Affiliation:
1. Nanjing University, China
2. Huawei, China
Funder
Fundamental Research Funds for the Central Universities
National Natural Science Foundation of China
Reference43 articles.
1. Martín Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving and Michael Isard. 2016. Tensorflow: A System for Large-scale Machine Learning. In $USENIX$ Symposium on Operating Systems Design and Implementation. 265–283. https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi Martín Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving and Michael Isard. 2016. Tensorflow: A System for Large-scale Machine Learning. In $USENIX$ Symposium on Operating Systems Design and Implementation. 265–283. https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi
2. Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer
3. Symbolic Path-Oriented Test Data Generation for Floating-Point Programs
4. On-the-fly detection of instability problems in floating-point program execution
5. The Oracle Problem in Software Testing: A Survey
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