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Hardware Execution Time Prediction for Neural Network Layers., , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 582-593. Springer, (2022)Behavioral-level thermal- and aging-estimation flow., , , and . LATW, page 1-6. IEEE, (2011)Early Power & Timing Estimation of Custom Hardware Blocks based on Automatically Generated Combinatorial Macros., , , and . MBMV, page 147-158. Institut für Angewandte Mikroelektronik und Datentechnik, Fakultät für Informatik und Elektrotechnik, Universität Rostock, (2013)A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-core Platforms., , , , , and . SAMOS, volume 13511 of Lecture Notes in Computer Science, page 250-263. Springer, (2022)An Embedded CNN Implementation for On-Device ECG Analysis., , , and . PerCom Workshops, page 1-6. IEEE, (2020)Using Network Architecture Search for Optimizing Tensor Compression., and . IESS, volume 669 of IFIP Advances in Information and Communication Technology, page 139-150. Springer, (2022)Accelerating and pruning CNNs for semantic segmentation on FPGA., , , , , , , , , and 1 other author(s). DAC, page 145-150. ACM, (2022)Fast Yet Accurate Timing and Power Prediction of Artificial Neural Networks Deployed on Clock-Gated Multi-Core Platforms., , , , , and . DroneSE/RAPIDO@HiPEAC, page 79-86. ACM, (2023)A Comparison of Approaches for High-Level Power Estimation of LUT-Based DSP Components., , and . ReConFig, page 361-366. IEEE Computer Society, (2008)