Francesco Daghero

IEEE Internet Things J., January, 2024

MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices.

[BibT_eX]

[DOI]

Giovanna Antonella Franchino

Alessio Burrello

CoRR, 2024

Machine Learning-based feasibility estimation of digital blocks in BCD technology.

[BibT_eX]

[DOI]

CoRR, 2024

Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices.

[BibT_eX]

[DOI]

CoRR, 2024

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones.

[BibT_eX]

[DOI]

Matteo Risso

Beatrice Alessandra Motetti

Enrico Macii

Alessio Burrello

CoRR, 2024

HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays.

[BibT_eX]

[DOI]

IEEE Internet Things J., August, 2023

Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference.

[BibT_eX]

[DOI]

Khaled Sidahmed Sidahmed Alamin

Sensors, February, 2023

Model-Driven Dataset Generation for Data-Driven Battery SOH Models.

[BibT_eX]

[DOI]

Giovanni Pollo

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

2022

Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., 2022

Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference on Ph.D Research in Microelectronics and Electronics, 2022

Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

Chapter Eight - Energy-efficient deep learning inference on edge devices.

[BibT_eX]

[DOI]

Adv. Comput., 2021

Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers.

[BibT_eX]

[DOI]

Proceedings of the VLSI-SoC: Technology Advancement on SoC Design, 2021

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers.

[BibT_eX]

[DOI]

Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021

Ultra-compact binary neural networks for human activity recognition on RISC-V processors.

[BibT_eX]

[DOI]

Chen Xie

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence.

[BibT_eX]

[DOI]

Alessio Burrello

Luca Benini

Enrico Macii