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ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems.

, , , , and . DAC, page 1-6. IEEE, (2020)

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ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems., , , , and . DAC, page 1-6. IEEE, (2020)XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge., , and . DAC, page 184. ACM, (2019)EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction., , , and . DAC, page 1-6. IEEE, (2020)Heterogeneous Approximate Multipliers: Architectures and Design Methodologies., , , , and . Approximate Circuits, Springer, (2019)ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images., , and . ISVC (1), volume 14361 of Lecture Notes in Computer Science, page 44-55. Springer, (2023)UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks., , , and . Mach. Learn., 113 (5): 2499-2526 (May 2024)UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks., , , and . CoRR, (2023)Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems., , , , and . ICCAD, page 1-9. IEEE, (2023)SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters., , and . IJCNN, page 1-9. IEEE, (2023)A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging., , and . IJCNN, page 1-10. IEEE, (2024)