Energy-Efficient Convolutional Neural Networks via Recurrent Data Reuse. - Luca Mocerino; Valerio Tenace; Andrea Calimera (DATE, 2019)

CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs. - Luca Mocerino; Andrea Calimera (ICECS, 2019)

TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks. - Luca Mocerino; Andrea Calimera (AICAS, 2020)

AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets. - Luca Mocerino; Roberto Giorgio Rizzo; Valentino Peluso; Andrea Calimera; Enrico Macii (VLSI-SoC, 2021)

On the Efficiency of AdapTTA: An Adaptive Test-Time Augmentation Strategy for Reliable Embedded ConvNets. - Luca Mocerino; Roberto Giorgio Rizzo; Valentino Peluso; Andrea Calimera; Enrico Macii (VLSI-SoC (Selected Papers), 2021)

Adaptive Test-Time Augmentation for Low-Power CPU. - Luca Mocerino; Roberto Giorgio Rizzo; Valentino Peluso; Andrea Calimera; Enrico Macii (CoRR, 2021)

Fast and Accurate Inference on Microcontrollers With Boosted Cooperative Convolutional Neural Networks (BC-Net). - Luca Mocerino; Andrea Calimera (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Dynamic ConvNets on Tiny Devices via Nested Sparsity. - Matteo Grimaldi; Luca Mocerino; Antonio Cipolletta; Andrea Calimera (IEEE Internet Things J., 2023)