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Role of circuit representation in evolutionary design of energy-efficient approximate circuits., , and . IET Comput. Digit. Tech., 12 (4): 139-149 (2018)Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks., , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (1): 212-224 (March 2023)Implementing A Unique Chip Id On A Reconfigurable Polymorphic Circuit., , , , and . Inf. Technol. Control., 42 (1): 7-14 (2013)ADAC: Automated Design of Approximate Circuits., , , , , and . CAV (1), volume 10981 of Lecture Notes in Computer Science, page 612-620. Springer, (2018)ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems., , , , and . DAC, page 1-6. IEEE, (2020)General Boolean Function Benchmark Suite., , , , , and . FOGA, page 84-95. ACM, (2023)Towards a Scalable EA-Based Optimization of Digital Circuits., and . EuroGP, volume 11451 of Lecture Notes in Computer Science, page 81-97. Springer, (2019)Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers., , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 28 (2): 317-328 (2020)TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU., , , and . DATE, page 294-297. IEEE, (2020)Adaptive verifiability-driven strategy for evolutionary approximation of arithmetic circuits., , , , , and . Appl. Soft Comput., (2020)