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Francesco Daghero
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 21
Top Topics
Efficient Inference
Deep Learning
Random Forests
Human Activity Recognition
Top Venues
CoRR
IEEE Internet Things J.
ICECS
ACM Trans. Embed. Comput. Syst.
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Publications
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Matteo Risso
,
Chen Xie
,
Francesco Daghero
,
Alessio Burrello
,
Seyedmorteza Mollaei
,
Marco Castellano
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays.
CoRR
(2024)
Francesco Daghero
,
Alessio Burrello
,
Enrico Macii
,
Paolo Montuschi
,
Massimo Poncino
,
Daniele Jahier Pagliari
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes.
IEEE Internet Things J.
11 (1) (2024)
Khaled Sidahmed Sidahmed Alamin
,
Francesco Daghero
,
Giovanni Pollo
,
Daniele Jahier Pagliari
,
Yukai Chen
,
Enrico Macii
,
Massimo Poncino
,
Sara Vinco
Model-Driven Dataset Generation for Data-Driven Battery SOH Models.
ISLPED
(2023)
Chen Xie
,
Francesco Daghero
,
Yukai Chen
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays.
IEEE Internet Things J.
10 (15) (2023)
Chen Xie
,
Alessio Burrello
,
Francesco Daghero
,
Luca Benini
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference.
Sensors
23 (4) (2023)
Chen Xie
,
Francesco Daghero
,
Yukai Chen
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays.
CoRR
(2023)
Francesco Daghero
,
Alessio Burrello
,
Enrico Macii
,
Paolo Montuschi
,
Massimo Poncino
,
Daniele Jahier Pagliari
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes.
CoRR
(2023)
Francesco Daghero
,
Chen Xie
,
Daniele Jahier Pagliari
,
Alessio Burrello
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors.
CoRR
(2022)
Chen Xie
,
Francesco Daghero
,
Yukai Chen
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs.
CoRR
(2022)
Francesco Daghero
,
Alessio Burrello
,
Chen Xie
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks.
ACM Trans. Embed. Comput. Syst.
21 (4) (2022)
Francesco Daghero
,
Daniele Jahier Pagliari
,
Massimo Poncino
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs.
PRIME
(2022)
Francesco Daghero
,
Daniele Jahier Pagliari
,
Massimo Poncino
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs.
CoRR
(2022)
Francesco Daghero
,
Alessio Burrello
,
Chen Xie
,
Luca Benini
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers.
CoRR
(2022)
Chen Xie
,
Francesco Daghero
,
Yukai Chen
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs.
ISCAS
(2022)
Francesco Daghero
,
Alessio Burrello
,
Chen Xie
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks.
CoRR
(2022)
Francesco Daghero
,
Alessio Burrello
,
Daniele Jahier Pagliari
,
Luca Benini
,
Enrico Macii
,
Massimo Poncino
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence.
CoRR
(2022)
Francesco Daghero
,
Alessio Burrello
,
Chen Xie
,
Luca Benini
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers.
VLSI-SoC (Selected Papers)
(2021)
Francesco Daghero
,
Alessio Burrello
,
Chen Xie
,
Luca Benini
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
,
Daniele Jahier Pagliari
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers.
VLSI-SoC
(2021)
Francesco Daghero
,
Chen Xie
,
Daniele Jahier Pagliari
,
Alessio Burrello
,
Marco Castellano
,
Luca Gandolfi
,
Andrea Calimera
,
Enrico Macii
,
Massimo Poncino
Ultra-compact binary neural networks for human activity recognition on RISC-V processors.
CF
(2021)
Francesco Daghero
,
Daniele Jahier Pagliari
,
Massimo Poncino
Chapter Eight - Energy-efficient deep learning inference on edge devices.
Adv. Comput.
122 (2021)
Francesco Daghero
,
Alessio Burrello
,
Daniele Jahier Pagliari
,
Luca Benini
,
Enrico Macii
,
Massimo Poncino
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence.
ICECS
(2020)