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 (ICECS, 2020)

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 (CF, 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 (VLSI-SoC, 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 (VLSI-SoC (Selected Papers), 2021)

Chapter Eight - Energy-efficient deep learning inference on edge devices. - Francesco Daghero; Daniele Jahier Pagliari; Massimo Poncino (Adv. Comput., 2021)

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 (ISCAS, 2022)

Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. - Francesco Daghero; Daniele Jahier Pagliari; Massimo Poncino (PRIME, 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)

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 (ISLPED, 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, 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., 2023)

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; et al. (DATE, 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 (DATE, 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 (DTTIS, 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 (ERF (1), 2024)

Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. - Francesco Daghero; Alessio Burrello; Massimo Poncino; Enrico Macii; Daniele Jahier Pagliari (SAMOS, 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)

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., 2024)

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 (NewCAS, 2025)

Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. - Francesco Daghero; Daniele Jahier Pagliari; Francesco Conti 001; Luca Benini; Massimo Poncino; Alessio Burrello (CoRR, 2025)