A GPU Accelerated Hyperspectral 3D Convolutional Neural Network Classification at the Edge with Principal Component Analysis Preprocessing. - Gianluca De Lucia; Marco Lapegna; Diego Romano (PPAM (2), 2022)

Towards explainable AI for hyperspectral image classification in Edge Computing environments. - Gianluca De Lucia; Marco Lapegna; Diego Romano (Comput. Electr. Eng., 2022)

Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy. - Gianluca De Lucia; Marco Lapegna; Diego Romano (Future Gener. Comput. Syst., 2023)

Deploying AI-Based Environmental Monitoring Applications at the Edge: Two Case Studies. - Gianluca De Lucia; Giuliano Laccetti; Marco Lapegna; Raffaele Montella; Diego Romano (PPAM (2), 2024)

KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data. - Lucia Maddalena 001; Diego Romano; Francesco Gregoretti; Gianluca De Lucia; Laura Antonelli; Ernesto Soscia; Gabriele Pontillo; Carla Langella; Flavio Fazioli; Carla Giusti; Rosario Varriale (SoftwareX, 2024)

Analysis and Mitigation of Soft-errors in GPU-accelerated Hyperspectral Image Classifiers. - Sergiu-Mohamed Abed; Juan-David Guerrero-Balaguera; Josie E. Rodriguez Condia; Gianluca De Lucia; Marco Lapegna; Matteo Sonza Reorda (DDECS, 2025)

A GPU Covert Channel Based on Workload Manipulation Through the CuPy Library. - Gianluca De Lucia; Alessio Merlo; Luca Caviglione (ITASEC/SERICS, 2025)