. Matthews

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data.

Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data.

Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Person Re-Identification Using Group Information.

Alina Bialkowski, Patrick Lucey, Xinyu Wei, Sridha Sridharan

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Representing and Discovering Adversarial Team Behaviors Using Player Roles.

Patrick Lucey, Alina Bialkowski, Peter Carr, Stuart Morgan, Iain A. Matthews, Yaser Sheikh

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Recognising Team Activities from Noisy Data.

Alina Bialkowski, Patrick Lucey, Peter Carr, Simon Denman, Iain A. Matthews, Sridha Sridharan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Identifying Customer Behaviour and Dwell Time Using Soft Biometrics.

Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan

Proceedings of the Video Analytics for Business Intelligence, 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

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

A Database for Person Re-Identification in Multi-Camera Surveillance Networks.

Alina Bialkowski, Simon Denman, Sridha Sridharan, Clinton Fookes, Patrick Lucey

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League.

Patrick Lucey, Alina Bialkowski, Peter Carr, Eric Foote, Iain A. Matthews

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Determining operational measures from multi-camera surveillance systems using soft biometrics.

Simon Denman, Alina Bialkowski, Clinton Fookes, Sridha Sridharan

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2009

Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment.

Simon Denman, Clinton Fookes, Alina Bialkowski, Sridha Sridharan

Proceedings of the DICTA 2009, 2009