| Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends QM Rahman, P Corke, F Dayoub IEEE Access 9, 20067-20075, 2021 | 59 | 2021 |
| Did you miss the sign? A false negative alarm system for traffic sign detectors QM Rahman, N Sünderhauf, F Dayoub 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 40 | 2019 |
| Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment QM Rahman, N Sünderhauf, F Dayoub Autonomous Vehicle VIsion workshop, WACV 2021, 2020 | 31 | 2020 |
| FSNet: A Failure Detection Framework for Semantic Segmentation QM Rahman, N Sunderhauf, P Corke, F Dayoub IEEE Robotics and Automation Letters, 2022 | 24 | 2022 |
| Online Monitoring of Object Detection Performance During Deployment QM Rahman, N Sünderhauf, F Dayoub 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 22* | 2021 |
| A sliding window-based algorithm for detecting leaders from social network action streams QM Rahman, A Fariha, A Mandal, CF Ahmed, CK Leung 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 18 | 2015 |
| Performance monitoring of deep learning vision systems during deployment QM Rahman Queensland University of Technology, 2022 | | 2022 |
Feras DayoubThe University of Adelaide - Australian Institute for Machine Learning (AIML)Verified email at adelaide.edu.au
