Francesco Daghero

36 papers A 3C 2Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhancing Intelligent Battery Management on Automotive Microcontrollers Using LightGBM. ICECS Khaled Alamin, Chao Song, Sara Vinco, Francesco Daghero
2025	—	`conf`	Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. MLSys Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti, Luca Benini, Massimo Poncino, Alessio Burrello
2025	J	`jnl`	Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. CoRR Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti, Luca Benini, Massimo Poncino, Alessio Burrello
2025	J	`jnl`	MATCH: Model-Aware TVM-Based Compilation for Heterogeneous Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello
2025	—	`conf`	Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning. NewCAS Francesco Daghero, Gabriele Faraone, Eugenio Serianni, Nicola Di Carolo, Dario Licastro, Giovanna Antonella Franchino, Michelangelo Grosso, Daniele Jahier Pagliari
2024	A	`conf`	AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. DATE 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
2024	—	`conf`	Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. SAMOS Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
2024	J	`jnl`	Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
2024	J	`jnl`	Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. IEEE Internet Things J. Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
2024	A	`conf`	HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	J	`jnl`	HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	—	`—`	Implementation of Machine Learning Algorithms on Ultra-Low-Power Hardware for In-Sensor Inference. Francesco Daghero
2024	J	`jnl`	MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. CoRR Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello
2024	—	`conf`	Machine Learning-based feasibility estimation of digital blocks in BCD technology. DTTIS Francesco Daghero, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Nicola Di Carolo, Giovanna Antonella Franchino, Dario Licastro, Eugenio Serianni
2024	J	`jnl`	Machine Learning-based feasibility estimation of digital blocks in BCD technology. CoRR Gabriele Faraone, Francesco Daghero, Eugenio Serianni, Dario Licastro, Nicola Di Carolo, Michelangelo Grosso, Giovanna Antonella Franchino, Daniele Jahier Pagliari
2024	—	`conf`	Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. ERF (1) Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2024	J	`jnl`	Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2023	J	`jnl`	Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. CoRR Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet Things J. Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	A	`conf`	Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
2023	J	`jnl`	Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
2022	J	`jnl`	Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. CoRR Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. ACM Trans. Embed. Comput. Syst. Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	C	`conf`	Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. ISCAS Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. CoRR Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	—	`conf`	Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. PRIME Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
2022	J	`jnl`	Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. CoRR Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
2022	J	`jnl`	Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors. CoRR Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
2021	C	`conf`	Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2021	J	`jnl`	Chapter Eight - Energy-efficient deep learning inference on edge devices. Adv. Comput. Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
2021	—	`conf`	Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2021	—	`conf`	Ultra-compact binary neural networks for human activity recognition on RISC-V processors. CF Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
2020	—	`conf`	Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. ICECS Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino