Francesco Daghero

According to our database, Francesco Daghero authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers.

Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti, Luca Benini, Massimo Poncino, Alessio Burrello

CoRR, March, 2025

Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning.

Francesco Daghero, Gabriele Faraone, Eugenio Serianni, Nicola Di Carolo, Dario Licastro, Giovanna Antonella Franchino, Michelangelo Grosso, Daniele Jahier Pagliari

Proceedings of the 23rd IEEE Interregional NEWCAS Conference, 2025

2024

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes.

Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari

IEEE Internet Things J., January, 2024

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

Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello

CoRR, 2024

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

Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2024

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

Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello

Proceedings of the European Robotics Forum 2024, 2024

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

Francesco Daghero, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Nicola Di Carolo, Giovanna Antonella Franchino, Dario Licastro, Eugenio Serianni

Proceedings of the IEEE International Conference on Design, 2024

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

Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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.

Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimír Janícek, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Stastný, Patrik Vacula, Giorgia Vitanza, Chen Xie

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.

Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

IEEE Internet Things J., August, 2023

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

Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

Sensors, February, 2023

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

Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco

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.

Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

ACM Trans. Embed. Comput. Syst., 2022

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

Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino

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.

Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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

2021

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

Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino

Adv. Comput., 2021

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

Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers.

Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari

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.

Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino

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

2020

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

Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020