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Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing.

, , , , , and . BioCAS, page 163-167. IEEE, (2022)

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Deep Neural Oracle With Support Identification in the Compressed Domain., , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (4): 458-468 (2020)Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications., , , , , , , , , and 2 other author(s). IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (1): 395-407 (March 2023)Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment., , , , and . BioCAS, page 1-6. IEEE, (2021)A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification., , , , and . ISCAS, page 712-716. IEEE, (2022)An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction., , , , , and . BioCAS, page 1-5. IEEE, (2021)Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain., , , , , , , , , and . MWSCAS, page 458-462. IEEE, (2023)Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation., , , , , and . MWSCAS, page 629-633. IEEE, (2023)An architecture for ultra-low-voltage ultra-low-power compressed sensing-based acquisition systems., , , , and . NorCAS, page 1-7. IEEE, (2021)An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques., , , , , and . ISCAS, page 1-5. IEEE, (2019)Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design., , , , , , and . I2MTC, page 1-6. IEEE, (2023)