| Machine learning methods for wind turbine condition monitoring: A review A Stetco, F Dinmohammadi, X Zhao, V Robu, D Flynn, M Barnes, J Keane, ... Renewable energy 133, 620-635, 2019 | 345 | 2019 |
| A Safety Framework for Critical Systems Utilising Deep Neural Networks X Zhao, A Banks, J Sharp, V Robu, D Flynn, M Fisher, X Huang Computer Safety, Reliability, and Security 12234, 244-259, 2020 | 29 | 2020 |
| Assessing the Safety and Reliability of Autonomous Vehicles from Road Testing X Zhao, V Robu, D Flynn, K Salako, L Strigini ISSRE'19: IEEE 30th Int. Symp. on Software Reliability Engineering, 13-23, 2019 | 29 | 2019 |
| A New Approach to Assessment of Confidence in Assurance Cases X Zhao, D Zhang, M Lu, F Zeng Computer Safety, Reliability, and Security 7613, 79-91, 2012 | 29 | 2012 |
| Probabilistic Model Checking of Robots Deployed in Extreme Environments X Zhao, V Robu, D Flynn, F Dinmohammadi, M Fisher, M Webster AAAI'19: Proc. of the AAAI Conference on Artificial Intelligence 33, 8066-8074, 2019 | 26 | 2019 |
| Coverage Guided Testing for Recurrent Neural Networks W Huang, Y Sun, X Zhao, J Sharp, W Ruan, J Meng, X Huang IEEE Transactions on Reliability, 2021 | 21 | 2021 |
| Verifiable self-certifying autonomous systems M Fisher, E Collins, L Dennis, M Luckcuck, M Webster, M Jump, V Page, ... ISSRE'18: IEEE 29th Int. Symp. on Software Reliability Engineering Workshops …, 2018 | 21 | 2018 |
| Modeling the probability of failure on demand (pfd) of a 1-out-of-2 system in which one channel is “quasi-perfect” X Zhao, B Littlewood, A Povyakalo, L Strigini, D Wright Reliability Engineering & System Safety 158, 230-245, 2017 | 19 | 2017 |
| BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations X Zhao, W Huang, X Huang, V Robu, D Flynn UAI'21: 37th Conf. on Uncertainty in Artificial Intelligence, 887-896, 2021 | 13 | 2021 |
| Assessing safety-critical systems from operational testing: A study on autonomous vehicles X Zhao, K Salako, L Strigini, V Robu, D Flynn Information and Software Technology 128, 106393, 2020 | 13 | 2020 |
| Conservative claims for the probability of perfection of a software-based system using operational experience of previous similar systems X Zhao, B Littlewood, A Povyakalo, L Strigini, D Wright Reliability Engineering & System Safety 175, 265-282, 2018 | 11 | 2018 |
| Conservative Claims about the Probability of Perfection of Software-based Systems X Zhao, B Littlewood, A Povyakalo, D Wright ISSRE'15: IEEE 26th Int. Symp. on Software Reliability Engineering, 130-140, 2015 | 11 | 2015 |
| UAS Operators Safety and Reliability Survey: Emerging Technologies towards the Certification of Autonomous UAS M Osborne, J Lantair, Z Shafiq, X Zhao, V Robu, D Flynn, J Perry ICSRS'19: IEEE Int. Conf. on System Reliability and Safety, 203-212, 2019 | 10 | 2019 |
| Towards integrating formal verification of autonomous robots with battery prognostics and health management X Zhao, M Osborne, J Lantair, V Robu, D Flynn, X Huang, M Fisher, ... SEFM'19: Int. Conf. on Software Engineering and Formal Methods, 105-124, 2019 | 9 | 2019 |
| Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles X Zhao, W Huang, A Banks, V Cox, D Flynn, S Schewe, X Huang AISafety'21: Workshop on AI Safety at IJCAI-21, 2021 | 7 | 2021 |
| Interval change-point detection for runtime probabilistic model checking X Zhao, R Calinescu, S Gerasimou, V Robu, D Flynn ASE'20: 35th IEEE/ACM Int. Conf. on Automated Software Engineering, 2020 | 7 | 2020 |
| On Reliability Assessment When a Software-based System Is Replaced by a Thought-to-be-Better One B Littlewood, K Salako, L Strigini, X Zhao Reliability Engineering & System Safety 197, 106752, 2020 | 7 | 2020 |
| The Application of Machine Learning and Low Frequency Sonar for Subsea Power Cable Integrity Evaluation W Tang, D Flynn, K Brown, R Valentin, X Zhao OCEANS 2019 MTS/IEEE SEATTLE, 2019 | 7 | 2019 |
| Detecting Operational Adversarial Examples for Reliable Deep Learning X Zhao, W Huang, S Schewe, Y Dong, X Huang DSN'21: 51st IEEE/IFIP Int. Conf. on Dependable Systems and Networks - Fast …, 2021 | 5 | 2021 |
| Embedding and Extraction of Knowledge in Tree Ensemble Classifiers W Huang, X Zhao, X Huang Machine Learning 11 (5), 1925-1958, 2021 | 3* | 2021 |
David FlynnProfessor , University of GlasgowVerified email at Glasgow.ac.uk
