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Special Session: Approximation and Fault Resiliency of DNN Accelerators., , , , , , , , , and 2 other author(s). VTS, page 1-10. IEEE, (2023)DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators., , , , , , , and . ISQED, page 1-8. IEEE, (2023)ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs., , , , and . CoRR, (2024)Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation., , , , and . ICECS, page 1-5. IEEE, (2023)Enhancing Fault Resilience of QNNs by Selective Neuron Splitting., , , , and . AICAS, page 1-5. IEEE, (2023)DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment., , , , and . ETS, page 1-6. IEEE, (2023)APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors., , , , and . DDECS, page 124-127. IEEE, (2023)Keynote: Cost-Efficient Reliability for Edge-AI Chips., , , , , , , , , and 3 other author(s). LATS, page 1-2. IEEE, (2024)Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM., , , , and . NCDHWS (2), volume 2084 of Communications in Computer and Information Science, page 260-278. Springer, (2024)Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks., , , and . DFT, page 1-4. IEEE, (2023)