How Data Diversification Benefits the Reliability of Three-version Image Classification Systems
Author:
Affiliation:
1. University of Tsukuba,Department of Computer Science,Tsukuba,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10027798/10027801/10027829.pdf?arnumber=10027829
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5. Towards Evaluating the Robustness of Neural Networks
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1. Reliability and Performance Evaluation of Two-input Machine Learning Systems;2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC);2023-10-24
2. Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09
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