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A data recomputation approach for reliability improvement of scratchpad memory in embedded systems., , , and . DFT, page 228-233. IEEE Computer Society, (2014)Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques.. CoRR, (2018)Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design., , , , , , , , and . CoRR, (2019)Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks., , , , , and . DATE, page 776-781. IEEE, (2019)XPPE: cross-platform performance estimation of hardware accelerators using machine learning., , , , , and . ASP-DAC, page 727-732. ACM, (2019)Advances and throwbacks in hardware-assisted security: special session., , , , , , , , , and 1 other author(s). CASES, page 15:1-15:10. ACM, (2018)Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning., , , , and . CF, page 212-215. ACM, (2018)2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection., , , , , , and . DATE, page 728-733. IEEE, (2019)Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads., , , , and . ASAP, page 1-8. IEEE Computer Society, (2018)Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud., , , , , and . SoCC, page 517. ACM, (2018)