On the Statistical Independence of Parametric Representations in Biometric Cryptosystems: Evaluation and Improvement. - Riccardo Musto; Emanuele Maiorana; Ridvan Salih Kuzu; Gabriel Emile Hine; Patrizio Campisi (ICPRAM, 2022)

Advancing Prisma Pansharpening: A Deep Learning Approach with Synthetic Data Pretraining and Transfer Learning. - Riccardo Musto; Alessia Tricomi; Roberta Bruno; Giorgio Pasquali (WHISPERS, 2023)

Learning Biometric Representations with Mutually Independent Features Using Convolutional Autoencoders. - Riccardo Musto; Ridvan Salih Kuzu; Emanuele Maiorana; Gabriel Emile Hine; Patrizio Campisi (SN Comput. Sci., 2023)

Convolutional Attention Module for Prisma Pansharpening in the Guided Full Resolution Framework. - Riccardo Musto; Alessia Tricomi; Roberta Bruno; Giorgio Pasquali (IGARSS, 2024)

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset. - Nikolaos Dionelis; Jente Bosmans; Riccardo Musto; Giancarlo Paoletti; Simone Sarti; Giacomo Cascarano; Casper Fibaek; Luke Camilleri; Bertrand Le Saux; Nicolas Longépé (CoRR, 2025)