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An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study., , , , , , и . VLSI-SoC, стр. 43-48. IEEE, (2018)Deterministic Cache-based Execution of On-line Self-Test Routines in Multi-core Automotive System-on-Chips., , , , , , , и . DATE, стр. 1235-1240. IEEE, (2020)A Model-Based Framework to Assess the Reliability of Safety-Critical Applications., , , , и . DDECS, стр. 41-44. IEEE, (2021)Pros and Cons of Fault Injection Approaches for the Reliability Assessment of Deep Neural Networks., , , , , и . LATS, стр. 1-5. IEEE, (2021)Reliability Assessment Methodologies for ANN-based Systems.. LATS, стр. 1-4. IEEE, (2022)Investigating data representation for efficient and reliable Convolutional Neural Networks., , , , и . Microprocess. Microsystems, (октября 2021)Image Test Libraries for the on-line self-test of functional units in GPUs running CNNs., , , , , , , и . ETS, стр. 1-6. IEEE, (2023)Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator., , , , , , и . DFT, стр. 1-6. IEEE, (2023)A Fast Reliability Analysis of Image Segmentation Neural Networks Exploiting Statistical Fault Injections., , и . LATS, стр. 1-6. IEEE, (2023)Evaluating Convolutional Neural Networks Reliability depending on their Data Representation., , , и . DSD, стр. 672-679. IEEE, (2020)