| Vehicle classification with confidence by classified vector quantization B Zhang, Y Zhou, H Pan IEEE Intelligent transportation systems magazine 5 (3), 8-20, 2013 | 35 | 2013 |
| Detecting and tracking small moving objects in wide area motion imagery (wami) using convolutional neural networks (cnns) Y Zhou, S Maskell 2019 22th International Conference on Information Fusion (FUSION), 1-8, 2019 | 27 | 2019 |
| Reliability validation of learning enabled vehicle tracking Y Sun, Y Zhou, S Maskell, J Sharp, X Huang 2020 IEEE International Conference on Robotics and Automation (ICRA), 9390-9396, 2020 | 16 | 2020 |
| Vehicle type and make recognition by combined features and rotation forest ensemble B Zhang, Y Zhou International Journal of Pattern Recognition and Artificial Intelligence 26 …, 2012 | 14 | 2012 |
| Moving object detection using background subtraction for a moving camera with pronounced parallax Y Zhou, S Maskell 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2017 | 13 | 2017 |
| Hybrid model of clustering and kernel autoassociator for reliable vehicle type classification B Zhang, Y Zhou, H Pan, T Tillo Machine vision and applications 25 (2), 437-450, 2014 | 9 | 2014 |
| Practical verification of neural network enabled state estimation system for robotics W Huang, Y Zhou, Y Sun, J Sharp, S Maskell, X Huang 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 7 | 2020 |
| Reliable vehicle type classification by Classified Vector Quantization B Zhang, Y Zhou 2012 5th International Congress on Image and Signal Processing, 1148-1152, 2012 | 6 | 2012 |
| Formal verification of robustness and resilience of learning-enabled state estimation systems for robotics W Huang, Y Zhou, Y Sun, A Banks, J Meng, J Sharp, S Maskell, X Huang Loughborough University, 2020 | 5 | 2020 |
| A generic anomaly detection approach applied to mixture-of-unigrams and maritime surveillance data Y Zhou, J Wright, S Maskell 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2019 | 5 | 2019 |
| RB2— PF : A novel filter-based monocular visual odometry algorithm Y Zhou, S Maskell 2017 20th International Conference on Information Fusion (Fusion), 1-8, 2017 | 4 | 2017 |
| Formal verification of robustness and resilience of learning-enabled state estimation systems W Huang, Y Zhou, G Jin, Y Sun, J Meng, F Zhang, X Huang Neurocomputing, 127643, 2024 | 1 | 2024 |
| Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People with Depression YJ Msosa, A Grauslys, Y Zhou, T Wang, I Buchan, P Langan, S Foster, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 1 | 2023 |
| Control Variates for Constrained Variables S Maskell, Y Zhou, A Mira IEEE Signal Processing Letters 29, 2333-2337, 2022 | 1 | 2022 |
| An Automated System to Discover and Track Unknown Geosynchronous Objects Using Ground-based Optical Telescopes Y Zhou, L Devlin, G Cook, S Maskell, J Barr The Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 2022 | | 2022 |
| Robust and Efficient Image Alignment Method Using the Student-t Distribution Y Zhou, S Maskell 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | | 2020 |
| On the Improvements to Stan Offered by Control Variates Y Zhou, P Clemson, S Maskell | | 2020 |
| Robust and Accurate Global Motion Estimation Using the Student-t Distribution Y Zhou, S Maskell arXiv preprint arXiv:1911.01734, 2019 | | 2019 |
| Analysing Large-Scale Surveillance Video Y Zhou PQDT-Global, 2018 | | 2018 |
| Probabilistic graphical detector fusion for localization of faces and facial parts CY Liu, Y Zhou, F de Melo, S Maskell 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2014 | | 2014 |
