PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. - Daniele Jahier Pagliari; Matteo Risso; Beatrice Alessandra Motetti; Alessio Burrello (FDL, 2023)

Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. - Beatrice Alessandra Motetti; Luca Crupi; Mustafa Omer Mohammed Elamin Elshaigi; Matteo Risso; Daniele Jahier Pagliari; Daniele Palossi; Alessio Burrello (DATE, 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)

Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. - Beatrice Alessandra Motetti; Matteo Risso; Alessio Burrello; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari (CoRR, 2024)

Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. - Alessio Burrello; Matteo Risso; Beatrice Alessandra Motetti; Enrico Macii; Luca Benini; Daniele Jahier Pagliari (IEEE Trans. Emerg. Top. Comput., 2024)

Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. - Matteo Risso; Alessia Goffi; Beatrice Alessandra Motetti; Alessio Burrello; Jean Baptiste Bove; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari; Giuseppe Maffeis (IPAS, 2025)