Nathan Aschbacher

According to our database, Nathan Aschbacher authored at least 3 papers in 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Identifying the Hazard Boundary of ML-Enabled Autonomous Systems Using Cooperative Coevolutionary Search.

Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher

IEEE Trans. Software Eng., December, 2023

An Empirical Study on Log-based Anomaly Detection Using Machine Learning.

Shan Ali, Chaima Boufaied, Domenico Bianculli, Paula Branco, Lionel C. Briand, Nathan Aschbacher

CoRR, 2023

Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search.

Sepehr Sharifi, Donghwan Shin, Lionel C. Briand, Nathan Aschbacher

CoRR, 2023