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Michael Austin Langford
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2020 – today
- 2024
- [j3]Michael Austin Langford
, Sol Zilberman
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence. ACM Trans. Auton. Adapt. Syst. 19(3): 17:1-17:34 (2024) - 2023
- [j2]Michael Austin Langford, Kenneth H. Chan
MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty. Softw. Syst. Model. 22(5): 1543-1563 (2023) - 2022
- [c6]Michael Austin Langford, Betty H. C. Cheng
A Modular and Composable Approach to Develop Trusted Artificial Intelligence. ACSOS 2022: 121-130 - 2021
- [j1]Michael Austin Langford, Betty H. C. Cheng:
Enki: A Diversity-driven Approach to Test and Train Robust Learning-enabled Systems. ACM Trans. Auton. Adapt. Syst. 15(2): 5:1-5:32 (2021) - [c5]Michael Austin Langford, Kenneth H. Chan
MoDALAS: Model-Driven Assurance for Learning-Enabled Autonomous Systems. MoDELS 2021: 182-193 - [c4]Michael Austin Langford, Betty H. C. Cheng
"Know What You Know": Predicting Behavior for Learning-Enabled Systems When Facing Uncertainty. SEAMS@ICSE 2021: 78-89 - 2020
- [c3]Betty H. C. Cheng
AC-ROS: assurance case driven adaptation for the robot operating system. MoDELS 2020: 102-113
2010 – 2019
- 2019
- [c2]Michael Austin Langford, Betty H. C. Cheng
Enhancing Learning-Enabled Software Systems to Address Environmental Uncertainty. ICAC 2019: 115-124 - [c1]Michael Austin Langford, Glen A. Simon, Philip K. McKinley, Betty H. C. Cheng
Applying evolution and novelty search to enhance the resilience of autonomous systems. SEAMS@ICSE 2019: 63-69
Coauthor Index
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