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Rob Ashmore
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2020 – today
- 2022
- [j2]Rob Ashmore, Radu Calinescu, Colin Paterson
:
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges. ACM Comput. Surv. 54(5): 111:1-111:39 (2022) - [c8]Rob Ashmore, Andrew Howe, Rhiannon Chilton, Shamal Faily:
Programming Language Evaluation Criteria for Safety-Critical Software in the Air Domain. ISSRE Workshops 2022: 230-237 - 2021
- [c7]Rob Ashmore, Alec Banks:
The Utility of Neural Network Test Coverage Measures. SafeAI@AAAI 2021 - 2020
- [c6]Rob Ashmore, James Sharp
Assurance Argument Elements for Off-the-Shelf, Complex Computational Hardware. SAFECOMP 2020: 260-269
2010 – 2019
- 2019
- [j1]Youcheng Sun
Structural Test Coverage Criteria for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 18(5s): 94:1-94:23 (2019) - [c5]Alec Banks, Rob Ashmore:
Requirements Assurance in Machine Learning. SafeAI@AAAI 2019 - [c4]Youcheng Sun, Xiaowei Huang, Daniel Kroening
DeepConcolic: testing and debugging deep neural networks. ICSE (Companion Volume) 2019: 111-114 - [c3]Youcheng Sun, Xiaowei Huang, Daniel Kroening
Structural test coverage criteria for deep neural networks. ICSE (Companion Volume) 2019: 320-321 - [i2]Rob Ashmore, Radu Calinescu
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges. CoRR abs/1905.04223 (2019) - 2018
- [c2]Rob Ashmore, Matthew Hill:
"Boxing Clever": Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift. SAFECOMP Workshops 2018: 393-405 - 2017
- [c1]Kate Gill, Rob Ashmore:
Opportunities and Challenges of Third-Party Sustainment of Critical Software in Dependable Systems. DSN Workshops 2017: 115-116 - 2014
- [i1]Rob Ashmore:
The Utility and Practicality of Quantifying Software Reliability. CoRR abs/1404.7528 (2014)
Coauthor Index
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