Francesco Daghero

Orcid: 0000-0001-9595-7216

According to our database1, Francesco Daghero authored at least 14 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes.
IEEE Internet Things J., January, 2024

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones.
CoRR, 2024

HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays.
CoRR, 2024

2023
Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays.
IEEE Internet Things J., August, 2023

Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference.
Sensors, February, 2023

Model-Driven Dataset Generation for Data-Driven Battery SOH Models.
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.
ACM Trans. Embed. Comput. Syst., 2022

Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs.
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.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Chapter Eight - Energy-efficient deep learning inference on edge devices.
Adv. Comput., 2021

Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers.
Proceedings of the VLSI-SoC: Technology Advancement on SoC Design, 2021

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers.
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.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020


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