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Random Forest Architectures on FPGA for Multiple Applications.

, , and . ACM Great Lakes Symposium on VLSI, page 415-418. ACM, (2017)

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An integrated functional performance simulator., , , , , and . IEEE Micro, 19 (3): 26-35 (1999)Design-for-Manufacturability Assessment for Integrated Circuits Using RADAR., and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 33 (10): 1559-1572 (2014)Improving Diagnosis Efficiency via Machine Learning., , , and . ITC, page 1-10. IEEE, (2018)LearnX: A Hybrid Deterministic-Statistical Defect Diagnosis Methodology., and . ETS, page 1-6. IEEE, (2019)Random Forest Architectures on FPGA for Multiple Applications., , and . ACM Great Lakes Symposium on VLSI, page 415-418. ACM, (2017)Yield Learning Through Physically Aware Diagnosis of IC-Failure Populations., , , , and . IEEE Des. Test Comput., 29 (1): 36-47 (2012)Towards Smarter Diagnosis: A Learning-based Diagnostic Outcome Previewer., , , and . ACM Trans. Design Autom. Electr. Syst., 25 (5): 43:1-43:20 (2020)Test: Wisdom From the Giants, Visions for the Future - Part 2., and . IEEE Des. Test, 33 (1): 77-84 (2016)Testing Nanometer Digital Integration Circuits: Myths, Reality and the Road Ahead., and . VLSI Design, page 8-9. IEEE Computer Society, (2005)Physically-aware analysis of systematic defects in integrated circuits., and . ITC, page 1-10. IEEE Computer Society, (2011)